Apple M3 Max (64 GB) vs AMD Radeon AI PRO R9700 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 M3 Max (64 GB)

For general chat: It runs 7 more LLMs (521 vs 514). On the other hand, the AMD Radeon AI PRO R9700 is about 1.3× faster on its own top models.

Side by side

Swap sides All models on the M3 Max All models on the AI PRO R9700

  Apple MacBook Pro (14-inch, M3 Pro or M3 Max, Nov 2023)Apple M3 Max (64 GB) ASRock Radeon AI PRO R9700 Creator 32GBAMD Radeon AI PRO R9700
Memory 64.0 GB unified 32.0 GB VRAM
Usable for models 48.0 GB 32.0 GB
Memory bandwidth 400 GB/s 640 GB/s
FP16 compute 16.4 TFLOPS 95.7 TFLOPS
Launch price — $1,299
Released 2023 2025
LLMs that run 521 of 622 514 of 622
LLMs that run well 485 489
Image models that run 61 of 61 60 of 61
Video models that run 42 of 43 40 of 43
Decision models that run 69 of 70 68 of 70
Top-10 LLM average score 100 100
Top-10 LLM average speed 71.8 tok/s 94.6 tok/s
Best LLM Qwen3.5 35B-A3B MiniCPM-V 4.7 35B-A3B

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

LLMs

521 of 622 LLMs run on the Apple M3 Max (64 GB). 48.0 GB usable for models.

514 of 622 LLMs run on the AMD Radeon AI PRO R9700. 32.0 GB usable for models.

