M4 Pro (48 GB) vs M4 Max (64 GB) vs RTX 5090 for local AI

Pick two to four systems or devices to see which runs more models, faster, for the kind of work you do.

Hardware to compare, two to four

Winner: Apple M4 Max (64 GB)

For general chat: It runs 7 more LLMs (521 vs 514) (against the NVIDIA GeForce RTX 5090, the next best). On the other hand, the NVIDIA GeForce RTX 5090 is about 1.3× faster on its own top models.

  1. 1Apple M4 Max (64 GB)
  2. 2NVIDIA GeForce RTX 5090
  3. 3Apple M4 Pro (48 GB)
  Apple MacBook Pro (14-inch, M4 Pro or M4 Max, 2024)Apple M4 Pro (48 GB) Remove Apple MacBook Pro (14-inch, M4 Pro or M4 Max, 2024)Apple M4 Max (64 GB) Remove NVIDIA GeForce RTX 5090 Founders EditionNVIDIA GeForce RTX 5090 Remove
Memory 48.0 GB unified 64.0 GB unified 32.0 GB VRAM
Usable for models 36.0 GB 48.0 GB 32.0 GB
Memory bandwidth 273 GB/s 546 GB/s 1,792 GB/s
FP16 compute 9.2 TFLOPS 18.4 TFLOPS 104.8 TFLOPS
Launch price — — $1,999
Released 2024 2024 2025
LLMs that run 492 of 622 521 of 622 514 of 622
LLMs that run well 469 504 493
Image models that run 61 of 61 61 of 61 60 of 61
Video models that run 41 of 43 42 of 43 40 of 43
Decision models that run 69 of 70 69 of 70 68 of 70
Top-10 LLM average score 100 100 100
Top-10 LLM average speed 55.5 tok/s 89.4 tok/s 114 tok/s
Best LLM MiniCPM-V 4.7 35B-A3B Qwen3.5 35B-A3B Nanbeige4.3 33B

Highlighted values are the best of the 3. Model results assume 8K of context and the default macOS GPU memory limit on Macs.

LLMs

492 of 622 LLMs run on the Apple M4 Pro (48 GB). 36.0 GB usable for models.

521 of 622 LLMs run on the Apple M4 Max (64 GB). 48.0 GB usable for models.

514 of 622 LLMs run on the NVIDIA GeForce RTX 5090. 32.0 GB usable for models.

