Intel Core 3 304 / Core 5 320 NAS (64 GB) vs NVIDIA GeForce RTX 4090 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

Too close to call

For general chat, the Intel Core 3 304 / Core 5 320 NAS (64 GB) and NVIDIA GeForce RTX 4090 come out about even. Look at price and the specific models you care about below.

Side by side

Swap sides All models on the Core 3 304 / Core 5 320 NAS All models on the RTX 4090

  Beelink ME Pro 2-Bay AI NAS (Intel Core 3 304, Wildcat Lake)Intel Core 3 304 / Core 5 320 NAS (64 GB) NVIDIA GeForce RTX 4090 Founders EditionNVIDIA GeForce RTX 4090
Memory 64.0 GB unified 24.0 GB VRAM
Usable for models 54.4 GB 24.0 GB
Memory bandwidth 51 GB/s 1,008 GB/s
FP16 compute 0.4 TFLOPS 82.6 TFLOPS
Launch price — $1,599
Released 2026 2022
LLMs that run 520 of 622 496 of 622
LLMs that run well 275 466
Image models that run 61 of 61 58 of 61
Video models that run 42 of 43 31 of 43
Decision models that run 69 of 70 68 of 70
Top-10 LLM average score 93 99
Top-10 LLM average speed 11.1 tok/s 89.3 tok/s
Best LLM Qwen3.6 35B-A3B Qwen3.8 27B

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

LLMs

520 of 622 LLMs run on the Intel Core 3 304 / Core 5 320 NAS (64 GB). 54.4 GB usable for models.

496 of 622 LLMs run on the NVIDIA GeForce RTX 4090. 24.0 GB usable for models.

Model QualityCore 3 304 / Core 5 320 NAS SpeedCore 3 304 / Core 5 320 NAS RunsCore 3 304 / Core 5 320 NAS QualityRTX 4090 SpeedRTX 4090 RunsRTX 4090
Qwen3.6 35B-A3BAlibaba · 36B (3.0B active) 92Excellent quality (A+) · 92 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. 10.7 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 98/100 (quality, fit, speed and memory use) sets the ranking. 173 tok/s Runs welltight fit
Qwen3.5 35B-A3BAlibaba · 36B (3.0B active) 92Excellent quality (A+) · 92 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. 10.7 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 98/100 (quality, fit, speed and memory use) sets the ranking. 173 tok/s Runs welltight fit
MiniCPM-V 4.7 35B-A3BOpenBMB · 35B (3.0B active) 92Excellent quality (A+) · 92 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. 10.7 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 98/100 (quality, fit, speed and memory use) sets the ranking. 173 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 93/100 (quality, fit, speed and memory use) sets the ranking. 12.7 tok/s Runs well 75Great quality (A) · 75 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. 208 tok/s Runs welltight fit
Nex N2 Mini (35B-A3B)Nex-AGI · 35B (3.0B active) 91Excellent quality (A+) · 91 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. 10.7 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 98/100 (quality, fit, speed and memory use) sets the ranking. 173 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 92/100 (quality, fit, speed and memory use) sets the ranking. 10.7 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 97/100 (quality, fit, speed and memory use) sets the ranking. 173 tok/s Runs welltight fit
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 92/100 (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 97/100 (quality, fit, speed and memory use) sets the ranking. 173 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 92/100 (quality, fit, speed and memory use) sets the ranking. 10.7 tok/s Runs well 84Great quality (A) · 84 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking. 173 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 92/100 (quality, fit, speed and memory use) sets the ranking. 10.7 tok/s Runs well 84Great quality (A) · 84 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking. 173 tok/s Runs welltight fit
Kolibri 1 (78B-A3.5B)Aleph Alpha · 78B (3.5B active) 86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 13.3 tok/s Runs welltight fit 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 83.9 tok/s Runs welloffloads to RAM
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 90/100 (quality, fit, speed and memory use) sets the ranking. 10.7 tok/s Runs well 82Great quality (A) · 82 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. 173 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 90/100 (quality, fit, speed and memory use) sets the ranking. 10.7 tok/s Runs well 82Great quality (A) · 82 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. 173 tok/s Runs welltight fit
GLM-4.7 Flash (30B-A3B)Zhipu AI · 31B (3.0B active) 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 96/100 (quality, fit, speed and memory use) sets the ranking. 173 tok/s Runs welltight fit
Nanbeige4.3 33BBOSS Zhipin (Nanbeige) · 33B 95Excellent quality (A+) · 95 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. 0.7 tok/s Very slow 90Excellent quality (A+) · 90 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking. 37.4 tok/s Runs welltight fit
Qwen3.8 27BAlibaba · 28B 95Excellent quality (A+) · 95 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. 0.9 tok/s Very slow 92Excellent quality (A+) · 92 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. 36.8 tok/s Runs welltight fit
Qwen3.6 27BAlibaba · 28B 94Excellent quality (A+) · 94 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. 0.9 tok/s Very slow 89Excellent quality (A+) · 89 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking. 44.5 tok/s Runs great
Nemotron 3.5 Bolt 74B-A9BNVIDIA · 75B (9.0B active) 87Excellent quality (A+) · 87 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. 5.2 tok/s Slowtight fit 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 41.9 tok/s Runs welloffloads to RAM
Qwen3.5 27BAlibaba · 28B 93Excellent quality (A+) · 93 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. 0.9 tok/s Very slow 88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking. 44.5 tok/s Runs great
Muse Glimmer 30BMeta · 30B 92Excellent quality (A+) · 92 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. 0.8 tok/s Very slow 87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 99/100 (quality, fit, speed and memory use) sets the ranking. 41.6 tok/s Runs great
Gemma 4 31BGoogle · 31B 91Excellent quality (A+) · 91 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. 0.8 tok/s Very slow 86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking. 39.6 tok/s Runs welltight fit
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 87/100 (quality, fit, speed and memory use) sets the ranking. 19.4 tok/s Runs well 72Great quality (A) · 72 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 58.9 tok/s Slowheavy RAM offload
Gemma 4 26B-A4BGoogle · 26B (3.8B active) 89Excellent quality (A+) · 89 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. 10.1 tok/s Runs well 91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 100/100 (quality, fit, speed and memory use) sets the ranking. 124 tok/s Runs welltight fit
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 87/100 (quality, fit, speed and memory use) sets the ranking. 10.7 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 92/100 (quality, fit, speed and memory use) sets the ranking. 173 tok/s Runs welltight fit
TMax 27BAi2 · 27B 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. 0.9 tok/s Very slow 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. 45.2 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 87/100 (quality, fit, speed and memory use) sets the ranking. 19.4 tok/s Runs well 70Great quality (A) · 70 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 58.9 tok/s Slowheavy RAM offload
Fara 1.5 27BMicrosoft · 27B 88Excellent quality (A+) · 88 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. 0.9 tok/s Very slow 83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking. 45.2 tok/s Runs great
Kimi Linear 48B-A3BMoonshot AI · 49B (3.0B active) 70Great quality (A) · 70 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. 15.2 tok/s Runs well 51Fair quality (C) · 51 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. 217 tok/s Runs welltight fit
Laguna XS 2.1 (33B-A3B)Poolside · 33B (3.0B active) 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. 15.2 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 94/100 (quality, fit, speed and memory use) sets the ranking. 173 tok/s Runs welltight fit
UI-Mate 27BTencent · 27B 86Excellent quality (A+) · 86 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. 0.9 tok/s Very slow 81Great quality (A) · 81 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. 45.2 tok/s Runs great
Qwen3 Coder Next (80B-A3B)Alibaba · 80B (3.0B active) 81Great quality (A) · 81 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. 15.2 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 66/100 (quality, fit, speed and memory use) sets the ranking. 60.0 tok/s Slowheavy RAM offload
Raon-1 mini Preview (30B-A4B)KRAFTON · 29B (4.3B active) 83Great quality (A) · 83 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. 10.8 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 97/100 (quality, fit, speed and memory use) sets the ranking. 146 tok/s Runs great
EXAONE 4.5 33BLG AI Research · 34B 82Great quality (A) · 82 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. 0.7 tok/s Very slow 77Great quality (A) · 77 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. 36.0 tok/s Runs welltight fit
Hunyuan Hy-Memory 30B-A3BTencent · 30B (3.0B active) 84Great quality (A) · 84 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. 10.7 tok/s Runs well 82Great quality (A) · 82 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. 155 tok/s Runs welltight fit
Nemotron Cascade 2 30B-A3BNVIDIA · 32B (3.5B active) 76Great quality (A) · 76 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. 13.1 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 93/100 (quality, fit, speed and memory use) sets the ranking. 161 tok/s Runs welltight fit
Seed-OSS 36B InstructByteDance · 36B 80Great quality (A) · 80 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. 0.7 tok/s Very slow 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. 44.2 tok/s Runs welltight fit
Hermes 4.3 36BNous Research · 36B 79Great quality (A) · 79 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. 0.7 tok/s Very slow 66Good quality (B) · 66 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. 44.2 tok/s Runs welltight fit
Qwen3-VL 32B InstructAlibaba · 33B 78Great quality (A) · 78 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. 0.7 tok/s Very slow 65Good quality (B) · 65 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. 48.0 tok/s Runs great
Qwen3 30B-A3B Instruct 2507Alibaba · 31B (3.3B active) 73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 13.9 tok/s Runs well 73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 166 tok/s Runs welltight fit
Llama 3.3 Nemotron Super 49B v1.5NVIDIA · 50B 77Great quality (A) · 77 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. 0.8 tok/s Very slow 56Good quality (B) · 56 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. 31.2 tok/s Runs welloffloads to RAM
Qwen3-VL 30B-A3B ThinkingAlibaba · 31B (3.3B active) 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 13.9 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 91/100 (quality, fit, speed and memory use) sets the ranking. 166 tok/s Runs welltight fit
Nemotron 3 Nano 30B-A3BNVIDIA · 32B (3.5B active) 73Great quality (A) · 73 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 73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 161 tok/s Runs welltight fit
InternVL3.5 38BShanghai AI Lab · 38B 75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 0.9 tok/s Very slow 63Good quality (B) · 63 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. 41.7 tok/s Runs welltight fit
Qwen3-VL 30B-A3B InstructAlibaba · 31B (3.3B active) 70Great quality (A) · 70 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. 13.9 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 90/100 (quality, fit, speed and memory use) sets the ranking. 166 tok/s Runs welltight fit
Qwen3 30B-A3BAlibaba · 31B (3.3B active) 70Great quality (A) · 70 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. 13.9 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 90/100 (quality, fit, speed and memory use) sets the ranking. 166 tok/s Runs welltight fit
Sarvam 30BSarvam AI · 32B (2.4B active) 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. 18.7 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 88/100 (quality, fit, speed and memory use) sets the ranking. 189 tok/s Runs welltight fit
Qwen3 32BAlibaba · 33B 75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slow 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 37.7 tok/s Runs welltight fit
DiffusionGemma 26B-A4B ITGoogle · 26B (4.0B active) 74Great quality (A) · 74 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. 11.5 tok/s Runs well 77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. 121 tok/s Runs welltight fit
Qwen3-Omni 30B-A3B InstructAlibaba · 35B (3.3B active) 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. 13.9 tok/s Runs well 58Good quality (B) · 58 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. 189 tok/s Runs great
Nemotron 3.5 Lightning 30B-A3BNVIDIA · 32B (3.0B active) 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. 15.2 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 89/100 (quality, fit, speed and memory use) sets the ranking. 173 tok/s Runs welltight fit
LFM2.5 24B-A2BLiquid AI · 24B (2.5B active) 70Great quality (A) · 70 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. 18.4 tok/s Runs well 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. 170 tok/s Runs great
Granite 4.2 30BIBM · 29B 75Great quality (A) · 75 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. 1.1 tok/s Very slow 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 42.3 tok/s Runs welltight fit
GLM-4 32B 0414Zhipu AI · 33B 73Great quality (A) · 73 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. 1.0 tok/s Very slow 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. 38.0 tok/s Runs welltight fit
North Mini Code 1.0 (30B-A3B)Cohere · 30B (3.0B active) 76Great quality (A) · 76 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 77Great quality (A) · 77 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. 155 tok/s Runs welltight fit
InternVL3 38BShanghai AI Lab · 38B 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. 0.9 tok/s Very slow 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 41.7 tok/s Runs welltight fit