Model QualityM3 Max SpeedM3 Max RunsM3 Max QualityAI PRO R9700 SpeedAI PRO R9700 RunsAI PRO R9700
Qwen3.5 35B-A3BAlibaba · 36B (3.0B active) 90Excellent 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. 82.7 tok/s Runs great 92Excellent 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. 100 tok/s Runs welltight fit
Qwen3.6 35B-A3BAlibaba · 36B (3.0B active) 90Excellent 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. 82.7 tok/s Runs great 92Excellent 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. 100 tok/s Runs welltight fit
Sage-A1.5 35B-A3BInternScience · 36B (3.0B active) 90Excellent 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. 72.3 tok/s Runs great 90Excellent 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. 100 tok/s Runs welltight fit
Flint (40B-A2.5B)Recursive · 40B (2.5B active) 89Excellent 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. 82.4 tok/s Runs great 85Excellent 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. 142 tok/s Runs great
Ornith 1.5 35B-A3BDeepReinforce · 36B (3.0B active) 89Excellent 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. 72.3 tok/s Runs great 89Excellent 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. 100 tok/s Runs welltight fit
MiniCPM-V 4.7 35B-A3BOpenBMB · 35B (3.0B active) 90Excellent 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. 82.7 tok/s Runs great 92Excellent 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. 100 tok/s Runs welltight fit
Apodex 1.1 Mini (35B-A3B)Apodex · 36B (3.0B active) 88Excellent 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. 72.3 tok/s Runs great 88Excellent 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. 100 tok/s Runs welltight fit
Ornith 1.0 35B-A3BDeepReinforce · 36B (3.0B active) 88Excellent 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. 72.3 tok/s Runs great 88Excellent 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. 100 tok/s Runs welltight fit
GLM-4.7 Flash (30B-A3B)Zhipu AI · 31B (3.0B active) 88Excellent 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. 56.4 tok/s Runs great 85Excellent 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. 113 tok/s Runs great
Raon-1 mini Preview (30B-A4B)KRAFTON · 29B (4.3B active) 88Excellent 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. 42.0 tok/s Runs great 87Excellent 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. 78.3 tok/s Runs great
Nex N2 Mini (35B-A3B)Nex-AGI · 35B (3.0B active) 89Excellent 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. 82.7 tok/s Runs great 91Excellent 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. 100 tok/s Runs welltight fit
Agents-A1 35B-A3BInternScience · 35B (3.0B active) 86Excellent 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. 72.3 tok/s Runs great 86Excellent 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. 100 tok/s Runs welltight fit
Qwen AgentWorld 35B-A3BAlibaba · 35B (3.0B active) 86Excellent 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. 72.3 tok/s Runs great 84Great 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. 113 tok/s Runs great
Gemma 4 26B-A4BGoogle · 26B (3.8B active) 91Excellent 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. 60.4 tok/s Runs great 92Excellent 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. 67.4 tok/s Runs welltight fit
Laguna XS 2.1 (33B-A3B)Poolside · 33B (3.0B active) 81Great 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. 72.3 tok/s Runs great 81Great 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. 100 tok/s Runs welltight fit
Nemotron Cascade 2 30B-A3BNVIDIA · 32B (3.5B active) 80Great 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. 49.8 tok/s Runs great 77Great 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. 102 tok/s Runs great
KAT-Coder V2.5 Dev (35B-A3B)Kuaishou · 35B (3.0B active) 90Excellent 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. 72.3 tok/s Runs great 88Excellent 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. 113 tok/s Runs great
DiffusionGemma 26B-A4B ITGoogle · 26B (4.0B active) 78Great 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. 44.7 tok/s Runs great 77Great 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. 82.4 tok/s Runs great
Nemotron 3 Nano 30B-A3BNVIDIA · 32B (3.5B active) 77Great 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. 49.8 tok/s Runs great 74Great 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. 102 tok/s Runs great
Qwen3 30B-A3B Instruct 2507Alibaba · 31B (3.3B active) 77Great 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. 52.3 tok/s Runs great 74Great 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. 106 tok/s Runs great
Qwen3-VL 30B-A3B ThinkingAlibaba · 31B (3.3B active) 76Great 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. 52.3 tok/s Runs great 73Great 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. 106 tok/s Runs great
Nemotron 3.5 Bolt 74B-A9BNVIDIA · 75B (9.0B active) 77Great 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. 50.7 tok/s Runs welltight fit 77Great 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. 36.1 tok/s Runs welloffloads to RAM
Nanbeige4.3 33BBOSS Zhipin (Nanbeige) · 33B 92Excellent quality (A+) · 92 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. 10.5 tok/s Runs well 90Excellent quality (A+) · 90 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. 20.4 tok/s Runs well
Qwen3.8 27BAlibaba · 28B 94Excellent quality (A+) · 94 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. 10.6 tok/s Runs well 90Excellent quality (A+) · 90 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. 24.4 tok/s Runs well
Kolibri 1 (78B-A3.5B)Aleph Alpha · 78B (3.5B active) 76Great 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. 104 tok/s Runs welltight fit 76Great 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. 73.1 tok/s Runs welloffloads to RAM
Qwen3 30B-A3BAlibaba · 31B (3.3B active) 74Great 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. 52.3 tok/s Runs great 71Great 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. 106 tok/s Runs great
Qwen3-VL 30B-A3B InstructAlibaba · 31B (3.3B active) 74Great 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. 52.3 tok/s Runs great 71Great 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. 106 tok/s Runs great
Hunyuan Hy-Memory 30B-A3BTencent · 30B (3.0B active) 85Excellent 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. 56.4 tok/s Runs great 82Great 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. 113 tok/s Runs great
Qwen3.6 27BAlibaba · 28B 93Excellent quality (A+) · 93 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. 10.6 tok/s Runs well 89Excellent quality (A+) · 89 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. 24.4 tok/s Runs well
LFM2.5 24B-A2BLiquid AI · 24B (2.5B active) 74Great 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. 65.8 tok/s Runs great 73Great 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. 113 tok/s Runs great
Qwen3.5 27BAlibaba · 28B 92Excellent quality (A+) · 92 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. 10.6 tok/s Runs well 88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. 24.4 tok/s Runs well
Nemotron 3.5 Lightning 30B-A3BNVIDIA · 32B (3.0B active) 72Great 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. 56.4 tok/s Runs great 69Good 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. 113 tok/s Runs great
Kimi Linear 48B-A3BMoonshot AI · 49B (3.0B active) 71Great 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. 82.7 tok/s Runs great 62Good 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. 150 tok/s Runs great
Qwen3-Next 80B-A3B ThinkingAlibaba · 81B (3.0B active) 72Great 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. 115 tok/s Runs welltight fit 72Great 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. 76.4 tok/s Runs welloffloads to RAM
Sarvam 30BSarvam AI · 32B (2.4B active) 70Great 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. 66.9 tok/s Runs great 67Good 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. 128 tok/s Runs great
Gemma 4 31BGoogle · 31B 88Excellent quality (A+) · 88 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. 11.2 tok/s Runs well 86Excellent quality (A+) · 86 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. 21.6 tok/s Runs well
Qwen3-Omni 30B-A3B InstructAlibaba · 35B (3.3B active) 69Good 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. 67.3 tok/s Runs great 69Good 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. 94.0 tok/s Runs welltight fit
TMax 27BAi2 · 27B 89Excellent quality (A+) · 89 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. 10.7 tok/s Runs well 85Excellent quality (A+) · 85 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. 24.7 tok/s Runs well
North Mini Code 1.0 (30B-A3B)Cohere · 30B (3.0B active) 80Great 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. 56.4 tok/s Runs great 77Great 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. 113 tok/s Runs great
Qwen3 Next 80B-A3B InstructAlibaba · 81B (3.0B active) 70Great 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. 115 tok/s Runs welltight fit 70Great 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. 76.4 tok/s Runs welloffloads to RAM
Muse Glimmer 30BMeta · 30B 89Excellent quality (A+) · 89 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. 11.7 tok/s Runs well 87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. 22.7 tok/s Runs well
Fara 1.5 27BMicrosoft · 27B 87Excellent quality (A+) · 87 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. 10.7 tok/s Runs well 83Great quality (A) · 83 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. 24.7 tok/s Runs well
Qwen3 30B-A3B Thinking 2507Alibaba · 31B (3.3B active) 78Great 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. 52.3 tok/s Runs great 75Great 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. 106 tok/s Runs great
Qwen3 Coder 30B-A3BAlibaba · 31B (3.3B active) 78Great 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. 52.3 tok/s Runs great 75Great 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. 106 tok/s Runs great
Trinity Mini (26B-A3B)Arcee AI · 26B (3.0B active) 66Good 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. 56.4 tok/s Runs great 65Good 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. 100 tok/s Runs great
Axion 1.0 35BAxion · 35B (3.0B active) 61Good 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. 72.3 tok/s Runs great 61Good 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. 100 tok/s Runs welltight fit
ERNIE 4.5 21B-A3BBaidu · 22B (3.0B active) 64Good 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. 56.4 tok/s Runs great 64Good 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. 79.9 tok/s Runs great
Qwen3 Coder Next (80B-A3B)Alibaba · 80B (3.0B active) 72Great 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. 115 tok/s Runs welltight fit 72Great 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. 78.8 tok/s Runs welloffloads to RAM
UI-Mate 27BTencent · 27B 81Great quality (A) · 81 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. 15.5 tok/s Runs well 81Great quality (A) · 81 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. 24.7 tok/s Runs well
Hunyuan A13B (80B-A13B)Tencent · 80B (13.0B active) 62Good 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. 37.0 tok/s Runs welltight fit 62Good quality (B) · 62 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. 21.1 tok/s Runs welloffloads to RAM
NorthCUA Minibeipo-ai · 35B (3.0B active) 58Good 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. 72.3 tok/s Runs great 58Good 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. 100 tok/s Runs welltight fit
Seed-OSS 36B InstructByteDance · 36B 76Great quality (A) · 76 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. 11.7 tok/s Runs well 76Great quality (A) · 76 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. 18.7 tok/s Runs well
EXAONE 4.5 33BLG AI Research · 34B 77Great quality (A) · 77 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. 12.3 tok/s Runs well 77Great quality (A) · 77 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. 19.7 tok/s Runs well
Hermes 4.3 36BNous Research · 36B 75Great quality (A) · 75 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. 11.7 tok/s Runs well 75Great quality (A) · 75 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. 18.7 tok/s Runs well
Gemma 4 12BGoogle · 12B 78Great quality (A) · 78 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. 35.4 tok/s Runs great 82Great quality (A) · 82 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. 39.2 tok/s Runs great
K2 Horizon 7BInstitute of Foundation Models · 9.0B 77Great quality (A) · 77 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. 38.8 tok/s Runs great 80Great 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. 38.3 tok/s Runs great
ERNIE 4.5 21B-A3B ThinkingBaidu · 22B (3.0B active) 70Great 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. 56.4 tok/s Runs great 70Great 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. 79.9 tok/s Runs great
InternVL3.5 38BShanghai AI Lab · 38B 72Great 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. 11.0 tok/s Runs well 72Great 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. 17.6 tok/s Runs welltight fit
Qwen3-VL 32B InstructAlibaba · 33B 74Great quality (A) · 74 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. 12.7 tok/s Runs well 74Great quality (A) · 74 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. 20.3 tok/s Runs well
Phi-3.5 MoE (42B-A6.6B)Microsoft · 42B (6.6B active) 55Good 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. 38.3 tok/s Runs great 53Fair 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. 76.2 tok/s Runs welltight fit
LFM2 24B-A2BLiquid AI · 24B (2.3B active) 56Good 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. 69.0 tok/s Runs great 55Good 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. 118 tok/s Runs great
gpt-oss 20BOpenAI · 21B (3.6B active) 70Great 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. 88.3 tok/s Runs great 70Great 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. 120 tok/s Runs great
Ling 2.6 Flash (104B-A7.4B)Ant Group (inclusionAI) · 107B (7.4B active) 56Good 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. 72.6 tok/s Runs welltight fit 56Good 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. 40.5 tok/s Slowheavy RAM offload
Solar Open 100BUpstage · 103B (12.0B active) 56Good 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. 49.0 tok/s Runs welltight fit 56Good 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. 26.0 tok/s Slowheavy RAM offload
Maple Preview (20B-A1B)DeepGrove · 20B (1.5B active) 70Great 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. 93.2 tok/s Runs great 70Great 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. 123 tok/s Runs great
Qwen3 32BAlibaba · 33B 72Great 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. 12.9 tok/s Runs well 72Great quality (A) · 72 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. 20.6 tok/s Runs well
SenseNova Loop 9B PreviewSenseTime · 9.7B 74Great quality (A) · 74 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. 43.8 tok/s Runs great 77Great quality (A) · 77 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. 48.6 tok/s Runs great
Ling Mini 2.0 (16B-A1.4B)Ant Group (inclusionAI) · 16B (1.4B active) 52Fair 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. 54.1 tok/s Runs great 52Fair 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. 127 tok/s Runs great
Granite 4.2 30BIBM · 29B 72Great 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. 14.4 tok/s Runs well 72Great quality (A) · 72 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. 23.1 tok/s Runs well
Granite 4.0 H Small (32B-A9B)IBM · 32B (9.0B active) 58Good quality (B) · 58 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. 40.6 tok/s Runs great 60Good 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. 51.0 tok/s Runs great
Llama 3.3 Nemotron Super 49B v1.5NVIDIA · 50B 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 11.0 tok/s Runs well 67Good quality (B) · 67 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. 17.5 tok/s Runs welltight fit
Ornith 1.5 9BDeepReinforce · 9.7B 73Great quality (A) · 73 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. 43.8 tok/s Runs great 76Great quality (A) · 76 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. 48.6 tok/s Runs great
Ling Flash 2.0 (100B-A6B)Ant Group (inclusionAI) · 103B (6.1B active) 53Fair 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. 84.0 tok/s Runs welltight fit 53Fair 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. 49.6 tok/s Runs welloffloads to RAM
Nemotron 3.5 Bolt E4BNVIDIA · 8.0B 70Great 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. 47.8 tok/s Runs great 70Great 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. 76.5 tok/s Runs great
Groot 19B A3B 261023GrootTeam · 19B (3.0B active) 57Good 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. 56.4 tok/s Runs great 57Good 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. 79.9 tok/s Runs great
Sarvam 105BSarvam AI · 106B (10.0B active) 52Fair 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. 57.1 tok/s Runs welltight fit 52Fair quality (C) · 52 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. 31.2 tok/s Slowheavy RAM offload
Kimi-VL A3B Thinking 2506Moonshot AI · 16B (3.0B active) 60Good 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. 56.4 tok/s Runs great 60Good 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. 79.9 tok/s Runs great
Qwen3.5 9BAlibaba · 9.7B 72Great quality (A) · 72 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. 43.8 tok/s Runs great 75Great quality (A) · 75 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. 48.6 tok/s Runs great
TMax 9BAi2 · 9.0B 71Great quality (A) · 71 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 39.0 tok/s Runs great 74Great quality (A) · 74 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. 38.5 tok/s Runs great
Devstral Small 2 (24B)Mistral AI · 24B 72Great quality (A) · 72 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 well 72Great quality (A) · 72 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. 28.2 tok/s Runs well
InternVL3 38BShanghai AI Lab · 38B 66Good 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. 11.0 tok/s Runs well 66Good 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. 17.6 tok/s Runs welltight fit
Ornith 1.0 9BDeepReinforce · 9.7B 71Great quality (A) · 71 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. 43.8 tok/s Runs great 74Great quality (A) · 74 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. 48.6 tok/s Runs great
GLM-4 32B 0414Zhipu AI · 33B 70Great quality (A) · 70 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. 13.0 tok/s Runs well 70Great quality (A) · 70 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. 20.8 tok/s Runs well
Gemma 4 E4BGoogle · 8.0B 68Good 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. 47.8 tok/s Runs great 68Good quality (B) · 68 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. 76.5 tok/s Runs great
Ling 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI) · 7.9B (1.3B active) 60Good 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. 57.2 tok/s Runs great 60Good 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. 79.6 tok/s Runs great
Granite 4.1 30BIBM · 29B 68Good 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. 14.6 tok/s Runs well 68Good quality (B) · 68 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. 23.4 tok/s Runs well
Olmo 3.1 32B InstructAi2 · 32B 68Good 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. 13.1 tok/s Runs well 68Good quality (B) · 68 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. 21.0 tok/s Runs well
EXAONE 4.0 32BLG AI Research · 32B 68Good 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. 13.2 tok/s Runs well 68Good quality (B) · 68 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. 21.1 tok/s Runs well
Qwen2.5 32B InstructAlibaba · 33B 66Good 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. 12.9 tok/s Runs well 66Good quality (B) · 66 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. 20.6 tok/s Runs well
Baichuan M2 32BBaichuan · 33B 66Good 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. 12.9 tok/s Runs well 66Good quality (B) · 66 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. 20.7 tok/s Runs well
Apriel 1.5 15B ThinkerServiceNow · 15B 68Good 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. 28.5 tok/s Runs well 69Good quality (B) · 69 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. 37.6 tok/s Runs great
Gemma 3 27B ITGoogle · 27B 68Good 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. 15.4 tok/s Runs well 68Good quality (B) · 68 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. 24.7 tok/s Runs well
Nanbeige4.2 3BBOSS Zhipin (Nanbeige) · 4.2B 68Good 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. 51.6 tok/s Runs great 68Good 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. 82.6 tok/s Runs great
Qwen2.5-VL 32B InstructAlibaba · 33B 64Good 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. 12.6 tok/s Runs well 64Good quality (B) · 64 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. 20.2 tok/s Runs well
Granite 4.2 8BIBM · 8.8B 65Good quality (B) · 65 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 39.7 tok/s Runs great 68Good quality (B) · 68 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. 39.2 tok/s Runs great
Nous Hermes 2 Mixtral 8x7B DPONous Research · 47B (12.9B active) 49Fair quality (C) · 49 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. 29.5 tok/s Runs well 49Fair 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. 44.6 tok/s Runs welltight fit
Gemma 4 E2BGoogle · 5.1B 62Good 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. 43.1 tok/s Runs great 62Good 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. 69.0 tok/s Runs great
Nemotron Labs Dory 1.0 4BNVIDIA · 4.0B 68Good 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. 54.1 tok/s Runs great 68Good 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. 86.5 tok/s Runs great
Mellum2.1 Thinking (12B-A2.5B)JetBrains · 12B (2.5B active) 70Great quality (A) · 70 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. 64.9 tok/s Runs great 70Great 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. 49.7 tok/s Runs great
Phi-4 Reasoning Vision 15BMicrosoft · 15B 66Good 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. 28.0 tok/s Runs well 67Good quality (B) · 67 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. 37.0 tok/s Runs great
MedGemma 27B Text ITGoogle · 27B 66Good 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. 15.7 tok/s Runs well 66Good quality (B) · 66 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. 25.0 tok/s Runs well
Jamba 1.5 MiniAI21 Labs · 52B (12.0B active) 47Fair quality (C) · 47 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. 31.5 tok/s Runs great 42Fair 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. 59.0 tok/s Runs welltight fit
Devstral Small 1.1 (24B)Mistral AI · 24B 66Good 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. 17.9 tok/s Runs well 66Good quality (B) · 66 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. 28.7 tok/s Runs well
Magistral Small 2507Mistral AI · 24B 66Good 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. 17.9 tok/s Runs well 66Good quality (B) · 66 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. 28.7 tok/s Runs well
QwQ 32BAlibaba · 33B 74Great quality (A) · 74 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. 12.9 tok/s Runs well 74Great quality (A) · 74 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. 20.7 tok/s Runs well
Mixtral 8x7B InstructMistral AI · 47B (12.9B active) 47Fair quality (C) · 47 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. 29.5 tok/s Runs well 47Fair 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. 44.6 tok/s Runs welltight fit
Spark-X2.6 4BSparkLLM · 4.1B 66Good 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. 52.4 tok/s Runs great 66Good 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. 83.8 tok/s Runs great
MiMo V2.6 Distill Qwen 9BXiaomi · 9.4B 75Great quality (A) · 75 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 37.1 tok/s Runs great 77Great quality (A) · 77 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. 49.9 tok/s Runs great
Qwen3 14BAlibaba · 15B 64Good 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. 28.6 tok/s Runs well 65Good quality (B) · 65 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great
Terminal RSI 27BTeriminal-RSI · 28B 64Good 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. 15.2 tok/s Runs well 64Good quality (B) · 64 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. 24.4 tok/s Runs well
Mistral Small 3.2 24BMistral AI · 24B 64Good 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. 17.6 tok/s Runs well 64Good quality (B) · 64 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. 28.2 tok/s Runs well
Magistral Small 2506Mistral AI · 24B 64Good 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. 17.9 tok/s Runs well 64Good quality (B) · 64 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. 28.7 tok/s Runs well
Qwen2 57B-A14B InstructAlibaba · 57B (14.0B active) 47Fair quality (C) · 47 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. 27.4 tok/s Runs well 42Fair 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. 52.0 tok/s Runs welltight fit
OpenReasoning Nemotron 32BNVIDIA · 33B 72Great quality (A) · 72 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. 12.9 tok/s Runs well 72Great 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. 20.7 tok/s Runs well
Skywork OR1 32BSkywork · 33B 72Great quality (A) · 72 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. 12.9 tok/s Runs well 72Great 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. 20.7 tok/s Runs well
LFM2.5 8B-A1BLiquid AI · 8.5B (1.5B active) 52Fair 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. 51.3 tok/s Runs great 52Fair 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. 72.3 tok/s Runs great
Hermes 4 70BNous Research · 71B 62Good 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. 7.7 tok/s Slowtight fit 51Fair quality (C) · 51 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. 12.3 tok/s Runs welloffloads to RAM