Model M4 Profit · speed · quality M4 Maxfit · speed · quality RTX 5090fit · speed · quality
MiniCPM-V 4.7 35B-A3BOpenBMB · 35B (3.0B active) Runs welltight fit92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Runs great90Excellent quality (A+) · 90 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.102 tok/s Runs welltight fit92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
Qwen3.5 35B-A3BAlibaba · 36B (3.0B active) Runs welltight fit92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Runs great90Excellent quality (A+) · 90 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.102 tok/s Runs welltight fit92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
Qwen3.6 35B-A3BAlibaba · 36B (3.0B active) Runs welltight fit92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Runs great90Excellent quality (A+) · 90 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.102 tok/s Runs welltight fit92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
Nex N2 Mini (35B-A3B)Nex-AGI · 35B (3.0B active) Runs great89Excellent quality (A+) · 89 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Runs great89Excellent quality (A+) · 89 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.102 tok/s Runs welltight fit91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
Sage-A1.5 35B-A3BInternScience · 36B (3.0B active) Runs great88Excellent quality (A+) · 88 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Runs great90Excellent quality (A+) · 90 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.90.1 tok/s Runs welltight fit90Excellent quality (A+) · 90 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
Gemma 4 26B-A4BGoogle · 26B (3.8B active) Runs great89Excellent quality (A+) · 89 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.51.4 tok/s Runs great91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.76.3 tok/s Runs welltight fit92Excellent quality (A+) · 92 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.139 tok/s
Ornith 1.5 35B-A3BDeepReinforce · 36B (3.0B active) Runs great87Excellent quality (A+) · 87 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Runs great89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.90.1 tok/s Runs welltight fit89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
GLM-4.7 Flash (30B-A3B)Zhipu AI · 31B (3.0B active) Runs great87Excellent quality (A+) · 87 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Runs great88Excellent quality (A+) · 88 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great85Excellent quality (A+) · 85 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.194 tok/s
Raon-1 mini Preview (30B-A4B)KRAFTON · 29B (4.3B active) Runs great87Excellent quality (A+) · 87 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great88Excellent quality (A+) · 88 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.54.2 tok/s Runs great87Excellent quality (A+) · 87 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.156 tok/s
Apodex 1.1 Mini (35B-A3B)Apodex · 36B (3.0B active) Runs great86Excellent quality (A+) · 86 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Runs great88Excellent quality (A+) · 88 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.90.1 tok/s Runs welltight fit88Excellent quality (A+) · 88 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
Ornith 1.0 35B-A3BDeepReinforce · 36B (3.0B active) Runs great86Excellent quality (A+) · 86 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Runs great88Excellent quality (A+) · 88 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.90.1 tok/s Runs welltight fit88Excellent quality (A+) · 88 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
Flint (40B-A2.5B)Recursive · 40B (2.5B active) Runs great85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.83.1 tok/s Runs great89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.102 tok/s Runs great85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.222 tok/s
Agents-A1 35B-A3BInternScience · 35B (3.0B active) Runs great84Great quality (A) · 84 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Runs great86Excellent quality (A+) · 86 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.90.1 tok/s Runs welltight fit86Excellent quality (A+) · 86 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
Qwen AgentWorld 35B-A3BAlibaba · 35B (3.0B active) Runs great84Great quality (A) · 84 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Runs great86Excellent quality (A+) · 86 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.90.1 tok/s Runs great84Great quality (A) · 84 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking.194 tok/s
Laguna XS 2.1 (33B-A3B)Poolside · 33B (3.0B active) Runs great79Great quality (A) · 79 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Runs great81Great quality (A) · 81 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.90.1 tok/s Runs welltight fit81Great quality (A) · 81 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
Nemotron Cascade 2 30B-A3BNVIDIA · 32B (3.5B active) Runs great79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.47.4 tok/s Runs great80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.63.6 tok/s Runs great77Great quality (A) · 77 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.184 tok/s
DiffusionGemma 26B-A4B ITGoogle · 26B (4.0B active) Runs great77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.42.4 tok/s Runs great78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.57.4 tok/s Runs great77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.161 tok/s
KAT-Coder V2.5 Dev (35B-A3B)Kuaishou · 35B (3.0B active) Runs great88Excellent quality (A+) · 88 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Runs great90Excellent quality (A+) · 90 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.90.1 tok/s Runs great88Excellent quality (A+) · 88 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.194 tok/s
Nemotron 3 Nano 30B-A3BNVIDIA · 32B (3.5B active) Runs great76Great quality (A) · 76 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.47.4 tok/s Runs great77Great quality (A) · 77 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.63.6 tok/s Runs great74Great quality (A) · 74 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.184 tok/s
Qwen3 30B-A3B Instruct 2507Alibaba · 31B (3.3B active) Runs great76Great quality (A) · 76 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.49.8 tok/s Runs great77Great quality (A) · 77 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.66.5 tok/s Runs great74Great quality (A) · 74 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.188 tok/s
Qwen3-VL 30B-A3B ThinkingAlibaba · 31B (3.3B active) Runs great75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.49.8 tok/s Runs great76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.66.5 tok/s Runs great73Great quality (A) · 73 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.188 tok/s
LFM2.5 24B-A2BLiquid AI · 24B (2.5B active) Runs great74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.48.8 tok/s Runs great74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.82.4 tok/s Runs great73Great quality (A) · 73 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.192 tok/s
Qwen3 30B-A3BAlibaba · 31B (3.3B active) Runs great73Great quality (A) · 73 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.49.8 tok/s Runs great74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.66.5 tok/s Runs great71Great quality (A) · 71 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.188 tok/s
Qwen3-VL 30B-A3B InstructAlibaba · 31B (3.3B active) Runs great73Great quality (A) · 73 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.49.8 tok/s Runs great74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.66.5 tok/s Runs great71Great quality (A) · 71 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.188 tok/s
Hunyuan Hy-Memory 30B-A3BTencent · 30B (3.0B active) Runs great84Great quality (A) · 84 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Runs great85Excellent quality (A+) · 85 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great82Great quality (A) · 82 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.194 tok/s
Nemotron 3.5 Lightning 30B-A3BNVIDIA · 32B (3.0B active) Runs great71Great quality (A) · 71 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Runs great72Great quality (A) · 72 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great69Good quality (B) · 69 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.194 tok/s
Qwen3.8 27BAlibaba · 28B Runs well90Excellent quality (A+) · 90 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.10.4 tok/s Runs well90Excellent quality (A+) · 90 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.20.8 tok/s Runs great90Excellent quality (A+) · 90 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.79.2 tok/s
Qwen3.6 27BAlibaba · 28B Runs well89Excellent quality (A+) · 89 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.10.4 tok/s Runs well89Excellent quality (A+) · 89 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.20.8 tok/s Runs great89Excellent quality (A+) · 89 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.79.2 tok/s
Sarvam 30BSarvam AI · 32B (2.4B active) Runs great69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.64.1 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.83.5 tok/s Runs great67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.207 tok/s
Qwen3.5 27BAlibaba · 28B Runs well88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.10.4 tok/s Runs well88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.20.8 tok/s Runs great92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.54.9 tok/s
North Mini Code 1.0 (30B-A3B)Cohere · 30B (3.0B active) Runs great79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Runs great80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great77Great quality (A) · 77 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.194 tok/s
Kimi Linear 48B-A3BMoonshot AI · 49B (3.0B active) Runs welltight fit70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.72.7 tok/s Runs great71Great quality (A) · 71 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.102 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.233 tok/s
Qwen3-Omni 30B-A3B InstructAlibaba · 35B (3.3B active) Runs great67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.57.7 tok/s Runs great69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.84.4 tok/s Runs welltight fit69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.173 tok/s
Qwen3 30B-A3B Thinking 2507Alibaba · 31B (3.3B active) Runs great77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.49.8 tok/s Runs great78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.66.5 tok/s Runs great75Great quality (A) · 75 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.188 tok/s
Qwen3 Coder 30B-A3BAlibaba · 31B (3.3B active) Runs great77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.49.8 tok/s Runs great78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.66.5 tok/s Runs great75Great quality (A) · 75 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.188 tok/s
TMax 27BAi2 · 27B Runs well85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.10.5 tok/s Runs well85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.21.1 tok/s Runs great89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.55.8 tok/s
Trinity Mini (26B-A3B)Arcee AI · 26B (3.0B active) Runs great65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
ERNIE 4.5 21B-A3BBaidu · 22B (3.0B active) Runs great64Good quality (B) · 64 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.41.3 tok/s Runs great64Good quality (B) · 64 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great64Good quality (B) · 64 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.154 tok/s
Fara 1.5 27BMicrosoft · 27B Runs well83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.10.5 tok/s Runs well83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.21.1 tok/s Runs great87Excellent quality (A+) · 87 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.55.8 tok/s
Nemotron 3.5 Bolt 74B-A9BNVIDIA · 75B (9.0B active) Runs welltight fit64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.45.2 tok/s Runs welltight fit77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.65.3 tok/s Runs welloffloads to RAM77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.45.6 tok/s
Nanbeige4.3 33BBOSS Zhipin (Nanbeige) · 33B Runs well80Great quality (A) · 80 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.11.3 tok/s Runs well94Excellent quality (A+) · 94 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.12.1 tok/s Runs welltight fit94Excellent quality (A+) · 94 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.46.1 tok/s
UI-Mate 27BTencent · 27B Runs well81Great quality (A) · 81 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.10.5 tok/s Runs well81Great quality (A) · 81 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.21.1 tok/s Runs great85Excellent quality (A+) · 85 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.55.8 tok/s
Kolibri 1 (78B-A3.5B)Aleph Alpha · 78B (3.5B active) Runs welltight fit63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.95.9 tok/s Runs welltight fit76Great quality (A) · 76 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.127 tok/s Runs welloffloads to RAM76Great quality (A) · 76 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.86.5 tok/s
Axion 1.0 35BAxion · 35B (3.0B active) Runs great60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Runs great61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.90.1 tok/s Runs welltight fit61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
gpt-oss 20BOpenAI · 21B (3.6B active) Runs great70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.66.6 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.109 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.204 tok/s
ERNIE 4.5 21B-A3B ThinkingBaidu · 22B (3.0B active) Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.41.3 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.154 tok/s
Maple Preview (20B-A1B)DeepGrove · 20B (1.5B active) Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.71.7 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.113 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.195 tok/s
NorthCUA Minibeipo-ai · 35B (3.0B active) Runs great57Good quality (B) · 57 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.90.1 tok/s Runs welltight fit58Good quality (B) · 58 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.179 tok/s
Gemma 4 31BGoogle · 31B Runs well76Great quality (A) · 76 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.11.9 tok/s Runs well86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.18.5 tok/s Runs great88Excellent quality (A+) · 88 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking.58.1 tok/s
Groot 19B A3B 261023GrootTeam · 19B (3.0B active) Runs great57Good quality (B) · 57 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.41.3 tok/s Runs great57Good quality (B) · 57 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great57Good quality (B) · 57 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.154 tok/s
Kimi-VL A3B Thinking 2506Moonshot AI · 16B (3.0B active) Runs great60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.41.3 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.154 tok/s
LFM2 24B-A2BLiquid AI · 24B (2.3B active) Runs great56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.51.4 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.86.0 tok/s Runs great55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.195 tok/s
Muse Glimmer 30BMeta · 30B Runs well77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.12.5 tok/s Runs well87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.19.4 tok/s Runs great91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking.51.3 tok/s
Ling 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI) · 7.9B (1.3B active) Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.42.4 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.71.6 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.145 tok/s
Gemma 4 12BGoogle · 12B Runs well78Great quality (A) · 78 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.24.1 tok/s Runs great80Great quality (A) · 80 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great83Great quality (A) · 83 of 100: how capable the model is at F16, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking.43.2 tok/s
Granite 4.0 H Small (32B-A9B)IBM · 32B (9.0B active) Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.28.9 tok/s Runs great61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.38.3 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.118 tok/s
K2 Horizon 7BInstitute of Foundation Models · 9.0B Runs great76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.32.1 tok/s Runs great79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.44.5 tok/s Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.57.3 tok/s
Phi-3.5 MoE (42B-A6.6B)Microsoft · 42B (6.6B active) Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.38.1 tok/s Runs great55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.49.8 tok/s Runs welltight fit53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.157 tok/s
Devstral Small 2 (24B)Mistral AI · 24B Runs well72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.12.0 tok/s Runs well72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.24.0 tok/s Runs great75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.63.6 tok/s
Seed-OSS 36B InstructByteDance · 36B Runs well67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.10.3 tok/s Runs well76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.16.0 tok/s Runs great76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.60.9 tok/s
Nemotron 3.5 Bolt E4BNVIDIA · 8.0B Runs great69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.44.5 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.65.3 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.115 tok/s
SenseNova Loop 9B PreviewSenseTime · 9.7B Runs well74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.29.9 tok/s Runs great77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.41.5 tok/s Runs great78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.53.4 tok/s
Hermes 4.3 36BNous Research · 36B Runs well66Good quality (B) · 66 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.10.3 tok/s Runs well75Great quality (A) · 75 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.16.0 tok/s Runs great75Great quality (A) · 75 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.60.9 tok/s
EXAONE 4.5 33BLG AI Research · 34B Runs well68Good quality (B) · 68 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.10.9 tok/s Runs well77Great quality (A) · 77 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.16.8 tok/s Runs welltight fit81Great quality (A) · 81 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.44.4 tok/s
Ornith 1.5 9BDeepReinforce · 9.7B Runs well73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.29.9 tok/s Runs great76Great quality (A) · 76 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.41.5 tok/s Runs great77Great quality (A) · 77 of 100: how capable the model is at F16, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.53.5 tok/s
Mellum2.1 Thinking (12B-A2.5B)JetBrains · 12B (2.5B active) Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.48.0 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.43.8 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.108 tok/s
Gemma 3 27B ITGoogle · 27B Runs well68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.10.5 tok/s Runs well68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.21.1 tok/s Runs great71Great quality (A) · 71 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.55.7 tok/s
Ling Mini 2.0 (16B-A1.4B)Ant Group (inclusionAI) · 16B (1.4B active) Runs great52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.75.0 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.68.0 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.198 tok/s
Gemma 4 E4BGoogle · 8.0B Runs great67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.44.5 tok/s Runs great68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.65.3 tok/s Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.115 tok/s
Qwen3.5 9BAlibaba · 9.7B Runs well72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.29.9 tok/s Runs great75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.41.5 tok/s Runs great76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.53.5 tok/s
Qwen3-VL 32B InstructAlibaba · 33B Runs well65Good quality (B) · 65 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.11.2 tok/s Runs well74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.17.3 tok/s Runs welltight fit77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.45.8 tok/s
Ornith 1.0 9BDeepReinforce · 9.7B Runs well71Great quality (A) · 71 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.29.9 tok/s Runs great74Great quality (A) · 74 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.41.5 tok/s Runs great75Great quality (A) · 75 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.53.5 tok/s
Qwen3 Coder Next (80B-A3B)Alibaba · 80B (3.0B active) Runs welltight fit60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.106 tok/s Runs welltight fit72Great quality (A) · 72 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.138 tok/s Runs welloffloads to RAM72Great quality (A) · 72 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.91.8 tok/s
Kimi-VL A3B InstructMoonshot AI · 16B (3.0B active) Runs great50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.41.3 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.154 tok/s
TMax 9BAi2 · 9.0B Runs great70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.32.2 tok/s Runs great73Great quality (A) · 73 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.44.7 tok/s Runs great74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.57.7 tok/s
MedGemma 27B Text ITGoogle · 27B Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.10.7 tok/s Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.21.4 tok/s Runs great69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.56.5 tok/s
Llama 3.3 Nemotron Super 49B v1.5NVIDIA · 50B Slowtight fit67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.7.5 tok/s Runs well76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.11.6 tok/s Runs welltight fit67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.57.0 tok/s
Nanbeige4.2 3BBOSS Zhipin (Nanbeige) · 4.2B Runs great67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.48.0 tok/s Runs great68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.70.5 tok/s Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.124 tok/s
Qwen3 32BAlibaba · 33B Runs well63Good quality (B) · 63 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.11.4 tok/s Runs well72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.17.6 tok/s Runs welltight fit75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.46.5 tok/s
Devstral Small 1.1 (24B)Mistral AI · 24B Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.12.2 tok/s Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.24.5 tok/s Runs great69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.64.8 tok/s
Magistral Small 2507Mistral AI · 24B Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.12.2 tok/s Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.24.5 tok/s Runs great69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.64.8 tok/s
Apriel 1.5 15B ThinkerServiceNow · 15B Runs well68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.19.4 tok/s Runs great68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.38.8 tok/s Runs great72Great quality (A) · 72 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.75.4 tok/s
Terminal RSI 27BTeriminal-RSI · 28B Runs well64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.10.4 tok/s Runs well64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.20.8 tok/s Runs great67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.54.9 tok/s
Granite 4.2 30BIBM · 29B Runs well63Good quality (B) · 63 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.12.7 tok/s Runs well72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.19.7 tok/s Runs great73Great quality (A) · 73 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.62.1 tok/s
Nemotron Labs Dory 1.0 4BNVIDIA · 4.0B Runs great67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.50.3 tok/s Runs great68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.73.8 tok/s Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.130 tok/s
Mistral Small 3.2 24BMistral AI · 24B Runs well64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.12.0 tok/s Runs well64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.24.0 tok/s Runs great67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.63.6 tok/s
Magistral Small 2506Mistral AI · 24B Runs well64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.12.2 tok/s Runs well64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.24.5 tok/s Runs great67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.64.8 tok/s
Phi-4 Reasoning Vision 15BMicrosoft · 15B Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.19.1 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.38.2 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.74.1 tok/s
Hemmingway 1.5Hemmingway · 27B Runs well63Good quality (B) · 63 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.10.7 tok/s Runs well63Good quality (B) · 63 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.21.5 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.56.7 tok/s
Granite 4.2 8BIBM · 8.8B Runs great64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.32.8 tok/s Runs great67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.45.6 tok/s Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.58.7 tok/s
Spark-X2.6 4BSparkLLM · 4.1B Runs great65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.48.7 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.71.5 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.126 tok/s
Moonlight 16B-A3B InstructMoonshot AI · 16B (3.0B active) Runs great46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.41.3 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.154 tok/s
Mistral Small 3.1 24BMistral AI · 24B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.12.0 tok/s Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.24.0 tok/s Runs great65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.63.6 tok/s
GLM-4 32B 0414Zhipu AI · 33B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.11.5 tok/s Runs well70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.17.7 tok/s Runs great71Great quality (A) · 71 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.55.8 tok/s
Gemma 4 E2BGoogle · 5.1B Runs great62Good quality (B) · 62 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.63.9 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.58.9 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.224 tok/s
Qwen3 14BAlibaba · 15B Runs well64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.19.5 tok/s Runs great64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.39.0 tok/s Runs great68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.75.7 tok/s
Granite 4.1 30BIBM · 29B Runs well60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.12.9 tok/s Runs well68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.20.0 tok/s Runs great69Good quality (B) · 69 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.62.9 tok/s
Qwen2.5 32B InstructAlibaba · 33B Runs well58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.11.4 tok/s Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.17.6 tok/s Runs welltight fit69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.46.5 tok/s
Baichuan M2 32BBaichuan · 33B Runs well58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.11.4 tok/s Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.17.6 tok/s Runs welltight fit69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.46.6 tok/s
Gemma 2 27B ITGoogle · 27B Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.10.6 tok/s Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.21.2 tok/s Runs great61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.56.1 tok/s