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 78/100 (quality, fit, speed and memory use) sets the ranking. 4.7 tok/s Slow 62Good quality (B) · 62 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. 15.5 tok/s Slowheavy RAM offload
Olmo 3.1 32B InstructAi2 · 32B 71Great quality (A) · 71 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. 1.0 tok/s Very slow 68Good quality (B) · 68 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. 38.4 tok/s Runs welltight fit
EXAONE 4.0 32BLG AI Research · 32B 71Great quality (A) · 71 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. 1.0 tok/s Very slow 68Good quality (B) · 68 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. 38.7 tok/s Runs welltight fit
Qwen2.5 32B InstructAlibaba · 33B 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slow 66Good quality (B) · 66 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. 37.7 tok/s Runs welltight fit
Baichuan M2 32BBaichuan · 33B 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slow 66Good quality (B) · 66 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. 37.8 tok/s Runs welltight fit
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 77/100 (quality, fit, speed and memory use) sets the ranking. 12.6 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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Granite 4.1 30BIBM · 29B 71Great quality (A) · 71 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. 1.2 tok/s Very slow 68Good quality (B) · 68 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. 42.9 tok/s Runs welltight fit
Hermes 4 70BNous Research · 71B 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. 0.7 tok/s Very slowtight fit 62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slowheavy RAM offload
Llama 3.3 70B InstructMeta · 71B 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. 0.7 tok/s Very slowtight fit 62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slowheavy RAM offload
Qwen3 30B-A3B Thinking 2507Alibaba · 31B (3.3B active) 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 13.9 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 87/100 (quality, fit, speed and memory use) sets the ranking. 166 tok/s Runs welltight fit
Qwen3 Coder 30B-A3BAlibaba · 31B (3.3B active) 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 13.9 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 87/100 (quality, fit, speed and memory use) sets the ranking. 166 tok/s Runs welltight fit
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 77/100 (quality, fit, speed and memory use) sets the ranking. 13.6 tok/s Runs well 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. 164 tok/s Runs great
Qwen2.5-VL 32B InstructAlibaba · 33B 67Good quality (B) · 67 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. 1.0 tok/s Very slow 57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 47.8 tok/s Runs great
QwQ 32BAlibaba · 33B 78Great quality (A) · 78 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. 0.7 tok/s Very slow 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs welltight fit
Qwen2.5 72B InstructAlibaba · 73B 69Good quality (B) · 69 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. 0.7 tok/s Very slowtight fit 51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 5.0 tok/s Slowheavy RAM offload
Qwen2.5-VL 72B InstructAlibaba · 73B 69Good quality (B) · 69 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. 0.7 tok/s Very slowtight fit 51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 4.8 tok/s Slowheavy RAM offload
Axion 1.0 35BAxion · 35B (3.0B active) 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. 15.2 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 85/100 (quality, fit, speed and memory use) sets the ranking. 173 tok/s Runs welltight fit
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 76/100 (quality, fit, speed and memory use) sets the ranking. 10.3 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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek R1 Distill Llama 70BDeepSeek · 71B 68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 0.7 tok/s Very slowtight fit 60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slowheavy RAM offload
Tülu 3 70BAi2 · 71B 68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 0.7 tok/s Very slowtight fit 60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slowheavy RAM offload
Gemma 3 27B ITGoogle · 27B 71Great quality (A) · 71 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. 1.2 tok/s Very slow 68Good quality (B) · 68 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. 45.2 tok/s Runs great
Gemma 4 12BGoogle · 12B 80Great quality (A) · 80 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. 3.3 tok/s Slow 83Great quality (A) · 83 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. 52.7 tok/s Runs great
Trinity Mini (26B-A3B)Arcee AI · 26B (3.0B active) 62Good quality (B) · 62 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. 15.2 tok/s Runs well 65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. 141 tok/s Runs welltight fit
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 76/100 (quality, fit, speed and memory use) sets the ranking. 12.4 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 62/100 (quality, fit, speed and memory use) sets the ranking. 38.2 tok/s Slowheavy RAM offload
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 76/100 (quality, fit, speed and memory use) sets the ranking. 6.4 tok/s Slowtight fit 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
K2 Horizon 7BInstitute of Foundation Models · 9.0B 79Great quality (A) · 79 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. 3.7 tok/s Slow 80Great quality (A) · 80 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. 70.0 tok/s Runs great
Llama 3.1 70B InstructMeta · 71B 66Good quality (B) · 66 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. 0.7 tok/s Very slowtight fit 58Good quality (B) · 58 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. 3.2 tok/s Slowheavy RAM offload
NorthCUA Minibeipo-ai · 35B (3.0B active) 56Good quality (B) · 56 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. 15.2 tok/s Runs well 56Good quality (B) · 56 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. 173 tok/s Runs welltight fit
OpenReasoning Nemotron 32BNVIDIA · 33B 75Great quality (A) · 75 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. 1.0 tok/s Very slow 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. 37.8 tok/s Runs welltight fit
Skywork OR1 32BSkywork · 33B 75Great quality (A) · 75 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. 1.0 tok/s Very slow 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. 37.8 tok/s Runs welltight fit
MedGemma 27B Text ITGoogle · 27B 69Good quality (B) · 69 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. 1.2 tok/s Very slow 66Good quality (B) · 66 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. 45.8 tok/s Runs great
Granite 4.0 H Small (32B-A9B)IBM · 32B (9.0B active) 61Good quality (B) · 61 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. 3.7 tok/s Slow 58Good quality (B) · 58 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. 94.0 tok/s Runs welltight fit
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 75/100 (quality, fit, speed and memory use) sets the ranking. 11.7 tok/s Runs welltight fit 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
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 75/100 (quality, fit, speed and memory use) sets the ranking. 6.4 tok/s Slowtight fit 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
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 75/100 (quality, fit, speed and memory use) sets the ranking. 6.4 tok/s Slowtight fit 56Good quality (B) · 56 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. 19.8 tok/s Slowheavy RAM offload
Falcon-H1 34B InstructTII · 34B 63Good quality (B) · 63 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. 1.0 tok/s Very slow 60Good quality (B) · 60 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. 36.8 tok/s Runs welltight fit
Kimi Dev 72BMoonshot AI · 73B 76Great quality (A) · 76 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. 0.7 tok/s Very slowtight fit 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 5.0 tok/s Slowheavy RAM offload
Maple Preview (20B-A1B)DeepGrove · 20B (1.5B active) 66Good quality (B) · 66 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. 29.1 tok/s Runs well 69Good quality (B) · 69 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. 187 tok/s Runs great
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 75/100 (quality, fit, speed and memory use) sets the ranking. 0.8 tok/s Very slow 51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 4.1 tok/s Slowheavy RAM offload
Hermes 3 (Llama 3.1 70B)Nous Research · 71B 64Good quality (B) · 64 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. 0.7 tok/s Very slowtight fit 57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slowheavy RAM offload
QVQ 72B PreviewAlibaba · 73B 64Good quality (B) · 64 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. 0.7 tok/s Very slowtight fit 47Fair quality (C) · 47 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. 4.8 tok/s Slowheavy RAM offload
Olmo 3.1 32B ThinkAi2 · 32B 75Great quality (A) · 75 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. 1.0 tok/s Very slow 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. 38.4 tok/s Runs welltight fit
Terminal RSI 27BTeriminal-RSI · 28B 67Good quality (B) · 67 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. 1.2 tok/s Very slow 64Good quality (B) · 64 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. 44.5 tok/s Runs great
SenseNova Loop 9B PreviewSenseTime · 9.7B 77Great quality (A) · 77 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. 3.4 tok/s Slow 78Great quality (A) · 78 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. 65.2 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 74/100 (quality, fit, speed and memory use) sets the ranking. 6.4 tok/s Slowtight fit 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
ERNIE 4.5 21B-A3BBaidu · 22B (3.0B active) 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 15.2 tok/s Runs well 63Good quality (B) · 63 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. 141 tok/s Runs great
EXAONE Deep 32BLG AI Research · 32B 73Great quality (A) · 73 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. 1.0 tok/s Very slow 70Great quality (A) · 70 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. 38.7 tok/s Runs welltight fit
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 74/100 (quality, fit, speed and memory use) sets the ranking. 12.6 tok/s Runs welltight fit 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
Ornith 1.5 9BDeepReinforce · 9.7B 76Great quality (A) · 76 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. 3.5 tok/s Slow 77Great quality (A) · 77 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. 65.3 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 74/100 (quality, fit, speed and memory use) sets the ranking. 7.7 tok/s Slowtight fit 52Fair quality (C) · 52 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. 24.0 tok/s Slowheavy RAM offload
Hemmingway 1.5Hemmingway · 27B 66Good quality (B) · 66 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. 1.2 tok/s Very slow 63Good quality (B) · 63 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. 46.0 tok/s Runs great
Llama 3.1 Nemotron 70B InstructNVIDIA · 71B 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. 0.7 tok/s Very slowtight fit 55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slowheavy RAM offload
Apertus v1.5 70BSwiss AI · 72B 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. 0.7 tok/s Very slowtight fit 55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.0 tok/s Slowheavy RAM offload
GLM-Z1 32B (0414)Zhipu AI · 33B 73Great quality (A) · 73 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. 1.0 tok/s Very slow 70Great quality (A) · 70 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. 38.0 tok/s Runs welltight fit
Command R (08-2024) 32BCohere · 32B 61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slow 58Good quality (B) · 58 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. 38.3 tok/s Runs welltight fit
DeepSeek R1 Distill Qwen 32BDeepSeek · 33B 71Great quality (A) · 71 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slow 68Good quality (B) · 68 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. 37.7 tok/s Runs welltight fit
Qwen3.5 9BAlibaba · 9.7B 75Great quality (A) · 75 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. 3.5 tok/s Slow 76Great quality (A) · 76 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. 65.3 tok/s Runs great
Ling 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI) · 7.9B (1.3B active) 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 32.8 tok/s Runs great 60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 113 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 73/100 (quality, fit, speed and memory use) sets the ranking. 9.6 tok/s Slowtight fit 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
Ornith 1.0 9BDeepReinforce · 9.7B 74Great quality (A) · 74 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. 3.5 tok/s Slow 75Great quality (A) · 75 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. 65.3 tok/s Runs great
Aya Vision 32BCohere · 33B 59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slow 57Good quality (B) · 57 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. 37.3 tok/s Runs welltight fit
Qwen2 72B InstructAlibaba · 73B 60Good quality (B) · 60 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. 0.7 tok/s Very slowtight fit 44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 5.0 tok/s Slowheavy RAM offload
Qwen2-VL 72B InstructAlibaba · 73B 60Good quality (B) · 60 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. 0.7 tok/s Very slowtight fit 44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 4.8 tok/s Slowheavy RAM offload
Aya Expanse 32BCohere · 32B 59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slow 57Good quality (B) · 57 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. 38.3 tok/s Runs welltight fit
OpenHands LM 32BAll Hands AI · 33B 69Good quality (B) · 69 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. 1.0 tok/s Very slow 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. 37.8 tok/s Runs welltight fit
OLMo 2 32B InstructAi2 · 32B 59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slow 57Good quality (B) · 57 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. 38.4 tok/s Runs welltight fit