Llama 3.3 70B InstructMeta · 71B 62Good 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. 7.7 tok/s Slowtight fit 51Fair quality (C) · 51 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. 12.2 tok/s Runs welloffloads to RAM
Ring Flash 2.0 (100B-A6B)Ant Group (inclusionAI) · 103B (6.1B active) 54Fair 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. 84.0 tok/s Runs welltight fit 54Fair 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. 49.6 tok/s Runs welloffloads to RAM
Falcon-H1 34B InstructTII · 34B 60Good 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. 12.6 tok/s Runs well 60Good quality (B) · 60 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. 20.1 tok/s Runs well
Hemmingway 1.5Hemmingway · 27B 63Good quality (B) · 63 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. 15.7 tok/s Runs well 63Good quality (B) · 63 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. 25.1 tok/s Runs well
InternVL3 78BShanghai AI Lab · 78B 62Good 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. 7.0 tok/s Slowtight fit 62Good quality (B) · 62 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. 3.6 tok/s Slowoffloads to RAM
Kimi-VL A3B InstructMoonshot AI · 16B (3.0B active) 50Fair 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. 56.4 tok/s Runs great 50Fair 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. 79.9 tok/s Runs great
Qwen2.5 72B InstructAlibaba · 73B 61Good quality (B) · 61 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. 7.5 tok/s Slowtight fit 51Fair 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. 10.3 tok/s Runs welloffloads to RAM
Qwen2.5-VL 72B InstructAlibaba · 73B 61Good quality (B) · 61 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. 7.4 tok/s Slowtight fit 61Good quality (B) · 61 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. 4.3 tok/s Slowoffloads to RAM
Olmo 3.1 32B ThinkAi2 · 32B 72Great quality (A) · 72 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. 13.1 tok/s Runs well 72Great 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. 21.0 tok/s Runs well
Hermes 4 14BNous Research · 15B 62Good 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. 28.6 tok/s Runs well 64Good quality (B) · 64 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great
Mistral Small 3.1 24BMistral AI · 24B 62Good 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. 17.6 tok/s Runs well 62Good quality (B) · 62 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. 28.2 tok/s Runs well
DeepSeek R1 Distill Llama 70BDeepSeek · 71B 60Good quality (B) · 60 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. 7.7 tok/s Slowtight fit 50Fair quality (C) · 50 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. 12.3 tok/s Runs welloffloads to RAM
Tülu 3 70BAi2 · 71B 60Good quality (B) · 60 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. 7.7 tok/s Slowtight fit 50Fair quality (C) · 50 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. 12.3 tok/s Runs welloffloads to RAM
EXAONE Deep 32BLG AI Research · 32B 70Great quality (A) · 70 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. 13.2 tok/s Runs well 70Great quality (A) · 70 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 well
Qwen3-VL 8B InstructAlibaba · 8.8B 60Good quality (B) · 60 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. 39.8 tok/s Runs great 62Good 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. 39.3 tok/s Runs great
InternVL3.5 8BShanghai AI Lab · 8.5B 60Good quality (B) · 60 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. 40.9 tok/s Runs great 62Good 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. 40.4 tok/s Runs great
Qwen3.5 4BAlibaba · 4.7B 62Good 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. 46.2 tok/s Runs great 62Good 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. 73.9 tok/s Runs great
Command R (08-2024) 32BCohere · 32B 58Good 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. 13.1 tok/s Runs well 58Good quality (B) · 58 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. 20.9 tok/s Runs well
Phi-4 (14B)Microsoft · 15B 60Good 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. 28.8 tok/s Runs well 62Good quality (B) · 62 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 38.0 tok/s Runs great
Ministral 3 14BMistral AI · 14B 60Good 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. 30.3 tok/s Runs great 62Good quality (B) · 62 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great
InternVL3 14BShanghai AI Lab · 15B 60Good 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. 28.0 tok/s Runs well 60Good quality (B) · 60 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. 44.7 tok/s Runs great
GLM-Z1 32B (0414)Zhipu AI · 33B 70Great quality (A) · 70 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. 13.0 tok/s Runs well 70Great quality (A) · 70 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. 20.8 tok/s Runs well
Mistral Small 3 24B (2501)Mistral AI · 24B 60Good 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. 17.9 tok/s Runs well 60Good quality (B) · 60 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. 28.7 tok/s Runs well
DeepSeek R1 Distill Qwen 32BDeepSeek · 33B 68Good 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. 12.9 tok/s Runs well 68Good 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. 20.6 tok/s Runs well
Llama 3.1 70B InstructMeta · 71B 58Good quality (B) · 58 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. 7.7 tok/s Slowtight fit 49Fair quality (C) · 49 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. 12.2 tok/s Runs welloffloads to RAM
Granite 4.1 8BIBM · 8.8B 58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 39.7 tok/s Runs great 60Good quality (B) · 60 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. 39.2 tok/s Runs great
MiniCPM-V 4.5 8BOpenBMB · 8.7B 58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great 60Good quality (B) · 60 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. 39.6 tok/s Runs great
TMax 4BAi2 · 4.2B 61Good 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. 51.1 tok/s Runs great 61Good quality (B) · 61 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. 81.8 tok/s Runs great
Gemma 2 27B ITGoogle · 27B 58Good 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. 15.5 tok/s Runs well 58Good quality (B) · 58 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. 24.9 tok/s Runs well
Qwen3 8BAlibaba · 8.2B 58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 42.6 tok/s Runs great 60Good quality (B) · 60 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. 42.1 tok/s Runs great
Aya Vision 32BCohere · 33B 57Good 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. 12.8 tok/s Runs well 57Good quality (B) · 57 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. 20.4 tok/s Runs well
Agents-A1 4BInternScience · 4.5B 60Good 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. 47.4 tok/s Runs great 60Good quality (B) · 60 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. 75.9 tok/s Runs great
Aya Expanse 32BCohere · 32B 57Good 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. 13.1 tok/s Runs well 57Good quality (B) · 57 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. 20.9 tok/s Runs well
Qwen2.5 14B InstructAlibaba · 15B 58Good 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. 28.8 tok/s Runs well 60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 38.0 tok/s Runs great
OLMo 2 32B InstructAi2 · 32B 57Good 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. 13.1 tok/s Runs well 57Good quality (B) · 57 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. 21.0 tok/s Runs well
Command R 35B (v01)Cohere · 35B 51Fair quality (C) · 51 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. 12.1 tok/s Runs well 45Fair quality (C) · 45 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. 25.0 tok/s Runs welltight fit
Hermes 3 (Llama 3.1 70B)Nous Research · 71B 57Good quality (B) · 57 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. 7.7 tok/s Slowtight fit 47Fair quality (C) · 47 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. 12.3 tok/s Runs welloffloads to RAM
Voxtral Small 24BMistral AI · 24B 58Good 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. 17.4 tok/s Runs well 58Good quality (B) · 58 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. 27.9 tok/s Runs well
Nemotron Nano 9B v2NVIDIA · 8.9B 58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 39.3 tok/s Runs great 60Good quality (B) · 60 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. 38.7 tok/s Runs great
Dolphin Mistral 24B Venice EditionCognitive Computations · 24B 58Good 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. 17.6 tok/s Runs well 58Good quality (B) · 58 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. 28.2 tok/s Runs well
OpenHands LM 32BAll Hands AI · 33B 66Good 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. 12.9 tok/s Runs well 66Good 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. 20.7 tok/s Runs well
QVQ 72B PreviewAlibaba · 73B 57Good quality (B) · 57 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. 7.4 tok/s Slowtight fit 57Good quality (B) · 57 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. 4.3 tok/s Slowoffloads to RAM
Moonlight 16B-A3B InstructMoonshot AI · 16B (3.0B active) 46Fair 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. 56.4 tok/s Runs great 46Fair 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. 79.9 tok/s Runs great
GLM-4.1V 9B ThinkingZhipu AI · 10B 57Good 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. 41.1 tok/s Runs great 59Good quality (B) · 59 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. 45.6 tok/s Runs great
MiMo-VL 7B RLXiaomi · 8.3B 56Good quality (B) · 56 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 42.0 tok/s Runs great 58Good 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. 41.4 tok/s Runs great
Phi-4 Reasoning Plus (14B)Microsoft · 15B 68Good 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. 28.8 tok/s Runs well 69Good quality (B) · 69 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 38.1 tok/s Runs great
Kimi Dev 72BMoonshot AI · 73B 67Good quality (B) · 67 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. 7.5 tok/s Slowtight fit 56Good quality (B) · 56 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. 10.2 tok/s Runs welloffloads to RAM
Fara 1.5 4BMicrosoft · 4.5B 58Good 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. 47.4 tok/s Runs great 58Good quality (B) · 58 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. 75.9 tok/s Runs great
Gemma 3 12B ITGoogle · 12B 57Good 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. 34.7 tok/s Runs great 59Good quality (B) · 59 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. 38.5 tok/s Runs great
MiniCPM5 2BOpenBMB · 2.5B 60Good quality (B) · 60 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. 85.4 tok/s Runs great 60Good 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. 63.0 tok/s Runs great
Qwen2.5 14B Instruct 1MAlibaba · 15B 57Good 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. 28.6 tok/s Runs well 58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great
Magistral Small 1.2 (24B)Mistral AI · 24B 68Good 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. 17.6 tok/s Runs well 68Good 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. 28.2 tok/s Runs well
Llama 3.1 Nemotron 70B InstructNVIDIA · 71B 55Good quality (B) · 55 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. 7.7 tok/s Slowtight fit 46Fair quality (C) · 46 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. 12.3 tok/s Runs welloffloads to RAM
Apertus v1.5 70BSwiss AI · 72B 55Good quality (B) · 55 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. 7.6 tok/s Slowtight fit 46Fair quality (C) · 46 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. 10.8 tok/s Runs welloffloads to RAM
UI-Mate 9BTencent · 9.4B 67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 37.1 tok/s Runs great 69Good quality (B) · 69 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. 49.9 tok/s Runs great
UI-Venus 2 9BAnt Group (inclusionAI) · 9.4B 67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 37.1 tok/s Runs great 69Good quality (B) · 69 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. 49.9 tok/s Runs great
Dolphin 3.0 R1 Mistral 24BCognitive Computations · 24B 57Good 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. 17.9 tok/s Runs well 57Good quality (B) · 57 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. 28.7 tok/s Runs well
Mage-VL 4.7BMicrosoft · 4.7B 56Good 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. 45.4 tok/s Runs great 56Good quality (B) · 56 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. 72.7 tok/s Runs great
Solar Pro Preview 22BUpstage · 22B 57Good 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. 19.1 tok/s Runs well 57Good quality (B) · 57 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. 30.6 tok/s Runs great
MiMo 7B RLXiaomi · 7.8B 55Good 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. 37.5 tok/s Runs great 56Good quality (B) · 56 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. 44.0 tok/s Runs great
Ministral 3 8BMistral AI · 8.9B 54Fair quality (C) · 54 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 39.2 tok/s Runs great 55Good quality (B) · 55 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. 52.6 tok/s Runs great
Qwen2.5 Coder 32B InstructAlibaba · 33B 63Good quality (B) · 63 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. 12.9 tok/s Runs well 63Good 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. 20.6 tok/s Runs well
Phi-4 Reasoning (14B)Microsoft · 15B 66Good 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. 28.8 tok/s Runs well 67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 38.1 tok/s Runs great
Qwen2 72B InstructAlibaba · 73B 53Fair quality (C) · 53 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. 7.5 tok/s Slowtight fit 44Fair quality (C) · 44 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. 10.2 tok/s Runs welloffloads to RAM
Qwen2-VL 72B InstructAlibaba · 73B 53Fair quality (C) · 53 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. 7.4 tok/s Slowtight fit 53Fair quality (C) · 53 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. 4.3 tok/s Slowoffloads to RAM
Aya 23 35BCohere · 35B 47Fair quality (C) · 47 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. 12.1 tok/s Runs well 42Fair 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. 25.0 tok/s Runs welltight fit
InternVL3 8BShanghai AI Lab · 7.9B 54Fair quality (C) · 54 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. 44.0 tok/s Runs great 56Good quality (B) · 56 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. 43.4 tok/s Runs great
QwQ 32B PreviewAlibaba · 33B 62Good 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. 12.9 tok/s Runs well 62Good 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. 20.7 tok/s Runs well
Qwen3-VL 4B InstructAlibaba · 4.4B 54Fair 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. 48.5 tok/s Runs great 54Fair quality (C) · 54 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. 77.6 tok/s Runs great
Qwen3 4B Instruct 2507Alibaba · 4.0B 54Fair 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. 53.5 tok/s Runs great 54Fair 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. 85.7 tok/s Runs great
LFM3 1.7BLiquid AI · 1.7B 56Good 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. 57.3 tok/s Runs great 56Good 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. 91.7 tok/s Runs great
Llama 3.1 Nemotron Nano 8B v1NVIDIA · 8.0B 52Fair quality (C) · 52 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. 43.5 tok/s Runs great 54Fair quality (C) · 54 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. 42.9 tok/s Runs great
DeepSeek Coder V2 Lite (16B)DeepSeek · 16B (2.4B active) 52Fair 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. 66.9 tok/s Runs great 52Fair 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. 92.8 tok/s Runs great
Granite 4.0 H Tiny (7B-A1B)IBM · 6.9B (1.0B active) 44Fair 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. 69.2 tok/s Runs great 44Fair 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. 93.7 tok/s Runs great
MiniCPM4 8BOpenBMB · 8.2B 52Fair quality (C) · 52 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. 42.6 tok/s Runs great 54Fair quality (C) · 54 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. 42.1 tok/s Runs great
Hunyuan 7B InstructTencent · 7.5B 51Fair 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. 39.1 tok/s Runs great 52Fair 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. 45.9 tok/s Runs great
Apertus 70B InstructSwiss AI · 71B 50Fair 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. 7.7 tok/s Slowtight fit 42Fair quality (C) · 42 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. 12.2 tok/s Runs welloffloads to RAM
DeepSeek V2 Lite ChatDeepSeek · 16B (2.4B active) 40Fair 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. 66.9 tok/s Runs great 40Fair 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. 92.8 tok/s Runs great
Qwen2.5 7B InstructAlibaba · 7.6B 51Fair 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. 38.5 tok/s Runs great 52Fair 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. 45.2 tok/s Runs great
Apriel Nemotron 15B ThinkerServiceNow · 15B 62Good 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. 28.2 tok/s Runs well 64Good quality (B) · 64 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 37.3 tok/s Runs great
AceReason Nemotron 14BNVIDIA · 15B 62Good 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. 28.6 tok/s Runs well 64Good quality (B) · 64 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great
OpenReasoning Nemotron 14BNVIDIA · 15B 62Good 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. 28.6 tok/s Runs well 64Good quality (B) · 64 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great
Qwen2.5 Coder 14B InstructAlibaba · 15B 62Good 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. 28.6 tok/s Runs well 64Good quality (B) · 64 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great
Ministral 3 14B ReasoningMistral AI · 14B 62Good 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. 30.3 tok/s Runs great 64Good quality (B) · 64 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great
Falcon 3 10B InstructTII · 10B 49Fair quality (C) · 49 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. 41.0 tok/s Runs great 51Fair quality (C) · 51 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. 45.5 tok/s Runs great
MiniCPM-o 2.6 8BOpenBMB · 8.7B 50Fair quality (C) · 50 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. 40.3 tok/s Runs great 52Fair 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. 39.7 tok/s Runs great
Olmo 3 7B InstructAi2 · 7.3B 49Fair 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. 40.2 tok/s Runs great 50Fair quality (C) · 50 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. 47.2 tok/s Runs great
Mistral Small 22B (2409)Mistral AI · 22B 51Fair 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. 19.0 tok/s Runs well 51Fair quality (C) · 51 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. 30.4 tok/s Runs great
SenseNova 6.8 Code2VideoSenseTime · 27B 62Good 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. 15.5 tok/s Runs well 62Good 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. 24.7 tok/s Runs well
Devstral Small 2505Mistral AI · 24B 62Good 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. 17.9 tok/s Runs well 62Good 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. 28.7 tok/s Runs well
Qwen2.5-VL 7B InstructAlibaba · 8.3B 50Fair quality (C) · 50 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. 42.1 tok/s Runs great 52Fair 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. 41.5 tok/s Runs great
Granite 4.2 3BIBM · 3.7B 52Fair 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. 58.8 tok/s Runs great 52Fair 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. 43.4 tok/s Runs great
Reka Flash 3.1 (21B)Reka AI · 21B 62Good 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. 20.2 tok/s Runs well 62Good 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. 32.4 tok/s Runs great
DeepSeek R1 0528 Qwen3 8BDeepSeek · 8.2B 60Good quality (B) · 60 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. 42.6 tok/s Runs great 62Good quality (B) · 62 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. 42.1 tok/s Runs great
Mistral Nemo 12B InstructMistral AI · 12B 49Fair 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. 34.7 tok/s Runs great 51Fair quality (C) · 51 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. 38.5 tok/s Runs great
Llama 3 70B InstructMeta · 71B 48Fair quality (C) · 48 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. 7.7 tok/s Slowtight fit 40Fair 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. 12.3 tok/s Runs welloffloads to RAM
Gemma 2 9B ITGoogle · 9.2B 48Fair quality (C) · 48 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. 37.8 tok/s Runs great 49Fair quality (C) · 49 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. 50.8 tok/s Runs great
Yi 1.5 34B Chat01.AI · 34B 47Fair 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. 12.3 tok/s Runs well 47Fair 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. 19.7 tok/s Runs well
Qwen2.5 7B Instruct 1MAlibaba · 7.6B 49Fair 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. 38.5 tok/s Runs great 50Fair quality (C) · 50 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. 45.2 tok/s Runs great
Falcon-H1 7B InstructTII · 7.6B 49Fair 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. 38.7 tok/s Runs great 50Fair quality (C) · 50 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. 45.4 tok/s Runs great
LFM2 8B-A1BLiquid AI · 8.3B (1.5B active) 38Basic 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. 51.3 tok/s Runs great 38Basic 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. 72.3 tok/s Runs great
DeepCoder 14B PreviewAgentica · 15B 60Good quality (B) · 60 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. 28.6 tok/s Runs well 62Good quality (B) · 62 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. 37.8 tok/s Runs great
GLM-4 9B 0414Zhipu AI · 9.4B 49Fair 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. 45.0 tok/s Runs great 51Fair quality (C) · 51 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. 49.9 tok/s Runs great
Qwen3 4BAlibaba · 4.0B 50Fair 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. 53.5 tok/s Runs great 50Fair quality (C) · 50 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. 85.7 tok/s Runs great
NorthCUA Nanobeipo-ai · 9.4B 49Fair 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. 44.9 tok/s Runs great 51Fair quality (C) · 51 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. 49.9 tok/s Runs great
InternVL2.5 8BShanghai AI Lab · 8.1B 48Fair quality (C) · 48 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. 43.2 tok/s Runs great 50Fair quality (C) · 50 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. 42.6 tok/s Runs great
Foundation-Sec 1.1 8B InstructCisco Foundation AI · 8.0B 48Fair quality (C) · 48 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. 43.5 tok/s Runs great 50Fair quality (C) · 50 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. 42.9 tok/s Runs great
Mage-VL-Cowork 4.7BMicrosoft · 4.7B 60Good 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. 45.4 tok/s Runs great 60Good quality (B) · 60 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. 72.7 tok/s Runs great
InternLM3 8B InstructShanghai AI Lab · 8.8B 48Fair quality (C) · 48 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. 39.7 tok/s Runs great 50Fair quality (C) · 50 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. 39.1 tok/s Runs great
Gemma 3n E4BGoogle · 7.9B 46Fair 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. 53.8 tok/s Runs great 46Fair quality (C) · 46 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. 86.1 tok/s Runs great
GLiDE 9BFastino · 7.9B 48Fair quality (C) · 48 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. 44.0 tok/s Runs great 50Fair quality (C) · 50 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. 43.4 tok/s Runs great
Nemotron 3 Nano 4BNVIDIA · 4.0B 50Fair 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. 54.2 tok/s Runs great 50Fair 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. 86.7 tok/s Runs great
Pixtral 12B (2409)Mistral AI · 12B 47Fair 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. 34.1 tok/s Runs great 49Fair quality (C) · 49 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. 37.9 tok/s Runs great
LFM3-VL 2BLiquid AI · 1.9B 50Fair 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. 51.7 tok/s Runs great 50Fair 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. 82.7 tok/s Runs great
DeepSeek R1 Distill Qwen 14BDeepSeek · 15B 58Good 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. 28.6 tok/s Runs well 60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great
Llama 3.2 90B Vision InstructMeta · 89B 46Fair quality (C) · 46 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. 7.8 tok/s Slowtight fit 46Fair quality (C) · 46 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. 4.4 tok/s Slowoffloads to RAM
Codestral 22BMistral AI · 22B 58Good 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. 19.0 tok/s Runs well 58Good 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. 30.4 tok/s Runs great
Hermes 3 (Llama 3.1 8B)Nous Research · 8.0B 46Fair quality (C) · 46 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. 43.5 tok/s Runs great 48Fair quality (C) · 48 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. 42.9 tok/s Runs great
Llama 3.1 8B InstructMeta · 8.0B 46Fair quality (C) · 46 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. 43.5 tok/s Runs great 48Fair quality (C) · 48 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. 42.9 tok/s Runs great
JanusCoder 14BShanghai AI Lab · 15B 58Good 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. 28.6 tok/s Runs well 60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great
GLM-4.6VZhipu AI · 108B (12.0B active) 58Good 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. 41.7 tok/s Runs wellover GPU memory limit 58Good quality (B) · 58 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. 24.4 tok/s Slowheavy RAM offload