Olmo 3.1 32B InstructAi2 · 32B Runs well60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.11.6 tok/s Runs well68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.17.9 tok/s Runs great69Good quality (B) · 69 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.56.4 tok/s
EXAONE 4.0 32BLG AI Research · 32B Runs well60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.11.7 tok/s Runs well68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.18.0 tok/s Runs great69Good quality (B) · 69 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.56.8 tok/s
Mistral Small 3 24B (2501)Mistral AI · 24B Runs well60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.12.2 tok/s Runs well60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.24.5 tok/s Runs great63Good quality (B) · 63 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.64.8 tok/s
Qwen2.5-VL 32B InstructAlibaba · 33B Runs well57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.11.2 tok/s Runs well64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.17.3 tok/s Runs welltight fit67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.45.6 tok/s
Hermes 4 14BNous Research · 15B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.19.5 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.39.1 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.75.8 tok/s
MiMo V2.6 Distill Qwen 9BXiaomi · 9.4B Runs great74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.30.7 tok/s Runs great77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.42.6 tok/s Runs great78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.54.8 tok/s
Qwen3.5 4BAlibaba · 4.7B Runs great61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.43.0 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.63.0 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.111 tok/s
Voxtral Small 24BMistral AI · 24B Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.11.9 tok/s Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.23.8 tok/s Runs great61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.62.9 tok/s
Dolphin Mistral 24B Venice EditionCognitive Computations · 24B Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.12.0 tok/s Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.24.0 tok/s Runs great61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.63.6 tok/s
Nous Hermes 2 Mixtral 8x7B DPONous Research · 47B (12.9B active) Runs welltight fit49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.20.8 tok/s Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.38.9 tok/s Runs welltight fit49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.108 tok/s
Phi-4 (14B)Microsoft · 15B Runs well60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.19.6 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.39.3 tok/s Runs great64Good quality (B) · 64 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.76.2 tok/s
InternVL3 14BShanghai AI Lab · 15B Runs well60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.19.1 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.38.2 tok/s Runs great64Good quality (B) · 64 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.74.1 tok/s
TMax 4BAi2 · 4.2B Runs great60Good quality (B) · 60 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.47.6 tok/s Runs great61Good quality (B) · 61 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.69.8 tok/s Runs great61Good quality (B) · 61 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.123 tok/s
Ministral 3 14BMistral AI · 14B Runs well60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.20.7 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.41.4 tok/s Runs great64Good quality (B) · 64 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.80.3 tok/s
InternVL3.5 8BShanghai AI Lab · 8.5B Runs great58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.33.8 tok/s Runs great61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.46.9 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.60.5 tok/s
Jamba 1.5 MiniAI21 Labs · 52B (12.0B active) Runs welltight fit47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.22.2 tok/s Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.41.4 tok/s Runs welltight fit42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.134 tok/s
Qwen3-VL 8B InstructAlibaba · 8.8B Runs great58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.32.9 tok/s Runs great61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.45.7 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.58.8 tok/s
Agents-A1 4BInternScience · 4.5B Runs great59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.44.1 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.64.7 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.114 tok/s
Magistral Small 1.2 (24B)Mistral AI · 24B Runs well68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.12.0 tok/s Runs well68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.24.0 tok/s Runs great71Great quality (A) · 71 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.63.6 tok/s
DeepSeek Coder V2 Lite (16B)DeepSeek · 16B (2.4B active) Runs great52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.49.6 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.45.3 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.168 tok/s
LFM2.5 8B-A1BLiquid AI · 8.5B (1.5B active) Runs great52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.64.7 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.137 tok/s
QwQ 32BAlibaba · 33B Runs well65Good quality (B) · 65 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.11.4 tok/s Runs well74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.17.6 tok/s Runs welltight fit77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.46.6 tok/s
Dolphin 3.0 R1 Mistral 24BCognitive Computations · 24B Runs well57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.12.2 tok/s Runs well57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.24.5 tok/s Runs great59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.64.8 tok/s
Mixtral 8x7B InstructMistral AI · 47B (12.9B active) Runs welltight fit47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.20.8 tok/s Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.38.9 tok/s Runs welltight fit47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.108 tok/s
MiniCPM5 2BOpenBMB · 2.5B Runs great60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.58.3 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.53.7 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.205 tok/s
DeepSeek V2 Lite ChatDeepSeek · 16B (2.4B active) Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.49.6 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.45.3 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.168 tok/s
Qwen2.5 14B InstructAlibaba · 15B Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.19.6 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.39.3 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.76.2 tok/s
Granite 4.0 H Tiny (7B-A1B)IBM · 6.9B (1.0B active) Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.52.2 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.85.0 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.158 tok/s
Solar Pro Preview 22BUpstage · 22B Runs well57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.13.0 tok/s Runs well57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.26.1 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.50.6 tok/s
Qwen3 8BAlibaba · 8.2B Runs great57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.35.2 tok/s Runs great59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.48.9 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.63.0 tok/s
Granite 4.1 8BIBM · 8.8B Runs great57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.32.8 tok/s Runs great59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.45.6 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.58.7 tok/s
InternVL3.5 38BShanghai AI Lab · 38B Runs well53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.12.3 tok/s Runs well72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.15.0 tok/s Runs welltight fit73Great quality (A) · 73 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.47.3 tok/s
MiniCPM-V 4.5 8BOpenBMB · 8.7B Runs great57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.33.2 tok/s Runs great59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.46.0 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.59.3 tok/s
Falcon-H1 34B InstructTII · 34B Runs well53Fair quality (C) · 53 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.11.1 tok/s Runs well60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.17.2 tok/s Runs welltight fit63Good quality (B) · 63 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.45.4 tok/s
OpenReasoning Nemotron 32BNVIDIA · 33B Runs well63Good quality (B) · 63 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.11.4 tok/s Runs well72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.17.6 tok/s Runs welltight fit75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.46.6 tok/s
Skywork OR1 32BSkywork · 33B Runs well63Good quality (B) · 63 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.11.4 tok/s Runs well72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.17.6 tok/s Runs welltight fit75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.46.6 tok/s
Fara 1.5 4BMicrosoft · 4.5B Runs great57Good quality (B) · 57 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.44.1 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.64.7 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.114 tok/s
Mage-VL 4.7BMicrosoft · 4.7B Runs great55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.42.2 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.62.0 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.109 tok/s
Phi-4 Reasoning Plus (14B)Microsoft · 15B Runs well68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.19.7 tok/s Runs great68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.39.4 tok/s Runs great72Great quality (A) · 72 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.76.4 tok/s
Qwen2.5 14B Instruct 1MAlibaba · 15B Runs well57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.19.5 tok/s Runs great57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.39.1 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.75.8 tok/s
MiMo-VL 7B RLXiaomi · 8.3B Runs great55Good quality (B) · 55 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.34.7 tok/s Runs great57Good quality (B) · 57 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.48.2 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.62.1 tok/s
Nemotron Nano 9B v2NVIDIA · 8.9B Runs great57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.32.5 tok/s Runs great59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.45.0 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.58.1 tok/s
Command R (08-2024) 32BCohere · 32B Runs well52Fair quality (C) · 52 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.11.5 tok/s Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.17.9 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.56.3 tok/s
EXAONE Deep 32BLG AI Research · 32B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.11.7 tok/s Runs well70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.18.0 tok/s Runs great71Great quality (A) · 71 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.56.8 tok/s
GLM-4.1V 9B ThinkingZhipu AI · 10B Runs well57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.28.0 tok/s Runs great59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.38.9 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.50.2 tok/s
Qwen2 57B-A14B InstructAlibaba · 57B (14.0B active) Runs welltight fit42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.24.5 tok/s Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.36.2 tok/s Runs welltight fit42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.122 tok/s
Olmo 3.1 32B ThinkAi2 · 32B Runs well63Good quality (B) · 63 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.11.6 tok/s Runs well72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.17.9 tok/s Runs great73Great quality (A) · 73 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.56.4 tok/s
Gemma 3 12B ITGoogle · 12B Runs well57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.23.7 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.39.1 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.91.8 tok/s
Phi-4 Reasoning (14B)Microsoft · 15B Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.19.7 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.39.4 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.76.4 tok/s
MiMo 7B RLXiaomi · 7.8B Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.36.9 tok/s Runs great55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.51.1 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.65.9 tok/s
Qwen3-VL 4B InstructAlibaba · 4.4B Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.45.1 tok/s Runs great54Fair quality (C) · 54 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.66.2 tok/s Runs great54Fair quality (C) · 54 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.116 tok/s
SenseNova 6.8 Code2VideoSenseTime · 27B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.10.5 tok/s Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.21.1 tok/s Runs great65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.55.8 tok/s
Qwen3 4B Instruct 2507Alibaba · 4.0B Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.49.8 tok/s Runs great54Fair quality (C) · 54 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.73.1 tok/s Runs great54Fair quality (C) · 54 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.128 tok/s
UI-Mate 9BTencent · 9.4B Runs great66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.30.7 tok/s Runs great69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.42.6 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.54.8 tok/s
UI-Venus 2 9BAnt Group (inclusionAI) · 9.4B Runs great66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.30.7 tok/s Runs great69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.42.6 tok/s Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.54.8 tok/s
Aya Vision 32BCohere · 33B Runs well50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.11.3 tok/s Runs well57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.17.4 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.54.8 tok/s
DeepSeek R1 Distill Qwen 32BDeepSeek · 33B Runs well60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.11.4 tok/s Runs well68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.17.6 tok/s Runs welltight fit71Great quality (A) · 71 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.46.5 tok/s
Aya Expanse 32BCohere · 32B Runs well50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.11.5 tok/s Runs well57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.17.9 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.56.3 tok/s
Ministral 3 8BMistral AI · 8.9B Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.32.4 tok/s Runs great55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.44.9 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.57.9 tok/s
InternVL3 8BShanghai AI Lab · 7.9B Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.36.3 tok/s Runs great55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.50.4 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.65.0 tok/s
InternVL3 38BShanghai AI Lab · 38B Runs well49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.12.3 tok/s Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.15.0 tok/s Runs welltight fit67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.47.3 tok/s
Devstral Small 2505Mistral AI · 24B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.12.2 tok/s Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.24.5 tok/s Runs great65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.64.8 tok/s
OLMo 2 32B InstructAi2 · 32B Runs well50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.11.6 tok/s Runs well57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.17.9 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.56.4 tok/s
GLM-Z1 32B (0414)Zhipu AI · 33B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.11.5 tok/s Runs well70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.17.7 tok/s Runs great71Great quality (A) · 71 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.55.8 tok/s
Mistral Small 22B (2409)Mistral AI · 22B Runs well51Fair quality (C) · 51 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.13.0 tok/s Runs well51Fair quality (C) · 51 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.25.9 tok/s Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.68.6 tok/s
LFM3 1.7BLiquid AI · 1.7B Runs great56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.84.9 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.78.3 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.298 tok/s
Granite 4.2 3BIBM · 3.7B Runs great52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.40.1 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.80.3 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.141 tok/s
Hermes 4 70BNous Research · 71B Slowtight fit51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.6.7 tok/s Runs welltight fit62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.10.6 tok/s Runs welloffloads to RAM51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.25.4 tok/s
Llama 3.3 70B InstructMeta · 71B Slowtight fit51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.6.7 tok/s Runs welltight fit62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.10.6 tok/s Runs welloffloads to RAM51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.25.2 tok/s
Llama 3.1 Nemotron Nano 8B v1NVIDIA · 8.0B Runs great51Fair quality (C) · 51 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great54Fair quality (C) · 54 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
OpenHands LM 32BAll Hands AI · 33B Runs well58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.11.4 tok/s Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.17.6 tok/s Runs welltight fit69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.46.6 tok/s
Reka Flash 3.1 (21B)Reka AI · 21B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.13.8 tok/s Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.27.6 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.53.6 tok/s
Qwen2.5 72B InstructAlibaba · 73B Slowtight fit51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.6.5 tok/s Runs welltight fit61Good quality (B) · 61 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.10.3 tok/s Runs welloffloads to RAM51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.18.1 tok/s
Qwen2.5-VL 72B InstructAlibaba · 73B Slowtight fit51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.6.5 tok/s Runs welltight fit61Good quality (B) · 61 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.10.2 tok/s Runs welloffloads to RAM51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.16.5 tok/s
DeepSeek R1 Distill Llama 70BDeepSeek · 71B Slowtight fit50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.6.7 tok/s Runs welltight fit60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.10.6 tok/s Runs welloffloads to RAM50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.25.4 tok/s
Tülu 3 70BAi2 · 71B Slowtight fit50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.6.7 tok/s Runs welltight fit60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.10.6 tok/s Runs welloffloads to RAM50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.25.4 tok/s
Hunyuan 7B InstructTencent · 7.5B Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.38.5 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.39.2 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.68.8 tok/s
Apriel Nemotron 15B ThinkerServiceNow · 15B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.19.3 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.38.6 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.74.8 tok/s
MiniCPM4 8BOpenBMB · 8.2B Runs great51Fair quality (C) · 51 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.35.2 tok/s Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.48.9 tok/s Runs great54Fair quality (C) · 54 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.63.0 tok/s
AceReason Nemotron 14BNVIDIA · 15B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.19.5 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.39.1 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.75.8 tok/s
OpenReasoning Nemotron 14BNVIDIA · 15B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.19.5 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.39.1 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.75.8 tok/s
Qwen2.5 Coder 14B InstructAlibaba · 15B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.19.5 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.39.1 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.75.8 tok/s
Ministral 3 14B ReasoningMistral AI · 14B Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.20.7 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.41.4 tok/s Runs great66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.80.3 tok/s
Qwen3 4BAlibaba · 4.0B Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.49.8 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.73.1 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.128 tok/s
Qwen2.5 7B InstructAlibaba · 7.6B Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.37.9 tok/s Runs great51Fair quality (C) · 51 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.52.6 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.67.7 tok/s
Olmo 3 7B InstructAi2 · 7.3B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.39.5 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.40.2 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.70.7 tok/s
Qwen2.5 Coder 32B InstructAlibaba · 33B Runs well56Good quality (B) · 56 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.11.4 tok/s Runs well63Good quality (B) · 63 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.17.6 tok/s Runs welltight fit66Good quality (B) · 66 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.46.5 tok/s
Mage-VL-Cowork 4.7BMicrosoft · 4.7B Runs great59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.42.2 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.62.0 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.109 tok/s
Llama 3.1 70B InstructMeta · 71B Slowtight fit49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.6.7 tok/s Runs welltight fit58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.10.6 tok/s Runs welloffloads to RAM49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.25.2 tok/s
Codestral 22BMistral AI · 22B Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.13.0 tok/s Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.25.9 tok/s Runs great61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.68.6 tok/s
Command R 35B (v01)Cohere · 35B Runs welltight fit45Fair quality (C) · 45 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.10.7 tok/s Runs well51Fair quality (C) · 51 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.16.5 tok/s Runs welltight fit45Fair quality (C) · 45 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.81.3 tok/s
Qwen3-Next 80B-A3B ThinkingAlibaba · 81B (3.0B active) Runs wellover GPU memory limit60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.89.9 tok/s Runs welltight fit72Great quality (A) · 72 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.138 tok/s Runs welloffloads to RAM72Great quality (A) · 72 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.88.4 tok/s
Qwen2.5-VL 7B InstructAlibaba · 8.3B Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.34.8 tok/s Runs great51Fair quality (C) · 51 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.48.3 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.62.3 tok/s
Gemma 3n E4BGoogle · 7.9B Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.50.1 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.73.5 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.129 tok/s
Falcon 3 10B InstructTII · 10B Runs well49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.28.0 tok/s Runs great51Fair quality (C) · 51 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.38.8 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.50.1 tok/s
DeepCoder 14B PreviewAgentica · 15B Runs well60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.19.5 tok/s Runs great60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.39.1 tok/s Runs great64Good quality (B) · 64 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.75.8 tok/s
QwQ 32B PreviewAlibaba · 33B Runs well55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.11.4 tok/s Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.17.6 tok/s Runs welltight fit65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.46.6 tok/s
MiniCPM-o 2.6 8BOpenBMB · 8.7B Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.33.3 tok/s Runs great51Fair quality (C) · 51 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.46.2 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.59.5 tok/s
DeepSeek R1 0528 Qwen3 8BDeepSeek · 8.2B Runs great58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.35.2 tok/s Runs great61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.48.9 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.63.0 tok/s
Nemotron 3 Nano 4BNVIDIA · 4.0B Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.50.4 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.74.0 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.130 tok/s
Foundation-Sec 1.1 8B InstructCisco Foundation AI · 8.0B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
InternVL2.5 8BShanghai AI Lab · 8.1B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.35.7 tok/s Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.49.6 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.63.9 tok/s
Mistral Nemo 12B InstructMistral AI · 12B Runs well49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.23.7 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.39.1 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.91.8 tok/s
Hermes 3 (Llama 3.1 70B)Nous Research · 71B Slowtight fit47Fair quality (C) · 47 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.6.7 tok/s Runs welltight fit57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.10.6 tok/s Runs welloffloads to RAM47Fair quality (C) · 47 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.25.4 tok/s
Gemma 2 9B ITGoogle · 9.2B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.31.2 tok/s Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.43.3 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.55.9 tok/s
GLM-4 9B 0414Zhipu AI · 9.4B Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.30.7 tok/s Runs great51Fair quality (C) · 51 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.42.6 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.54.9 tok/s
Qwen2.5 7B Instruct 1MAlibaba · 7.6B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.37.9 tok/s Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.52.6 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.67.7 tok/s
Qwen3 Next 80B-A3B InstructAlibaba · 81B (3.0B active) Runs wellover GPU memory limit58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.89.9 tok/s Runs welltight fit70Great quality (A) · 70 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.138 tok/s Runs welloffloads to RAM70Great quality (A) · 70 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.88.4 tok/s
NorthCUA Nanobeipo-ai · 9.4B Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.30.7 tok/s Runs great51Fair quality (C) · 51 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.42.6 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.54.8 tok/s
QVQ 72B PreviewAlibaba · 73B Slowtight fit47Fair quality (C) · 47 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.6.5 tok/s Runs welltight fit57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.10.2 tok/s Runs welloffloads to RAM47Fair quality (C) · 47 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.16.5 tok/s
InternLM2.5 20B ChatShanghai AI Lab · 20B Runs well47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.14.5 tok/s Runs well47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.29.1 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.56.4 tok/s