TMax 9BAi2 · 9.0B 73Great quality (A) · 73 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. 3.7 tok/s Slow 74Great quality (A) · 74 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. 70.4 tok/s Runs great
LFM2 24B-A2BLiquid AI · 24B (2.3B active) 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 19.5 tok/s Runs well 54Fair quality (C) · 54 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. 174 tok/s Runs great
Gemma 2 27B ITGoogle · 27B 61Good quality (B) · 61 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. 1.2 tok/s Very slow 58Good quality (B) · 58 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. 45.5 tok/s Runs great
ERNIE 4.5 21B-A3B ThinkingBaidu · 22B (3.0B active) 66Good quality (B) · 66 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. 15.2 tok/s Runs well 69Good quality (B) · 69 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. 141 tok/s Runs great
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 71/100 (quality, fit, speed and memory use) sets the ranking. 12.4 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 58/100 (quality, fit, speed and memory use) sets the ranking. 38.2 tok/s Slowheavy RAM offload
Nemotron 3.5 Bolt E4BNVIDIA · 8.0B 66Good quality (B) · 66 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. 10.7 tok/s Runs well 70Great quality (A) · 70 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. 64.5 tok/s Runs great
Nous Hermes 2 Mixtral 8x7B DPONous Research · 47B (12.9B active) 50Fair quality (C) · 50 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. 3.0 tok/s Slow 36Basic quality (D) · 36 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 106 tok/s Runs welltight fit
Ling Mini 2.0 (16B-A1.4B)Ant Group (inclusionAI) · 16B (1.4B active) 49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 30.7 tok/s Runs great 52Fair quality (C) · 52 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. 166 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 71/100 (quality, fit, speed and memory use) sets the ranking. 4.6 tok/s Slowtight fit 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
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 71/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow 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. 42.4 tok/s Runs great
Qwen2.5 Coder 32B InstructAlibaba · 33B 66Good quality (B) · 66 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. 1.0 tok/s Very slow 63Good quality (B) · 63 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. 37.7 tok/s Runs welltight fit
Apertus 70B InstructSwiss AI · 71B 57Good quality (B) · 57 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. 0.7 tok/s Very slowtight fit 50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slowheavy RAM offload
Command R 35B (v01)Cohere · 35B 53Fair quality (C) · 53 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. 1.0 tok/s Very slow 37Basic quality (D) · 37 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. 16.4 tok/s Runs welloffloads to RAM
Kimi-VL A3B Thinking 2506Moonshot AI · 16B (3.0B active) 57Good quality (B) · 57 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. 15.2 tok/s Runs well 60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 117 tok/s Runs great
QwQ 32B PreviewAlibaba · 33B 65Good quality (B) · 65 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. 1.0 tok/s Very slow 62Good quality (B) · 62 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. 37.8 tok/s Runs welltight fit
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 71/100 (quality, fit, speed and memory use) sets the ranking. 0.7 tok/s Very slowtight fit 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
Jamba 1.5 MiniAI21 Labs · 52B (12.0B active) 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. 3.3 tok/s Slow 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 111 tok/s Runs welltight fit
Gemma 4 E4BGoogle · 8.0B 64Good quality (B) · 64 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. 10.7 tok/s Runs well 68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. 64.5 tok/s Runs great
Mixtral 8x7B InstructMistral AI · 47B (12.9B active) 48Fair quality (C) · 48 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. 3.0 tok/s Slow 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 106 tok/s Runs welltight fit
Llama 3.2 90B Vision InstructMeta · 89B 55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 0.7 tok/s Very slowtight fit 46Fair quality (C) · 46 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. 3.0 tok/s Slowheavy RAM offload
Nanbeige4.2 3BBOSS Zhipin (Nanbeige) · 4.2B 64Good quality (B) · 64 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. 11.5 tok/s Runs well 68Good quality (B) · 68 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. 69.6 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 70/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow 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. 41.7 tok/s Runs great
Groot 19B A3B 261023GrootTeam · 19B (3.0B active) 54Fair quality (C) · 54 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. 15.2 tok/s Runs well 56Good quality (B) · 56 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. 141 tok/s Runs great
Gemma 4 E2BGoogle · 5.1B 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 20.9 tok/s Runs well 62Good quality (B) · 62 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. 126 tok/s Runs great
Llama 3 70B InstructMeta · 71B 55Good quality (B) · 55 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 0.7 tok/s Very slowtight fit 48Fair quality (C) · 48 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slowheavy RAM offload
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 70/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow 35Basic quality (D) · 35 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. 65.6 tok/s Runs welloffloads to RAM
Granite 4.2 8BIBM · 8.8B 67Good quality (B) · 67 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. 3.8 tok/s Slow 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 71.7 tok/s Runs great
Nemotron Labs Dory 1.0 4BNVIDIA · 4.0B 64Good quality (B) · 64 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. 12.1 tok/s Runs well 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. 72.9 tok/s Runs great
Mellum2.1 Thinking (12B-A2.5B)JetBrains · 12B (2.5B active) 66Good quality (B) · 66 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. 18.0 tok/s Runs well 70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 129 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 69/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow 68Good quality (B) · 68 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. 42.6 tok/s Runs great
MiMo V2.6 Distill Qwen 9BXiaomi · 9.4B 77Great quality (A) · 77 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. 3.5 tok/s Slow 78Great quality (A) · 78 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. 66.9 tok/s Runs great
Spark-X2.6 4BSparkLLM · 4.1B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 11.7 tok/s Runs well 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. 70.6 tok/s Runs great
Aya 23 35BCohere · 35B 49Fair quality (C) · 49 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. 1.0 tok/s Very slow 35Basic quality (D) · 35 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. 16.4 tok/s Runs welloffloads to RAM
LFM2.5 8B-A1BLiquid AI · 8.5B (1.5B active) 49Fair quality (C) · 49 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. 28.9 tok/s Runs well 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. 105 tok/s Runs great
Yi 1.5 34B Chat01.AI · 34B 49Fair quality (C) · 49 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. 1.0 tok/s Very slow 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. 36.0 tok/s Runs welltight fit
LFM3 1.7BLiquid AI · 1.7B 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 27.8 tok/s Runs well 56Good quality (B) · 56 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. 168 tok/s Runs great
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 68/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 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. 42.6 tok/s Runs great
MiniCPM5 2BOpenBMB · 2.5B 57Good quality (B) · 57 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. 19.1 tok/s Runs well 60Good quality (B) · 60 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. 115 tok/s Runs great
SenseNova 6.8 Code2VideoSenseTime · 27B 65Good quality (B) · 65 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. 1.2 tok/s Very slow 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. 45.2 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 68/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow 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. 41.7 tok/s Runs great
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 68/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 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. 42.9 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 68/100 (quality, fit, speed and memory use) sets the ranking. 0.8 tok/s Very slowtight fit 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
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 68/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow 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. 45.2 tok/s Runs great
Qwen3-VL 8B InstructAlibaba · 8.8B 61Good quality (B) · 61 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. 3.8 tok/s Slow 62Good quality (B) · 62 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 71.8 tok/s Runs great
InternVL3.5 8BShanghai AI Lab · 8.5B 61Good quality (B) · 61 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. 3.9 tok/s Slow 62Good quality (B) · 62 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. 73.8 tok/s Runs great
Granite 4.0 H Tiny (7B-A1B)IBM · 6.9B (1.0B active) 41Fair quality (C) · 41 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. 41.3 tok/s Runs great 44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 128 tok/s Runs great
Qwen3.5 4BAlibaba · 4.7B 58Good quality (B) · 58 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. 10.3 tok/s Runs well 62Good quality (B) · 62 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. 62.3 tok/s Runs great
TMax 4BAi2 · 4.2B 57Good quality (B) · 57 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. 11.4 tok/s Runs well 61Good quality (B) · 61 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. 69.0 tok/s Runs great
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 67/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 62Good quality (B) · 62 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. 42.9 tok/s Runs great
Granite 4.1 8BIBM · 8.8B 59Good quality (B) · 59 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. 3.8 tok/s Slow 60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 71.7 tok/s Runs great
Kimi-VL A3B InstructMoonshot AI · 16B (3.0B active) 47Fair quality (C) · 47 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. 15.2 tok/s Runs well 50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 117 tok/s Runs great
MiniCPM-V 4.5 8BOpenBMB · 8.7B 59Good quality (B) · 59 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. 3.8 tok/s Slow 60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 72.4 tok/s Runs great
Qwen3 8BAlibaba · 8.2B 59Good quality (B) · 59 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. 4.1 tok/s Slow 60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 76.9 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 66/100 (quality, fit, speed and memory use) sets the ranking. 0.7 tok/s Very slowtight fit 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
GLM-4.1V 9B ThinkingZhipu AI · 10B 59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow 60Good quality (B) · 60 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. 61.2 tok/s Runs great
Agents-A1 4BInternScience · 4.5B 57Good quality (B) · 57 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. 10.6 tok/s Runs well 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. 63.9 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 66/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 72Great quality (A) · 72 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. 43.0 tok/s Runs great
Nemotron Nano 9B v2NVIDIA · 8.9B 59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow 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. 70.9 tok/s Runs great
LLaVA 1.6 34BLLaVA · 35B 43Fair quality (C) · 43 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. 1.0 tok/s Very slow 36Basic quality (D) · 36 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. 46.0 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 66/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 42.6 tok/s Runs great
Gemma 3 12B ITGoogle · 12B 58Good quality (B) · 58 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. 3.3 tok/s Slow 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. 51.6 tok/s Runs great
Qwen1.5 32B ChatAlibaba · 33B 43Fair quality (C) · 43 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. 1.0 tok/s Very slow 41Fair quality (C) · 41 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. 38.1 tok/s Runs welltight fit
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 66/100 (quality, fit, speed and memory use) sets the ranking. 0.8 tok/s Very slowtight fit 44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
UI-Mate 9BTencent · 9.4B 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow 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. 66.9 tok/s Runs great
UI-Venus 2 9BAnt Group (inclusionAI) · 9.4B 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow 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. 66.9 tok/s Runs great
MiMo-VL 7B RLXiaomi · 8.3B 57Good quality (B) · 57 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. 4.0 tok/s Slow 58Good quality (B) · 58 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 75.8 tok/s Runs great
Fara 1.5 4BMicrosoft · 4.5B 55Good quality (B) · 55 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. 10.6 tok/s 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. 63.9 tok/s Runs great
LFM3-VL 2BLiquid AI · 1.9B 47Fair quality (C) · 47 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. 25.0 tok/s Runs well 50Fair quality (C) · 50 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. 151 tok/s Runs great
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 65/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 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. 43.0 tok/s Runs great