MiniCPM-V 2.6 8BOpenBMB · 8.1B 46Fair quality (C) · 46 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. 43.1 tok/s Runs great 48Fair quality (C) · 48 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. 42.5 tok/s Runs great
InternLM2.5 20B ChatShanghai AI Lab · 20B 47Fair 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. 21.3 tok/s Runs well 47Fair 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. 34.1 tok/s Runs great
Falcon 3 7B InstructTII · 7.5B 45Fair quality (C) · 45 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. 39.3 tok/s Runs great 46Fair quality (C) · 46 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. 46.2 tok/s Runs great
Seed-Coder 8B ReasoningByteDance · 8.3B 56Good quality (B) · 56 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 42.3 tok/s Runs great 58Good quality (B) · 58 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. 41.7 tok/s Runs great
GLM-4 9B Chat 1MZhipu AI · 9.5B 45Fair 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. 44.6 tok/s Runs great 47Fair quality (C) · 47 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. 49.5 tok/s Runs great
Granite 3.2 8B InstructIBM · 8.2B 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 42.8 tok/s Runs great 46Fair quality (C) · 46 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. 42.2 tok/s Runs great
Granite 3.3 8BIBM · 8.2B 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 42.8 tok/s Runs great 46Fair quality (C) · 46 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. 42.2 tok/s Runs great
Apertus v1.5 8BSwiss AI · 8.9B 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 39.2 tok/s Runs great 45Fair quality (C) · 45 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. 52.7 tok/s Runs great
GLM-4 9B Chat (2024)Zhipu AI · 9.4B 45Fair 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. 45.0 tok/s Runs great 47Fair quality (C) · 47 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 great
Ministral 8B (2410)Mistral AI · 8.0B 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 43.6 tok/s Runs great 46Fair quality (C) · 46 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. 42.9 tok/s Runs great
DeepHermes 3 Llama 3 8B PreviewNous Research · 8.0B 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 46Fair quality (C) · 46 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. 42.9 tok/s Runs great
Dolphin 3.0 Llama 3.1 8BCognitive Computations · 8.0B 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 46Fair quality (C) · 46 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. 42.9 tok/s Runs great
Tülu 3 8BAi2 · 8.0B 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 46Fair quality (C) · 46 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. 42.9 tok/s Runs great
EXAONE 3.5 7.8BLG AI Research · 7.8B 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 44.7 tok/s Runs great 46Fair quality (C) · 46 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. 44.0 tok/s Runs great
Mistral Small 4 (119B-A6B)Mistral AI · 119B (6.0B active) 56Good 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. 72.2 tok/s Runs wellover GPU memory limit 56Good 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. 42.7 tok/s Slowheavy RAM offload
EXAONE Deep 7.8BLG AI Research · 7.8B 55Good 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. 37.5 tok/s Runs great 56Good 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. 44.0 tok/s Runs great
GLM-4.5VZhipu AI · 108B (12.0B active) 56Good 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. 41.7 tok/s Runs wellover GPU memory limit 56Good 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. 24.4 tok/s Slowheavy RAM offload
Phi-3 Small 8K InstructMicrosoft · 7.4B 43Fair 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. 39.7 tok/s Runs great 44Fair quality (C) · 44 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. 46.6 tok/s Runs great
Qwen1.5 32B ChatAlibaba · 33B 41Fair quality (C) · 41 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 well 41Fair quality (C) · 41 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. 20.8 tok/s Runs well
Qwen2.5-Omni 7BAlibaba · 11B 43Fair 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. 39.4 tok/s Runs great 45Fair quality (C) · 45 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. 43.7 tok/s Runs great
Falcon-H1R 7BTII · 7.6B 55Good quality (B) · 55 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. 38.7 tok/s Runs great 56Good quality (B) · 56 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. 45.4 tok/s Runs great
Qwen3 4B Thinking 2507Alibaba · 4.0B 56Good 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. 53.5 tok/s Runs great 56Good quality (B) · 56 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. 85.7 tok/s Runs great
Seed-Coder 8B InstructByteDance · 8.3B 54Fair quality (C) · 54 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. 42.3 tok/s Runs great 56Good 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. 41.7 tok/s Runs great
LLaVA 1.6 34BLLaVA · 35B 41Fair 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. 12.2 tok/s Runs well 41Fair quality (C) · 41 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. 19.5 tok/s Runs well
Granite 4.1 3BIBM · 3.4B 46Fair 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. 63.3 tok/s Runs great 46Fair 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. 46.7 tok/s Runs great
GLM-Z1 9B (0414)Zhipu AI · 9.4B 55Good 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. 45.0 tok/s Runs great 57Good quality (B) · 57 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 great
Olmo 3 7B ThinkAi2 · 7.3B 53Fair 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. 40.2 tok/s Runs great 54Fair quality (C) · 54 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. 47.2 tok/s Runs great
Granite 3.1 8B InstructIBM · 8.2B 42Fair 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 great 44Fair quality (C) · 44 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. 42.2 tok/s Runs great
North Micro VisionCohere · 2.5B 44Fair 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. 40.0 tok/s Runs great 44Fair 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. 64.0 tok/s Runs great
Phi-3 Medium 128K InstructMicrosoft · 14B 43Fair 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. 30.3 tok/s Runs great 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 40.0 tok/s Runs great
Llama 3.1 Nemotron Nano 4B v1.1NVIDIA · 4.5B 44Fair 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. 47.7 tok/s Runs great 44Fair 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. 76.4 tok/s Runs great
OLMo 2 13B InstructAi2 · 14B 41Fair 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. 30.8 tok/s Runs great 42Fair quality (C) · 42 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 40.7 tok/s Runs great
LLM4Decompile 22B V2LLM4Binary · 22B 55Good 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. 19.0 tok/s Runs well 55Good 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. 30.4 tok/s Runs great
Gemma 3 4B ITGoogle · 4.3B 45Fair 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. 50.1 tok/s Runs great 45Fair quality (C) · 45 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. 80.1 tok/s Runs great
Qwen2 7B InstructAlibaba · 7.6B 43Fair 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. 38.5 tok/s Runs great 44Fair quality (C) · 44 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. 45.2 tok/s Runs great
InternVL2 8BShanghai AI Lab · 8.1B 42Fair 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. 43.2 tok/s Runs great 44Fair quality (C) · 44 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. 42.6 tok/s Runs great
Dolphin 2.9.4 Llama 3.1 8BCognitive Computations · 8.0B 42Fair 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. 43.5 tok/s Runs great 44Fair quality (C) · 44 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. 42.9 tok/s Runs great
Hermes 2 Pro Llama 3 8BNous Research · 8.0B 42Fair 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. 43.5 tok/s Runs great 44Fair quality (C) · 44 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. 42.9 tok/s Runs great
OpenChat 3.6 8BOpenChat · 8.0B 42Fair 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. 43.5 tok/s Runs great 44Fair quality (C) · 44 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. 42.9 tok/s Runs great
Qwen2.5 Coder 7B InstructAlibaba · 7.6B 54Fair 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. 38.5 tok/s Runs great 55Good quality (B) · 55 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. 45.2 tok/s Runs great
GLM-4.5 Air (106B-A12B)Zhipu AI · 110B (12.0B active) 54Fair 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. 41.7 tok/s Runs wellover GPU memory limit 54Fair 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. 23.7 tok/s Slowheavy RAM offload
Aya Vision 8BCohere · 8.6B 42Fair 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. 40.5 tok/s Runs great 44Fair quality (C) · 44 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. 39.9 tok/s Runs great
Phi-4 Multimodal InstructMicrosoft · 5.6B 43Fair 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. 52.7 tok/s Runs great 44Fair 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. 61.8 tok/s Runs great
Phi-4 Mini (3.8B)Microsoft · 3.8B 44Fair 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. 56.1 tok/s Runs great 44Fair 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. 41.3 tok/s Runs great
Qwen2-VL 7B InstructAlibaba · 8.3B 42Fair 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. 42.1 tok/s Runs great 44Fair quality (C) · 44 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. 41.5 tok/s Runs great
Phi-3 Medium (14B)Microsoft · 14B 43Fair 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. 30.3 tok/s Runs great 44Fair quality (C) · 44 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. 40.0 tok/s Runs great
Ministral 3 3BMistral AI · 3.9B 44Fair 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. 55.9 tok/s Runs great 44Fair 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. 41.2 tok/s Runs great
Command R7BCohere · 8.0B 42Fair 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. 43.5 tok/s Runs great 44Fair quality (C) · 44 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. 42.9 tok/s Runs great
MedGemma 4B ITGoogle · 4.3B 44Fair 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. 50.1 tok/s Runs great 44Fair 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. 80.1 tok/s Runs great
OpenReasoning Nemotron 7BNVIDIA · 7.6B 53Fair 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. 38.5 tok/s Runs great 54Fair quality (C) · 54 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. 45.2 tok/s Runs great
Mistral-NeMo-Minitron 8B InstructNVIDIA · 8.4B 40Fair quality (C) · 40 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. 41.5 tok/s Runs great 42Fair quality (C) · 42 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. 41.0 tok/s Runs great
Llama 3.2 11B Vision InstructMeta · 11B 39Basic 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. 39.6 tok/s Runs great 41Fair quality (C) · 41 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. 44.0 tok/s Runs great
Hunyuan 4B InstructTencent · 4.2B 42Fair 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. 51.0 tok/s Runs great 42Fair quality (C) · 42 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. 81.6 tok/s Runs great
Llama 3 8B InstructMeta · 8.0B 40Fair quality (C) · 40 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. 43.5 tok/s Runs great 42Fair quality (C) · 42 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. 42.9 tok/s Runs great
Phi-3.5 Mini InstructMicrosoft · 3.8B 40Fair 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. 56.3 tok/s Runs great 40Fair 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. 41.5 tok/s Runs great
Gemma 3n E2BGoogle · 5.4B 36Basic 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. 49.6 tok/s Runs great 36Basic 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. 79.4 tok/s Runs great
LFM2.5-VL 3BLiquid AI · 3.1B 44Fair 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. 69.0 tok/s Runs great 44Fair 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. 50.9 tok/s Runs great
Jamba Reasoning 3BAI21 Labs · 3.2B 44Fair 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. 67.3 tok/s Runs great 44Fair 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. 49.6 tok/s Runs great
Nemotron 3.5 Super VL 120B-A12BNVIDIA · 124B (12.0B active) 65Good 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. 41.7 tok/s Slowfar over GPU memory limit 65Good quality (B) · 65 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. 22.0 tok/s Slowheavy RAM offload
Command R7B ArabicCohere · 8.0B 40Fair quality (C) · 40 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. 43.5 tok/s Runs great 42Fair quality (C) · 42 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. 42.9 tok/s Runs great
LFM2.5 2.6BLiquid AI · 2.7B 44Fair 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. 79.7 tok/s Runs great 44Fair 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. 58.8 tok/s Runs great
Leanstral 119B-A6BMistral AI · 119B (6.5B active) 51Fair 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. 68.1 tok/s Runs wellover GPU memory limit 51Fair 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. 39.8 tok/s Slowheavy RAM offload
Ornith 1.5 122B-A10BDeepReinforce · 125B (10.0B active) 64Good 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. 48.5 tok/s Slowfar over GPU memory limit 64Good 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. 25.7 tok/s Slowheavy RAM offload
Yi 34B Chat01.AI · 34B 38Basic quality (D) · 38 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. 12.3 tok/s Runs well 38Basic quality (D) · 38 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. 19.7 tok/s Runs well
Foundation-Sec 8B ReasoningCisco Foundation AI · 8.0B 50Fair quality (C) · 50 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. 43.5 tok/s Runs great 52Fair quality (C) · 52 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. 42.9 tok/s Runs great
Qwen3.5 122B-A10BAlibaba · 125B (10.0B active) 64Good 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. 48.5 tok/s Slowfar over GPU memory limit 64Good 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. 25.7 tok/s Slowheavy RAM offload
Phi-3.5 Vision InstructMicrosoft · 4.2B 38Basic 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. 51.9 tok/s Runs great 38Basic quality (D) · 38 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. 83.0 tok/s Runs great
SmolLM3 3BHugging Face · 3.1B 42Fair quality (C) · 42 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. 69.9 tok/s Runs great 42Fair 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. 51.5 tok/s Runs great
Apertus 8B InstructSwiss AI · 8.1B 38Basic quality (D) · 38 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 43.4 tok/s Runs great 40Fair quality (C) · 40 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. 42.8 tok/s Runs great
Aya Expanse 8BCohere · 8.0B 38Basic quality (D) · 38 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 40Fair quality (C) · 40 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. 42.9 tok/s Runs great
AFM 4.5BArcee AI · 4.6B 40Fair 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. 46.6 tok/s Runs great 40Fair 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. 74.5 tok/s Runs great
InternLM2.5 7B ChatShanghai AI Lab · 7.7B 38Basic quality (D) · 38 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 45.1 tok/s Runs great 40Fair quality (C) · 40 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. 44.5 tok/s Runs great
Granite 3.0 8B InstructIBM · 8.2B 38Basic quality (D) · 38 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 42.8 tok/s Runs great 40Fair quality (C) · 40 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. 42.2 tok/s Runs great
Nous Hermes 2 SOLAR 10.7BNous Research · 11B 38Basic 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. 39.4 tok/s Runs great 39Basic quality (D) · 39 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. 43.7 tok/s Runs great
SOLAR 10.7B InstructUpstage · 11B 38Basic 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. 39.4 tok/s Runs great 39Basic quality (D) · 39 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. 43.7 tok/s Runs great
DeepSeek MoE 16B ChatDeepSeek · 16B (2.8B active) 26Basic 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. 59.5 tok/s Runs great 26Basic 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. 83.8 tok/s Runs great
InternLM2 Chat 20BShanghai AI Lab · 20B 39Basic 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. 21.3 tok/s Runs well 39Basic quality (D) · 39 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. 34.1 tok/s Runs great
Qianfan-OCR 4BBaidu · 4.7B 50Fair 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. 45.4 tok/s Runs great 50Fair quality (C) · 50 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. 72.7 tok/s Runs great
Jamba2 3BAI21 Labs · 3.0B 42Fair quality (C) · 42 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. 71.0 tok/s Runs great 42Fair 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. 52.4 tok/s Runs great
Mistral 7B Instruct v0.3Mistral AI · 7.3B 37Basic 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. 40.5 tok/s Runs great 38Basic 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. 47.5 tok/s Runs great
Qwen2.5-Math 72B InstructAlibaba · 73B 48Fair quality (C) · 48 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 7.5 tok/s Slowtight fit 40Fair quality (C) · 40 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 13.2 tok/s Runs welloffloads to RAM
Qwen3.5 2BAlibaba · 2.3B 40Fair 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 great 40Fair 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. 69.9 tok/s Runs great
Zamba2 7B InstructZyphra · 7.4B 37Basic 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. 39.9 tok/s Runs great 38Basic quality (D) · 38 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. 46.8 tok/s Runs great
DeepSeek R1 Distill Llama 8BDeepSeek · 8.0B 48Fair quality (C) · 48 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 50Fair quality (C) · 50 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. 42.9 tok/s Runs great
CogVLM2 Llama 3 Chat 19BZhipu AI · 20B 36Basic 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. 21.7 tok/s Runs well 36Basic quality (D) · 36 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. 34.7 tok/s Runs great
Granite 4.0 Micro (3B)IBM · 3.4B 40Fair 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. 63.3 tok/s Runs great 40Fair 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. 46.7 tok/s Runs great
OLMo 2 7B InstructAi2 · 7.3B 35Basic 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. 40.2 tok/s Runs great 36Basic quality (D) · 36 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. 47.2 tok/s Runs great
Groot 65B A6B 261023GrootTeam · 118B (6.0B active) 49Fair 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. 72.2 tok/s Runs wellover GPU memory limit 49Fair 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. 43.1 tok/s Slowheavy RAM offload
Fara 7BMicrosoft · 8.3B 48Fair quality (C) · 48 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 42.1 tok/s Runs great 50Fair quality (C) · 50 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. 41.5 tok/s Runs great
TMax 2BAi2 · 1.9B 40Fair 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. 52.8 tok/s Runs great 40Fair 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. 84.4 tok/s Runs great
Dolphin 2.9 Llama 3 8BCognitive Computations · 8.0B 36Basic quality (D) · 36 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 38Basic 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. 42.9 tok/s Runs great
Falcon3 Mamba 7B InstructTII · 7.3B 37Basic 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. 40.4 tok/s Runs great 38Basic quality (D) · 38 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. 47.4 tok/s Runs great
Phi-3 Mini 128K InstructMicrosoft · 3.8B 36Basic 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. 56.3 tok/s Runs great 36Basic 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. 41.5 tok/s Runs great
Nemotron 3 Super 120B-A12BNVIDIA · 124B (12.0B active) 61Good 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. 41.7 tok/s Slowfar over GPU memory limit 61Good quality (B) · 61 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. 22.1 tok/s Slowheavy RAM offload
MiniCPM-V 4.7 1BOpenBMB · 1.6B 40Fair 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. 64.0 tok/s Runs great 40Fair 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. 102 tok/s Runs great
EXAONE 3.0 7.8B InstructLG AI Research · 7.8B 36Basic quality (D) · 36 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 44.7 tok/s Runs great 38Basic 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. 44.0 tok/s Runs great
Chandra OCR 2Datalab · 5.3B 48Fair 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. 40.6 tok/s Runs great 48Fair quality (C) · 48 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. 65.0 tok/s Runs great
Hermes 2 Pro Mistral 7BNous Research · 7.2B 35Basic 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. 40.5 tok/s Runs great 36Basic quality (D) · 36 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. 47.6 tok/s Runs great
Starling LM 7B BetaNexusflow · 7.2B 35Basic 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. 40.5 tok/s Runs great 36Basic quality (D) · 36 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. 47.6 tok/s Runs great
MiniCPM3 4BOpenBMB · 4.1B 38Basic 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. 52.9 tok/s Runs great 38Basic 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. 84.6 tok/s Runs great
S5 nanoMaritaca AI · 4.7B 37Basic 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. 46.2 tok/s Runs great 37Basic 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. 73.9 tok/s Runs great
Qwen1.5 14B ChatAlibaba · 14B 28Basic quality (D) · 28 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. 38.6 tok/s Runs great 32Basic quality (D) · 32 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. 39.4 tok/s Runs great
Voxtral Mini 3BMistral AI · 4.7B 36Basic 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. 46.0 tok/s Runs great 36Basic 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. 73.6 tok/s Runs great
LightOnOCR-3 4BLightOn · 4.5B 48Fair 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. 47.4 tok/s Runs great 48Fair 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. 75.9 tok/s Runs great
Phi-3 Vision 128K InstructMicrosoft · 4.2B 34Basic 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. 51.9 tok/s Runs great 34Basic quality (D) · 34 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. 83.0 tok/s Runs great
OpenChat 3.5 (0106)OpenChat · 7.2B 34Basic quality (D) · 34 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. 40.5 tok/s Runs great 35Basic quality (D) · 35 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. 47.6 tok/s Runs great
Phi-3 Mini 4K InstructMicrosoft · 3.8B 36Basic 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. 56.3 tok/s Runs great 36Basic 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. 41.5 tok/s Runs great
Qwen1.5 MoE A2.7B ChatAlibaba · 14B (2.7B active) 24Basic quality (D) · 24 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. 61.2 tok/s Runs great 24Basic 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. 85.9 tok/s Runs great
Yi 1.5 9B Chat01.AI · 8.8B 34Basic quality (D) · 34 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 39.6 tok/s Runs great 35Basic quality (D) · 35 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. 53.2 tok/s Runs great
Granite 4.0 H MicroIBM · 3.2B 38Basic quality (D) · 38 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. 67.5 tok/s Runs great 38Basic 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. 49.8 tok/s Runs great
Llama 4 Scout 17B-16EMeta · 109B (17.0B active) 50Fair quality (C) · 50 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. 30.8 tok/s Runs wellover GPU memory limit 50Fair quality (C) · 50 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. 17.4 tok/s Slowheavy RAM offload
Qwen3-VL 2B InstructAlibaba · 2.1B 36Basic 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. 46.6 tok/s Runs great 36Basic 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. 74.5 tok/s Runs great
OLMoE 1B-7B InstructAi2 · 6.9B (1.3B active) 26Basic 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. 57.2 tok/s Runs great 26Basic 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. 79.6 tok/s Runs great
Mistral 7B Instruct v0.2Mistral AI · 7.2B 33Basic 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. 40.5 tok/s Runs great 34Basic quality (D) · 34 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. 47.6 tok/s Runs great
Nous Hermes 2 Mistral 7B DPONous Research · 7.2B 33Basic 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. 40.5 tok/s Runs great 34Basic quality (D) · 34 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. 47.6 tok/s Runs great
OpenChat 3.5 (1210)OpenChat · 7.2B 33Basic 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. 40.5 tok/s Runs great 34Basic quality (D) · 34 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. 47.6 tok/s Runs great
DeepSeek R1 Distill Qwen 7BDeepSeek · 7.6B 45Fair 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. 38.5 tok/s Runs great 46Fair quality (C) · 46 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. 45.2 tok/s Runs great
WeVisOne-VL 4BTencent · 4.8B 45Fair 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. 44.6 tok/s Runs great 45Fair quality (C) · 45 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. 71.3 tok/s Runs great
Unlimited OCR 2 (3B-A0.6B)Baidu · 3.3B (0.6B active) 44Fair 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. 95.9 tok/s Runs great 44Fair 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. 123 tok/s Runs great
Phi-4 Mini Reasoning (3.8B)Microsoft · 3.8B 46Fair 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. 56.1 tok/s Runs great 46Fair 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. 41.3 tok/s Runs great
Aya 23 8BCohere · 8.0B 32Basic quality (D) · 32 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 34Basic quality (D) · 34 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. 42.9 tok/s Runs great