Falcon-H1 7B InstructTII · 7.6B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.38.0 tok/s Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.52.8 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.68.0 tok/s
GLiDE 9BFastino · 7.9B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.36.3 tok/s Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.50.4 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.65.0 tok/s
LFM3-VL 2BLiquid AI · 1.9B Runs great50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.76.5 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.70.5 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.269 tok/s
DeepSeek R1 Distill Qwen 14BDeepSeek · 15B Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.19.5 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.39.1 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.75.8 tok/s
Llama 3.1 Nemotron 70B InstructNVIDIA · 71B Slowtight fit46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.6.7 tok/s Runs welltight fit55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.10.6 tok/s Runs welloffloads to RAM46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.25.4 tok/s
InternLM3 8B InstructShanghai AI Lab · 8.8B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.32.8 tok/s Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.45.5 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.58.6 tok/s
Apertus v1.5 70BSwiss AI · 72B Slowtight fit46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.6.6 tok/s Runs welltight fit55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.10.4 tok/s Runs welloffloads to RAM46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.19.9 tok/s
JanusCoder 14BShanghai AI Lab · 15B Runs well58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.19.5 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.39.1 tok/s Runs great62Good quality (B) · 62 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.75.8 tok/s
Hermes 3 (Llama 3.1 8B)Nous Research · 8.0B Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great48Fair quality (C) · 48 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Llama 3.1 8B InstructMeta · 8.0B Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great48Fair quality (C) · 48 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Pixtral 12B (2409)Mistral AI · 12B Runs well47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.23.3 tok/s Runs great48Fair quality (C) · 48 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.38.5 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.90.3 tok/s
Granite 4.1 3BIBM · 3.4B Runs great46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.43.2 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.86.4 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.152 tok/s
DeepSeek MoE 16B ChatDeepSeek · 16B (2.8B active) Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.43.7 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.75.0 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.159 tok/s
Aya 23 35BCohere · 35B Runs welltight fit42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.10.7 tok/s Runs well47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.16.5 tok/s Runs welltight fit42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.81.3 tok/s
LLM4Decompile 22B V2LLM4Binary · 22B Runs well55Good quality (B) · 55 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.13.0 tok/s Runs well55Good quality (B) · 55 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.25.9 tok/s Runs great57Good quality (B) · 57 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.68.6 tok/s
Yi 1.5 34B Chat01.AI · 34B Runs well42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.10.8 tok/s Runs well47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.16.8 tok/s Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.64.0 tok/s
MiniCPM-V 2.6 8BOpenBMB · 8.1B Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.35.6 tok/s Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.49.4 tok/s Runs great48Fair quality (C) · 48 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.63.7 tok/s
Kimi Dev 72BMoonshot AI · 73B Slowtight fit56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.6.5 tok/s Runs welltight fit67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.10.3 tok/s Runs welloffloads to RAM56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.18.1 tok/s
Qwen2 72B InstructAlibaba · 73B Slowtight fit44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.6.5 tok/s Runs welltight fit53Fair quality (C) · 53 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.10.3 tok/s Runs welloffloads to RAM44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.18.1 tok/s
Qwen2-VL 72B InstructAlibaba · 73B Slowtight fit44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.6.5 tok/s Runs welltight fit53Fair quality (C) · 53 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.10.2 tok/s Runs welloffloads to RAM44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.16.5 tok/s
Falcon 3 7B InstructTII · 7.5B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.38.7 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.39.4 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.69.2 tok/s
Qwen3 4B Thinking 2507Alibaba · 4.0B Runs great55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.49.8 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.73.1 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.128 tok/s
LFM2 8B-A1BLiquid AI · 8.3B (1.5B active) Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.71.4 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.64.7 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.137 tok/s
EXAONE 3.5 7.8BLG AI Research · 7.8B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.36.9 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.51.2 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.66.0 tok/s
Granite 3.2 8B InstructIBM · 8.2B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.35.3 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.49.0 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.63.2 tok/s
Granite 3.3 8BIBM · 8.2B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.35.3 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.49.0 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.63.2 tok/s
Ministral 8B (2410)Mistral AI · 8.0B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.36.0 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.64.4 tok/s
GLM-4 9B Chat 1MZhipu AI · 9.5B Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.30.4 tok/s Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.42.2 tok/s Runs great48Fair quality (C) · 48 of 100: how capable the model is at F16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.54.4 tok/s
Seed-Coder 8B ReasoningByteDance · 8.3B Runs great55Good quality (B) · 55 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.35.0 tok/s Runs great57Good quality (B) · 57 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.48.5 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.62.6 tok/s
DeepHermes 3 Llama 3 8B PreviewNous Research · 8.0B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Dolphin 3.0 Llama 3.1 8BCognitive Computations · 8.0B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Tülu 3 8BAi2 · 8.0B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Llama 3.1 Nemotron Nano 4B v1.1NVIDIA · 4.5B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.44.4 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.65.1 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.114 tok/s
GLM-4 9B Chat (2024)Zhipu AI · 9.4B Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.30.7 tok/s Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.42.6 tok/s Runs great48Fair quality (C) · 48 of 100: how capable the model is at F16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.54.9 tok/s
Gemma 3 4B ITGoogle · 4.3B Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.46.6 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.68.3 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at F16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.120 tok/s
Phi-4 Multimodal InstructMicrosoft · 5.6B Runs great42Fair quality (C) · 42 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.42.8 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.52.7 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.92.7 tok/s
Apertus v1.5 8BSwiss AI · 8.9B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.32.4 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.45.0 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.58.0 tok/s
Phi-4 Mini (3.8B)Microsoft · 3.8B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.52.1 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.76.5 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.134 tok/s
Phi-3 Small 8K InstructMicrosoft · 7.4B Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.39.0 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.39.8 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.69.8 tok/s
OLMo 2 13B InstructAi2 · 14B Runs well41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.21.0 tok/s Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.42.1 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.81.6 tok/s
Ministral 3 3BMistral AI · 3.9B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.52.0 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.76.3 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.134 tok/s
EXAONE Deep 7.8BLG AI Research · 7.8B Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.36.9 tok/s Runs great55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.51.2 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.66.0 tok/s
North Micro VisionCohere · 2.5B Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.59.2 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.54.6 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.208 tok/s
MedGemma 4B ITGoogle · 4.3B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.46.6 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.68.3 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.120 tok/s
LFM2.5-VL 3BLiquid AI · 3.1B Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.47.1 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.43.4 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.165 tok/s
Phi-3 Medium 128K InstructMicrosoft · 14B Runs well43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.20.7 tok/s Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.41.3 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.80.2 tok/s
Jamba Reasoning 3BAI21 Labs · 3.2B Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.45.9 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.42.3 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.161 tok/s
Granite 3.1 8B InstructIBM · 8.2B Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.35.3 tok/s Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.49.0 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.63.2 tok/s
Phi-3.5 Mini InstructMicrosoft · 3.8B Runs great39Basic quality (D) · 39 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.52.4 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.76.9 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.135 tok/s
Seed-Coder 8B InstructByteDance · 8.3B Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.35.0 tok/s Runs great55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.48.5 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.62.6 tok/s
Dolphin 2.9.4 Llama 3.1 8BCognitive Computations · 8.0B Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Hermes 2 Pro Llama 3 8BNous Research · 8.0B Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
OpenChat 3.6 8BOpenChat · 8.0B Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
InternVL2 8BShanghai AI Lab · 8.1B Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.35.7 tok/s Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.49.6 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.63.9 tok/s
GLM-Z1 9B (0414)Zhipu AI · 9.4B Runs great55Good quality (B) · 55 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.30.7 tok/s Runs great57Good quality (B) · 57 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.42.6 tok/s Runs great58Good quality (B) · 58 of 100: how capable the model is at F16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.54.9 tok/s
Apertus 70B InstructSwiss AI · 71B Slowtight fit42Fair quality (C) · 42 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.6.7 tok/s Runs welltight fit50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.10.6 tok/s Runs welloffloads to RAM42Fair quality (C) · 42 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.25.2 tok/s
Olmo 3 7B ThinkAi2 · 7.3B Runs great51Fair quality (C) · 51 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.39.5 tok/s Runs great54Fair quality (C) · 54 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.40.2 tok/s Runs great54Fair quality (C) · 54 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.70.7 tok/s
Falcon-H1R 7BTII · 7.6B Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.38.0 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.38.7 tok/s Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.68.0 tok/s
LFM2.5 2.6BLiquid AI · 2.7B Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.54.4 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.50.2 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.191 tok/s
Hunyuan 4B InstructTencent · 4.2B Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.47.4 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.69.6 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.122 tok/s
Qwen2 7B InstructAlibaba · 7.6B Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.37.9 tok/s Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.52.6 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.67.7 tok/s
Qwen1.5 MoE A2.7B ChatAlibaba · 14B (2.7B active) Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.45.1 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.41.1 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.161 tok/s
Qwen2.5-Omni 7BAlibaba · 11B Runs well43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.26.9 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.44.4 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.48.1 tok/s
Phi-3 Medium (14B)Microsoft · 14B Runs well43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.20.7 tok/s Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.41.3 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.80.2 tok/s
Command R7BCohere · 8.0B Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Qwen2.5 Coder 7B InstructAlibaba · 7.6B Runs great52Fair quality (C) · 52 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.37.9 tok/s Runs great54Fair quality (C) · 54 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.52.6 tok/s Runs great55Good quality (B) · 55 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.67.7 tok/s
SmolLM3 3BHugging Face · 3.1B Runs great42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.47.7 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.44.0 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.168 tok/s
Qwen2-VL 7B InstructAlibaba · 8.3B Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.34.8 tok/s Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.48.3 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.62.3 tok/s
Qwen1.5 32B ChatAlibaba · 33B Runs well36Basic quality (D) · 36 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.11.5 tok/s Runs well41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.17.8 tok/s Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.67.7 tok/s
Llama 3 70B InstructMeta · 71B Slowtight fit40Fair quality (C) · 40 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.6.7 tok/s Runs welltight fit48Fair quality (C) · 48 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.10.6 tok/s Runs welloffloads to RAM40Fair quality (C) · 40 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.25.4 tok/s
Phi-3.5 Vision InstructMicrosoft · 4.2B Runs great37Basic quality (D) · 37 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.48.2 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.70.8 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.124 tok/s
Aya Vision 8BCohere · 8.6B Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.33.4 tok/s Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.46.4 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.59.8 tok/s
Llama 3 8B InstructMeta · 8.0B Runs great39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Mistral-NeMo-Minitron 8B InstructNVIDIA · 8.4B Runs great39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.34.3 tok/s Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.47.6 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.61.4 tok/s
Jamba2 3BAI21 Labs · 3.0B Runs great42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.48.5 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.44.7 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.170 tok/s
LLaVA 1.6 34BLLaVA · 35B Runs well36Basic quality (D) · 36 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.10.7 tok/s Runs well41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.16.6 tok/s Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.63.3 tok/s
OpenReasoning Nemotron 7BNVIDIA · 7.6B Runs great51Fair quality (C) · 51 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.37.9 tok/s Runs great53Fair quality (C) · 53 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.52.6 tok/s Runs great54Fair quality (C) · 54 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.67.7 tok/s
OLMoE 1B-7B InstructAi2 · 6.9B (1.3B active) Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.42.4 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.71.6 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.145 tok/s
InternLM2 Chat 20BShanghai AI Lab · 20B Runs well39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.14.5 tok/s Runs well39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.29.1 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.56.4 tok/s
CogVLM2 Llama 3 Chat 19BZhipu AI · 20B Runs well36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.14.8 tok/s Runs well36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.29.6 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.57.4 tok/s
Granite 4.0 Micro (3B)IBM · 3.4B Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.43.2 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.86.4 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.152 tok/s
AFM 4.5BArcee AI · 4.6B Runs great39Basic quality (D) · 39 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.43.3 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.63.6 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.112 tok/s
Command R7B ArabicCohere · 8.0B Runs great39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Qianfan-OCR 4BBaidu · 4.7B Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.42.2 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.62.0 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.109 tok/s
Llama 3.2 11B Vision InstructMeta · 11B Runs well39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.27.0 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.44.7 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.48.4 tok/s
InternLM2.5 7B ChatShanghai AI Lab · 7.7B Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.37.3 tok/s Runs great39Basic quality (D) · 39 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.51.7 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.66.7 tok/s
Foundation-Sec 8B ReasoningCisco Foundation AI · 8.0B Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great51Fair quality (C) · 51 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Aya Expanse 8BCohere · 8.0B Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great39Basic quality (D) · 39 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Apertus 8B InstructSwiss AI · 8.1B Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.35.8 tok/s Runs great39Basic quality (D) · 39 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.49.7 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.64.1 tok/s
Phi-3 Mini 128K InstructMicrosoft · 3.8B Runs great35Basic quality (D) · 35 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.52.4 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.76.9 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.135 tok/s
Qwen1.5 14B ChatAlibaba · 14B Runs well32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.20.4 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.40.7 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.79.0 tok/s
MiniCPM-V 4.7 1BOpenBMB · 1.6B Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.43.7 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.87.4 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.333 tok/s
Gemma 3n E2BGoogle · 5.4B Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.73.5 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.67.7 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.258 tok/s
Granite 3.0 8B InstructIBM · 8.2B Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.35.3 tok/s Runs great39Basic quality (D) · 39 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.49.0 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.63.2 tok/s
Mistral 7B Instruct v0.3Mistral AI · 7.3B Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.39.8 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.40.5 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.71.2 tok/s
Qwen3.5 2BAlibaba · 2.3B Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.64.7 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.59.7 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.227 tok/s
OLMo 2 7B InstructAi2 · 7.3B Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.39.5 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.40.2 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.70.7 tok/s
Zamba2 7B InstructZyphra · 7.4B Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.39.2 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.70.1 tok/s
DeepSeek R1 Distill Llama 8BDeepSeek · 8.0B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
Unlimited OCR 2 (3B-A0.6B)Baidu · 3.3B (0.6B active) Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.75.5 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.114 tok/s Runs great44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.181 tok/s
Phi-3 Vision 128K InstructMicrosoft · 4.2B Runs great33Basic quality (D) · 33 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.48.2 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.70.8 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.124 tok/s
Yi 34B Chat01.AI · 34B Runs well33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.10.8 tok/s Runs well38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.16.8 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.64.0 tok/s
TMax 2BAi2 · 1.9B Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.78.1 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.72.0 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.275 tok/s
Granite 4.0 H MicroIBM · 3.2B Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.46.1 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.42.4 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.162 tok/s
Dolphin 2.9 Llama 3 8BCognitive Computations · 8.0B Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great37Basic quality (D) · 37 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
MiniCPM3 4BOpenBMB · 4.1B Runs great37Basic quality (D) · 37 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.49.2 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.72.2 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.127 tok/s
Voxtral Mini 3BMistral AI · 4.7B Runs great35Basic quality (D) · 35 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.42.8 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.62.8 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.110 tok/s
Nous Hermes 2 SOLAR 10.7BNous Research · 11B Runs well38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.26.9 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.44.4 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.48.1 tok/s
SOLAR 10.7B InstructUpstage · 11B Runs well38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.26.9 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.44.4 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.48.1 tok/s
S5 nanoMaritaca AI · 4.7B Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.43.0 tok/s Runs great37Basic quality (D) · 37 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.63.0 tok/s Runs great37Basic quality (D) · 37 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.111 tok/s
Phi-3 Mini 4K InstructMicrosoft · 3.8B Runs great35Basic quality (D) · 35 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.52.4 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.76.9 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.135 tok/s
EXAONE 3.0 7.8B InstructLG AI Research · 7.8B Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.36.9 tok/s Runs great37Basic quality (D) · 37 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.51.2 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.66.0 tok/s
Falcon3 Mamba 7B InstructTII · 7.3B Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.39.7 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.40.4 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.71.0 tok/s
LightOnOCR-3 4BLightOn · 4.5B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.44.1 tok/s Runs great48Fair quality (C) · 48 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.64.7 tok/s Runs great48Fair quality (C) · 48 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.114 tok/s
Chandra OCR 2Datalab · 5.3B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.37.8 tok/s Runs great48Fair quality (C) · 48 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.55.4 tok/s Runs great48Fair quality (C) · 48 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.97.4 tok/s
Fara 7BMicrosoft · 8.3B Runs great47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.34.8 tok/s Runs great49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.48.3 tok/s Runs great50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.62.3 tok/s
Hermes 2 Pro Mistral 7BNous Research · 7.2B Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
Starling LM 7B BetaNexusflow · 7.2B Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
Hunyuan A13B (80B-A13B)Tencent · 80B (13.0B active) Runs wellover GPU memory limit51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.27.8 tok/s Runs welltight fit62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.48.4 tok/s Runs welloffloads to RAM62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.25.1 tok/s
Llama 3.2 3B InstructMeta · 3.2B Runs great35Basic quality (D) · 35 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.45.8 tok/s Runs great35Basic quality (D) · 35 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.42.2 tok/s Runs great35Basic quality (D) · 35 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.161 tok/s
Falcon-H1 3B InstructTII · 3.2B Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.46.6 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.43.0 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.164 tok/s
OpenChat 3.5 (0106)OpenChat · 7.2B Runs great33Basic quality (D) · 33 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great35Basic quality (D) · 35 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great35Basic quality (D) · 35 of 100: how capable the model is at F16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
WeVisOne-VL 4BTencent · 4.8B Runs great44Fair quality (C) · 44 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.41.5 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.60.8 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.107 tok/s
Raon 1 nanoKRAFTON · 3.5B Runs great35Basic quality (D) · 35 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.41.6 tok/s Runs great35Basic quality (D) · 35 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.83.2 tok/s Runs great35Basic quality (D) · 35 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.146 tok/s
Qwen3-VL 2B InstructAlibaba · 2.1B Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.69.0 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.63.6 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.242 tok/s