Qwen2.5-Math 72B InstructAlibaba · 73B 55Good quality (B) · 55 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. 0.7 tok/s Very slowtight fit 40Fair quality (C) · 40 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. 5.6 tok/s Slowoffloads to RAM
Phi-3.5 MoE (42B-A6.6B)Microsoft · 42B (6.6B active) 39Basic quality (D) · 39 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. 11.5 tok/s Runs well 47Fair quality (C) · 47 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 136 tok/s Runs welltight fit
Mage-VL 4.7BMicrosoft · 4.7B 53Fair quality (C) · 53 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. 10.1 tok/s Runs well 56Good quality (B) · 56 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. 61.2 tok/s Runs great
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 65/100 (quality, fit, speed and memory use) sets the ranking. 6.5 tok/s Slowover memory limit 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
Moonlight 16B-A3B InstructMoonshot AI · 16B (3.0B active) 43Fair quality (C) · 43 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. 15.2 tok/s Runs well 46Fair quality (C) · 46 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. 117 tok/s Runs great
Ministral 3 8BMistral AI · 8.9B 55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow 56Good quality (B) · 56 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. 70.6 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 65/100 (quality, fit, speed and memory use) sets the ranking. 5.5 tok/s Slowover memory limit 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
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 65/100 (quality, fit, speed and memory use) sets the ranking. 6.5 tok/s Slowover memory limit 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
Devstral Small 2 (24B)Mistral AI · 24B 53Fair quality (C) · 53 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. 3.3 tok/s Slow 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. 42.6 tok/s Runs great
Qwen3 4B Instruct 2507Alibaba · 4.0B 51Fair quality (C) · 51 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. 11.9 tok/s Runs well 54Fair quality (C) · 54 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. 72.2 tok/s Runs great
InternVL3 8BShanghai AI Lab · 7.9B 55Good quality (B) · 55 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. 4.2 tok/s Slow 56Good quality (B) · 56 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. 79.3 tok/s Runs great
Qwen3-VL 4B InstructAlibaba · 4.4B 51Fair quality (C) · 51 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. 10.8 tok/s Runs well 54Fair quality (C) · 54 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 65.4 tok/s Runs great
Yi 34B Chat01.AI · 34B 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. 1.0 tok/s Very slow 38Basic quality (D) · 38 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. 36.0 tok/s Runs welltight fit
Llama 3.1 Nemotron Nano 8B v1NVIDIA · 8.0B 53Fair quality (C) · 53 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. 4.1 tok/s Slow 54Fair quality (C) · 54 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. 78.4 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. 12.5 tok/s Runs wellover 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
Granite 4.2 3BIBM · 3.7B 49Fair quality (C) · 49 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. 13.1 tok/s Runs well 52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 79.3 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 64/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow 66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 42.1 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 64/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 42.6 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 64/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 42.6 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 64/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 42.6 tok/s Runs great
MiniCPM4 8BOpenBMB · 8.2B 53Fair quality (C) · 53 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. 4.1 tok/s Slow 54Fair quality (C) · 54 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. 76.9 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 63/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow 66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 45.2 tok/s Runs great
DeepSeek Coder V2 Lite (16B)DeepSeek · 16B (2.4B active) 49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 18.7 tok/s Runs well 52Fair quality (C) · 52 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. 131 tok/s Runs great
Falcon 3 10B InstructTII · 10B 51Fair quality (C) · 51 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. 3.2 tok/s Slow 52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 61.1 tok/s Runs great
DeepSeek V2 Lite ChatDeepSeek · 16B (2.4B active) 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 18.7 tok/s Runs well 40Fair quality (C) · 40 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. 131 tok/s Runs great
Mistral Nemo 12B InstructMistral AI · 12B 50Fair quality (C) · 50 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. 3.3 tok/s Slow 52Fair quality (C) · 52 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. 51.6 tok/s Runs great
LFM2 8B-A1BLiquid AI · 8.3B (1.5B active) 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 28.9 tok/s Runs well 38Basic quality (D) · 38 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. 105 tok/s Runs great
DeepSeek LLM 67B ChatDeepSeek · 67B 38Basic quality (D) · 38 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. 0.6 tok/s Very slowtight fit 28Basic quality (D) · 28 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. 7.0 tok/s Slowoffloads to RAM
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 63/100 (quality, fit, speed and memory use) sets the ranking. 5.5 tok/s Slowover memory limit 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
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 63/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 64Good quality (B) · 64 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. 42.6 tok/s Runs great
Qwen3 4BAlibaba · 4.0B 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 11.9 tok/s Runs well 50Fair quality (C) · 50 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. 72.2 tok/s Runs great
GLM-4 9B 0414Zhipu AI · 9.4B 51Fair quality (C) · 51 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. 3.5 tok/s Slow 52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 67.0 tok/s Runs great
MiniCPM-o 2.6 8BOpenBMB · 8.7B 51Fair quality (C) · 51 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. 3.8 tok/s Slow 52Fair quality (C) · 52 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. 72.7 tok/s Runs great
NorthCUA Nanobeipo-ai · 9.4B 51Fair quality (C) · 51 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. 3.5 tok/s Slow 52Fair quality (C) · 52 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. 66.9 tok/s Runs great
Unlimited OCR 2 (3B-A0.6B)Baidu · 3.3B (0.6B active) 43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 46.3 tok/s Runs great 44Fair quality (C) · 44 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. 155 tok/s Runs great
Devstral Small 1.1 (24B)Mistral AI · 24B 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 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. 43.4 tok/s Runs great
Magistral Small 2507Mistral AI · 24B 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 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. 43.4 tok/s Runs great
DeepSeek R1 0528 Qwen3 8BDeepSeek · 8.2B 61Good quality (B) · 61 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. 4.1 tok/s Slow 62Good quality (B) · 62 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. 76.9 tok/s Runs great
MiniCPM5 1BOpenBMB · 1.1B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 44.5 tok/s Runs great 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. 269 tok/s Runs great
MiniCPM-V 4.7 1BOpenBMB · 1.6B 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. 31.0 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. 187 tok/s Runs great
Nemotron 3 Nano 4BNVIDIA · 4.0B 47Fair quality (C) · 47 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. 12.1 tok/s Runs well 50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 73.1 tok/s Runs great
Pixtral 12B (2409)Mistral AI · 12B 48Fair quality (C) · 48 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. 3.2 tok/s Slow 50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 50.8 tok/s Runs great
Mistral Small 3.2 24BMistral AI · 24B 47Fair quality (C) · 47 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. 3.3 tok/s Slow 65Good quality (B) · 65 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. 42.6 tok/s Runs great
Magistral Small 2506Mistral AI · 24B 47Fair quality (C) · 47 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. 3.3 tok/s Slow 65Good quality (B) · 65 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. 43.4 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 62/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 62Good quality (B) · 62 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. 42.6 tok/s Runs great
North Micro VisionCohere · 2.5B 41Fair quality (C) · 41 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. 19.4 tok/s Runs well 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. 117 tok/s Runs great
Qwen2.5-VL 7B InstructAlibaba · 8.3B 49Fair quality (C) · 49 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. 5.8 tok/s Slow 52Fair quality (C) · 52 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. 76.0 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 62/100 (quality, fit, speed and memory use) sets the ranking. 0.7 tok/s Very slowtight fit 36Basic quality (D) · 36 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 62/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 62Good quality (B) · 62 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. 42.6 tok/s Runs great
Gemma 3n E4BGoogle · 7.9B 43Fair quality (C) · 43 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. 12.0 tok/s Runs well 46Fair quality (C) · 46 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 72.6 tok/s Runs great
Mage-VL-Cowork 4.7BMicrosoft · 4.7B 57Good quality (B) · 57 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. 10.1 tok/s Runs well 60Good quality (B) · 60 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. 61.2 tok/s Runs great
Gemma 2 9B ITGoogle · 9.2B 47Fair quality (C) · 47 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. 5.2 tok/s Slow 50Fair quality (C) · 50 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. 68.2 tok/s Runs great
Granite 4.1 3BIBM · 3.4B 43Fair quality (C) · 43 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. 14.1 tok/s Runs well 46Fair quality (C) · 46 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. 85.4 tok/s Runs great
Mistral Small 3.1 24BMistral AI · 24B 46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 64Good quality (B) · 64 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. 42.6 tok/s Runs great
Foundation-Sec 1.1 8B InstructCisco Foundation AI · 8.0B 47Fair quality (C) · 47 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. 6.0 tok/s Slow 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. 78.4 tok/s Runs great
InternVL2.5 8BShanghai AI Lab · 8.1B 47Fair quality (C) · 47 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. 5.9 tok/s Slow 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. 78.0 tok/s Runs great
TMax 2BAi2 · 1.9B 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. 25.5 tok/s Runs well 40Fair quality (C) · 40 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. 154 tok/s Runs great
LFM2.5 2.6BLiquid AI · 2.7B 41Fair quality (C) · 41 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. 17.8 tok/s Runs well 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. 108 tok/s Runs great
DeepSeek Coder 33B InstructDeepSeek · 33B 43Fair quality (C) · 43 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. 1.0 tok/s Very slow 36Basic quality (D) · 36 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 48.0 tok/s Runs great
GLiDE 9BFastino · 7.9B 47Fair quality (C) · 47 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. 6.0 tok/s Slow 50Fair quality (C) · 50 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. 79.3 tok/s Runs great
InternLM3 8B InstructShanghai AI Lab · 8.8B 47Fair quality (C) · 47 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. 5.5 tok/s Slow 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. 71.6 tok/s Runs great
Llama 2 70B ChatMeta · 69B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 0.7 tok/s Very slowtight fit 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 6.6 tok/s Slowoffloads to RAM
Unlimited OCR (3B-A0.6B)Baidu · 3.3B (0.6B active) 39Basic quality (D) · 39 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. 46.3 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. 155 tok/s Runs great
Mistral Small 3 24B (2501)Mistral AI · 24B 44Fair quality (C) · 44 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. 3.3 tok/s Slow 62Good quality (B) · 62 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. 43.4 tok/s Runs great
LFM2.5 1.2B InstructLiquid AI · 1.2B 30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 41.0 tok/s Runs great 32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 248 tok/s Runs great
LFM2.5-VL 3BLiquid AI · 3.1B 41Fair quality (C) · 41 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. 15.4 tok/s Runs well 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. 93.0 tok/s Runs great
Seed-Coder 8B ReasoningByteDance · 8.3B 57Good quality (B) · 57 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. 4.0 tok/s Slow 58Good quality (B) · 58 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. 76.4 tok/s Runs great
Hermes 3 (Llama 3.1 8B)Nous Research · 8.0B 45Fair quality (C) · 45 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. 6.0 tok/s Slow 48Fair quality (C) · 48 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. 78.4 tok/s Runs great
Llama 3.1 8B InstructMeta · 8.0B 45Fair quality (C) · 45 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. 6.0 tok/s Slow 48Fair quality (C) · 48 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. 78.4 tok/s Runs great
Jamba Reasoning 3BAI21 Labs · 3.2B 41Fair quality (C) · 41 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. 15.0 tok/s Runs well 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. 90.7 tok/s Runs great