DeepSeek LLM 67B ChatDeepSeek · 67B 28Basic quality (D) · 28 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. 10.3 tok/s Runs well 28Basic quality (D) · 28 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. 16.5 tok/s Runs welltight fit
DeepSeek Coder 33B InstructDeepSeek · 33B 41Fair quality (C) · 41 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. 12.7 tok/s Runs well 41Fair 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. 20.3 tok/s Runs well
Falcon-H1 3B InstructTII · 3.2B 36Basic 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. 68.3 tok/s Runs great 36Basic 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. 50.4 tok/s Runs great
Llama 3.2 3B InstructMeta · 3.2B 35Basic 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. 67.1 tok/s Runs great 35Basic 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. 49.4 tok/s Runs great
Ling 3.0 Flash (127B-A5B)Ant Group (inclusionAI) · 127B (5.1B active) 57Good 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. 81.2 tok/s Slowfar over GPU memory limit 57Good 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 run
Raon 1 nanoKRAFTON · 3.5B 35Basic 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. 61.0 tok/s Runs great 35Basic 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. 45.0 tok/s Runs great
OpenHermes 2.5 Mistral 7BTeknium · 7.2B 31Basic quality (D) · 31 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. 40.5 tok/s Runs great 32Basic quality (D) · 32 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. 47.6 tok/s Runs great
Starling LM 7B AlphaBerkeley · 7.2B 31Basic quality (D) · 31 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. 40.5 tok/s Runs great 32Basic quality (D) · 32 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. 47.6 tok/s Runs great
CodeGeeX4 All 9BZhipu AI · 9.4B 43Fair 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. 45.0 tok/s Runs great 45Fair quality (C) · 45 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 great
DeepSeek Prover V2 7BDeepSeek · 6.9B 39Basic quality (D) · 39 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. 42.5 tok/s Runs great 40Fair 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. 49.8 tok/s Runs great
RecurrentGemma 9B ITGoogle · 9.6B 32Basic 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. 43.9 tok/s Runs great 33Basic quality (D) · 33 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. 48.7 tok/s Runs great
Qwen2.5-VL 3B InstructAlibaba · 3.8B 34Basic 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. 57.4 tok/s Runs great 34Basic 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. 42.3 tok/s Runs great
MiniCPM5 1BOpenBMB · 1.1B 36Basic 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. 91.9 tok/s Runs great 36Basic 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. 147 tok/s Runs great
Qwen2.5 3B InstructAlibaba · 3.1B 34Basic 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. 69.7 tok/s Runs great 34Basic 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. 51.4 tok/s Runs great
Gemma 1.1 7B ITGoogle · 8.5B 27Basic quality (D) · 27 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 40.9 tok/s Runs great 28Basic quality (D) · 28 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. 40.3 tok/s Runs great
Mistral 7B Instruct v0.1Mistral AI · 7.2B 29Basic quality (D) · 29 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. 40.5 tok/s Runs great 30Basic quality (D) · 30 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. 47.6 tok/s Runs great
Llama 2 70B ChatMeta · 69B 25Basic quality (D) · 25 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. 10.1 tok/s Runs well 25Basic quality (D) · 25 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. 16.1 tok/s Runs welltight fit
LFM2 2.6BLiquid AI · 2.6B 34Basic quality (D) · 34 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. 83.8 tok/s Runs great 34Basic 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. 61.8 tok/s Runs great
Hermes 3 Llama 3.2 3BNous Research · 3.2B 32Basic quality (D) · 32 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. 67.1 tok/s Runs great 32Basic 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. 49.4 tok/s Runs great
Unlimited OCR (3B-A0.6B)Baidu · 3.3B (0.6B active) 40Fair 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. 95.9 tok/s Runs great 40Fair 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. 123 tok/s Runs great
Falcon Mamba 7B InstructTII · 7.3B 29Basic quality (D) · 29 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. 40.4 tok/s Runs great 30Basic quality (D) · 30 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. 47.4 tok/s Runs great
EXAONE 3.5 2.4BLG AI Research · 2.4B 30Basic 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. 41.2 tok/s Runs great 30Basic 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. 65.9 tok/s Runs great
Gemma 7B ITGoogle · 8.5B 25Basic quality (D) · 25 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. 40.9 tok/s Runs great 26Basic 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. 40.3 tok/s Runs great
Qwen1.5 7B ChatAlibaba · 7.7B 25Basic quality (D) · 25 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. 45.2 tok/s Runs great 26Basic 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. 44.6 tok/s Runs great
Qwen3 1.7BAlibaba · 2.0B 30Basic 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. 48.9 tok/s Runs great 30Basic 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. 78.2 tok/s Runs great
Neural Chat 7B v3.3Intel · 7.2B 27Basic quality (D) · 27 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. 40.5 tok/s Runs great 28Basic quality (D) · 28 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. 47.6 tok/s Runs great
Yi Coder 9B Chat01.AI · 8.8B 38Basic quality (D) · 38 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. 39.6 tok/s Runs great 39Basic quality (D) · 39 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. 53.2 tok/s Runs great
LLaVA 1.6 Mistral 7BLLaVA · 7.6B 27Basic quality (D) · 27 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. 38.8 tok/s Runs great 28Basic quality (D) · 28 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. 45.5 tok/s Runs great
Qwen2.5-Omni 3BAlibaba · 5.5B 29Basic quality (D) · 29 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. 53.0 tok/s Runs great 30Basic 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. 62.2 tok/s Runs great
LFM2.5 1.2B InstructLiquid AI · 1.2B 32Basic 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. 84.8 tok/s Runs great 32Basic 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. 136 tok/s Runs great
Granite Code 34B InstructIBM · 34B 38Basic 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. 12.5 tok/s Runs well 38Basic 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. 20.1 tok/s Runs well
Falcon 3 3B InstructTII · 3.2B 30Basic 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. 66.6 tok/s Runs great 30Basic 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. 49.1 tok/s Runs great
Code Llama 34B InstructMeta · 34B 36Basic quality (D) · 36 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. 12.5 tok/s Runs well 36Basic 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. 20.1 tok/s Runs well
Orca 2 13BMicrosoft · 13B 23Basic quality (D) · 23 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. 42.0 tok/s Runs great 27Basic quality (D) · 27 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 42.9 tok/s Runs great
MiniCPM-OCR 1.0 1.3BOpenBMB · 1.3B 42Fair 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. 76.3 tok/s Runs great 42Fair 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. 122 tok/s Runs great
Granite 3.2 2B InstructIBM · 2.5B 30Basic 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. 85.1 tok/s Runs great 30Basic 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. 62.7 tok/s Runs great
Granite 3.3 2BIBM · 2.5B 30Basic 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. 85.1 tok/s Runs great 30Basic 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. 62.7 tok/s Runs great
Yi 1.5 6B Chat01.AI · 6.1B 27Basic quality (D) · 27 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. 48.4 tok/s Runs great 28Basic quality (D) · 28 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. 56.8 tok/s Runs great
EXAONE 4.0 1.2BLG AI Research · 1.3B 30Basic 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. 77.5 tok/s Runs great 30Basic 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. 124 tok/s Runs great
Zephyr 7B BetaHugging Face · 7.2B 25Basic quality (D) · 25 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. 40.5 tok/s Runs great 26Basic quality (D) · 26 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. 47.6 tok/s Runs great
WeVisOne VL 2BTencent · 2.4B 27Basic 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. 40.7 tok/s Runs great 27Basic 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. 65.0 tok/s Runs great
StableLM 2 12B ChatStability AI · 12B 26Basic 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. 34.8 tok/s Runs great 27Basic quality (D) · 27 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 46.0 tok/s Runs great
LLM4Decompile 9B V2LLM4Binary · 8.8B 36Basic quality (D) · 36 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. 39.6 tok/s Runs great 37Basic quality (D) · 37 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. 53.2 tok/s Runs great
PaddleOCR-VL 1.6 0.9BBaidu · 1.0B 42Fair 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. 103 tok/s Runs great 42Fair 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. 165 tok/s Runs great
DeepSeek Coder 6.7B InstructDeepSeek · 6.7B 33Basic 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. 43.5 tok/s Runs great 34Basic quality (D) · 34 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. 51.1 tok/s Runs great
TeleOCRXingChen-AGI · 1.4B 40Fair 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. 69.9 tok/s Runs great 40Fair 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. 112 tok/s Runs great
InternLM2 Math Plus 20BShanghai AI Lab · 20B 38Basic 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. 21.3 tok/s Runs well 38Basic 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. 34.1 tok/s Runs great
Baichuan 2 13B ChatBaichuan · 14B 21Basic quality (D) · 21 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. 39.3 tok/s Runs great 25Basic quality (D) · 25 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 40.2 tok/s Runs great
CodeGemma 7BGoogle · 8.5B 32Basic quality (D) · 32 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 40.9 tok/s Runs great 34Basic 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. 40.3 tok/s Runs great
Llama 2 13B ChatMeta · 13B 21Basic quality (D) · 21 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. 42.0 tok/s Runs great 25Basic quality (D) · 25 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 42.9 tok/s Runs great
StarCoder2 15B InstructBigCode · 16B 38Basic 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. 26.5 tok/s Runs well 38Basic 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. 42.4 tok/s Runs great
Code Llama 70B InstructMeta · 69B 30Basic quality (D) · 30 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. 10.1 tok/s Runs well 30Basic quality (D) · 30 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. 16.1 tok/s Runs welltight fit
Granite 3.1 2B InstructIBM · 2.5B 28Basic 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. 85.1 tok/s Runs great 28Basic 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. 62.7 tok/s Runs great
Gemma 2 2BGoogle · 2.6B 28Basic 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. 82.5 tok/s Runs great 28Basic 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. 60.8 tok/s Runs great
Granite 4.0 H 1BIBM · 1.5B 28Basic 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. 67.9 tok/s Runs great 28Basic 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. 109 tok/s Runs great
LLM4Decompile 6.7B V2LLM4Binary · 6.7B 31Basic quality (D) · 31 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. 43.5 tok/s Runs great 32Basic 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. 51.1 tok/s Runs great
Laguna S 2.1 (118B-A8B)Poolside · 118B (8.0B active) 60Good 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. 58.0 tok/s Slowfar over GPU memory limit 60Good quality (B) · 60 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. 32.0 tok/s Slowheavy RAM offload
Codestral Mamba 7BMistral AI · 7.3B 35Basic 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. 40.2 tok/s Runs great 36Basic quality (D) · 36 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. 47.2 tok/s Runs great
Qwen2.5-Math 7B InstructAlibaba · 7.6B 35Basic 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. 38.5 tok/s Runs great 36Basic quality (D) · 36 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. 45.2 tok/s Runs great
SmolVLM2 2.2B InstructHugging Face · 2.3B 24Basic 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. 44.1 tok/s Runs great 24Basic 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. 70.5 tok/s Runs great
Granite Vision 3.2 2BIBM · 3.0B 26Basic 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. 72.2 tok/s Runs great 26Basic 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. 53.3 tok/s Runs great
Command A (111B)Cohere · 111B 56Good 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. 5.3 tok/s Slowover GPU memory limit 56Good 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. 2.8 tok/s Very slowheavy RAM offload
Mathstral 7BMistral AI · 7.3B 33Basic quality (D) · 33 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. 40.5 tok/s Runs great 34Basic quality (D) · 34 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. 47.5 tok/s Runs great
Orca 2 7BMicrosoft · 6.7B 21Basic quality (D) · 21 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. 43.5 tok/s Runs great 22Basic quality (D) · 22 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. 51.1 tok/s Runs great
Code Llama 13B InstructMeta · 13B 28Basic 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. 32.5 tok/s Runs great 29Basic quality (D) · 29 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 42.9 tok/s Runs great
Falcon-H1 1.5B InstructTII · 1.6B 26Basic 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. 64.0 tok/s Runs great 26Basic 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. 102 tok/s Runs great
Ling 3.0 flash SanteAnt Group (inclusionAI) · 127B (5.1B active) 47Fair 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. 81.2 tok/s Slowfar over GPU memory limit 47Fair 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. — Won't run
Granite 3.0 2B InstructIBM · 2.6B 26Basic 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. 81.8 tok/s Runs great 26Basic 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. 60.3 tok/s Runs great
SQLCoder 7B v2Defog · 6.7B 29Basic quality (D) · 29 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. 43.5 tok/s Runs great 30Basic 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. 51.1 tok/s Runs great
LLaVA 1.5 13BLLaVA · 13B 18Basic quality (D) · 18 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. 40.9 tok/s Runs great 21Basic quality (D) · 21 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 41.9 tok/s Runs great
Qwen2-VL 2B InstructAlibaba · 2.2B 24Basic 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. 44.9 tok/s Runs great 24Basic 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. 71.8 tok/s Runs great
WizardLM 13B v1.2WizardLM · 13B 18Basic quality (D) · 18 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. 42.0 tok/s Runs great 21Basic quality (D) · 21 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 42.9 tok/s Runs great
Qwen2.5 Coder 3B InstructAlibaba · 3.1B 36Basic 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. 69.7 tok/s Runs great 36Basic 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. 51.4 tok/s Runs great
LFM2 1.2BLiquid AI · 1.2B 26Basic 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. 84.8 tok/s Runs great 26Basic 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. 136 tok/s Runs great
SmolVLM 2.2B InstructHugging Face · 2.3B 22Basic 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. 44.1 tok/s Runs great 22Basic 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. 70.5 tok/s Runs great
Baichuan 2 7B ChatBaichuan · 7.5B 19Basic quality (D) · 19 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. 39.1 tok/s Runs great 20Basic quality (D) · 20 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. 45.9 tok/s Runs great
Llama 2 7B ChatMeta · 6.7B 19Basic quality (D) · 19 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. 43.5 tok/s Runs great 20Basic quality (D) · 20 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. 51.1 tok/s Runs great
Qwen3.5 0.8BAlibaba · 0.9B 26Basic 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. 114 tok/s Runs great 26Basic 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. 182 tok/s Runs great
Granite 3.1 3B-A800M InstructIBM · 3.3B (0.8B active) 20Basic 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. 80.4 tok/s Runs great 20Basic 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. 106 tok/s Runs great
Qwen2.5 1.5B InstructAlibaba · 1.5B 24Basic 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. 64.4 tok/s Runs great 24Basic 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. 103 tok/s Runs great
LFM2-VL 1.6BLiquid AI · 1.6B 24Basic 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. 62.8 tok/s Runs great 24Basic 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. 100 tok/s Runs great
Granite Code 8B Instruct (128K)IBM · 8.1B 31Basic quality (D) · 31 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 43.4 tok/s Runs great 32Basic quality (D) · 32 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. 42.8 tok/s Runs great
Nemotron Mini 4B InstructNVIDIA · 4.2B 22Basic 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. 51.4 tok/s Runs great 22Basic quality (D) · 22 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. 82.2 tok/s Runs great
Granite Code 20B InstructIBM · 20B 34Basic 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. 21.1 tok/s Runs well 34Basic 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. 33.7 tok/s Runs great
Vicuna 13B v1.5LMSYS · 13B 16Basic quality (D) · 16 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. 42.0 tok/s Runs great 19Basic quality (D) · 19 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 42.9 tok/s Runs great
InternLM2 Math Plus 7BShanghai AI Lab · 7.7B 31Basic quality (D) · 31 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 45.1 tok/s Runs great 32Basic 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. 44.5 tok/s Runs great
Hunyuan 1.8B InstructTencent · 1.8B 22Basic 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. 55.4 tok/s Runs great 22Basic 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. 88.7 tok/s Runs great
DeepSeek LLM 7B ChatDeepSeek · 6.9B 17Basic quality (D) · 17 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 42.5 tok/s Runs great 18Basic quality (D) · 18 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. 49.8 tok/s Runs great
Granite 3.0 3B-A800M InstructIBM · 3.4B (0.8B active) 18Basic 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. 80.4 tok/s Runs great 18Basic 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. 106 tok/s Runs great
Zamba2 2.7B InstructZyphra · 2.7B 22Basic 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. 80.9 tok/s Runs great 22Basic 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. 59.7 tok/s Runs great
Yi 6B Chat01.AI · 6.1B 19Basic quality (D) · 19 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 48.4 tok/s Runs great 20Basic 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. 56.8 tok/s Runs great
SmolLM2 1.7B InstructHugging Face · 1.7B 20Basic 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. 58.0 tok/s Runs great 20Basic 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. 92.8 tok/s Runs great
Llama 3.2 1B InstructMeta · 1.2B 22Basic 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. 80.0 tok/s Runs great 22Basic 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. 128 tok/s Runs great
LLaVA 1.5 7BLLaVA · 7.1B 15Basic quality (D) · 15 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 41.6 tok/s Runs great 16Basic quality (D) · 16 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. 48.8 tok/s Runs great
Command R+ (08-2024) 104BCohere · 104B 49Fair quality (C) · 49 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. 5.7 tok/s Slowover GPU memory limit 49Fair 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. 3.1 tok/s Slowheavy RAM offload
Code Llama 7B InstructMeta · 6.7B 23Basic quality (D) · 23 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 24Basic 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. 51.1 tok/s Runs great
InternLM2.5 1.8B ChatShanghai AI Lab · 1.9B 18Basic 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. 52.5 tok/s Runs great 18Basic 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. 84.0 tok/s Runs great
StarCoder2 15B (base)BigCode · 16B 26Basic quality (D) · 26 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 34.2 tok/s Runs great 30Basic quality (D) · 30 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. 42.4 tok/s Runs great
Gemma 3 1BGoogle · 1.0B 20Basic 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. 99.2 tok/s Runs great 20Basic 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. 159 tok/s Runs great
WizardMath 7B v1.1WizardLM · 7.2B 25Basic quality (D) · 25 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 40.5 tok/s Runs great 26Basic quality (D) · 26 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. 47.6 tok/s Runs great
Vicuna 7B v1.5LMSYS · 6.7B 13Basic quality (D) · 13 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 14Basic quality (D) · 14 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. 51.1 tok/s Runs great
GLiDE 2BFastino · 1.9B 17Basic 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. 52.8 tok/s Runs great 17Basic 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. 84.4 tok/s Runs great
OLMo 7B InstructAi2 · 6.9B 13Basic quality (D) · 13 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 42.6 tok/s Runs great 14Basic quality (D) · 14 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. 50.0 tok/s Runs great
StableLM Zephyr 3BStability AI · 2.8B 16Basic 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. 76.9 tok/s Runs great 16Basic 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. 56.7 tok/s Runs great
Command A Reasoning (111B)Cohere · 111B 57Good quality (B) · 57 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. 5.3 tok/s Slowover GPU memory limit 57Good quality (B) · 57 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. 2.8 tok/s Very slowheavy RAM offload
Falcon 3 1B InstructTII · 1.7B 16Basic 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. 59.4 tok/s Runs great 16Basic 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. 95.0 tok/s Runs great
Phi-2 2.7BMicrosoft · 2.8B 16Basic 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. 77.4 tok/s Runs great 16Basic 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. 57.1 tok/s Runs great
Spark X2.6 1.7BSparkLLM · 1.7B 16Basic 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. 58.0 tok/s Runs great 16Basic 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. 92.8 tok/s Runs great
LFM2 700MLiquid AI · 0.7B 18Basic 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. 134 tok/s Runs great 18Basic 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. 214 tok/s Runs great
Qwen2 1.5B InstructAlibaba · 1.5B 16Basic 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. 64.4 tok/s Runs great 16Basic 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. 103 tok/s Runs great
StarCoder2 7BBigCode · 7.2B 23Basic quality (D) · 23 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 40.9 tok/s Runs great 24Basic 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. 48.0 tok/s Runs great
InternLM 7BShanghai AI Lab · 7.3B 11Basic quality (D) · 11 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great 12Basic quality (D) · 12 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. 47.0 tok/s Runs great
Command R+ 104B (04-2024)Cohere · 104B 44Fair quality (C) · 44 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. 5.7 tok/s Slowover GPU memory limit 44Fair 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. 3.1 tok/s Slowheavy RAM offload
DeepScaleR 1.5B PreviewAgentica · 1.8B 26Basic 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. 55.7 tok/s Runs great 26Basic 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. 89.2 tok/s Runs great
Qwen2.5 Coder 1.5B InstructAlibaba · 1.5B 26Basic 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. 64.4 tok/s Runs great 26Basic 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. 103 tok/s Runs great
SmolLM 1.7B InstructHugging Face · 1.7B 14Basic 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. 58.0 tok/s Runs great 14Basic 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. 92.8 tok/s Runs great
OLMo 2 1B InstructAi2 · 1.5B 14Basic 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. 67.0 tok/s Runs great 14Basic 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. 107 tok/s Runs great
Falcon 40B InstructTII · 42B 11Basic quality (D) · 11 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. 16.6 tok/s Runs well 11Basic quality (D) · 11 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. 26.6 tok/s Runs well
StarCoder 15BBigCode · 16B 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 34.6 tok/s Runs great 24Basic quality (D) · 24 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 great
Qwen3 0.6BAlibaba · 0.8B 14Basic 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. 132 tok/s Runs great 14Basic 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. 212 tok/s Runs great
Mistral Medium 3.5 (128B)Mistral AI · 128B 56Good quality (B) · 56 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. 4.6 tok/s Slowfar over GPU memory limit 56Good 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 run
Mistral Large 2.1 (2411)Mistral AI · 123B 56Good quality (B) · 56 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. 4.8 tok/s Slowfar over GPU memory limit 56Good 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 run
Granite Code 3B Instruct (128K)IBM · 3.5B 20Basic 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. 61.9 tok/s Runs great 20Basic 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. 45.6 tok/s Runs great