Phi-4 Mini Reasoning (3.8B)Microsoft · 3.8B Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.52.1 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.76.5 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.134 tok/s
Mistral 7B Instruct v0.2Mistral AI · 7.2B Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
Nous Hermes 2 Mistral 7B DPONous Research · 7.2B Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
OpenChat 3.5 (1210)OpenChat · 7.2B Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
MiniCPM5 1BOpenBMB · 1.1B Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.62.7 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.125 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.478 tok/s
Yi 1.5 9B Chat01.AI · 8.8B Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.32.7 tok/s Runs great35Basic quality (D) · 35 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.45.4 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.58.4 tok/s
Unlimited OCR (3B-A0.6B)Baidu · 3.3B (0.6B active) Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.75.5 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.114 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.181 tok/s
Qwen2.5 3B InstructAlibaba · 3.1B Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.47.5 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.43.8 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.167 tok/s
Aya 23 8BCohere · 8.0B Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.35.9 tok/s Runs great33Basic quality (D) · 33 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.49.9 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.64.3 tok/s
DeepSeek R1 Distill Qwen 7BDeepSeek · 7.6B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.37.9 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.52.6 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.67.7 tok/s
DeepSeek Prover V2 7BDeepSeek · 6.9B Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.41.8 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.42.5 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.74.7 tok/s
Qwen2.5-VL 3B InstructAlibaba · 3.8B Runs great33Basic quality (D) · 33 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.53.4 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.78.3 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.138 tok/s
Hermes 3 Llama 3.2 3BNous Research · 3.2B Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.45.8 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.42.2 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.161 tok/s
OpenHermes 2.5 Mistral 7BTeknium · 7.2B Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
Starling LM 7B AlphaBerkeley · 7.2B Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
LFM2 2.6BLiquid AI · 2.6B Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.57.2 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.52.7 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.201 tok/s
CodeGeeX4 All 9BZhipu AI · 9.4B Runs great43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.30.7 tok/s Runs great45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.42.6 tok/s Runs great46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.54.9 tok/s
Gemma 1.1 7B ITGoogle · 8.5B Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.33.8 tok/s Runs great27Basic quality (D) · 27 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.46.9 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.60.4 tok/s
Qwen1.5 7B ChatAlibaba · 7.7B Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.37.4 tok/s Runs great25Basic quality (D) · 25 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.51.9 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.66.9 tok/s
DeepSeek Coder 33B InstructDeepSeek · 33B Runs well36Basic quality (D) · 36 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.11.2 tok/s Runs well41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.17.3 tok/s Runs great41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.66.0 tok/s
Mistral 7B Instruct v0.1Mistral AI · 7.2B Runs great28Basic quality (D) · 28 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
Falcon 3 3B InstructTII · 3.2B Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.45.5 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.41.9 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.160 tok/s
Qwen2.5-Math 72B InstructAlibaba · 73B Slowtight fit40Fair quality (C) · 40 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.6.5 tok/s Runs welltight fit48Fair quality (C) · 48 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.10.3 tok/s Runs welloffloads to RAM40Fair quality (C) · 40 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.31.9 tok/s
LFM2.5 1.2B InstructLiquid AI · 1.2B Runs great32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.57.9 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.116 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.441 tok/s
Qwen2.5-Omni 3BAlibaba · 5.5B Runs great29Basic quality (D) · 29 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.43.0 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.53.0 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.93.2 tok/s
RecurrentGemma 9B ITGoogle · 9.6B Runs great28Basic quality (D) · 28 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.38.7 tok/s Runs great33Basic quality (D) · 33 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.41.6 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.53.6 tok/s
DeepSeek LLM 67B ChatDeepSeek · 67B Slowtight fit28Basic quality (D) · 28 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.7.0 tok/s Runs well33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.11.1 tok/s Runs welltight fit28Basic quality (D) · 28 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.53.6 tok/s
Gemma 7B ITGoogle · 8.5B Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.33.8 tok/s Runs great25Basic quality (D) · 25 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.46.9 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.60.4 tok/s
Granite 3.2 2B InstructIBM · 2.5B Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.58.1 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.53.5 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.204 tok/s
Granite 3.3 2BIBM · 2.5B Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.58.1 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.53.5 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.204 tok/s
Falcon Mamba 7B InstructTII · 7.3B Runs great28Basic quality (D) · 28 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.39.7 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.40.4 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.71.0 tok/s
MiniCPM-OCR 1.0 1.3BOpenBMB · 1.3B Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.52.1 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.104 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.397 tok/s
EXAONE 3.5 2.4BLG AI Research · 2.4B Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.61.0 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.56.2 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.214 tok/s
Qwen3 1.7BAlibaba · 2.0B Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.72.4 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.66.7 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.254 tok/s
EXAONE 4.0 1.2BLG AI Research · 1.3B Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.52.9 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.106 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.403 tok/s
Neural Chat 7B v3.3Intel · 7.2B Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
TeleOCRXingChen-AGI · 1.4B Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.47.7 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.95.4 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.363 tok/s
LLaVA 1.6 Mistral 7BLLaVA · 7.6B Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.38.1 tok/s Runs great27Basic quality (D) · 27 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.52.9 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.68.2 tok/s
PaddleOCR-VL 1.6 0.9BBaidu · 1.0B Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.70.5 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.141 tok/s Runs great42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.538 tok/s
Yi 1.5 6B Chat01.AI · 6.1B Runs great27Basic quality (D) · 27 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.39.3 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.48.5 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.85.2 tok/s
InternLM2 Math Plus 20BShanghai AI Lab · 20B Runs well38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.14.5 tok/s Runs well38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.29.1 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.56.4 tok/s
DeepSeek Coder 6.7B InstructDeepSeek · 6.7B Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.42.8 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.43.6 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.76.6 tok/s
Granite 3.1 2B InstructIBM · 2.5B Runs great28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.58.1 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.53.5 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.204 tok/s
Gemma 2 2BGoogle · 2.6B Runs great28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.56.3 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.51.9 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.198 tok/s
Yi Coder 9B Chat01.AI · 8.8B Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.32.7 tok/s Runs great39Basic quality (D) · 39 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.45.4 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.58.4 tok/s
Zephyr 7B BetaHugging Face · 7.2B Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
Orca 2 13BMicrosoft · 13B Runs well23Basic quality (D) · 23 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.28.7 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.44.3 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.86.0 tok/s
Granite 4.0 H 1BIBM · 1.5B Runs great28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.46.4 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.92.7 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.353 tok/s
WeVisOne VL 2BTencent · 2.4B Runs great27Basic quality (D) · 27 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.60.2 tok/s Runs great27Basic quality (D) · 27 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.55.5 tok/s Runs great27Basic quality (D) · 27 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.212 tok/s
Llama 2 70B ChatMeta · 69B Slowtight fit25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.6.9 tok/s Runs well30Basic quality (D) · 30 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.10.8 tok/s Runs welltight fit25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.52.4 tok/s
Granite Vision 3.2 2BIBM · 3.0B Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.49.3 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.45.4 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.173 tok/s
CodeGemma 7BGoogle · 8.5B Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.33.8 tok/s Runs great33Basic quality (D) · 33 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.46.9 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.60.4 tok/s
LLM4Decompile 6.7B V2LLM4Binary · 6.7B Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.42.8 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.43.6 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.76.6 tok/s
Code Llama 34B InstructMeta · 34B Runs well31Basic quality (D) · 31 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.11.1 tok/s Runs well36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.17.1 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.65.2 tok/s
StarCoder2 15B InstructBigCode · 16B Runs well38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.18.1 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.36.2 tok/s Runs great40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.70.2 tok/s
Granite Code 34B InstructIBM · 34B Runs well33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.11.1 tok/s Runs well38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.17.1 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.53.9 tok/s
Falcon-H1 1.5B InstructTII · 1.6B Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.43.7 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.87.4 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.333 tok/s
LLM4Decompile 9B V2LLM4Binary · 8.8B Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.32.7 tok/s Runs great37Basic quality (D) · 37 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.45.4 tok/s Runs great38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.58.4 tok/s
Llama 2 13B ChatMeta · 13B Runs well21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.28.7 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.44.3 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.86.0 tok/s
Granite 3.0 2B InstructIBM · 2.6B Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.55.9 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.51.5 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.196 tok/s
Baichuan 2 13B ChatBaichuan · 14B Runs well21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.26.8 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.41.5 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.80.6 tok/s
Granite 3.1 3B-A800M InstructIBM · 3.3B (0.8B active) Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.61.8 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.97.2 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.169 tok/s
Qwen2.5 Coder 3B InstructAlibaba · 3.1B Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.47.5 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.43.8 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.167 tok/s
Orca 2 7BMicrosoft · 6.7B Runs great20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.42.8 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.43.6 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.76.6 tok/s
SmolVLM2 2.2B InstructHugging Face · 2.3B Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.65.3 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.60.2 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.229 tok/s
LFM2 1.2BLiquid AI · 1.2B Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.57.9 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.116 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.441 tok/s
SQLCoder 7B v2Defog · 6.7B Runs great28Basic quality (D) · 28 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.42.8 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.43.6 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.76.6 tok/s
Codestral Mamba 7BMistral AI · 7.3B Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.39.6 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.40.3 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.70.8 tok/s
Qwen2.5-Math 7B InstructAlibaba · 7.6B Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.37.9 tok/s Runs great35Basic quality (D) · 35 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.52.6 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.67.7 tok/s
StableLM 2 12B ChatStability AI · 12B Runs great23Basic quality (D) · 23 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.30.7 tok/s Runs great27Basic quality (D) · 27 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.39.3 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.92.2 tok/s
Mathstral 7BMistral AI · 7.3B Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.39.8 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.40.5 tok/s Runs great34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.71.2 tok/s
Qwen2.5 1.5B InstructAlibaba · 1.5B Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.44.0 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.87.9 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.335 tok/s
LFM2-VL 1.6BLiquid AI · 1.6B Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.42.9 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.85.7 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.327 tok/s
Qwen3.5 0.8BAlibaba · 0.9B Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.77.8 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.156 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.593 tok/s
Granite 3.0 3B-A800M InstructIBM · 3.4B (0.8B active) Runs great18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.61.8 tok/s Runs great18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.97.2 tok/s Runs great18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.169 tok/s
Baichuan 2 7B ChatBaichuan · 7.5B Runs great19Basic quality (D) · 19 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.38.4 tok/s Runs great19Basic quality (D) · 19 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.53.3 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.68.7 tok/s
Llama 2 7B ChatMeta · 6.7B Runs great19Basic quality (D) · 19 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.42.8 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.43.6 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.76.6 tok/s
SmolVLM 2.2B InstructHugging Face · 2.3B Runs great22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.65.3 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.60.2 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.229 tok/s
Qwen2-VL 2B InstructAlibaba · 2.2B Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.66.5 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.61.3 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.234 tok/s
Code Llama 13B InstructMeta · 13B Runs well25Basic quality (D) · 25 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.28.7 tok/s Runs great28Basic quality (D) · 28 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.44.3 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.86.0 tok/s
Granite Code 20B InstructIBM · 20B Runs well34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.14.4 tok/s Runs well34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.28.8 tok/s Runs great36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.55.8 tok/s
Nemotron Mini 4B InstructNVIDIA · 4.2B Runs great21Basic quality (D) · 21 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.47.8 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.70.1 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.123 tok/s
Zamba2 2.7B InstructZyphra · 2.7B Runs great22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.55.2 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.50.9 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.194 tok/s
InternLM2 Math Plus 7BShanghai AI Lab · 7.7B Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.37.3 tok/s Runs great31Basic quality (D) · 31 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.51.7 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.66.7 tok/s
Code Llama 70B InstructMeta · 69B Slowtight fit30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.6.9 tok/s Runs well36Basic quality (D) · 36 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.10.8 tok/s Runs welltight fit30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.52.4 tok/s
Granite Code 8B Instruct (128K)IBM · 8.1B Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.35.8 tok/s Runs great31Basic quality (D) · 31 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.49.7 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.64.1 tok/s
WizardLM 13B v1.2WizardLM · 13B Runs great15Basic quality (D) · 15 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.36.4 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.44.3 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.86.0 tok/s
DeepSeek LLM 7B ChatDeepSeek · 6.9B Runs great17Basic quality (D) · 17 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.41.8 tok/s Runs great18Basic quality (D) · 18 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.42.5 tok/s Runs great18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.74.7 tok/s
Llama 3.2 1B InstructMeta · 1.2B Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.54.6 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.109 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.416 tok/s
LLaVA 1.5 13BLLaVA · 13B Runs great15Basic quality (D) · 15 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.35.5 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.43.2 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.83.9 tok/s
Yi 6B Chat01.AI · 6.1B Runs great19Basic quality (D) · 19 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.39.3 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.48.5 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.85.2 tok/s
Hunyuan 1.8B InstructTencent · 1.8B Runs great22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.82.1 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.75.6 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.288 tok/s
InternVL3 78BShanghai AI Lab · 78B Slowover GPU memory limit51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.5.1 tok/s Runs well51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.12.1 tok/s Runs welloffloads to RAM51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.10.2 tok/s
SmolLM2 1.7B InstructHugging Face · 1.7B Runs great20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.85.9 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.79.2 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.302 tok/s
Vicuna 13B v1.5LMSYS · 13B Runs great14Basic quality (D) · 14 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.36.4 tok/s Runs great19Basic quality (D) · 19 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.44.3 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.86.0 tok/s
LLaVA 1.5 7BLLaVA · 7.1B Runs great15Basic quality (D) · 15 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.40.9 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.41.6 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.73.1 tok/s
Code Llama 7B InstructMeta · 6.7B Runs great22Basic quality (D) · 22 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.42.8 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.43.6 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.76.6 tok/s
StarCoder2 15B (base)BigCode · 16B Runs well30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.18.1 tok/s Runs great30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.36.2 tok/s Runs great32Basic quality (D) · 32 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.70.2 tok/s
Gemma 3 1BGoogle · 1.0B Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.67.7 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.135 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.516 tok/s
Vicuna 7B v1.5LMSYS · 6.7B Runs great13Basic quality (D) · 13 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.42.8 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.43.6 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.76.6 tok/s
StableLM Zephyr 3BStability AI · 2.8B Runs great16Basic quality (D) · 16 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.52.5 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.48.4 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.184 tok/s
InternLM2.5 1.8B ChatShanghai AI Lab · 1.9B Runs great18Basic quality (D) · 18 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.77.7 tok/s Runs great18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.71.6 tok/s Runs great18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.273 tok/s
Falcon 3 1B InstructTII · 1.7B Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.40.5 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.81.1 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.309 tok/s
WizardMath 7B v1.1WizardLM · 7.2B Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.39.9 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.40.6 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.71.3 tok/s
Phi-2 2.7BMicrosoft · 2.8B Runs great16Basic quality (D) · 16 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.52.8 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.48.7 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.186 tok/s
OLMo 7B InstructAi2 · 6.9B Runs great13Basic quality (D) · 13 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.41.9 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.42.6 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.74.9 tok/s
Qwen2 1.5B InstructAlibaba · 1.5B Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.44.0 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.87.9 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.335 tok/s
LFM2 700MLiquid AI · 0.7B Runs great18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.91.5 tok/s Runs great18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.183 tok/s Runs great18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.697 tok/s
GLiDE 2BFastino · 1.9B Runs great17Basic quality (D) · 17 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.78.1 tok/s Runs great17Basic quality (D) · 17 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.72.0 tok/s Runs great17Basic quality (D) · 17 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.275 tok/s
Falcon 40B InstructTII · 42B Runs well11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.11.3 tok/s Runs well11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.22.7 tok/s Runs great13Basic quality (D) · 13 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.68.0 tok/s
Qwen2.5 Coder 1.5B InstructAlibaba · 1.5B Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.44.0 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.87.9 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.335 tok/s
InternLM 7BShanghai AI Lab · 7.3B Runs great11Basic quality (D) · 11 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.39.4 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.40.1 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.70.5 tok/s
OLMo 2 1B InstructAi2 · 1.5B Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.45.7 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.91.5 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.349 tok/s
Spark X2.6 1.7BSparkLLM · 1.7B Runs great16Basic quality (D) · 16 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.85.9 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.79.2 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.302 tok/s
StarCoder2 7BBigCode · 7.2B Runs great22Basic quality (D) · 22 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.40.2 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.41.0 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.72.0 tok/s
Granite Code 3B Instruct (128K)IBM · 3.5B Runs great20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.42.2 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.84.4 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.148 tok/s
DeepScaleR 1.5B PreviewAgentica · 1.8B Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.82.5 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.76.1 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.290 tok/s
Qwen3 0.6BAlibaba · 0.8B Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.90.3 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.181 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.688 tok/s
SmolLM 1.7B InstructHugging Face · 1.7B Runs great14Basic quality (D) · 14 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.85.9 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.79.2 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.302 tok/s
Stable Code Instruct 3BStability AI · 2.8B Runs great20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.52.5 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.48.4 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.184 tok/s
Gemma 2B ITGoogle · 2.5B Runs great12Basic quality (D) · 12 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.58.5 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.53.9 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.206 tok/s
StableLM 2 1.6B ChatStability AI · 1.6B Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.41.3 tok/s Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.82.6 tok/s Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.315 tok/s