GLM-Z1 9B (0414)Zhipu AI · 9.4B 57Good quality (B) · 57 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. 3.5 tok/s Slow 58Good quality (B) · 58 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. 67.0 tok/s Runs great
Qwen3 4B Thinking 2507Alibaba · 4.0B 53Fair quality (C) · 53 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. 11.9 tok/s Runs well 56Good quality (B) · 56 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. 72.2 tok/s Runs great
PaddleOCR-VL 1.6 0.9BBaidu · 1.0B 40Fair quality (C) · 40 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 41.3 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. 302 tok/s Runs great
Phi-4 Mini (3.8B)Microsoft · 3.8B 41Fair quality (C) · 41 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. 12.5 tok/s Runs well 44Fair quality (C) · 44 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. 75.6 tok/s Runs great
Qwen3.5 2BAlibaba · 2.3B 38Basic quality (D) · 38 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. 21.1 tok/s Runs well 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. 128 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 60/100 (quality, fit, speed and memory use) sets the ranking. 5.1 tok/s Slow 48Fair quality (C) · 48 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. 66.4 tok/s Runs great
MiniCPM-V 2.6 8BOpenBMB · 8.1B 45Fair quality (C) · 45 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. 5.9 tok/s Slow 48Fair quality (C) · 48 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. 77.8 tok/s Runs great
Ministral 3 3BMistral AI · 3.9B 41Fair quality (C) · 41 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. 12.5 tok/s Runs well 44Fair quality (C) · 44 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. 75.4 tok/s Runs great
Voxtral Small 24BMistral AI · 24B 43Fair quality (C) · 43 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. 3.3 tok/s Slow 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. 42.1 tok/s Runs great
Dolphin Mistral 24B Venice EditionCognitive Computations · 24B 43Fair quality (C) · 43 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. 3.3 tok/s Slow 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. 42.6 tok/s Runs great
Gemma 3n E2BGoogle · 5.4B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 24.0 tok/s Runs well 36Basic quality (D) · 36 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. 145 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 60/100 (quality, fit, speed and memory use) sets the ranking. 5.1 tok/s Slow 48Fair quality (C) · 48 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. 67.0 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 60/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow 46Fair quality (C) · 46 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. 45.1 tok/s Runs great
Gemma 3 4B ITGoogle · 4.3B 42Fair quality (C) · 42 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. 11.2 tok/s Runs well 45Fair quality (C) · 45 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. 67.5 tok/s Runs great
SmolLM3 3BHugging Face · 3.1B 39Basic quality (D) · 39 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. 15.6 tok/s Runs well 42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 94.3 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 60/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow 44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 45.9 tok/s Runs great
Jamba2 3BAI21 Labs · 3.0B 39Basic quality (D) · 39 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. 15.8 tok/s Runs well 42Fair quality (C) · 42 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. 95.8 tok/s Runs great
Llama 3.1 Nemotron Nano 4B v1.1NVIDIA · 4.5B 41Fair quality (C) · 41 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. 10.6 tok/s Runs well 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. 64.4 tok/s Runs great
Granite 3.2 8B InstructIBM · 8.2B 43Fair quality (C) · 43 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. 5.9 tok/s Slow 46Fair quality (C) · 46 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. 77.1 tok/s Runs great
Granite 3.3 8BIBM · 8.2B 43Fair quality (C) · 43 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. 5.9 tok/s Slow 46Fair quality (C) · 46 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. 77.1 tok/s Runs great
Ministral 8B (2410)Mistral AI · 8.0B 43Fair quality (C) · 43 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. 6.0 tok/s Slow 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. 78.5 tok/s Runs great
Seed-Coder 8B InstructByteDance · 8.3B 55Good quality (B) · 55 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. 4.0 tok/s Slow 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. 76.4 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 60/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow 46Fair quality (C) · 46 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. 45.1 tok/s Runs great
DeepHermes 3 Llama 3 8B PreviewNous Research · 8.0B 43Fair quality (C) · 43 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. 6.0 tok/s Slow 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. 78.4 tok/s Runs great
Dolphin 3.0 Llama 3.1 8BCognitive Computations · 8.0B 43Fair quality (C) · 43 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. 6.0 tok/s Slow 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. 78.4 tok/s Runs great
Tülu 3 8BAi2 · 8.0B 43Fair quality (C) · 43 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. 6.0 tok/s Slow 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. 78.4 tok/s Runs great
MedGemma 4B ITGoogle · 4.3B 41Fair quality (C) · 41 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. 11.2 tok/s Runs well 44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 67.5 tok/s Runs great
Apertus v1.5 8BSwiss AI · 8.9B 43Fair quality (C) · 43 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. 5.4 tok/s Slow 46Fair quality (C) · 46 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. 70.8 tok/s Runs great
InternLM2.5 20B ChatShanghai AI Lab · 20B 42Fair quality (C) · 42 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. 3.1 tok/s Slow 49Fair quality (C) · 49 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. 43.2 tok/s Runs great
EXAONE 4.0 1.2BLG AI Research · 1.3B 28Basic quality (D) · 28 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 37.5 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. 227 tok/s Runs great
Phi-3.5 Mini InstructMicrosoft · 3.8B 38Basic quality (D) · 38 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. 12.6 tok/s Runs well 40Fair quality (C) · 40 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. 76.0 tok/s Runs great
Dolphin 3.0 R1 Mistral 24BCognitive Computations · 24B 42Fair quality (C) · 42 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. 3.3 tok/s Slow 58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. 43.4 tok/s Runs great
MiniCPM-OCR 1.0 1.3BOpenBMB · 1.3B 39Basic quality (D) · 39 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. 36.9 tok/s Runs great 42Fair quality (C) · 42 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. 223 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 59/100 (quality, fit, speed and memory use) sets the ranking. 12.5 tok/s Runs wellover 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
Solar Pro Preview 22BUpstage · 22B 42Fair quality (C) · 42 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. 3.6 tok/s Slow 58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. 46.2 tok/s Runs great
Code Llama 70B InstructMeta · 69B 41Fair quality (C) · 41 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. 0.7 tok/s Very slowtight fit 30Basic quality (D) · 30 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. 6.6 tok/s Slowoffloads to RAM
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 59/100 (quality, fit, speed and memory use) sets the ranking. 4.5 tok/s Slow 46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 58.7 tok/s Runs great
Qwen3-VL 2B InstructAlibaba · 2.1B 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. 22.5 tok/s Runs well 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. 136 tok/s Runs great
Hunyuan 4B InstructTencent · 4.2B 39Basic quality (D) · 39 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. 11.4 tok/s Runs well 42Fair quality (C) · 42 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. 68.8 tok/s Runs great
Granite 3.1 8B InstructIBM · 8.2B 41Fair quality (C) · 41 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. 5.9 tok/s Slow 44Fair quality (C) · 44 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. 77.1 tok/s Runs great
Granite 4.0 Micro (3B)IBM · 3.4B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 14.1 tok/s Runs well 40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 85.4 tok/s Runs great
Dolphin 2.9.4 Llama 3.1 8BCognitive Computations · 8.0B 41Fair quality (C) · 41 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. 6.0 tok/s Slow 44Fair quality (C) · 44 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. 78.4 tok/s Runs great
Hermes 2 Pro Llama 3 8BNous Research · 8.0B 41Fair quality (C) · 41 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. 6.0 tok/s Slow 44Fair quality (C) · 44 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. 78.4 tok/s Runs great
OpenChat 3.6 8BOpenChat · 8.0B 41Fair quality (C) · 41 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. 6.0 tok/s Slow 44Fair quality (C) · 44 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. 78.4 tok/s Runs great
InternVL2 8BShanghai AI Lab · 8.1B 41Fair quality (C) · 41 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. 5.9 tok/s Slow 44Fair quality (C) · 44 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. 78.0 tok/s Runs great
Granite Code 34B InstructIBM · 34B 39Basic quality (D) · 39 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. 1.0 tok/s Very slow 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 36.7 tok/s Runs welltight fit
MiMo 7B RLXiaomi · 7.8B 39Basic quality (D) · 39 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. 10.1 tok/s Runs well 56Good quality (B) · 56 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. 80.4 tok/s Runs great
Qwen2-VL 7B InstructAlibaba · 8.3B 41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 5.8 tok/s Slow 44Fair quality (C) · 44 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. 76.0 tok/s Runs great
Command R7BCohere · 8.0B 41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 6.0 tok/s Slow 44Fair quality (C) · 44 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. 78.4 tok/s Runs great
Aya Vision 8BCohere · 8.6B 41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 5.6 tok/s Slow 44Fair quality (C) · 44 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. 73.0 tok/s Runs great
Phi-3.5 Vision InstructMicrosoft · 4.2B 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 11.6 tok/s Runs well 38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 70.0 tok/s Runs great
Code Llama 34B InstructMeta · 34B 37Basic quality (D) · 37 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. 1.0 tok/s Very slow 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 36.7 tok/s Runs welltight fit
TeleOCRXingChen-AGI · 1.4B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 33.8 tok/s Runs great 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. 204 tok/s Runs great
Qwen3.5 0.8BAlibaba · 0.9B 25Basic quality (D) · 25 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 45.6 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. 334 tok/s Runs great
Magistral Small 1.2 (24B)Mistral AI · 24B 50Fair quality (C) · 50 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. 3.3 tok/s Slow 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. 42.6 tok/s Runs great
OLMoE 1B-7B InstructAi2 · 6.9B (1.3B active) 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 41.3 tok/s Runs great 26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 113 tok/s Runs great
LFM2 1.2BLiquid AI · 1.2B 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 41.0 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. 248 tok/s Runs great
Mistral-NeMo-Minitron 8B InstructNVIDIA · 8.4B 39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 5.7 tok/s Slow 42Fair quality (C) · 42 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. 74.9 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 58/100 (quality, fit, speed and memory use) sets the ranking. 4.5 tok/s Slow 42Fair quality (C) · 42 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. 59.0 tok/s Runs great
Granite 4.0 H MicroIBM · 3.2B 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 15.1 tok/s Runs well 38Basic quality (D) · 38 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. 91.0 tok/s Runs great
Llama 3 8B InstructMeta · 8.0B 39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 6.0 tok/s Slow 42Fair quality (C) · 42 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. 78.4 tok/s Runs great
AFM 4.5BArcee AI · 4.6B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 10.4 tok/s Runs well 40Fair quality (C) · 40 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. 62.8 tok/s Runs great
Phi-4 Multimodal InstructMicrosoft · 5.6B 36Basic quality (D) · 36 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 11.1 tok/s Runs well 44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 52.1 tok/s Runs great
Phi-3 Mini 128K InstructMicrosoft · 3.8B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 12.6 tok/s Runs well 36Basic quality (D) · 36 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. 76.0 tok/s Runs great
Mistral Small 22B (2409)Mistral AI · 22B 37Basic quality (D) · 37 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. 3.5 tok/s Slow 52Fair quality (C) · 52 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. 45.9 tok/s Runs great
Command R7B ArabicCohere · 8.0B 39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 6.0 tok/s Slow 42Fair quality (C) · 42 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. 78.4 tok/s Runs great
Granite 4.0 H 1BIBM · 1.5B 23Basic quality (D) · 23 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 42.5 tok/s Runs great 28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 199 tok/s Runs great
Hunyuan 7B InstructTencent · 7.5B 36Basic quality (D) · 36 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. 10.5 tok/s Runs well 52Fair quality (C) · 52 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. 84.0 tok/s Runs great