Falcon-H1 0.5B InstructTII · 0.5B 14Basic 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. 191 tok/s Runs great 14Basic 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. 305 tok/s Runs great
Gemma 2B ITGoogle · 2.5B 12Basic quality (D) · 12 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. 85.8 tok/s Runs great 12Basic 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. 63.2 tok/s Runs great
DeepSeek R1 Distill Qwen 1.5BDeepSeek · 1.8B 22Basic 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. 55.7 tok/s Runs great 22Basic 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. 89.2 tok/s Runs great
Stable Code Instruct 3BStability AI · 2.8B 20Basic quality (D) · 20 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. 76.9 tok/s Runs great 20Basic 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. 56.7 tok/s Runs great
LFM2.5 350MLiquid AI · 0.4B 14Basic 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. 283 tok/s Runs great 14Basic 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. 453 tok/s Runs great
Mistral Large 2 (123B)Mistral AI · 123B 54Fair quality (C) · 54 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. 4.8 tok/s Slowfar over GPU memory limit 54Fair 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 run
Pixtral Large 124B (2411)Mistral AI · 124B 54Fair quality (C) · 54 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. 4.8 tok/s Slowfar over GPU memory limit 54Fair 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 run
StableLM 2 1.6B ChatStability AI · 1.6B 10Basic 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. 60.5 tok/s Runs great 10Basic 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. 96.8 tok/s Runs great
StableLM 2 Zephyr 1.6BStability AI · 1.6B 10Basic 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. 60.5 tok/s Runs great 10Basic 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. 96.8 tok/s Runs great
d1 2BLiquid AI · 1.9B 21Basic 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. 51.7 tok/s Runs great 21Basic 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. 82.7 tok/s Runs great
LFM2-VL 450MLiquid AI · 0.5B 12Basic 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. 220 tok/s Runs great 12Basic 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. 353 tok/s Runs great
LFM2 350MLiquid AI · 0.4B 12Basic 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. 283 tok/s Runs great 12Basic 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. 453 tok/s Runs great
Granite 4.0 H 350MIBM · 0.3B 12Basic 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. 292 tok/s Runs great 12Basic 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. 467 tok/s Runs great
GLiDE 0.8BFastino · 0.8B 11Basic 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. 132 tok/s Runs great 11Basic 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. 212 tok/s Runs great
Qwen2.5-Math 1.5B InstructAlibaba · 1.5B 20Basic 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. 64.4 tok/s Runs great 20Basic 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. 103 tok/s Runs great
Falcon 7B InstructTII · 7.2B 5Basic quality (D) · 5 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 40.6 tok/s Runs great 6Basic quality (D) · 6 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. 47.7 tok/s Runs great
SmolVLM 500M InstructHugging Face · 0.5B 10Basic 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. 195 tok/s Runs great 10Basic 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. 311 tok/s Runs great
Qwen2.5 0.5B InstructAlibaba · 0.5B 10Basic 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. 202 tok/s Runs great 10Basic 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. 324 tok/s Runs great
StarCoder2 3BBigCode · 3.0B 18Basic quality (D) · 18 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 71.0 tok/s Runs great 18Basic 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. 52.4 tok/s Runs great
LFM2.5 230MLiquid AI · 0.2B 10Basic 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. 431 tok/s Runs great 10Basic 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. 690 tok/s Runs great
Qwen1.5 110B ChatAlibaba · 111B 36Basic quality (D) · 36 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 5.3 tok/s Slowover GPU memory limit 36Basic 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. 2.6 tok/s Very slowheavy RAM offload
Hunyuan 0.5B InstructTencent · 0.5B 8Basic 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. 184 tok/s Runs great 8Basic 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. 294 tok/s Runs great
Yi Coder 1.5B Chat01.AI · 1.5B 16Basic 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. 67.0 tok/s Runs great 16Basic 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. 107 tok/s Runs great
Devstral 2 (123B)Mistral AI · 125B 60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 4.7 tok/s Slowfar over GPU memory limit 60Good 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 run
SmolLM2 360M InstructHugging Face · 0.4B 8Basic 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. 276 tok/s Runs great 8Basic 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. 441 tok/s Runs great
TinyLlama 1.1B ChatTinyLlama · 1.1B 6Basic 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. 90.2 tok/s Runs great 6Basic 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. 144 tok/s Runs great
Qwen2 0.5B InstructAlibaba · 0.5B 6Basic 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. 202 tok/s Runs great 6Basic 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. 324 tok/s Runs great
ERNIE 4.5 0.3BBaidu · 0.4B 6Basic 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 great 6Basic 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. 441 tok/s Runs great
SmolVLM 256M InstructHugging Face · 0.3B 6Basic 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. 382 tok/s Runs great 6Basic 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. 610 tok/s Runs great
Gemma 3 270MGoogle · 0.3B 6Basic 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. 367 tok/s Runs great 6Basic 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. 588 tok/s Runs great
CodeGemma 2BGoogle · 2.5B 14Basic quality (D) · 14 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 85.8 tok/s Runs great 14Basic 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. 63.2 tok/s Runs great
SmolLM 360M InstructHugging Face · 0.4B 5Basic 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. 276 tok/s Runs great 5Basic 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. 441 tok/s Runs great
DeepSeek Coder 1.3B InstructDeepSeek · 1.4B 12Basic 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. 73.5 tok/s Runs great 12Basic 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. 118 tok/s Runs great
LLM4Decompile 1.3B V2LLM4Binary · 1.4B 12Basic 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. 73.5 tok/s Runs great 12Basic 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. 118 tok/s Runs great
surya ocr 2.5Datalab · 0.7B 15Basic 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. 144 tok/s Runs great 15Basic 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. 230 tok/s Runs great
SmolLM2 135M InstructHugging Face · 0.1B 4Basic 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. 763 tok/s Runs great 4Basic 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. 1,221 tok/s Runs great
Falcon-H1 Tiny 90M InstructTII · 0.1B 3Basic 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. 1,102 tok/s Runs great 3Basic 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. 1,764 tok/s Runs great
SmolLM 135M InstructHugging Face · 0.1B 2Basic 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. 763 tok/s Runs great 2Basic 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. 1,221 tok/s Runs great
Qwen2.5 Coder 0.5B InstructAlibaba · 0.5B 8Basic 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. 202 tok/s Runs great 8Basic 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. 324 tok/s Runs great
gpt-oss 120BOpenAI · 117B (5.1B active) 84Great 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 run 84Great 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 run
Kimi K3.1 Pro (2.8T)Moonshot AI · 2,780B (104.0B active) 69Good 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 run 69Good 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 run
DeepSeek V4.1 Flash 1017 (552B-A16B)DeepSeek · 763B (16.0B active) 68Good 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 run 68Good 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 run
GLM-5.3 (753B-A40B)Zhipu AI · 753B (40.0B active) 68Good 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 run 68Good 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 run
Qwen3.8 Max (2.4T-A95B)Alibaba · 2,446B (95.0B active) 68Good 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 run 68Good 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 run
Kimi K3 (2.8T)Moonshot AI · 2,780B (104.0B active) 68Good 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 run 68Good 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 run
LongCat 2.5 (1.6T-A48B)Meituan · 1,780B (48.0B active) 68Good 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 run 68Good 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 run
MiMo V2.6 Pro (1T-A42B)Xiaomi · 1,024B (42.0B active) 68Good 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 run 68Good 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 run
Ling 3.1 Flash 1019 (560B-A25B)Ant Group (inclusionAI) · 572B (25.0B active) 68Good 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 run 68Good 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 run
MiniMax M3.1 Flash (428B-A23B)MiniMax · 429B (23.0B active) 67Good 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 run 67Good 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 run
Nex N2.6 (321B-A18B)Nex-AGI · 321B (18.0B active) 67Good 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 run 67Good 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 run
Step 5 Preview (600B-A27B)StepFun · 604B (27.0B active) 67Good 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 run 67Good 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 run
GLM-5.3 Flash (320B-A18B)Zhipu AI · 321B (18.0B active) 67Good 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 run 67Good 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 run
MiMo V2.6 Flash (310B-A15B)Xiaomi · 311B (15.0B active) 67Good 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 run 67Good 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 run
DeepSeek V4.1 Flash (552B-A16B)DeepSeek · 763B (16.0B active) 67Good 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 run 67Good 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 run
Mistral Large 4 (1T-A52B)Mistral AI · 1,053B (52.0B active) 67Good 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 run 67Good 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 run
Qwen3.8 Flash Next (125B-A6B)Alibaba · 180B (6.0B active) 67Good 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 run 67Good 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 run
GLM-5.2 (753B-A40B)Zhipu AI · 753B (40.0B active) 67Good 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 run 67Good 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 run
Hunyuan Hy4 Preview (780B)Tencent · 780B (55.0B active) 67Good 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 run 67Good 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 run
Muse Spark Open (816B-A42B)Meta · 822B (42.0B active) 67Good 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 run 67Good 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 run
DeepSeek V4 Pro (1.6T-A49B)DeepSeek · 1,651B (49.0B active) 67Good 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 run 67Good 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 run
Kimi K2.6 (1T)Moonshot AI · 1,027B (32.0B active) 66Good 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 run 66Good 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 run
Ling 3.1 Flash (560B-A25B)Ant Group (inclusionAI) · 572B (25.0B active) 66Good 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 run 66Good 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 run
MiMo V2.5 Pro (1T-A42B)Xiaomi · 1,023B (42.0B active) 66Good 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 run 66Good 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 run
Intern-S2 (397B-A17B)Shanghai AI Lab · 403B (17.0B active) 66Good 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 run 66Good 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 run
GLM-5.1 (744B-A40B)Zhipu AI · 754B (40.0B active) 66Good 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 run 66Good 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 run
Nex N2 Pro (397B-A17B)Nex-AGI · 397B (17.0B active) 66Good 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 run 66Good 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 run
DeepSeek V4 Pro (April 2026)DeepSeek · 1,599B (49.0B active) 66Good 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 run 66Good 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 run
Naive N0.5 Flash (309B-A15.5B)Naive AI · 309B (15.5B active) 66Good 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 run 66Good 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 run
Qwen3.5 397B-A17BAlibaba · 403B (17.0B active) 66Good 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 run 66Good 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 run
MiniMax M3 (427B)MiniMax · 427B (25.0B active) 66Good 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 run 66Good 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 run
GLM-5 (744B-A40B)Zhipu AI · 754B (40.0B active) 66Good 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 run 66Good 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 run
K2-Horizon (375B-A23B)Institute of Foundation Models · 379B (23.0B active) 66Good 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 run 66Good 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 run
Hunyuan Hy3 (295B-A21B)Tencent · 299B (21.0B active) 66Good 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 run 66Good 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 run
Beam 1.0 (501B-A23B)Reflection AI · 501B (23.4B active) 66Good 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 run 66Good 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 run
Kimi K2.5 (1T)Moonshot AI · 1,027B (32.0B active) 66Good 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 run 66Good 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 run
Kimi K2.7 Code (1T)Moonshot AI · 1,027B (32.0B active) 66Good 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 run 66Good 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 run
DeepSeek V4 Flash (284B-A13B)DeepSeek · 304B (13.0B active) 65Good 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 run 65Good 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 run
MiMo V2.5 (310B-A15B)Xiaomi · 311B (15.0B active) 65Good 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 run 65Good 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 run
Ornith 1.5 397B-A17BDeepReinforce · 403B (17.0B active) 65Good 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 run 65Good 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 run
DeepSeek V3.2 (671B)DeepSeek · 685B (37.0B active) 65Good 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 run 65Good 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 run
Inkling Small (276B-A12B)Thinking Machines Lab · 266B (12.0B active) 65Good 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 run 65Good 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 run
GLM-4.7 (355B-A32B)Zhipu AI · 358B (32.0B active) 65Good 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 run 65Good 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 run
Inkling (975B-A41B)Thinking Machines Lab · 952B (41.0B active) 65Good 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 run 65Good 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 run
MiniMax M2.7 (230B-A10B)MiniMax · 229B (10.0B active) 65Good 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 run 65Good 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 run
Step 3.7 Flash (198B-A11B)StepFun · 201B (11.0B active) 65Good 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 run 65Good 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 run
Nemotron 3 Ultra 550B-A55BNVIDIA · 561B (55.0B active) 65Good 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 run 65Good 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 run
DeepSeek R1 0528 (671B)DeepSeek · 685B (37.0B active) 65Good 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 run 65Good 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 run
Kimi K2 Thinking (1T)Moonshot AI · 1,026B (32.0B active) 65Good 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 run 65Good 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 run
DeepSeek V3.2 ExpDeepSeek · 685B (37.0B active) 64Good 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 run 64Good 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 run
Ling 2.6 1TAnt Group (inclusionAI) · 1,025B (63.0B active) 64Good 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 run 64Good 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 run
MiniMax M2.5 (230B-A10B)MiniMax · 229B (10.0B active) 64Good 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 run 64Good 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 run
DeepSeek R1 (671B)DeepSeek · 671B (37.0B active) 64Good 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 run 64Good 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 run
DeepSeek V4 Flash (April 2026)DeepSeek · 291B (13.0B active) 64Good 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 run 64Good 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 run
Step 3.5 Flash (196B-A11B)StepFun · 199B (11.0B active) 64Good 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 run 64Good 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 run
DeepSeek V3.1 TerminusDeepSeek · 685B (37.0B active) 64Good 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 run 64Good 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 run
DeepSeek V3.1 (671B)DeepSeek · 685B (37.0B active) 63Good 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 run 63Good 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 run
Kimi K2 Instruct 0905 (1T)Moonshot AI · 1,026B (32.0B active) 63Good 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 run 63Good 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 run
MiniMax M2.1 (230B-A10B)MiniMax · 229B (10.0B active) 63Good 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 run 63Good 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 run
Qwen3 235B-A22B Thinking 2507Alibaba · 235B (22.0B active) 63Good 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 run 63Good 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 run
Qwen3 Coder 480B-A35BAlibaba · 480B (35.0B active) 63Good 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 run 63Good 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 run
MiMo V2 Flash (309B-A15B)Xiaomi · 310B (15.0B active) 63Good 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 run 63Good 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 run
Ling 1TAnt Group (inclusionAI) · 1,000B (50.0B active) 63Good 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 run 63Good 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 run
Mistral Large 3 (675B)Mistral AI · 675B (41.0B active) 63Good 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 run 63Good 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 run
Qwen3 235B-A22B Instruct 2507Alibaba · 235B (22.0B active) 63Good 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 run 63Good 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 run
Solar Open 2 250BUpstage · 250B (15.0B active) 63Good 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 run 63Good 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 run
Kimi K2 Instruct (July 2025)Moonshot AI · 1,026B (32.0B active) 62Good 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 run 62Good 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 run
MiniMax M2 (230B-A10B)MiniMax · 229B (10.0B active) 62Good 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 run 62Good 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 run
Qwen3-VL 235B-A22B InstructAlibaba · 236B (22.0B active) 62Good 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 run 62Good 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 run
Command A+ (218B-A25B)Cohere · 219B (25.0B active) 61Good 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 run 61Good 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 run
K-EXAONE 236B-A23BLG AI Research · 237B (23.0B active) 61Good 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 run 61Good 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 run
LongCat Flash Chat (560B)Meituan · 562B (27.0B active) 61Good 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 run 61Good 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 run
Qwen3 235B-A22BAlibaba · 235B (22.0B active) 61Good 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 run 61Good 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 run
InternVL3.5 241B-A28BShanghai AI Lab · 241B (28.0B active) 60Good 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 run 60Good 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 run
Llama 3.1 Nemotron Ultra 253B v1NVIDIA · 253B 60Good 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 run 60Good 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 run
Baichuan M3 235B-A22BBaichuan · 235B (22.0B active) 58Good 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 run 58Good 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 run
GLM-4.6 (355B-A32B)Zhipu AI · 357B (32.0B active) 58Good 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 run 58Good 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 run
DeepSeek V3 0324 (671B)DeepSeek · 685B (37.0B active) 58Good 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 run 58Good 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 run
MiniMax-M1 80KMiniMax · 456B (45.9B active) 58Good 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 run 58Good 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 run
GLM-4.5 (355B-A32B)Zhipu AI · 358B (32.0B active) 57Good 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 run 57Good 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 run
MiniMax-M1 40KMiniMax · 456B (45.9B active) 57Good 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 run 57Good 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 run
Trinity Large Thinking (400B-A13B)Arcee AI · 399B (13.0B active) 56Good 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 run 56Good 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 run
ERNIE 4.5 300B-A47BBaidu · 300B (47.0B active) 56Good 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 run 56Good 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 run
Hermes 4 405BNous Research · 406B 56Good 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 run 56Good 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 run
NorthCUA Probeipo-ai · 397B (17.0B active) 54Fair 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 run 54Fair 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 run
dots.llm1 Instructrednote · 143B (14.0B active) 53Fair 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 run 53Fair 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 run
MiniMax-Text-01MiniMax · 456B (45.9B active) 53Fair 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 run 53Fair 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 run
Tülu 3 405BAi2 · 406B 53Fair 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 run 53Fair 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 run
DeepSeek V3 (671B)DeepSeek · 671B (37.0B active) 52Fair 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 run 52Fair 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 run
DeepSeek Coder V2 (236B)DeepSeek · 236B (21.0B active) 51Fair 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 run 51Fair 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 run
DeepSeek Coder V2 Instruct (0614)DeepSeek · 236B (21.0B active) 50Fair 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 run 50Fair 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 run
DeepSeek V2.5 1210DeepSeek · 236B (21.0B active) 50Fair 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 run 50Fair 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 run
Llama 3.1 405B InstructMeta · 406B 50Fair 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 run 50Fair 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 run
Llama 4 Maverick (17B x 128E)Meta · 402B (17.0B active) 50Fair 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 run 50Fair 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 run
DeepSeek V2.5DeepSeek · 236B (21.0B active) 49Fair 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 run 49Fair 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 run
Jamba 1.5 LargeAI21 Labs · 399B (94.0B active) 49Fair 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 run 49Fair 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 run
DeepSeek V2 ChatDeepSeek · 236B (21.0B active) 43Fair 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 run 43Fair 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 run
Mixtral 8x22B InstructMistral AI · 141B (39.0B active) 38Basic 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 run 38Basic 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 run
Grok-1 (314B)xAI · 314B (86.0B active) 35Basic 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 run 35Basic 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 run
Snowflake Arctic InstructSnowflake · 479B (17.0B active) 35Basic 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 run 35Basic 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 run
Falcon 180B ChatTII · 180B 23Basic 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 run 23Basic 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 run