StableLM 2 Zephyr 1.6BStability AI · 1.6B Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.41.3 tok/s Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.82.6 tok/s Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.315 tok/s
Falcon-H1 0.5B InstructTII · 0.5B Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.130 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.260 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.992 tok/s
LFM2.5 350MLiquid AI · 0.4B Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.193 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.387 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.1,475 tok/s
StarCoder 15BBigCode · 16B Runs well21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.23.6 tok/s Runs great24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.36.5 tok/s Runs great26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.70.8 tok/s
DeepSeek R1 Distill Qwen 1.5BDeepSeek · 1.8B Runs great22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.82.5 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.76.1 tok/s Runs great22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.290 tok/s
Qwen2.5-Math 1.5B InstructAlibaba · 1.5B Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.44.0 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.87.9 tok/s Runs great20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.335 tok/s
LFM2-VL 450MLiquid AI · 0.5B Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.150 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.301 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.1,147 tok/s
GLiDE 0.8BFastino · 0.8B Runs great11Basic quality (D) · 11 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.90.3 tok/s Runs great11Basic quality (D) · 11 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.181 tok/s Runs great11Basic quality (D) · 11 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.688 tok/s
LFM2 350MLiquid AI · 0.4B Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.193 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.387 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.1,475 tok/s
Granite 4.0 H 350MIBM · 0.3B Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.199 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.398 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.1,518 tok/s
d1 2BLiquid AI · 1.9B Runs great21Basic quality (D) · 21 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.76.5 tok/s Runs great21Basic quality (D) · 21 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.70.5 tok/s Runs great21Basic quality (D) · 21 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.269 tok/s
Falcon 7B InstructTII · 7.2B Runs great5Basic quality (D) · 5 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.40.0 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.40.7 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.71.5 tok/s
SmolVLM 500M InstructHugging Face · 0.5B Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.133 tok/s Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.266 tok/s Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.1,012 tok/s
StarCoder2 3BBigCode · 3.0B Runs great18Basic quality (D) · 18 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.48.5 tok/s Runs great18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.44.7 tok/s Runs great18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.170 tok/s
Qwen2.5 0.5B InstructAlibaba · 0.5B Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.138 tok/s Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.276 tok/s Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.1,053 tok/s
Yi Coder 1.5B Chat01.AI · 1.5B Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.45.7 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.91.5 tok/s Runs great16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.349 tok/s
LFM2.5 230MLiquid AI · 0.2B Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.294 tok/s Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.589 tok/s Runs great10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.2,244 tok/s
Hunyuan 0.5B InstructTencent · 0.5B Runs great8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.125 tok/s Runs great8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.251 tok/s Runs great8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.956 tok/s
SmolLM2 360M InstructHugging Face · 0.4B Runs great8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.188 tok/s Runs great8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.376 tok/s Runs great8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.1,434 tok/s
TinyLlama 1.1B ChatTinyLlama · 1.1B Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.61.5 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.123 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.469 tok/s
Qwen2 0.5B InstructAlibaba · 0.5B Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.138 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.276 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.1,053 tok/s
ERNIE 4.5 0.3BBaidu · 0.4B Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.188 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.376 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.1,434 tok/s
DeepSeek Coder 1.3B InstructDeepSeek · 1.4B Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.50.2 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.100 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.382 tok/s
LLM4Decompile 1.3B V2LLM4Binary · 1.4B Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.50.2 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.100 tok/s Runs great12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.382 tok/s
SmolVLM 256M InstructHugging Face · 0.3B Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.260 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.521 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.1,985 tok/s
CodeGemma 2BGoogle · 2.5B Runs great14Basic quality (D) · 14 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.58.5 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.53.9 tok/s Runs great14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.206 tok/s
Gemma 3 270MGoogle · 0.3B Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.251 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.502 tok/s Runs great6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.1,911 tok/s
SmolLM 360M InstructHugging Face · 0.4B Runs great5Basic quality (D) · 5 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.188 tok/s Runs great5Basic quality (D) · 5 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.376 tok/s Runs great5Basic quality (D) · 5 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.1,434 tok/s
surya ocr 2.5Datalab · 0.7B Runs great15Basic quality (D) · 15 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.98.1 tok/s Runs great15Basic quality (D) · 15 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.196 tok/s Runs great15Basic quality (D) · 15 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.748 tok/s
Llama 3.2 90B Vision InstructMeta · 89B Slowfar over GPU memory limit46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.4.5 tok/s Runs welltight fit46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.10.7 tok/s Slowoffloads to RAM46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.5.4 tok/s
SmolLM2 135M InstructHugging Face · 0.1B Runs great4Basic quality (D) · 4 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.521 tok/s Runs great4Basic quality (D) · 4 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.1,042 tok/s Runs great4Basic quality (D) · 4 of 100: how capable the model is at F16, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking.3,970 tok/s
Falcon-H1 Tiny 90M InstructTII · 0.1B Runs great3Basic quality (D) · 3 of 100: how capable the model is at F16, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking.752 tok/s Runs great3Basic quality (D) · 3 of 100: how capable the model is at F16, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking.1,505 tok/s Runs great3Basic quality (D) · 3 of 100: how capable the model is at F16, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking.5,734 tok/s
SmolLM 135M InstructHugging Face · 0.1B Runs great2Basic quality (D) · 2 of 100: how capable the model is at F16, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking.521 tok/s Runs great2Basic quality (D) · 2 of 100: how capable the model is at F16, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking.1,042 tok/s Runs great2Basic quality (D) · 2 of 100: how capable the model is at F16, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking.3,970 tok/s
Qwen2.5 Coder 0.5B InstructAlibaba · 0.5B Runs great8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking.138 tok/s Runs great8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking.276 tok/s Runs great8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking.1,053 tok/s
gpt-oss 120BOpenAI · 117B (5.1B active) Won't run84Great quality (A) · 84 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.— Won't run84Great quality (A) · 84 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.— Won't run84Great quality (A) · 84 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.—
Kimi K3.1 Pro (2.8T)Moonshot AI · 2,780B (104.0B active) Won't run69Good quality (B) · 69 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run69Good quality (B) · 69 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run69Good quality (B) · 69 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek V4.1 Flash 1017 (552B-A16B)DeepSeek · 763B (16.0B active) Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
GLM-5.3 (753B-A40B)Zhipu AI · 753B (40.0B active) Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Qwen3.8 Max (2.4T-A95B)Alibaba · 2,446B (95.0B active) Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Kimi K3 (2.8T)Moonshot AI · 2,780B (104.0B active) Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
LongCat 2.5 (1.6T-A48B)Meituan · 1,780B (48.0B active) Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
MiMo V2.6 Pro (1T-A42B)Xiaomi · 1,024B (42.0B active) Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Ling 3.1 Flash 1019 (560B-A25B)Ant Group (inclusionAI) · 572B (25.0B active) Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
MiniMax M3.1 Flash (428B-A23B)MiniMax · 429B (23.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Nex N2.6 (321B-A18B)Nex-AGI · 321B (18.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Step 5 Preview (600B-A27B)StepFun · 604B (27.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
GLM-5.3 Flash (320B-A18B)Zhipu AI · 321B (18.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
MiMo V2.6 Flash (310B-A15B)Xiaomi · 311B (15.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek V4.1 Flash (552B-A16B)DeepSeek · 763B (16.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Mistral Large 4 (1T-A52B)Mistral AI · 1,053B (52.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Qwen3.8 Flash Next (125B-A6B)Alibaba · 180B (6.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
GLM-5.2 (753B-A40B)Zhipu AI · 753B (40.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Hunyuan Hy4 Preview (780B)Tencent · 780B (55.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Muse Spark Open (816B-A42B)Meta · 822B (42.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek V4 Pro (1.6T-A49B)DeepSeek · 1,651B (49.0B active) Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Kimi K2.6 (1T)Moonshot AI · 1,027B (32.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Ling 3.1 Flash (560B-A25B)Ant Group (inclusionAI) · 572B (25.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
MiMo V2.5 Pro (1T-A42B)Xiaomi · 1,023B (42.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
Intern-S2 (397B-A17B)Shanghai AI Lab · 403B (17.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.—
GLM-5.1 (744B-A40B)Zhipu AI · 754B (40.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Nex N2 Pro (397B-A17B)Nex-AGI · 397B (17.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek V4 Pro (April 2026)DeepSeek · 1,599B (49.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Naive N0.5 Flash (309B-A15.5B)Naive AI · 309B (15.5B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Qwen3.5 397B-A17BAlibaba · 403B (17.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
MiniMax M3 (427B)MiniMax · 427B (25.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
GLM-5 (744B-A40B)Zhipu AI · 754B (40.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
K2-Horizon (375B-A23B)Institute of Foundation Models · 379B (23.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Hunyuan Hy3 (295B-A21B)Tencent · 299B (21.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Beam 1.0 (501B-A23B)Reflection AI · 501B (23.4B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Kimi K2.5 (1T)Moonshot AI · 1,027B (32.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Kimi K2.7 Code (1T)Moonshot AI · 1,027B (32.0B active) Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek V4 Flash (284B-A13B)DeepSeek · 304B (13.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
MiMo V2.5 (310B-A15B)Xiaomi · 311B (15.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Ornith 1.5 397B-A17BDeepReinforce · 403B (17.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Nemotron 3.5 Super VL 120B-A12BNVIDIA · 124B (12.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Slowheavy RAM offload65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.24.4 tok/s
DeepSeek V3.2 (671B)DeepSeek · 685B (37.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Inkling Small (276B-A12B)Thinking Machines Lab · 266B (12.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
GLM-4.7 (355B-A32B)Zhipu AI · 358B (32.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Inkling (975B-A41B)Thinking Machines Lab · 952B (41.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
MiniMax M2.7 (230B-A10B)MiniMax · 229B (10.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Step 3.7 Flash (198B-A11B)StepFun · 201B (11.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Nemotron 3 Ultra 550B-A55BNVIDIA · 561B (55.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek R1 0528 (671B)DeepSeek · 685B (37.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Kimi K2 Thinking (1T)Moonshot AI · 1,026B (32.0B active) Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Ornith 1.5 122B-A10BDeepReinforce · 125B (10.0B active) Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Slowheavy RAM offload64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.28.4 tok/s
DeepSeek V3.2 ExpDeepSeek · 685B (37.0B active) Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Ling 2.6 1TAnt Group (inclusionAI) · 1,025B (63.0B active) Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
MiniMax M2.5 (230B-A10B)MiniMax · 229B (10.0B active) Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek R1 (671B)DeepSeek · 671B (37.0B active) Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek V4 Flash (April 2026)DeepSeek · 291B (13.0B active) Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Qwen3.5 122B-A10BAlibaba · 125B (10.0B active) Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.62.2 tok/s Slowheavy RAM offload64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.28.4 tok/s
Step 3.5 Flash (196B-A11B)StepFun · 199B (11.0B active) Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek V3.1 TerminusDeepSeek · 685B (37.0B active) Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek V3.1 (671B)DeepSeek · 685B (37.0B active) Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Kimi K2 Instruct 0905 (1T)Moonshot AI · 1,026B (32.0B active) Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
MiniMax M2.1 (230B-A10B)MiniMax · 229B (10.0B active) Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Qwen3 235B-A22B Thinking 2507Alibaba · 235B (22.0B active) Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Qwen3 Coder 480B-A35BAlibaba · 480B (35.0B active) Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
MiMo V2 Flash (309B-A15B)Xiaomi · 310B (15.0B active) Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Ling 1TAnt Group (inclusionAI) · 1,000B (50.0B active) Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Mistral Large 3 (675B)Mistral AI · 675B (41.0B active) Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Qwen3 235B-A22B Instruct 2507Alibaba · 235B (22.0B active) Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Solar Open 2 250BUpstage · 250B (15.0B active) Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Kimi K2 Instruct (July 2025)Moonshot AI · 1,026B (32.0B active) Won't run62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
MiniMax M2 (230B-A10B)MiniMax · 229B (10.0B active) Won't run62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Qwen3-VL 235B-A22B InstructAlibaba · 236B (22.0B active) Won't run62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Command A+ (218B-A25B)Cohere · 219B (25.0B active) Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
K-EXAONE 236B-A23BLG AI Research · 237B (23.0B active) Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
LongCat Flash Chat (560B)Meituan · 562B (27.0B active) Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Nemotron 3 Super 120B-A12BNVIDIA · 124B (12.0B active) Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Slowheavy RAM offload61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.24.6 tok/s
Qwen3 235B-A22BAlibaba · 235B (22.0B active) Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Devstral 2 (123B)Mistral AI · 125B Won't run60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.6.4 tok/s Won't run60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
InternVL3.5 241B-A28BShanghai AI Lab · 241B (28.0B active) Won't run60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Laguna S 2.1 (118B-A8B)Poolside · 118B (8.0B active) Won't run60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.73.5 tok/s Slowheavy RAM offload60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.35.3 tok/s
Llama 3.1 Nemotron Ultra 253B v1NVIDIA · 253B Won't run60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.— Won't run60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking.—
Baichuan M3 235B-A22BBaichuan · 235B (22.0B active) Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
GLM-4.6 (355B-A32B)Zhipu AI · 357B (32.0B active) Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek V3 0324 (671B)DeepSeek · 685B (37.0B active) Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
GLM-4.6VZhipu AI · 108B (12.0B active) Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Runs wellover GPU memory limit58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Slowheavy RAM offload58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.27.8 tok/s
MiniMax-M1 80KMiniMax · 456B (45.9B active) Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Command A Reasoning (111B)Cohere · 111B Won't run57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Slowover GPU memory limit57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.7.3 tok/s Slowheavy RAM offload57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.3.3 tok/s
GLM-4.5 (355B-A32B)Zhipu AI · 358B (32.0B active) Won't run57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Ling 3.0 Flash (127B-A5B)Ant Group (inclusionAI) · 127B (5.1B active) Won't run57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.99.9 tok/s Won't run57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
MiniMax-M1 40KMiniMax · 456B (45.9B active) Won't run57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Mistral Small 4 (119B-A6B)Mistral AI · 119B (6.0B active) Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Runs wellover GPU memory limit56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.89.9 tok/s Slowheavy RAM offload56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.47.4 tok/s
Mistral Medium 3.5 (128B)Mistral AI · 128B Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.6.3 tok/s Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Trinity Large Thinking (400B-A13B)Arcee AI · 399B (13.0B active) Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Command A (111B)Cohere · 111B Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Slowover GPU memory limit56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.7.3 tok/s Slowheavy RAM offload56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.3.3 tok/s
ERNIE 4.5 300B-A47BBaidu · 300B (47.0B active) Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
GLM-4.5VZhipu AI · 108B (12.0B active) Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Runs wellover GPU memory limit56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Slowheavy RAM offload56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.27.8 tok/s
Hermes 4 405BNous Research · 406B Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Ling 2.6 Flash (104B-A7.4B)Ant Group (inclusionAI) · 107B (7.4B active) Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Runs welltight fit56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.91.5 tok/s Slowheavy RAM offload56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.46.5 tok/s
Mistral Large 2.1 (2411)Mistral AI · 123B Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.6.6 tok/s Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Solar Open 100BUpstage · 103B (12.0B active) Won't run56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Runs welltight fit56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.63.4 tok/s Slowheavy RAM offload56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.29.9 tok/s
GLM-4.5 Air (106B-A12B)Zhipu AI · 110B (12.0B active) Won't run54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Runs wellover GPU memory limit54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.53.8 tok/s Slowheavy RAM offload54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.26.7 tok/s
Mistral Large 2 (123B)Mistral AI · 123B Won't run54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.6.6 tok/s Won't run54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
NorthCUA Probeipo-ai · 397B (17.0B active) Won't run54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Pixtral Large 124B (2411)Mistral AI · 124B Won't run54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.6.5 tok/s Won't run54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Ring Flash 2.0 (100B-A6B)Ant Group (inclusionAI) · 103B (6.1B active) Won't run54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Runs welltight fit54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.105 tok/s Runs welloffloads to RAM54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.57.3 tok/s
dots.llm1 Instructrednote · 143B (14.0B active) Won't run53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Ling Flash 2.0 (100B-A6B)Ant Group (inclusionAI) · 103B (6.1B active) Won't run53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Runs welltight fit53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.105 tok/s Runs welloffloads to RAM53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.57.3 tok/s
MiniMax-Text-01MiniMax · 456B (45.9B active) Won't run53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Tülu 3 405BAi2 · 406B Won't run53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek V3 (671B)DeepSeek · 671B (37.0B active) Won't run52Fair quality (C) · 52 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run52Fair quality (C) · 52 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Won't run52Fair quality (C) · 52 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Sarvam 105BSarvam AI · 106B (10.0B active) Won't run52Fair quality (C) · 52 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.— Runs welltight fit52Fair quality (C) · 52 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.73.1 tok/s Slowheavy RAM offload52Fair quality (C) · 52 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.36.1 tok/s
DeepSeek Coder V2 (236B)DeepSeek · 236B (21.0B active) Won't run51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.—
Leanstral 119B-A6BMistral AI · 119B (6.5B active) Won't run51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Runs wellover GPU memory limit51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.85.1 tok/s Slowheavy RAM offload51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.44.2 tok/s
DeepSeek Coder V2 Instruct (0614)DeepSeek · 236B (21.0B active) Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.—
DeepSeek V2.5 1210DeepSeek · 236B (21.0B active) Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.—
Llama 3.1 405B InstructMeta · 406B Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.—
Llama 4 Maverick (17B x 128E)Meta · 402B (17.0B active) Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.—
Llama 4 Scout 17B-16EMeta · 109B (17.0B active) Won't run50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Runs wellover GPU memory limit50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.40.4 tok/s Slowheavy RAM offload50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.19.8 tok/s
Command R+ (08-2024) 104BCohere · 104B Won't run49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Slowover GPU memory limit49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.7.8 tok/s Slowheavy RAM offload49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.3.6 tok/s
DeepSeek V2.5DeepSeek · 236B (21.0B active) Won't run49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.—
Groot 65B A6B 261023GrootTeam · 118B (6.0B active) Won't run49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Runs wellover GPU memory limit49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.89.9 tok/s Slowheavy RAM offload49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.47.9 tok/s
Jamba 1.5 LargeAI21 Labs · 399B (94.0B active) Won't run49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Won't run49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.—
Ling 3.0 flash SanteAnt Group (inclusionAI) · 127B (5.1B active) Won't run47Fair quality (C) · 47 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Slowfar over GPU memory limit47Fair quality (C) · 47 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.99.9 tok/s Won't run47Fair quality (C) · 47 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.—
Command R+ 104B (04-2024)Cohere · 104B Won't run44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking.— Slowover GPU memory limit44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.7.8 tok/s Slowheavy RAM offload44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking.3.6 tok/s
DeepSeek V2 ChatDeepSeek · 236B (21.0B active) Won't run43Fair quality (C) · 43 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking.— Won't run43Fair quality (C) · 43 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking.— Won't run43Fair quality (C) · 43 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking.—
Mixtral 8x22B InstructMistral AI · 141B (39.0B active) Won't run38Basic quality (D) · 38 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking.— Won't run38Basic quality (D) · 38 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking.— Won't run38Basic quality (D) · 38 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking.—
Qwen1.5 110B ChatAlibaba · 111B Won't run36Basic quality (D) · 36 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking.— Slowover GPU memory limit36Basic quality (D) · 36 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.7.2 tok/s Very slowheavy RAM offload36Basic quality (D) · 36 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 44/100 (quality, fit, speed and memory use) sets the ranking.2.9 tok/s
Grok-1 (314B)xAI · 314B (86.0B active) Won't run35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking.— Won't run35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking.— Won't run35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking.—
Snowflake Arctic InstructSnowflake · 479B (17.0B active) Won't run35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking.— Won't run35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking.— Won't run35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking.—
Falcon 180B ChatTII · 180B Won't run23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking.— Won't run23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking.— Won't run23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking.—