Qianfan-OCR 4BBaidu · 4.7B 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 10.1 tok/s Runs well 50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 61.2 tok/s Runs great
Falcon-H1 3B InstructTII · 3.2B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 15.2 tok/s Runs well 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. 92.2 tok/s Runs great
MiniCPM3 4BOpenBMB · 4.1B 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 11.8 tok/s Runs well 38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 71.3 tok/s Runs great
Foundation-Sec 8B ReasoningCisco Foundation AI · 8.0B 49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 6.0 tok/s Slow 52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 78.4 tok/s Runs great
LFM2 2.6BLiquid AI · 2.6B 32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 18.7 tok/s Runs well 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. 113 tok/s Runs great
Qwen2.5 7B InstructAlibaba · 7.6B 36Basic quality (D) · 36 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. 10.3 tok/s Runs well 52Fair quality (C) · 52 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. 82.7 tok/s Runs great
Phi-3 Mini 4K InstructMicrosoft · 3.8B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 12.6 tok/s Runs well 36Basic quality (D) · 36 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. 76.0 tok/s Runs great
Aya Expanse 8BCohere · 8.0B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 6.0 tok/s Slow 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. 78.4 tok/s Runs great
Apertus 8B InstructSwiss AI · 8.1B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 6.0 tok/s Slow 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. 78.2 tok/s Runs great
Qwen1.5 14B ChatAlibaba · 14B 32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow 33Basic quality (D) · 33 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. 60.6 tok/s Runs great
Olmo 3 7B InstructAi2 · 7.3B 35Basic quality (D) · 35 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. 10.8 tok/s Runs well 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. 86.3 tok/s Runs great
Llama 3.2 3B InstructMeta · 3.2B 33Basic quality (D) · 33 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 15.0 tok/s Runs well 35Basic quality (D) · 35 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. 90.4 tok/s Runs great
DeepSeek MoE 16B ChatDeepSeek · 16B (2.8B active) 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 16.2 tok/s Runs well 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. 121 tok/s Runs great
Qwen3 1.7BAlibaba · 2.0B 25Basic quality (D) · 25 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. 30.6 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. 143 tok/s Runs great
Granite 3.0 8B InstructIBM · 8.2B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 5.9 tok/s Slow 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. 77.1 tok/s Runs great
Falcon-H1 1.5B InstructTII · 1.6B 21Basic quality (D) · 21 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. 40.0 tok/s Runs great 26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 187 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 57/100 (quality, fit, speed and memory use) sets the ranking. 4.5 tok/s Slow 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. 58.7 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 57/100 (quality, fit, speed and memory use) sets the ranking. 4.5 tok/s Slow 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. 58.7 tok/s Runs great
Phi-3 Vision 128K InstructMicrosoft · 4.2B 32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 11.6 tok/s Runs well 34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 70.0 tok/s Runs great
Granite 3.1 3B-A800M InstructIBM · 3.3B (0.8B active) 19Basic quality (D) · 19 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 42.2 tok/s Runs great 20Basic quality (D) · 20 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. 140 tok/s Runs great
InternLM2 Chat 20BShanghai AI Lab · 20B 35Basic quality (D) · 35 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow 41Fair quality (C) · 41 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. 43.2 tok/s Runs great
Qwen2.5 7B Instruct 1MAlibaba · 7.6B 35Basic quality (D) · 35 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. 10.3 tok/s Runs well 50Fair quality (C) · 50 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. 82.7 tok/s Runs great
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 56/100 (quality, fit, speed and memory use) sets the ranking. 0.5 tok/s Very slowover 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
Falcon-H1 7B InstructTII · 7.6B 35Basic quality (D) · 35 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. 10.4 tok/s Runs well 50Fair quality (C) · 50 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. 83.0 tok/s Runs great
Qwen2.5 3B InstructAlibaba · 3.1B 32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 15.5 tok/s Runs well 34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 93.9 tok/s Runs great
S5 nanoMaritaca AI · 4.7B 35Basic quality (D) · 35 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 10.3 tok/s Runs well 37Basic quality (D) · 37 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. 62.3 tok/s Runs great
Raon 1 nanoKRAFTON · 3.5B 33Basic quality (D) · 33 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 13.6 tok/s Runs well 35Basic quality (D) · 35 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. 82.2 tok/s Runs great
DeepSeek R1 Distill Llama 8BDeepSeek · 8.0B 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 6.0 tok/s Slow 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. 78.4 tok/s Runs great
Devstral Small 2505Mistral AI · 24B 46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow 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. 43.4 tok/s Runs great
Voxtral Mini 3BMistral AI · 4.7B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 10.3 tok/s Runs well 36Basic quality (D) · 36 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. 62.0 tok/s Runs great
Llama 3.2 1B InstructMeta · 1.2B 20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 38.7 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. 234 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 Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 6.0 tok/s Slow 38Basic quality (D) · 38 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. 78.4 tok/s Runs great
LightOnOCR-3 4BLightOn · 4.5B 45Fair quality (C) · 45 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 10.6 tok/s Runs well 48Fair quality (C) · 48 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. 63.9 tok/s Runs great
Phi-4 Mini Reasoning (3.8B)Microsoft · 3.8B 43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 12.5 tok/s Runs well 46Fair quality (C) · 46 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. 75.6 tok/s Runs great
Qwen2.5 1.5B InstructAlibaba · 1.5B 20Basic quality (D) · 20 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 40.3 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. 189 tok/s Runs great
CogVLM2 Llama 3 Chat 19BZhipu AI · 20B 31Basic quality (D) · 31 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow 36Basic quality (D) · 36 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. 52.4 tok/s Runs great
Fara 7BMicrosoft · 8.3B 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 5.8 tok/s Slow 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. 76.0 tok/s Runs great
Reka Flash 3.1 (21B)Reka AI · 21B 46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slow 65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 41.1 tok/s Runs great
LFM2-VL 1.6BLiquid AI · 1.6B 20Basic quality (D) · 20 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 39.3 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. 184 tok/s Runs great
EXAONE 3.5 2.4BLG AI Research · 2.4B 28Basic quality (D) · 28 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 19.9 tok/s Runs well 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. 120 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 56/100 (quality, fit, speed and memory use) sets the ranking. 0.5 tok/s Very slowover 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 56/100 (quality, fit, speed and memory use) sets the ranking. 0.5 tok/s Very slowover 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
Qwen2.5-VL 3B InstructAlibaba · 3.8B 32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 12.8 tok/s Runs well 34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 77.4 tok/s Runs great
Granite 3.2 2B InstructIBM · 2.5B 28Basic quality (D) · 28 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 19.0 tok/s Runs well 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. 115 tok/s Runs great
Granite 3.3 2BIBM · 2.5B 28Basic quality (D) · 28 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 19.0 tok/s Runs well 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. 115 tok/s Runs great
Hermes 3 Llama 3.2 3BNous Research · 3.2B 30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 15.0 tok/s Runs well 32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 90.4 tok/s Runs great
Gemma 3 1BGoogle · 1.0B 19Basic quality (D) · 19 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 39.7 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. 290 tok/s Runs great
Granite 3.0 3B-A800M InstructIBM · 3.4B (0.8B active) 17Basic quality (D) · 17 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 42.2 tok/s Runs great 18Basic quality (D) · 18 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. 140 tok/s Runs great
Falcon 3 7B InstructTII · 7.5B 32Basic quality (D) · 32 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. 10.6 tok/s Runs well 46Fair quality (C) · 46 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. 84.4 tok/s Runs great
EXAONE 3.5 7.8BLG AI Research · 7.8B 32Basic quality (D) · 32 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. 10.1 tok/s Runs well 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. 80.6 tok/s Runs great
Qwen1.5 MoE A2.7B ChatAlibaba · 14B (2.7B active) 20Basic quality (D) · 20 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 21.4 tok/s Runs well 24Basic quality (D) · 24 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. 124 tok/s Runs great
Codestral 22BMistral AI · 22B 43Fair quality (C) · 43 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. 3.5 tok/s Slow 60Good quality (B) · 60 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. 45.9 tok/s Runs great
Yi 1.5 9B Chat01.AI · 8.8B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 5.4 tok/s Slow 36Basic quality (D) · 36 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. 71.3 tok/s Runs great
LFM2 700MLiquid AI · 0.7B 17Basic quality (D) · 17 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. 45.0 tok/s Runs great 18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 392 tok/s Runs great
Phi-3 Small 8K InstructMicrosoft · 7.4B 30Basic quality (D) · 30 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. 10.7 tok/s Runs well 44Fair quality (C) · 44 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. 85.2 tok/s Runs great
Granite 3.1 2B InstructIBM · 2.5B 23Basic quality (D) · 23 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 24.5 tok/s Runs well 28Basic quality (D) · 28 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. 115 tok/s Runs great
Falcon 3 3B InstructTII · 3.2B 28Basic quality (D) · 28 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 14.9 tok/s Runs well 30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 89.9 tok/s Runs great
WeVisOne VL 2BTencent · 2.4B 22Basic quality (D) · 22 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 25.4 tok/s Runs well 27Basic quality (D) · 27 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. 119 tok/s Runs great
Qwen2 7B InstructAlibaba · 7.6B 30Basic quality (D) · 30 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. 10.3 tok/s Runs well 44Fair quality (C) · 44 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. 82.7 tok/s Runs great
Gemma 2 2BGoogle · 2.6B 23Basic quality (D) · 23 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 23.8 tok/s Runs well 28Basic quality (D) · 28 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. 111 tok/s Runs great
SmolLM2 1.7B InstructHugging Face · 1.7B 16Basic quality (D) · 16 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. 36.3 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. 170 tok/s Runs great
Hunyuan 1.8B InstructTencent · 1.8B 18Basic quality (D) · 18 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. 34.7 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. 162 tok/s Runs great
Aya 23 8BCohere · 8.0B 32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 6.0 tok/s Slow 34Basic quality (D) · 34 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. 78.4 tok/s Runs great
SmolVLM2 2.2B InstructHugging Face · 2.3B 16Basic quality (D) · 16 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. 35.0 tok/s Runs great 24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 129 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 54/100 (quality, fit, speed and memory use) sets the ranking. 5.1 tok/s Slow 46Fair quality (C) · 46 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. 67.0 tok/s Runs great
Chandra OCR 2Datalab · 5.3B 40Fair quality (C) · 40 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. 11.7 tok/s Runs well 48Fair quality (C) · 48 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. 54.8 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 54/100 (quality, fit, speed and memory use) sets the ranking. 5.0 tok/s Slow 34Basic quality (D) · 34 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. 65.4 tok/s Runs great
LLM4Decompile 22B V2LLM4Binary · 22B 40Fair quality (C) · 40 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. 3.5 tok/s Slow 56Good quality (B) · 56 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. 45.9 tok/s Runs great
Qwen2-VL 2B InstructAlibaba · 2.2B 16Basic quality (D) · 16 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. 35.7 tok/s Runs great 24Basic quality (D) · 24 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. 131 tok/s Runs great
Granite 3.0 2B InstructIBM · 2.6B 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. 23.6 tok/s Runs well 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. 110 tok/s Runs great
SmolVLM 2.2B InstructHugging Face · 2.3B 15Basic quality (D) · 15 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. 35.0 tok/s Runs great 22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 129 tok/s Runs great