Image models

61 of 61 image models run on the Apple M3 Max (64 GB). 48.0 GB usable for models.

60 of 61 image models run on the AMD Radeon AI PRO R9700. 32.0 GB usable for models.

Model QualityM3 Max SpeedM3 Max RunsM3 Max QualityAI PRO R9700 SpeedAI PRO R9700 RunsAI PRO R9700
Krea 2 TurboKrea · 12.8B 92Excellent quality (A+) · 92 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. 27 s Runs well 90Excellent 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. 5.2 s Runs great
ERNIE-Image TurboBaidu · 8.0B 85Excellent 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. 20 s Runs well 85Excellent 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. 4.3 s Runs great
FLUX.2 [klein] 9BBlack Forest Labs · 9.1B 82Great 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. 10 s Runs great 83Great 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. 2.8 s Runs great
Z-Image TurboAlibaba (Tongyi) · 6.2B 84Great quality (A) · 84 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. 16 s Runs well 84Great 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. 3.4 s Runs great
Qwen-Image 2.1 TurboAlibaba · 7.1B 87Excellent quality (A+) · 87 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. 67 s Slow 87Excellent quality (A+) · 87 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. 14 s Runs welltight fit
FLUX 3 Image KleinBlack Forest Labs · 5.6B 91Excellent 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. 36 s Runs well 91Excellent 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. 7.7 s Runs great
Fibo 2.0 DevBria AI · 8.1B 93Excellent 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. 2.4 min Very slow 93Excellent quality (A+) · 93 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. 30 s Runs welltight fit
Ideogram 4Ideogram · 18.6B 90Excellent 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. 2.4 min Very slow 90Excellent quality (A+) · 90 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. 30 s Runs welltight fit
FLUX.2 [klein] 4BBlack Forest Labs · 3.9B 78Great 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. 6.4 s Runs great 78Great 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. 1.3 s Runs great
Ming-Image 0.1 DesignAnt Group (inclusionAI) · 6.2B 84Great quality (A) · 84 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. 1.6 min Slow 86Excellent quality (A+) · 86 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. 23 s Runs wellencoder in RAM
FLUX.1 Krea [dev]Black Forest Labs · 11.9B 82Great 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. 77 s Slow 80Great 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. 15 s Runs well
Stable Diffusion 3.5 Large TurboStability AI · 8.1B 62Good 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. 10 s Runs great 61Good 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. 2.5 s Runs great
MiniMax H3 ImageMiniMax · 33.1B 91Excellent 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. 60 s Slowencoder unloaded after use 91Excellent quality (A+) · 91 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. 16 s Runs wellCPU offload
Qwen-Image 2512Alibaba · 20.4B 89Excellent quality (A+) · 89 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. 11.0 min Very slow 88Excellent quality (A+) · 88 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. 1.9 min Slowencoder in RAM
Qwen-Image 2.1Alibaba · 7.1B 92Excellent 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. 7.3 min Very slowtight fit 86Excellent quality (A+) · 86 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. 1.7 min Slowtight fit · encoder in RAM
FLUX.1 [dev]Black Forest Labs · 11.9B 80Great 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. 77 s Slow 78Great quality (A) · 78 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. 15 s Runs well
MOSS-Image SFTOpenMOSS · 5.1B 82Great 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. 89 s Slow 80Great quality (A) · 80 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. 17 s Runs well
Qwen-ImageAlibaba · 20.4B 86Excellent 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. 8.6 min Very slow 86Excellent quality (A+) · 86 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. 1.9 min Slowencoder in RAM
FireRed-Image-Edit 1.1rednote (FireRed Team) · 20.4B 86Excellent 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. 9.8 min Very slow 80Great quality (A) · 80 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. 2.1 min Slow
Qwen-Image-Edit 2511Alibaba · 20.4B 85Excellent 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. 9.8 min Very slow 79Great 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. 2.1 min Slow
HiDream-I1 DevHiDream.ai · 17.1B 78Great 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. 1.6 min Slow 74Great quality (A) · 74 of 100: how capable the model is at NF4, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 25 s Runs well
HiDream-I1 FullHiDream.ai · 17.1B 83Great 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. 5.5 min Very slow 78Great quality (A) · 78 of 100: how capable the model is at NF4, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 66 s Slow
HiDream-I1 FastHiDream.ai · 17.1B 74Great quality (A) · 74 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. 57 s Slow 70Great quality (A) · 70 of 100: how capable the model is at NF4, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 15 s Runs well
FLUX.1 Fill [dev]Black Forest Labs · 11.9B 76Great 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. 80 s Slow 74Great quality (A) · 74 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. 15 s Runs well
FLUX.1 [schnell]Black Forest Labs · 11.9B 68Good 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 great 69Good 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. 3.1 s Runs great
FLUX.2 [dev]Black Forest Labs · 32.2B 91Excellent 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. 4.6 min Very slowencoder unloaded after use 85Excellent quality (A+) · 85 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. 61 s Slowencoder in RAM
Chroma1-HDLodestone Rock · 8.9B 78Great 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. 2.1 min Slow 76Great quality (A) · 76 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. 24 s Runs well
Z-ImageAlibaba (Tongyi) · 6.2B 82Great 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. 1.8 min Slow 82Great quality (A) · 82 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. 23 s Runs well
ERNIE-ImageBaidu · 8.0B 86Excellent quality (A+) · 86 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. 2.1 min Slow 86Excellent quality (A+) · 86 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. 27 s Runs well
CogView4 6BZhipu AI · 6.4B 70Great quality (A) · 70 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. 1.9 min Slow 68Good 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. 22 s Runs well
FLUX.1 Kontext [dev]Black Forest Labs · 11.9B 80Great 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 Slow 80Great quality (A) · 80 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. 27 s Runs well
Stable Diffusion 3.5 LargeStability AI · 8.1B 66Good 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. 70 s Slow 64Good quality (B) · 64 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. 13 s Runs great
KolorsKuaishou · 2.6B 60Good quality (B) · 60 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. 26 s Runs well 60Good 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. 5.4 s Runs great
Iris-3BSperidlabs · 3.0B 72Great 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. 1.7 min Slow 72Great quality (A) · 72 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. 21 s Runs well
DreamShaper XL v2 TurboLykon · 2.6B 58Good 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. 8.3 s Runs great 58Good 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. 1.7 s Runs great
HunyuanImage 3.0 (80B-A13B)Tencent · 83.0B 88Excellent quality (A+) · 88 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. 7.5 min Very slowCPU offload 88Excellent 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. — Won't run
PixArt-Σ XL 1024PixArt · 0.6B 50Fair 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. 9.6 s Runs great 50Fair 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. 2.0 s Runs great
SDXL-Lightning (4-step)ByteDance · 2.6B 54Fair 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. 4.5 s Runs great 54Fair 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. 0.9 s Runs great
OmniGen2BAAI (VectorSpaceLab) · 4.0B 66Good 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. 1.7 min Slow 66Good quality (B) · 66 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. 21 s Runs well
Cosmos3-Super Text2Image (64B)NVIDIA · 64.0B 90Excellent 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. 5.0 min Very slowCPU offload 90Excellent quality (A+) · 90 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. 63 s SlowCPU offload
Stable Diffusion 3.5 MediumStability AI · 2.5B 58Good 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. 38 s Runs well 58Good 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. 8.1 s Runs great
Lumina-Image 2.0Shanghai AI Lab · 2.6B 62Good 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. 45 s Slow 62Good 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. 9.4 s Runs great
Juggernaut XL v9RunDiffusion · 2.6B 62Good 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. 29 s Runs well 62Good 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. 6.0 s Runs great
RealVisXL V5.0SG161222 · 2.6B 62Good 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. 29 s Runs well 62Good 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. 6.0 s Runs great
Animagine XL 4.0Cagliostro Lab · 2.6B 60Good 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. 27 s Runs well 60Good 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. 5.6 s Runs great
Illustrious XL v0.1OnomaAI · 2.6B 60Good 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. 27 s Runs well 60Good 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. 5.6 s Runs great
Kandinsky 3Sber AI · 3.0B 48Fair 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. 57 s Slow 48Fair quality (C) · 48 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. 12 s Runs great
Pony Diffusion V6 XLPurpleSmartAI · 2.6B 58Good 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. 24 s Runs well 58Good 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. 5.1 s Runs great
AuraFlow v0.3fal · 6.9B 58Good 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. 89 s Slow 56Good 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. 17 s Runs well
Stable Diffusion 3 MediumStability AI · 2.0B 50Fair quality (C) · 50 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. 18 s Runs well 52Fair 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. 4.2 s Runs great
Animagine XL 3.1Cagliostro Lab · 2.6B 56Good quality (B) · 56 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. 27 s Runs well 56Good 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. 5.6 s Runs great
Stable CascadeStability AI · 5.2B 52Fair quality (C) · 52 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. 32 s Runs well 52Fair 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. 6.7 s Runs great
Playground v2.5Playground AI · 2.6B 60Good 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. 48 s Slow 60Good 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. 10 s Runs great
Stable Diffusion XL 1.0Stability AI · 2.6B 55Good quality (B) · 55 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. 29 s Runs well 55Good 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. 6.0 s Runs great
SDXL TurboStability AI · 2.6B 40Fair 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. 1.0 s Runs great 40Fair 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. 0.2 s Runs great
Hunyuan-DiT v1.2Tencent · 1.5B 52Fair 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. 38 s Runs well 52Fair 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. 8.1 s Runs great
Realistic Vision V5.1SG161222 · 0.9B 42Fair 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. 7.7 s Runs great 42Fair 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. 1.6 s Runs great
DreamShaper 8Lykon · 0.9B 40Fair 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. 7.7 s Runs great 40Fair 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. 1.6 s Runs great
Stable Diffusion 1.5Stability AI / Runway · 0.9B 35Basic 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. 7.7 s Runs great 35Basic 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. 1.6 s Runs great
LCM DreamShaper v7Tsinghua (LCM) · 0.9B 30Basic 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. 1.6 s Runs great 30Basic 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. 0.3 s Runs great
SD TurboStability AI · 0.9B 28Basic 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 great 28Basic 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 Runs great

Video models

42 of 43 video models run on the Apple M3 Max (64 GB). 48.0 GB usable for models.

40 of 43 video models run on the AMD Radeon AI PRO R9700. 32.0 GB usable for models.