Image models

61 of 61 image models run on the Apple M4 Pro (48 GB). 36.0 GB usable for models.

61 of 61 image models run on the Apple M4 Max (64 GB). 48.0 GB usable for models.

60 of 61 image models run on the NVIDIA GeForce RTX 5090. 32.0 GB usable for models.

Model M4 Profit · speed · quality M4 Maxfit · speed · quality RTX 5090fit · speed · quality
Z-Image TurboAlibaba (Tongyi) · 6.2B Runs well84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.25 s Runs well84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.15 s Runs great84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.2.1 s
ERNIE-Image TurboBaidu · 8.0B Runs well85Excellent quality (A+) · 85 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.32 s Runs well85Excellent quality (A+) · 85 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.19 s Runs great85Excellent quality (A+) · 85 of 100: how capable the model is at FP16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.2.7 s
FLUX.2 [klein] 4BBlack Forest Labs · 3.9B Runs great78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.9.9 s Runs great78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.5.9 s Runs great78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.0.8 s
FLUX.2 [klein] 9BBlack Forest Labs · 9.1B Runs well82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.16 s Runs great84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.11 s Runs great83Great quality (A) · 83 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.1.7 s
FLUX 3 Image KleinBlack Forest Labs · 5.6B Slow91Excellent quality (A+) · 91 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.56 s Runs well91Excellent quality (A+) · 91 of 100: how capable the model is at FP16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.33 s Runs great91Excellent quality (A+) · 91 of 100: how capable the model is at FP16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.4.8 s
Krea 2 TurboKrea · 12.8B Runs well90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.38 s Runs well92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.25 s Runs great90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.3.2 s
Fibo 2.0 DevBria AI · 8.1B Very slow93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.3.7 min Slow93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.2.2 min Runs welltight fit93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.19 s
Ideogram 4Ideogram · 18.6B Very slow90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.3.7 min Slow90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.2.2 min Runs welltight fit90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.19 s
Qwen-Image 2.1 TurboAlibaba · 7.1B Slowtight fit87Excellent quality (A+) · 87 of 100: how capable the model is at FP8, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.1.7 min Slow87Excellent quality (A+) · 87 of 100: how capable the model is at FP8, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.61 s Runs welltight fit87Excellent quality (A+) · 87 of 100: how capable the model is at FP8, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.8.7 s
Z-ImageAlibaba (Tongyi) · 6.2B Very slow82Great quality (A) · 82 of 100: how capable the model is at FP16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.2.8 min Slow82Great quality (A) · 82 of 100: how capable the model is at FP16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.1.7 min Runs well82Great quality (A) · 82 of 100: how capable the model is at FP16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.14 s
FLUX.1 [schnell]Black Forest Labs · 11.9B Runs well68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.18 s Runs great68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.11 s Runs great69Good quality (B) · 69 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.1.9 s
ERNIE-ImageBaidu · 8.0B Very slow87Excellent quality (A+) · 87 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.4.2 min Slow88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.2.1 min Runs well86Excellent quality (A+) · 86 of 100: how capable the model is at FP8, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.17 s
Qwen-Image 2512Alibaba · 20.4B Very slow83Great quality (A) · 83 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.17.7 min Very slow89Excellent quality (A+) · 89 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.10.1 min Slow83Great quality (A) · 83 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.1.5 min
Chroma1-HDLodestone Rock · 8.9B Very slow78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.3.3 min Slow78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.2.0 min Runs well76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.15 s
FireRed-Image-Edit 1.1rednote (FireRed Team) · 20.4B Very slowtight fit86Excellent quality (A+) · 86 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.15.1 min Very slow86Excellent quality (A+) · 86 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.9.0 min Slow80Great quality (A) · 80 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.80 s
FLUX.1 Krea [dev]Black Forest Labs · 11.9B Slow80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.1.8 min Slow82Great quality (A) · 82 of 100: how capable the model is at FP16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.70 s Runs great80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.9.0 s
Qwen-Image-Edit 2511Alibaba · 20.4B Very slowtight fit85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.15.1 min Very slow85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.9.0 min Slow79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.80 s
FLUX.1 Kontext [dev]Black Forest Labs · 11.9B Very slow80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.3.3 min Slow82Great quality (A) · 82 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.2.1 min Runs well80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.17 s
FLUX.1 [dev]Black Forest Labs · 11.9B Slow78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.1.8 min Slow80Great quality (A) · 80 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.70 s Runs great78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.9.0 s
HiDream-I1 FullHiDream.ai · 17.1B Very slowtight fit82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.6.7 min Very slow83Great quality (A) · 83 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.5.1 min Runs wellencoder in RAM82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.36 s
Ming-Image 0.1 DesignAnt Group (inclusionAI) · 6.2B Very slowencoder unloaded after use86Excellent quality (A+) · 86 of 100: how capable the model is at FP16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.2.8 min Slow84Great quality (A) · 84 of 100: how capable the model is at FP8, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.86 s Runs wellencoder in RAM86Excellent quality (A+) · 86 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.14 s
HiDream-I1 DevHiDream.ai · 17.1B Very slowtight fit78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.2.5 min Slow78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.90 s Runs well74Great quality (A) · 74 of 100: how capable the model is at NF4, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.16 s
HiDream-I1 FastHiDream.ai · 17.1B Slowtight fit74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.89 s Slow74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.53 s Runs great70Great quality (A) · 70 of 100: how capable the model is at NF4, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.9.2 s
Qwen-Image 2.1Alibaba · 7.1B Very slowtight fit · encoder unloaded after use92Excellent quality (A+) · 92 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.11.9 min Very slowtight fit92Excellent quality (A+) · 92 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.6.7 min Slowtight fit · encoder in RAM86Excellent quality (A+) · 86 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.63 s
FLUX.1 Fill [dev]Black Forest Labs · 11.9B Slow74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.1.8 min Slow76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.73 s Runs great74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.9.4 s
MOSS-Image SFTOpenMOSS · 5.1B Slow80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.2.1 min Slow82Great quality (A) · 82 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.82 s Runs great80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.11 s
Qwen-ImageAlibaba · 20.4B Very slowencoder unloaded after use86Excellent quality (A+) · 86 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.14.0 min Very slow86Excellent quality (A+) · 86 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.7.9 min Slowencoder in RAM86Excellent quality (A+) · 86 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.71 s
Stable Diffusion 3.5 Large TurboStability AI · 8.1B Runs well60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.14 s Runs great62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.9.4 s Runs great61Good quality (B) · 61 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.1.5 s
FLUX.2 [dev]Black Forest Labs · 32.2B Very slowencoder unloaded after use85Excellent quality (A+) · 85 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.7.5 min Very slowencoder unloaded after use91Excellent quality (A+) · 91 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.4.2 min Runs wellencoder in RAM85Excellent quality (A+) · 85 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.38 s
Stable Diffusion 3.5 LargeStability AI · 8.1B Slow66Good quality (B) · 66 of 100: how capable the model is at FP16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.1.8 min Slow66Good quality (B) · 66 of 100: how capable the model is at FP16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.64 s Runs great64Good quality (B) · 64 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.8.3 s
MiniMax H3 ImageMiniMax · 33.1B SlowCPU offload93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.2.1 min Slowencoder unloaded after use91Excellent quality (A+) · 91 of 100: how capable the model is at FP8, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.55 s Runs greatCPU offload91Excellent quality (A+) · 91 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.9.8 s
Iris-3BSperidlabs · 3.0B Very slow72Great quality (A) · 72 of 100: how capable the model is at FP16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.2.6 min Slow72Great quality (A) · 72 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.1.6 min Runs well72Great quality (A) · 72 of 100: how capable the model is at FP16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.13 s
KolorsKuaishou · 2.6B Runs well60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.39 s Runs well60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.23 s Runs great60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.3.3 s
CogView4 6BZhipu AI · 6.4B Very slow68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.2.7 min Slow70Great quality (A) · 70 of 100: how capable the model is at FP16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.1.8 min Runs well68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.14 s
OmniGen2BAAI (VectorSpaceLab) · 4.0B Very slow66Good quality (B) · 66 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.2.6 min Slow66Good quality (B) · 66 of 100: how capable the model is at FP16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.1.6 min Runs great64Good quality (B) · 64 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.12 s
SDXL-Lightning (4-step)ByteDance · 2.6B Runs great54Fair quality (C) · 54 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.6.9 s Runs great54Fair quality (C) · 54 of 100: how capable the model is at FP16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.4.1 s Runs great54Fair quality (C) · 54 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.0.6 s
Cosmos3-Super Text2Image (64B)NVIDIA · 64.0B Very slowCPU offload90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.7.7 min Very slowCPU offload90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.4.6 min Runs wellCPU offload90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.39 s
Stable Diffusion 3.5 MediumStability AI · 2.5B Slow58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.59 s Runs well58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.35 s Runs great58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.5.0 s
Stable Diffusion 3 MediumStability AI · 2.0B Runs well52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.31 s Runs well50Fair quality (C) · 50 of 100: how capable the model is at FP8, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.16 s Runs great52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.2.6 s
DreamShaper XL v2 TurboLykon · 2.6B Runs great56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.12 s Runs great58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.7.6 s Runs great58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.1.1 s
PixArt-Σ XL 1024PixArt · 0.6B Runs well50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.15 s Runs great50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.8.8 s Runs great50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.1.3 s
Lumina-Image 2.0Shanghai AI Lab · 2.6B Slow62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.69 s Runs well60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.37 s Runs great62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.5.9 s
Kandinsky 3Sber AI · 3.0B Slow48Fair quality (C) · 48 of 100: how capable the model is at FP16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.89 s Slow48Fair quality (C) · 48 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.53 s Runs great48Fair quality (C) · 48 of 100: how capable the model is at FP16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.7.5 s
HunyuanImage 3.0 (80B-A13B)Tencent · 83.0B Very slowtight fit · CPU offload88Excellent quality (A+) · 88 of 100: how capable the model is at FP8, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.11.5 min Very slowCPU offload88Excellent quality (A+) · 88 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.6.9 min Won't run88Excellent quality (A+) · 88 of 100: how capable the model is at FP8, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.—
Pony Diffusion V6 XLPurpleSmartAI · 2.6B Runs well58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.37 s Runs well56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.20 s Runs great58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.3.2 s
Stable CascadeStability AI · 5.2B Slow52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.49 s Runs well50Fair quality (C) · 50 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.26 s Runs great52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.4.2 s
Juggernaut XL v9RunDiffusion · 2.6B Runs well60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.40 s Runs well62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.26 s Runs great62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.3.8 s
RealVisXL V5.0SG161222 · 2.6B Runs well60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.40 s Runs well62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.26 s Runs great62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.3.8 s
Playground v2.5Playground AI · 2.6B Slow60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.74 s Runs well58Good quality (B) · 58 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.40 s Runs great60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.6.3 s
SDXL TurboStability AI · 2.6B Runs great40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.1.5 s Runs great40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.0.9 s Runs great40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.0.1 s
Animagine XL 4.0Cagliostro Lab · 2.6B Runs well58Good quality (B) · 58 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.37 s Runs well60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.25 s Runs great60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.3.5 s
Illustrious XL v0.1OnomaAI · 2.6B Runs well58Good quality (B) · 58 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.37 s Runs well60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.25 s Runs great60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.3.5 s
AuraFlow v0.3fal · 6.9B Slow56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.2.1 min Slow58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.82 s Runs great56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.11 s
Animagine XL 3.1Cagliostro Lab · 2.6B Runs well54Fair quality (C) · 54 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.37 s Runs well54Fair quality (C) · 54 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.22 s Runs great56Good quality (B) · 56 of 100: how capable the model is at FP16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.3.5 s
Hunyuan-DiT v1.2Tencent · 1.5B Slow52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.59 s Runs well52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.35 s Runs great52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.5.0 s
Stable Diffusion XL 1.0Stability AI · 2.6B Runs well53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.40 s Runs well53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.24 s Runs great55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.3.8 s
Realistic Vision V5.1SG161222 · 0.9B Runs great42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.12 s Runs great42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.7.0 s Runs great42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.1.0 s
DreamShaper 8Lykon · 0.9B Runs great40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.12 s Runs great40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.7.0 s Runs great40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.1.0 s
Stable Diffusion 1.5Stability AI / Runway · 0.9B Runs great35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.12 s Runs great35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.7.0 s Runs great35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.1.0 s
LCM DreamShaper v7Tsinghua (LCM) · 0.9B Runs great30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.2.5 s Runs great30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.1.5 s Runs great30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.0.2 s
SD TurboStability AI · 0.9B Runs great28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.0.8 s Runs great28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.0.5 s Runs great28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.0.1 s

Video models

41 of 43 video models run on the Apple M4 Pro (48 GB). 36.0 GB usable for models.

42 of 43 video models run on the Apple M4 Max (64 GB). 48.0 GB usable for models.

40 of 43 video models run on the NVIDIA GeForce RTX 5090. 32.0 GB usable for models.