WeVisOne-VL 4BTencent · 4.8B 37Basic quality (D) · 37 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. 12.9 tok/s Runs well 45Fair quality (C) · 45 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 60.1 tok/s Runs great
EXAONE Deep 7.8BLG AI Research · 7.8B 39Basic quality (D) · 39 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. 10.1 tok/s Runs well 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. 80.6 tok/s Runs great
InternLM2.5 7B ChatShanghai AI Lab · 7.7B 28Basic quality (D) · 28 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. 10.2 tok/s Runs well 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. 81.4 tok/s Runs great
Qwen3 0.6BAlibaba · 0.8B 13Basic quality (D) · 13 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 44.4 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. 387 tok/s Runs great
Falcon-H1R 7BTII · 7.6B 39Basic quality (D) · 39 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. 10.4 tok/s Runs well 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. 83.0 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 53/100 (quality, fit, speed and memory use) sets the ranking. 0.5 tok/s Very slowover 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
Olmo 3 7B ThinkAi2 · 7.3B 37Basic quality (D) · 37 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. 10.8 tok/s Runs well 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. 86.3 tok/s Runs great
Falcon-H1 0.5B InstructTII · 0.5B 14Basic quality (D) · 14 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. 47.0 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. 558 tok/s Runs great
Granite Vision 3.2 2BIBM · 3.0B 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 20.8 tok/s Runs well 26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 97.4 tok/s Runs great
LFM2.5 350MLiquid AI · 0.4B 14Basic quality (D) · 14 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. 69.8 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. 829 tok/s Runs great
Mistral 7B Instruct v0.3Mistral AI · 7.3B 26Basic quality (D) · 26 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. 10.9 tok/s Runs well 38Basic quality (D) · 38 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. 40.0 tok/s Runs great
Qwen2 1.5B InstructAlibaba · 1.5B 13Basic quality (D) · 13 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 40.3 tok/s Runs great 16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 189 tok/s Runs great
Qwen2.5 Coder 7B InstructAlibaba · 7.6B 38Basic quality (D) · 38 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. 10.3 tok/s Runs well 55Good quality (B) · 55 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. 82.7 tok/s Runs great
Gemma 1.1 7B ITGoogle · 8.5B 26Basic quality (D) · 26 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 5.6 tok/s Slow 28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 73.8 tok/s Runs great
InternLM2.5 1.8B ChatShanghai AI Lab · 1.9B 12Basic quality (D) · 12 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. 41.7 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. 154 tok/s Runs great
Orca 2 13BMicrosoft · 13B 26Basic quality (D) · 26 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow 28Basic quality (D) · 28 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. 48.4 tok/s Runs great
Zamba2 7B InstructZyphra · 7.4B 26Basic quality (D) · 26 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. 10.7 tok/s Runs well 38Basic quality (D) · 38 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. 85.6 tok/s Runs great
OLMo 2 7B InstructAi2 · 7.3B 25Basic quality (D) · 25 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. 10.8 tok/s Runs well 36Basic quality (D) · 36 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. 86.3 tok/s Runs great
OpenReasoning Nemotron 7BNVIDIA · 7.6B 37Basic quality (D) · 37 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. 10.3 tok/s Runs well 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. 82.7 tok/s Runs great
Falcon 3 1B InstructTII · 1.7B 13Basic quality (D) · 13 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 37.2 tok/s Runs great 16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 174 tok/s Runs great
EXAONE 3.0 7.8B InstructLG AI Research · 7.8B 26Basic quality (D) · 26 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. 10.1 tok/s Runs well 38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 80.6 tok/s Runs great
Falcon3 Mamba 7B InstructTII · 7.3B 26Basic quality (D) · 26 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. 10.8 tok/s Runs well 38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 86.6 tok/s Runs great
Hermes 2 Pro Mistral 7BNous Research · 7.2B 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well 36Basic quality (D) · 36 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. 40.1 tok/s Runs great
Starling LM 7B BetaNexusflow · 7.2B 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well 36Basic quality (D) · 36 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. 40.1 tok/s Runs great
OLMo 2 1B InstructAi2 · 1.5B 11Basic quality (D) · 11 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 41.9 tok/s Runs great 14Basic quality (D) · 14 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. 196 tok/s Runs great
Spark X2.6 1.7BSparkLLM · 1.7B 13Basic quality (D) · 13 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 36.3 tok/s Runs great 16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 170 tok/s Runs great
GLiDE 2BFastino · 1.9B 11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 41.9 tok/s Runs great 17Basic quality (D) · 17 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. 154 tok/s Runs great
Qwen2.5 Coder 3B InstructAlibaba · 3.1B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 15.5 tok/s Runs well 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. 93.9 tok/s Runs great
LFM2-VL 450MLiquid AI · 0.5B 12Basic quality (D) · 12 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 54.3 tok/s Runs great 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. 645 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 52/100 (quality, fit, speed and memory use) sets the ranking. 3.0 tok/s Slow 40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 39.5 tok/s Runs great
LFM2 350MLiquid AI · 0.4B 12Basic quality (D) · 12 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 69.8 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. 829 tok/s Runs great
Granite 4.0 H 350MIBM · 0.3B 12Basic quality (D) · 12 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 71.9 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. 854 tok/s Runs great
Qwen2.5-Omni 3BAlibaba · 5.5B 25Basic quality (D) · 25 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 11.2 tok/s Runs well 30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 52.4 tok/s Runs great
Baichuan 2 13B ChatBaichuan · 14B 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow 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. 45.3 tok/s Runs great
Gemma 7B ITGoogle · 8.5B 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 5.6 tok/s Slow 26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 73.8 tok/s Runs great
OpenChat 3.5 (0106)OpenChat · 7.2B 24Basic quality (D) · 24 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well 35Basic quality (D) · 35 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. 40.1 tok/s Runs great
Llama 2 13B ChatMeta · 13B 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow 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. 48.4 tok/s Runs great
Zamba2 2.7B InstructZyphra · 2.7B 15Basic quality (D) · 15 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 29.6 tok/s Runs well 22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 109 tok/s Runs great
Falcon 40B InstructTII · 42B 15Basic quality (D) · 15 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 1.1 tok/s Very slow 11Basic quality (D) · 11 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. 48.6 tok/s Runs great
Yi Coder 9B Chat01.AI · 8.8B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 5.4 tok/s Slow 40Fair quality (C) · 40 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. 71.3 tok/s Runs great
Qwen2.5 Coder 1.5B InstructAlibaba · 1.5B 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 40.3 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. 189 tok/s Runs great
Mistral 7B Instruct v0.2Mistral AI · 7.2B 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well 34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great
Nous Hermes 2 Mistral 7B DPONous Research · 7.2B 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well 34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great
OpenChat 3.5 (1210)OpenChat · 7.2B 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well 34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great
GLiDE 0.8BFastino · 0.8B 10Basic quality (D) · 10 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. 44.4 tok/s Runs great 11Basic quality (D) · 11 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 387 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 52/100 (quality, fit, speed and memory use) sets the ranking. 4.0 tok/s Slow 28Basic quality (D) · 28 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. 51.9 tok/s Runs great
SmolLM 1.7B InstructHugging Face · 1.7B 11Basic quality (D) · 11 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 36.3 tok/s Runs great 14Basic quality (D) · 14 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. 170 tok/s Runs great
SmolVLM 500M InstructHugging Face · 0.5B 10Basic quality (D) · 10 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. 47.9 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. 569 tok/s Runs great
Qwen2.5 0.5B InstructAlibaba · 0.5B 10Basic quality (D) · 10 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. 49.9 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. 592 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. 49.0 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. 1,262 tok/s Runs great
OpenHermes 2.5 Mistral 7BTeknium · 7.2B 22Basic quality (D) · 22 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. 10.9 tok/s Runs well 32Basic quality (D) · 32 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. 40.1 tok/s Runs great
Starling LM 7B AlphaBerkeley · 7.2B 22Basic quality (D) · 22 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. 10.9 tok/s Runs well 32Basic quality (D) · 32 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. 40.1 tok/s Runs great
Yi 1.5 6B Chat01.AI · 6.1B 23Basic quality (D) · 23 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 10.2 tok/s Runs well 28Basic quality (D) · 28 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. 47.9 tok/s Runs great
LLM4Decompile 9B V2LLM4Binary · 8.8B 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 5.4 tok/s Slow 38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 71.3 tok/s Runs great
DeepScaleR 1.5B PreviewAgentica · 1.8B 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 34.9 tok/s Runs great 26Basic quality (D) · 26 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. 163 tok/s Runs great
Hunyuan 0.5B InstructTencent · 0.5B 8Basic quality (D) · 8 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. 45.3 tok/s Runs great 8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 538 tok/s Runs great
InternLM2 Math Plus 20BShanghai AI Lab · 20B 33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow 39Basic quality (D) · 39 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. 43.2 tok/s Runs great
StableLM 2 1.6B ChatStability AI · 1.6B 8Basic quality (D) · 8 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great 10Basic quality (D) · 10 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. 177 tok/s Runs great
StableLM 2 Zephyr 1.6BStability AI · 1.6B 8Basic quality (D) · 8 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great 10Basic quality (D) · 10 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. 177 tok/s Runs great
CodeGemma 7BGoogle · 8.5B 32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 5.6 tok/s Slow 34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 73.8 tok/s Runs great
Mistral 7B Instruct v0.1Mistral AI · 7.2B 21Basic quality (D) · 21 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. 10.9 tok/s Runs well 30Basic quality (D) · 30 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. 40.1 tok/s Runs great
SmolLM2 360M InstructHugging Face · 0.4B 8Basic quality (D) · 8 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. 67.9 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. 806 tok/s Runs great
Qwen1.5 7B ChatAlibaba · 7.7B 18Basic quality (D) · 18 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. 10.2 tok/s Runs well 26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 81.6 tok/s Runs great
LLaVA 1.5 13BLLaVA · 13B 20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow 22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 47.2 tok/s Runs great
WizardLM 13B v1.2WizardLM · 13B 20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow 22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 48.4 tok/s Runs great
StableLM Zephyr 3BStability AI · 2.8B 11Basic quality (D) · 11 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. 28.2 tok/s Runs well 16Basic quality (D) · 16 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. 104 tok/s Runs great
DeepSeek R1 Distill Qwen 7BDeepSeek · 7.6B 32Basic quality (D) · 32 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. 10.3 tok/s Runs well 46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 82.7 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 50/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow 29Basic quality (D) · 29 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. 65.9 tok/s Runs great
Nemotron Mini 4B InstructNVIDIA · 4.2B 18Basic quality (D) · 18 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 14.8 tok/s Runs well 22Basic quality (D) · 22 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. 69.3 tok/s Runs great
Falcon Mamba 7B InstructTII · 7.3B 21Basic quality (D) · 21 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. 10.8 tok/s Runs well 30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 86.6 tok/s Runs great
DeepSeek Prover V2 7BDeepSeek · 6.9B 28Basic quality (D) · 28 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. 11.4 tok/s Runs well 40Fair quality (C) · 40 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. 42.0 tok/s Runs great