Model QualityM3 Max SpeedM3 Max RunsM3 Max QualityAI PRO R9700 SpeedAI PRO R9700 RunsAI PRO R9700
LTX-2.5 (22B, video + audio)Lightricks · 21.0B 81Great 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. 11.6 min Runs well 81Great 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. 2.6 min Runs greatencoder in RAM
LTX-Video 13B 0.9.8 (distilled)Lightricks · 13.0B 66Good 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. 5.7 min Runs well 66Good 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. 73 s Runs welltight fit
Wan 2.2 I2V A14BAlibaba · 14.0B 85Excellent 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. 3.3 h Very slow 79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 45.1 min Very slowencoder in RAM
Wan 2.2 T2V A14BAlibaba · 14.0B 85Excellent 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. 3.3 h Very slow 79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 45.1 min Very slowencoder in RAM
LTX-2.3Lightricks · 18.9B 84Great 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. 38.3 min Slowtight fit 79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 11.3 min Runs wellencoder in RAM
HunyuanVideo 1.5 (8.3B)Tencent · 8.3B 82Great 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. 2.9 h Very slow 82Great quality (A) · 82 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. 38.1 min Slowtight fit · encoder in RAM
LTX-2 (19B, video + audio)Lightricks · 18.9B 80Great 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. 38.3 min Slowtight fit 76Great quality (A) · 76 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. 11.3 min Runs wellencoder in RAM
Bernini-R A14B (video generation + editing)ByteDance · 14.3B 83Great 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. 69.0 min Very slow 83Great quality (A) · 83 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. 14.5 min Slow
SCAIL-2 14B (character animation)Zhipu AI · 16.4B 78Great 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. 1.9 h Very slow 78Great quality (A) · 78 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. 24.2 min Slowtight fit
Wan 2.1 I2V 14B 720PAlibaba · 14.0B 77Great 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. 4.1 h Very slow 72Great 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. 56.4 min Very slowencoder in RAM
Wan 2.1 T2V 14BAlibaba · 14.0B 77Great 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. 4.1 h Very slow 72Great 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. 56.4 min Very slowencoder in RAM
FramePack I2V (HunyuanVideo 13B)lllyasviel · 12.9B 72Great 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. 38.3 min Slow 72Great quality (A) · 72 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. 8.1 min Runs welltight fit
MiniMax H3 (33B, video + audio)MiniMax · 20.1B 89Excellent 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. 2.2 h Very slowtight fit · encoder unloaded after use 88Excellent quality (A+) · 88 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. 27.2 min SlowCPU offload
Wan 2.2 S2V 14B (speech to video)Alibaba · 16.3B 75Great 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. 2.0 h Very slow 74Great quality (A) · 74 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. 20.1 min Slowtight fit
Kandinsky 6.0 Video Lite (3B, video + audio)Sber AI · 3.2B 68Good 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. 33.0 min Slow 68Good quality (B) · 68 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. 7.3 min Runs wellencoder in RAM
Wan 2.2 TI2V 5BAlibaba · 5.0B 68Good 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. 49.8 min Very slow 68Good 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. 11.0 min Runs wellencoder in RAM
Wan 2.2 Animate 14BAlibaba · 17.3B 77Great 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. 3.9 h Very slowtight fit 72Great 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. 53.6 min Very slowtight fit · encoder in RAM
Wan 2.1 VACE 14BAlibaba · 17.3B 77Great 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. 4.5 h Very slowtight fit 72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 62.1 min Very slowtight fit · encoder in RAM
SkyReels V2 T2V 14B 720PSkywork · 14.0B 76Great 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. 3.8 h Very slowtight fit 76Great quality (A) · 76 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. 62.9 min Very slowCPU offload
HY-OmniWeaving (8.3B, unified video)Tencent · 8.3B 74Great 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. 50.8 min Very slow 74Great quality (A) · 74 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. 10.7 min Runs well
SkyReels V2 T2V 14B 540PSkywork · 14.0B 72Great 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. 2.2 h Very slow 72Great 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. 28.2 min Slowtight fit
Wan 2.1 I2V 14B 480PAlibaba · 14.0B 73Great quality (A) · 73 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 1.8 h Very slow 72Great quality (A) · 72 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. 18.1 min Slow
Cosmos-Predict2 14B Video2WorldNVIDIA · 14.0B 68Good quality (B) · 68 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. 2.6 h Very slow 68Good quality (B) · 68 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. 41.9 min Very slowCPU offload
HunyuanVideo 13BTencent · 13.0B 66Good 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. 5.1 h Very slow 66Good 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. 67.7 min Very slowtight fit · encoder in RAM
HunyuanVideo I2V 13BTencent · 13.0B 66Good 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. 5.1 h Very slow 66Good 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. 67.7 min Very slowtight fit · encoder in RAM
Cosmos-Predict2 2B Video2WorldNVIDIA · 2.0B 58Good 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. 26.6 min Slow 56Good quality (B) · 56 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. 5.0 min Runs well
Open-Sora 2.0 (11B)HPC-AI Tech · 11.0B 70Great quality (A) · 70 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. 5.3 h Very slowtight fit 70Great 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. 87.3 min Very slowCPU offload
LTX-Video 2BLightricks · 1.9B 50Fair 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. 2.7 min Runs great 50Fair 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. 34 s Runs great
CogVideoX 1.5 5BZhipu AI · 5.6B 58Good 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. 86.2 min Very slow 58Good 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. — Won't run
Step-Video T2V (30B)StepFun · 30.0B 74Great quality (A) · 74 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. 5.2 h Very slowtight fit · encoder unloaded after use 74Great quality (A) · 74 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. 81.2 min Very slowCPU offload
CogVideoX 5B I2VZhipu AI · 5.6B 55Good 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. 19.2 min Slow 53Fair 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. 3.6 min Runs great
Mochi 1 Preview (10B)Genmo · 10.0B 60Good 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. 1.8 h Very slow 60Good quality (B) · 60 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. 22.2 min Slow
CogVideoX 5BZhipu AI · 5.0B 55Good 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. 19.2 min Slow 53Fair 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. 3.6 min Runs great
Kandinsky 6.0 Pro (29B, video + audio)Sber AI · 30.1B 88Excellent 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. 6.8 h Very slowCPU offload 88Excellent 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. 85.6 min Very slowtight fit · CPU offload
Allegro (2.8B)Rhymes AI · 2.8B 52Fair 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. 2.1 h Very slow 52Fair quality (C) · 52 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. 28.2 min Slowtight fit · encoder in RAM
Cosmos 1.0 Diffusion 7B Text2WorldNVIDIA · 7.0B 60Good 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. 61.5 min Very slowencoder unloaded after use 60Good quality (B) · 60 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. 16.0 min Slowtight fit · CPU offload
Wan 2.1 VACE 1.3BAlibaba · 2.2B 55Good 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. 27.7 min Slow 53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 5.2 min Runs well
SkyReels V2 Diffusion Forcing 1.3BSkywork · 1.4B 52Fair 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. 31.9 min Slow 50Fair quality (C) · 50 of 100: how capable the model is at FP8, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 6.0 min Runs well
Wan 2.1 T2V 1.3BAlibaba · 1.3B 55Good 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. 25.6 min Slow 53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 4.8 min Runs well
Wan-Dancer 14B (music to dance)Alibaba · 17.3B 74Great 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. 9.1 h Very slowCPU offload 74Great 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. — Won't run
CogVideoX 2BZhipu AI · 1.7B 44Fair 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. 5.7 min Runs well 45Fair 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. 81 s Runs great
AnimateDiff v3 (SD 1.5)Shanghai AI Lab · 1.3B 35Basic 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. 2.1 min Runs great 35Basic 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. 27 s Runs great
Cosmos3-Super Image2Video (64B)NVIDIA · 64.0B 88Excellent 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 run 88Excellent 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 run

Decision models

69 of 70 decision models run on the Apple M3 Max (64 GB). 48.0 GB usable for models.

68 of 70 decision models run on the AMD Radeon AI PRO R9700. 32.0 GB usable for models.

Model QualityM3 Max SpeedM3 Max RunsM3 Max QualityAI PRO R9700 SpeedAI PRO R9700 RunsAI PRO R9700
Jina Reranker v3.5Jina AI · 600M 86Excellent 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. 40 ms Runs great 86Excellent 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. 13 ms Runs great
Jina Reranker v3Jina AI · 600M 84Great 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. 40 ms Runs great 84Great 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. 13 ms Runs great
d1 3BLiquid AI · 3.1B 82Great quality (A) · 82 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. 97 ms Runs great 82Great 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. 37 ms Runs great
mxbai-rerank-large v2Mixedbread · 1.5B 82Great 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 great 82Great 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. 27 ms Runs great
FRIDA-DecisionsSber AI · 820M 80Great 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. 30 ms Runs great 80Great 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. 8.4 ms Runs great
GLiNER2.5 DecideFastino · 490M 80Great 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 Runs great 80Great 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. 6.6 ms Runs great
Qwen3 Reranker 0.6BAlibaba · 600M 80Great 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. 40 ms Runs great 80Great 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. 13 ms Runs great
zerank-1 smallZeroEntropy · 1.7B 80Great 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. 99 ms Runs great 80Great 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. 30 ms Runs great
Intern-Decision 4BShanghai AI Lab · 4.5B 84Great quality (A) · 84 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. 139 ms Runs well 84Great 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. 52 ms Runs great
Qwen3 Reranker 4BAlibaba · 4.0B 90Excellent quality (A+) · 90 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. 225 ms Runs well 90Excellent 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. 64 ms Runs great
zerank-2ZeroEntropy · 4.0B 88Excellent quality (A+) · 88 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. 225 ms Runs well 88Excellent 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. 64 ms Runs great
LemonDecider 4BAnt Group (inclusionAI) · 4.5B 80Great quality (A) · 80 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. 128 ms Runs great 80Great 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. 28 ms Runs great
Llama Prompt Guard 2 86MMeta · 280M 76Great 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. 22 ms Runs great 76Great 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. 7.0 ms Runs great
mxbai-rerank-base v2Mixedbread · 490M 76Great 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. 34 ms Runs great 76Great 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. 11 ms Runs great
Shieldstral 1.0 3BMistral AI · 3.9B 86Excellent quality (A+) · 86 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. 216 ms Runs well 86Excellent 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. 61 ms Runs great
GLiClass ModernBERT Large v3Knowledgator · 400M 74Great 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. 17 ms Runs great 74Great 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. 6.2 ms Runs great
OpenAI Privacy FilterOpenAI · 1.4B (50M active) 78Great 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. 5.6 ms Runs great 78Great 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. 4.3 ms Runs great
BGE Reranker v2 GemmaBAAI · 2.5B 78Great quality (A) · 78 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. 142 ms Runs well 78Great 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. 41 ms Runs great
Qwen3 Reranker 8BAlibaba · 8.2B 90Excellent quality (A+) · 90 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. 454 ms Slow 90Excellent quality (A+) · 90 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. 98 ms Runs great
BGE Reranker v2 M3BAAI · 570M 72Great 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. 40 ms Runs great 72Great 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. 10 ms Runs great
DeBERTa v3 Large Zero-shot v2.0Moritz Laurer · 440M 72Great 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. 18 ms Runs great 72Great 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. 6.4 ms Runs great
DuoGuard 0.5BDuoGuard · 490M 72Great 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. 35 ms Runs great 72Great 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. 9.3 ms Runs great
Skywork Reward V2 Qwen3 0.6BSkywork · 600M 72Great 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. 80 ms Runs great 72Great 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. 17 ms Runs great
GTE Reranker ModernBERT BaseAlibaba · 150M 70Great 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. 13 ms Runs great 70Great 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. 5.6 ms Runs great
Jina Reranker v2 Base MultilingualJina AI · 280M 70Great 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. 22 ms Runs great 70Great 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. 7.0 ms Runs great
ModernBERT Large Zero-shot v2.0Moritz Laurer · 400M 70Great 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. 17 ms Runs great 70Great 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. 6.2 ms Runs great
Skywork Reward V2 Llama 3.1 8BSkywork · 7.5B 90Excellent 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. 825 ms Slow 90Excellent quality (A+) · 90 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. 145 ms Runs well
GLiGuard 300MFastino · 210M 68Good 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. 17 ms Runs great 68Good 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. 6.3 ms Runs great
Granite Embedding Reranker English R2IBM · 150M 68Good 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. 13 ms Runs great 68Good 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. 5.6 ms Runs great
LayaConvai Innovations · 420M 68Good 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. 17 ms Runs great 68Good 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. 6.3 ms Runs great
Llama Prompt Guard 2 22MMeta · 71M 68Good 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. 8.5 ms Runs great 68Good 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. 4.8 ms Runs great
Qwen3Guard Gen 0.6BAlibaba · 750M 74Great 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. 87 ms Runs great 74Great 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. 39 ms Runs great
GLiClass Base v3Knowledgator · 190M 66Good 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. 10.0 ms Runs great 66Good 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. 5.0 ms Runs great
ProtectAI DeBERTa v3 Prompt Injection v2Protect AI · 180M 66Good 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 great 66Good 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. 5.9 ms Runs great
GLiDE 27BFastino · 26B 86Excellent 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. 718 ms Slow 86Excellent 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. — Won't run
DeBERTa v3 Base Zero-shot v2.0Moritz Laurer · 180M 64Good 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. 9.7 ms Runs great 64Good 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. 5.0 ms Runs great
GLiNER2 Base v1Fastino · 210M 68Good 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. 11 ms Runs great 68Good 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. 5.1 ms Runs great
Skywork Reward V2 Qwen3 8BSkywork · 7.6B 84Great quality (A) · 84 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. 833 ms Slow 84Great quality (A) · 84 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. 146 ms Runs well
HHEM 2.1 OpenVectara · 110M 62Good 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. 18 ms Runs great 62Good 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. 6.4 ms Runs great
Qwen3Guard Gen 4BAlibaba · 4.4B 83Great quality (A) · 83 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. 316 ms Runs well 83Great 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. 98 ms Runs great
LettuceDetect LargeKR Labs · 400M 66Good 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. 54 ms Runs great 66Good 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. 13 ms Runs great
Laya MultilingualConvai Innovations · 320M 60Good 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. 14 ms Runs great 60Good 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. 5.7 ms Runs great
Qwen3Guard Gen 8BAlibaba · 8.2B 86Excellent 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. 645 ms Slow 85Excellent quality (A+) · 85 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 ms Runs well
GLiNER Multi v2.1Urchade Zaratiana · 290M 62Good 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. 13 ms Runs great 62Good 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. 5.6 ms Runs great
Llama 3.1 Nemotron Safety Guard 8B v3NVIDIA · 8.0B 84Great quality (A) · 84 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. 632 ms Slow 83Great quality (A) · 83 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. 176 ms Runs well
Granite Guardian 4.1 8BIBM · 8.4B 84Great quality (A) · 84 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. 660 ms Slow 83Great quality (A) · 83 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. 183 ms Runs well
BART Large MNLIMeta · 410M 56Good 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. 17 ms Runs great 56Good 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. 6.2 ms Runs great
WildGuard 7BAi2 · 7.3B 80Great 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. 571 ms Slow 79Great quality (A) · 79 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. 159 ms Runs well
NuExtract 2.0 4BNuMind · 3.8B 73Great quality (A) · 73 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 356 ms Runs well 72Great quality (A) · 72 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. 153 ms Runs well
NuExtract 2.0 2BNuMind · 2.2B 66Good quality (B) · 66 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. 185 ms Runs well 67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 108 ms Runs great
Granite Guardian 3.3 8BIBM · 8.2B 80Great quality (A) · 80 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. 643 ms Slow 79Great quality (A) · 79 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. 179 ms Runs well
ShieldGemma 2BGoogle · 2.6B 58Good quality (B) · 58 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. 148 ms Runs well 58Good 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. 43 ms Runs great
ms-marco MiniLM L6 v2Sentence Transformers · 23M 52Fair 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. 5.4 ms Runs great 52Fair 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 Runs great
Llama Guard 3 1BMeta · 1.5B 55Good 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. 110 ms Runs great 56Good 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. 74 ms Runs great
ShieldGemma 9BGoogle · 9.2B 64Good 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. 512 ms Slow 63Good quality (B) · 63 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. 103 ms Runs great
CompassJudger-2 32BOpenCompass · 33B 86Excellent 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. 26.1 s Very slow 83Great quality (A) · 83 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. 9.4 s Very slow
ShieldGemma 27BGoogle · 27B 66Good 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. 1.5 s Very slow 65Good 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. 297 ms Runs well
Llama Guard 3 8BMeta · 8.0B 68Good quality (B) · 68 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. 632 ms Slow 67Good quality (B) · 67 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. 176 ms Runs well
Nemotron Content Safety Reasoning 4BNVIDIA · 4.3B 77Great quality (A) · 77 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 Very slow 75Great quality (A) · 75 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. 1.3 s Slow
gpt-oss-safeguard 20BOpenAI · 22B (3.6B active) 76Great 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. 2.0 s Very slow 76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 1.4 s Very slow
DynaGuard 8BUniversity of Maryland · 8.2B 79Great 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. 6.5 s Very slow 78Great quality (A) · 78 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. 2.9 s Very slow
Selene 1 Mini 8BAtla · 8.0B 80Great 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. 6.4 s Very slow 79Great quality (A) · 79 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. 2.7 s Very slow
Llama Guard 4 12BMeta · 12B 66Good quality (B) · 66 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. 943 ms Slow 65Good quality (B) · 65 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. 261 ms Runs well
CompassJudger-2 7BOpenCompass · 7.6B 78Great 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. 6.1 s Very slow 77Great quality (A) · 77 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. 2.6 s Very slow
DynaGuard 1.7BUniversity of Maryland · 2.0B 69Good quality (B) · 69 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. 1.2 s Slow 69Good 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. 713 ms Slow
Prometheus 2 8x7BPrometheus Eval · 47B (13B active) 71Great 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. 7.4 s Very slow 70Great quality (A) · 70 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. 3.6 s Very slowtight fit
Prometheus 2 7BPrometheus Eval · 7.2B 68Good 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. 5.8 s Very slow 67Good quality (B) · 67 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. 2.4 s Very slow
GLIDERPatronus AI · 3.8B 65Good 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. 2.3 s Very slow 65Good quality (B) · 65 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. 1.3 s Slow
Flow Judge v0.1Flow AI · 3.8B 63Good 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. 2.3 s Very slow 63Good 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. 1.3 s Slow
gpt-oss-safeguard 120BOpenAI · 117B (5.1B active) 80Great 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 run 80Great 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 run

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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