Model M4 Profit · speed · quality M4 Maxfit · speed · quality RTX 5090fit · speed · quality
Bernini-R A14B (video generation + editing)ByteDance · 14.3B Very slow83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.1.8 h Very slow83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.63.3 min Runs well83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.9.0 min
LTX-Video 13B 0.9.8 (distilled)Lightricks · 13.0B Runs well66Good quality (B) · 66 of 100: how capable the model is at FP8, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.8.9 min Runs well66Good quality (B) · 66 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.5.3 min Runs welltight fit66Good quality (B) · 66 of 100: how capable the model is at FP8, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.45 s
LTX-2.5 (22B, video + audio)Lightricks · 21.0B Slowencoder unloaded after use81Great quality (A) · 81 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.18.8 min Runs well81Great quality (A) · 81 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.10.7 min Runs greatencoder in RAM81Great quality (A) · 81 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.1.6 min
SCAIL-2 14B (character animation)Zhipu AI · 16.4B Very slow78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.3.0 h Very slow78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.1.8 h Slowtight fit78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.15.1 min
HY-OmniWeaving (8.3B, unified video)Tencent · 8.3B Very slow74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.78.3 min Very slow74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.46.6 min Runs well74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.6.7 min
FramePack I2V (HunyuanVideo 13B)lllyasviel · 12.9B Very slow72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.59.1 min Slow72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.35.2 min Runs welltight fit72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.5.0 min
Wan 2.2 S2V 14B (speech to video)Alibaba · 16.3B Very slow75Great quality (A) · 75 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.3.1 h Very slow75Great quality (A) · 75 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.1.9 h Slowtight fit74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.12.5 min
Wan 2.2 I2V A14BAlibaba · 14.0B Very slowtight fit79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.5.3 h Very slow85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.3.0 h Slowencoder in RAM79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.28.1 min
Wan 2.2 T2V A14BAlibaba · 14.0B Very slowtight fit79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.5.3 h Very slow85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.3.0 h Slowencoder in RAM79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.28.1 min
Wan 2.1 I2V 14B 480PAlibaba · 14.0B Very slow73Great quality (A) · 73 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.2.8 h Very slow72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.79.1 min Runs well72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.11.3 min
SkyReels V2 T2V 14B 540PSkywork · 14.0B Very slow72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.3.4 h Very slow72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.2.1 h Slowtight fit72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.17.6 min
LTX-2.3Lightricks · 18.9B Very slowtight fit · encoder unloaded after use85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.79.3 min Slowtight fit84Great quality (A) · 84 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.35.2 min Runs wellencoder in RAM79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.7.0 min
HunyuanVideo 1.5 (8.3B)Tencent · 8.3B Very slowencoder unloaded after use82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.4.7 h Very slow82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.2.6 h Slowtight fit · encoder in RAM82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.23.7 min
LTX-2 (19B, video + audio)Lightricks · 18.9B Very slowtight fit · encoder unloaded after use80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.62.1 min Slowtight fit80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.35.2 min Runs wellencoder in RAM76Great quality (A) · 76 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.7.0 min
MiniMax H3 (33B, video + audio)MiniMax · 20.1B Very slowtight fit · encoder unloaded after use83Great quality (A) · 83 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.3.6 h Very slowtight fit · encoder unloaded after use89Excellent quality (A+) · 89 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.2.0 h SlowCPU offload88Excellent quality (A+) · 88 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.17.0 min
Kandinsky 6.0 Video Lite (3B, video + audio)Sber AI · 3.2B Very slowtight fit68Good quality (B) · 68 of 100: how capable the model is at FP16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.50.9 min Slow68Good quality (B) · 68 of 100: how capable the model is at FP16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.30.3 min Runs wellencoder in RAM68Good quality (B) · 68 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.4.5 min
Wan 2.2 Animate 14BAlibaba · 17.3B Very slowtight fit72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.6.2 h Very slowtight fit77Great quality (A) · 77 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.3.6 h Slowtight fit · encoder in RAM72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.33.4 min
Wan 2.1 I2V 14B 720PAlibaba · 14.0B Very slowtight fit72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.6.6 h Very slow77Great quality (A) · 77 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.3.7 h Slowencoder in RAM72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.35.1 min
Wan 2.1 T2V 14BAlibaba · 14.0B Very slowtight fit72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.6.6 h Very slow77Great quality (A) · 77 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.3.7 h Slowencoder in RAM72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.35.1 min
Wan 2.1 VACE 14BAlibaba · 17.3B Very slowtight fit72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.7.2 h Very slowtight fit77Great quality (A) · 77 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.4.1 h Slowtight fit · encoder in RAM72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.38.6 min
Wan 2.2 TI2V 5BAlibaba · 5.0B Very slow65Good quality (B) · 65 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.1.7 h Very slow68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.45.7 min Runs welltight fit65Good quality (B) · 65 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.8.7 min
Cosmos-Predict2 2B Video2WorldNVIDIA · 2.0B Slow56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.37.0 min Slow58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.24.4 min Runs great56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.3.1 min
CogVideoX 5BZhipu AI · 5.0B Slow55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.29.6 min Slow55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.17.6 min Runs great55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.2.5 min
CogVideoX 5B I2VZhipu AI · 5.6B Slow55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.29.6 min Slow55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.17.6 min Runs great55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.2.5 min
Mochi 1 Preview (10B)Genmo · 10.0B Very slow60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.2.7 h Very slow60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.1.6 h Slow60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.13.8 min
Kandinsky 6.0 Pro (29B, video + audio)Sber AI · 30.1B Very slowCPU offload88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.10.5 h Very slowCPU offload88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.6.2 h Very slowtight fit · CPU offload88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.53.3 min
LTX-Video 2BLightricks · 1.9B Runs great49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.3.7 min Runs great50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.2.4 min Runs great50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.21 s
SkyReels V2 Diffusion Forcing 1.3BSkywork · 1.4B Very slow52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.49.3 min Slow52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.29.3 min Runs great50Fair quality (C) · 50 of 100: how capable the model is at FP8, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.3.8 min
Wan 2.1 T2V 1.3BAlibaba · 1.3B Slow55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.39.4 min Slow55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.23.4 min Runs great53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.3.0 min
HunyuanVideo 13BTencent · 13.0B Very slowencoder unloaded after use66Good quality (B) · 66 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.8.3 h Very slow66Good quality (B) · 66 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.4.7 h SlowCPU offload70Great quality (A) · 70 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.39.1 min
HunyuanVideo I2V 13BTencent · 13.0B Very slowencoder unloaded after use66Good quality (B) · 66 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.8.3 h Very slow66Good quality (B) · 66 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.4.7 h SlowCPU offload70Great quality (A) · 70 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.39.1 min
Open-Sora 2.0 (11B)HPC-AI Tech · 11.0B Very slowtight fit · encoder unloaded after use70Great quality (A) · 70 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.8.6 h Very slowtight fit70Great quality (A) · 70 of 100: how capable the model is at FP16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.4.9 h Very slowCPU offload70Great quality (A) · 70 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.54.4 min
Cosmos-Predict2 14B Video2WorldNVIDIA · 14.0B Very slowtight fit · encoder unloaded after use68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.4.1 h Very slow68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.2.3 h SlowCPU offload68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.26.1 min
SkyReels V2 T2V 14B 720PSkywork · 14.0B Very slowCPU offload76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.7.7 h Very slowtight fit76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.3.5 h SlowCPU offload76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.39.1 min
Wan 2.1 VACE 1.3BAlibaba · 2.2B Slow53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.38.4 min Slow55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.25.4 min Runs great53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.3.3 min
Step-Video T2V (30B)StepFun · 30.0B Very slowCPU offload74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.9.9 h Very slowtight fit · encoder unloaded after use74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.4.8 h Very slowCPU offload74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.50.6 min
CogVideoX 2BZhipu AI · 1.7B Runs well44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.8.9 min Runs well44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.5.3 min Runs great45Fair quality (C) · 45 of 100: how capable the model is at FP16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.50 s
Allegro (2.8B)Rhymes AI · 2.8B Very slowencoder unloaded after use52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.3.4 h Very slow52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.2.0 h Slowtight fit · encoder in RAM52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.17.6 min
AnimateDiff v3 (SD 1.5)Shanghai AI Lab · 1.3B Runs great35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.3.3 min Runs great35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.2.0 min Runs great35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.17 s
Cosmos 1.0 Diffusion 7B Text2WorldNVIDIA · 7.0B Very slowCPU offload60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.2.0 h Very slowencoder unloaded after use60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.56.4 min Runs welltight fit · CPU offload60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.10.0 min
CogVideoX 1.5 5BZhipu AI · 5.6B Very slowtight fit · CPU offload60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.3.2 h Very slow58Good quality (B) · 58 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.79.1 min Won't run58Good quality (B) · 58 of 100: how capable the model is at FP8, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking.—
Cosmos3-Super Image2Video (64B)NVIDIA · 64.0B Won't run88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.— Won't run88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.— Won't run88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.—
Wan-Dancer 14B (music to dance)Alibaba · 17.3B Won't run74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.— Very slowCPU offload74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.8.4 h Won't run74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.—

Decision models

69 of 70 decision models run on the Apple M4 Pro (48 GB). 36.0 GB usable for models.

69 of 70 decision models run on the Apple M4 Max (64 GB). 48.0 GB usable for models.

68 of 70 decision models run on the NVIDIA GeForce RTX 5090. 32.0 GB usable for models.

Model M4 Profit · speed · quality M4 Maxfit · speed · quality RTX 5090fit · speed · quality
Jina Reranker v3.5Jina AI · 600M Runs great86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.67 ms Runs great86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.35 ms Runs great86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.9.2 ms
Jina Reranker v3Jina AI · 600M Runs great84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.67 ms Runs great84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.35 ms Runs great84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.9.2 ms
FRIDA-DecisionsSber AI · 820M Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.50 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.27 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.7.5 ms
GLiNER2.5 DecideFastino · 490M Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.31 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.18 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.6.1 ms
Qwen3 Reranker 0.6BAlibaba · 600M Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.67 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.35 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.9.2 ms
Llama Prompt Guard 2 86MMeta · 280M Runs great76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.35 ms Runs great76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.20 ms Runs great76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.6.4 ms
mxbai-rerank-base v2Mixedbread · 490M Runs great76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.55 ms Runs great76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.30 ms Runs great76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.8.3 ms
mxbai-rerank-large v2Mixedbread · 1.5B Runs well82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.153 ms Runs great82Great quality (A) · 82 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.84 ms Runs great82Great quality (A) · 82 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.17 ms
d1 3BLiquid AI · 3.1B Runs well82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.165 ms Runs great82Great quality (A) · 82 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.97 ms Runs great82Great quality (A) · 82 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.21 ms
GLiClass ModernBERT Large v3Knowledgator · 400M Runs great74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.26 ms Runs great74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.15 ms Runs great74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.5.7 ms
OpenAI Privacy FilterOpenAI · 1.4B (50M active) Runs great78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.6.8 ms Runs great78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.5.4 ms Runs great78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.4.2 ms
Qwen3 Reranker 4BAlibaba · 4.0B Runs well90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.392 ms Runs well90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.198 ms Runs great90Excellent quality (A+) · 90 of 100: how capable the model is at F16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.39 ms
Intern-Decision 4BShanghai AI Lab · 4.5B Runs well84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.239 ms Runs great84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.121 ms Runs great84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.28 ms
zerank-1 smallZeroEntropy · 1.7B Runs well80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.170 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.94 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.19 ms
BGE Reranker v2 M3BAAI · 570M Runs great72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.68 ms Runs great72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.36 ms Runs great72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.8.8 ms
DeBERTa v3 Large Zero-shot v2.0Moritz Laurer · 440M Runs great72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.29 ms Runs great72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.16 ms Runs great72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.5.9 ms
DuoGuard 0.5BDuoGuard · 490M Runs great72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.59 ms Runs great72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.31 ms Runs great72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.8.2 ms
zerank-2ZeroEntropy · 4.0B Runs well88Excellent quality (A+) · 88 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.392 ms Runs well88Excellent quality (A+) · 88 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.198 ms Runs great88Excellent quality (A+) · 88 of 100: how capable the model is at F16, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.39 ms
GTE Reranker ModernBERT BaseAlibaba · 150M Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.21 ms Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.12 ms Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.5.3 ms
Jina Reranker v2 Base MultilingualJina AI · 280M Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.35 ms Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.20 ms Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.6.4 ms
ModernBERT Large Zero-shot v2.0Moritz Laurer · 400M Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.26 ms Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.15 ms Runs great70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.5.7 ms
Shieldstral 1.0 3BMistral AI · 3.9B Runs well86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.376 ms Runs well86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.190 ms Runs great86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.38 ms
Skywork Reward V2 Qwen3 0.6BSkywork · 600M Runs great72Great quality (A) · 72 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.121 ms Runs great72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.71 ms Runs great72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.14 ms
LemonDecider 4BAnt Group (inclusionAI) · 4.5B Runs well80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.225 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.115 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.23 ms
Qwen3 Reranker 8BAlibaba · 8.2B Slow90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.795 ms Runs well90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.399 ms Runs great90Excellent quality (A+) · 90 of 100: how capable the model is at F16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.75 ms
GLiGuard 300MFastino · 210M Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.28 ms Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.16 ms Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.5.8 ms
Granite Embedding Reranker English R2IBM · 150M Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.21 ms Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.12 ms Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.5.3 ms
LayaConvai Innovations · 420M Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.28 ms Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.16 ms Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.5.8 ms
Llama Prompt Guard 2 22MMeta · 71M Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.12 ms Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.8.0 ms Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.4.6 ms
Qwen3Guard Gen 0.6BAlibaba · 750M Runs great74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.102 ms Runs great74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.71 ms Runs great74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.18 ms
GLiClass Base v3Knowledgator · 190M Runs great66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.15 ms Runs great66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.9.3 ms Runs great66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.4.8 ms
ProtectAI DeBERTa v3 Prompt Injection v2Protect AI · 180M Runs great66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.24 ms Runs great66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.14 ms Runs great66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.5.5 ms
BGE Reranker v2 GemmaBAAI · 2.5B Runs well78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.246 ms Runs great78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.125 ms Runs great78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.26 ms
Skywork Reward V2 Llama 3.1 8BSkywork · 7.5B Very slow90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.1.5 s Slow90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.736 ms Runs great90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.115 ms
DeBERTa v3 Base Zero-shot v2.0Moritz Laurer · 180M Runs great64Good quality (B) · 64 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.14 ms Runs great64Good quality (B) · 64 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.9.0 ms Runs great64Good quality (B) · 64 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.4.8 ms
GLiNER2 Base v1Fastino · 210M Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.16 ms Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.9.9 ms Runs great68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.4.9 ms
HHEM 2.1 OpenVectara · 110M Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.29 ms Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.16 ms Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.5.9 ms
LettuceDetect LargeKR Labs · 400M Runs great66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.94 ms Runs great66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.49 ms Runs great66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.11 ms
Laya MultilingualConvai Innovations · 320M Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.22 ms Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.13 ms Runs great60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.5.4 ms
GLiDE 27BFastino · 26B Slowtight fit86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.1.3 s Slow86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.640 ms Won't run86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.—
Skywork Reward V2 Qwen3 8BSkywork · 7.6B Very slow84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.1.5 s Slow84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.743 ms Runs great84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.116 ms
Qwen3Guard Gen 4BAlibaba · 4.4B Slow84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.580 ms Runs well83Great quality (A) · 83 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.268 ms Runs great84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.85 ms
GLiNER Multi v2.1Urchade Zaratiana · 290M Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.20 ms Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.12 ms Runs great62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.5.2 ms
Qwen3Guard Gen 8BAlibaba · 8.2B Slow86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.1.1 s Slow86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.539 ms Runs great86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.103 ms
BART Large MNLIMeta · 410M Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.27 ms Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.16 ms Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.5.7 ms
Llama 3.1 Nemotron Safety Guard 8B v3NVIDIA · 8.0B Slow84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.1.1 s Slow84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.528 ms Runs great84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.102 ms
Granite Guardian 4.1 8BIBM · 8.4B Slow84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.1.1 s Slow84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.551 ms Runs great83Great quality (A) · 83 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.94 ms
ms-marco MiniLM L6 v2Sentence Transformers · 23M Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.6.6 ms Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.5.3 ms Runs great52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.4.2 ms
NuExtract 2.0 4BNuMind · 3.8B Slow75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.622 ms Runs well75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.313 ms Runs great76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.97 ms
WildGuard 7BAi2 · 7.3B Slow80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.951 ms Slow80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.477 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.92 ms
Granite Guardian 3.3 8BIBM · 8.2B Slow80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.1.1 s Slow80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.538 ms Runs great80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.103 ms
NuExtract 2.0 2BNuMind · 2.2B Runs well69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.368 ms Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.145 ms Runs great70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.59 ms
ShieldGemma 2BGoogle · 2.6B Runs well58Good quality (B) · 58 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.256 ms Runs great58Good quality (B) · 58 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.130 ms Runs great58Good quality (B) · 58 of 100: how capable the model is at F16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.27 ms
ShieldGemma 9BGoogle · 9.2B Slow64Good quality (B) · 64 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.896 ms Slow64Good quality (B) · 64 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.450 ms Runs great64Good quality (B) · 64 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.85 ms
Llama Guard 3 1BMeta · 1.5B Runs well55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.184 ms Runs great56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.102 ms Runs great56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.32 ms
CompassJudger-2 32BOpenCompass · 33B Very slow83Great quality (A) · 83 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.26.5 s Very slow86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.19.7 s Very slow83Great quality (A) · 83 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.3.2 s
ShieldGemma 27BGoogle · 27B Very slow65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.2.6 s Slow66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.1.3 s Runs well65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.206 ms
Llama Guard 3 8BMeta · 8.0B Slow68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.1.1 s Slow68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.528 ms Runs great68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.102 ms
Nemotron Content Safety Reasoning 4BNVIDIA · 4.3B Very slow78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.5.1 s Very slow77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.1.9 s Runs well74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.346 ms
DynaGuard 8BUniversity of Maryland · 8.2B Very slow79Great quality (A) · 79 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.9.7 s Very slow79Great quality (A) · 79 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.4.8 s Slow78Great quality (A) · 78 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.918 ms
gpt-oss-safeguard 20BOpenAI · 22B (3.6B active) Very slow76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.2.7 s Very slow76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.1.6 s Slow76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.812 ms
Selene 1 Mini 8BAtla · 8.0B Very slow80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.9.6 s Very slow80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.4.8 s Slow79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.902 ms
CompassJudger-2 7BOpenCompass · 7.6B Very slow78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.9.2 s Very slow78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.4.6 s Slow77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.856 ms
Llama Guard 4 12BMeta · 12B Slow62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.1.3 s Slow66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.788 ms Runs great65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.133 ms
DynaGuard 1.7BUniversity of Maryland · 2.0B Slow66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.1.3 s Slow69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.906 ms Runs well66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.165 ms
Prometheus 2 7BPrometheus Eval · 7.2B Very slow68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.8.7 s Very slow67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.3.4 s Slow67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.814 ms
Prometheus 2 8x7BPrometheus Eval · 47B (13B active) Very slowtight fit70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.9.5 s Very slow71Great quality (A) · 71 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.5.7 s Very slowtight fit70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.1.6 s
GLIDERPatronus AI · 3.8B Very slow65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.3.6 s Very slow65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.1.8 s Runs well62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.316 ms
Flow Judge v0.1Flow AI · 3.8B Very slow63Good quality (B) · 63 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.3.6 s Very slow63Good quality (B) · 63 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.1.8 s Runs well60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.316 ms
gpt-oss-safeguard 120BOpenAI · 117B (5.1B active) Won't run80Great quality (A) · 80 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.— Won't run80Great quality (A) · 80 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.— Won't run80Great quality (A) · 80 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.—

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

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