Phi-2 2.7BMicrosoft · 2.8B 11Basic quality (D) · 11 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. 28.4 tok/s Runs well 16Basic quality (D) · 16 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. 104 tok/s Runs great
Neural Chat 7B v3.3Intel · 7.2B 19Basic quality (D) · 19 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. 10.9 tok/s Runs well 28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great
LLaVA 1.6 Mistral 7BLLaVA · 7.6B 19Basic quality (D) · 19 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. 10.4 tok/s Runs well 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. 83.2 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. 43.3 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. 1,117 tok/s Runs great
Qwen2 0.5B InstructAlibaba · 0.5B 6Basic quality (D) · 6 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 49.9 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. 592 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. 41.7 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. 1,075 tok/s Runs great
Qwen2.5-Math 1.5B InstructAlibaba · 1.5B 16Basic quality (D) · 16 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 40.3 tok/s Runs great 20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 189 tok/s Runs great
ERNIE 4.5 0.3BBaidu · 0.4B 6Basic quality (D) · 6 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 67.9 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. 806 tok/s Runs great
Vicuna 13B v1.5LMSYS · 13B 19Basic quality (D) · 19 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow 20Basic quality (D) · 20 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. 48.4 tok/s Runs great
TinyLlama 1.1B ChatTinyLlama · 1.1B 5Basic quality (D) · 5 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 43.6 tok/s Runs great 6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 264 tok/s Runs great
DeepSeek R1 Distill Qwen 1.5BDeepSeek · 1.8B 18Basic quality (D) · 18 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 34.9 tok/s Runs great 22Basic quality (D) · 22 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. 163 tok/s Runs great
Zephyr 7B BetaHugging Face · 7.2B 18Basic quality (D) · 18 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well 26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great
Gemma 2B ITGoogle · 2.5B 8Basic quality (D) · 8 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 31.4 tok/s Runs great 12Basic quality (D) · 12 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. 116 tok/s Runs great
SmolLM 360M InstructHugging Face · 0.4B 5Basic quality (D) · 5 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. 67.9 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. 806 tok/s Runs great
StarCoder2 15B (base)BigCode · 16B 30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 3.0 tok/s Slow 32Basic quality (D) · 32 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. 39.5 tok/s Runs great
Orca 2 7BMicrosoft · 6.7B 15Basic quality (D) · 15 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 11.7 tok/s Runs well 22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 43.1 tok/s Runs great
Granite Code 8B Instruct (128K)IBM · 8.1B 30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 6.0 tok/s Slow 32Basic quality (D) · 32 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 78.2 tok/s Runs great
Granite Code 20B InstructIBM · 20B 30Basic quality (D) · 30 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow 35Basic quality (D) · 35 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 42.8 tok/s Runs great
Yi Coder 1.5B Chat01.AI · 1.5B 13Basic quality (D) · 13 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 41.9 tok/s Runs great 16Basic quality (D) · 16 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. 196 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. 86.6 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. 2,233 tok/s Runs great
d1 2BLiquid AI · 1.9B 14Basic quality (D) · 14 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 41.1 tok/s Runs great 21Basic quality (D) · 21 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. 151 tok/s Runs great
surya ocr 2.5Datalab · 0.7B 14Basic quality (D) · 14 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 48.3 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. 421 tok/s Runs great
DeepSeek Coder 6.7B InstructDeepSeek · 6.7B 23Basic quality (D) · 23 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. 11.7 tok/s Runs well 34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 43.1 tok/s Runs great
Yi 6B Chat01.AI · 6.1B 16Basic quality (D) · 16 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. 10.2 tok/s Runs well 20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 47.9 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. 125 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. 3,226 tok/s Runs great
Llama 2 7B ChatMeta · 6.7B 14Basic quality (D) · 14 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. 11.7 tok/s Runs well 20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 43.1 tok/s Runs great
Baichuan 2 7B ChatBaichuan · 7.5B 14Basic quality (D) · 14 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. 10.5 tok/s Runs well 20Basic quality (D) · 20 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. 83.9 tok/s Runs great
LLM4Decompile 6.7B V2LLM4Binary · 6.7B 22Basic quality (D) · 22 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. 11.7 tok/s Runs well 32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 43.1 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. 86.6 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. 2,233 tok/s Runs great
DeepSeek LLM 7B ChatDeepSeek · 6.9B 12Basic quality (D) · 12 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 11.4 tok/s Runs well 18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 42.0 tok/s Runs great
SQLCoder 7B v2Defog · 6.7B 21Basic quality (D) · 21 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 11.7 tok/s Runs well 30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 43.1 tok/s Runs great
DeepSeek Coder 1.3B InstructDeepSeek · 1.4B 10Basic quality (D) · 10 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 46.0 tok/s Runs great 12Basic quality (D) · 12 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. 215 tok/s Runs great
LLM4Decompile 1.3B V2LLM4Binary · 1.4B 10Basic quality (D) · 10 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 46.0 tok/s Runs great 12Basic quality (D) · 12 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. 215 tok/s Runs great
Stable Code Instruct 3BStability AI · 2.8B 14Basic quality (D) · 14 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 28.2 tok/s Runs well 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. 104 tok/s Runs great
Codestral Mamba 7BMistral AI · 7.3B 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 10.8 tok/s Runs well 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. 86.4 tok/s Runs great
Qwen2.5-Math 7B InstructAlibaba · 7.6B 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 10.3 tok/s Runs well 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. 82.7 tok/s Runs great
Mathstral 7BMistral AI · 7.3B 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well 34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 40.0 tok/s Runs great
LLaVA 1.5 7BLLaVA · 7.1B 11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 11.2 tok/s Runs well 16Basic quality (D) · 16 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. 41.1 tok/s Runs great
Vicuna 7B v1.5LMSYS · 6.7B 9Basic quality (D) · 9 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. 11.7 tok/s Runs well 14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 43.1 tok/s Runs great
InternLM2 Math Plus 7BShanghai AI Lab · 7.7B 22Basic quality (D) · 22 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. 10.2 tok/s Runs well 32Basic quality (D) · 32 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 81.4 tok/s Runs great
StarCoder 15BBigCode · 16B 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. 3.0 tok/s Slow 26Basic quality (D) · 26 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. 39.8 tok/s Runs great
Granite Code 3B Instruct (128K)IBM · 3.5B 14Basic quality (D) · 14 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. 22.7 tok/s Runs well 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. 83.4 tok/s Runs great
OLMo 7B InstructAi2 · 6.9B 9Basic quality (D) · 9 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. 11.4 tok/s Runs well 14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 42.1 tok/s Runs great
Qwen2.5 Coder 0.5B InstructAlibaba · 0.5B 8Basic quality (D) · 8 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. 49.9 tok/s Runs great 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. 592 tok/s Runs great
Code Llama 7B InstructMeta · 6.7B 16Basic quality (D) · 16 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. 11.7 tok/s Runs well 24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 43.1 tok/s Runs great
StarCoder2 3BBigCode · 3.0B 12Basic quality (D) · 12 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. 26.0 tok/s Runs well 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. 95.8 tok/s Runs great
InternLM 7BShanghai AI Lab · 7.3B 8Basic quality (D) · 8 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. 10.8 tok/s Runs well 12Basic quality (D) · 12 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. 86.1 tok/s Runs great
CodeGemma 2BGoogle · 2.5B 9Basic quality (D) · 9 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. 31.4 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. 116 tok/s Runs great
WizardMath 7B v1.1WizardLM · 7.2B 18Basic quality (D) · 18 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. 10.9 tok/s Runs well 26Basic quality (D) · 26 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. 40.1 tok/s Runs great
StarCoder2 7BBigCode · 7.2B 16Basic quality (D) · 16 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 43/100 (quality, fit, speed and memory use) sets the ranking. 11.0 tok/s Runs well 24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 40.5 tok/s Runs great
Falcon 7B InstructTII · 7.2B 4Basic quality (D) · 4 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 43/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well 6Basic quality (D) · 6 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. 40.2 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
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 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
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 Intel Core 3 304 / Core 5 320 NAS (64 GB). 54.4 GB usable for models.

58 of 61 image models run on the NVIDIA GeForce RTX 4090. 24.0 GB usable for models.

Model QualityCore 3 304 / Core 5 320 NAS SpeedCore 3 304 / Core 5 320 NAS RunsCore 3 304 / Core 5 320 NAS QualityRTX 4090 SpeedRTX 4090 RunsRTX 4090
Krea 2 TurboKrea · 12.8B 92Excellent quality (A+) · 92 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. 7.0 min Very slow 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. 3.9 s Runs great
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 82/100 (quality, fit, speed and memory use) sets the ranking. 1.9 h Very slow 86Excellent quality (A+) · 86 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
FLUX.2 [klein] 9BBlack Forest Labs · 9.1B 84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 2.9 min Very slow 82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. 1.6 s Runs great
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 80/100 (quality, fit, speed and memory use) sets the ranking. 2.8 h Very slow 83Great quality (A) · 83 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. 1.9 min Slowencoder in RAM
ERNIE-ImageBaidu · 8.0B 88Excellent quality (A+) · 88 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. 36.0 min Very slow 86Excellent quality (A+) · 86 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. 20 s Runs well
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 79/100 (quality, fit, speed and memory use) sets the ranking. 36.8 min Very slow 93Excellent quality (A+) · 93 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. 24 s Runs wellencoder in RAM
Ideogram 4Ideogram · 18.6B 90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 36.8 min Very slow 85Excellent quality (A+) · 85 of 100: how capable the model is at NF4, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 28 s Runs welltight fit
Qwen-Image 2.1 TurboAlibaba · 7.1B 88Excellent quality (A+) · 88 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. 21.8 min Very slow 87Excellent quality (A+) · 87 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. 11 s Runs welltight fit · encoder in RAM
Qwen-ImageAlibaba · 20.4B 86Excellent quality (A+) · 86 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 2.2 h Very slow 86Excellent quality (A+) · 86 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. 1.8 min SlowCPU offload
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 79/100 (quality, fit, speed and memory use) sets the ranking. 24.0 min Very slow 84Great quality (A) · 84 of 100: how capable the model is at FP8, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 15 s Runs welltight fit · encoder 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 78/100 (quality, fit, speed and memory use) sets the ranking. 2.5 h Very slow 80Great quality (A) · 80 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 Slowencoder 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 78/100 (quality, fit, speed and memory use) sets the ranking. 19.6 min Very slow 80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. 11 s Runs great
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 78/100 (quality, fit, speed and memory use) sets the ranking. 2.5 h Very slow 79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 1.7 min Slowencoder in RAM
FLUX.1 Kontext [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 77/100 (quality, fit, speed and memory use) sets the ranking. 36.0 min Very slow 80Great quality (A) · 80 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. 20 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 77/100 (quality, fit, speed and memory use) sets the ranking. 84.6 min Very slow 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. 43 s Slowencoder in RAM
MiniMax H3 ImageMiniMax · 33.1B 91Excellent quality (A+) · 91 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. 15.4 min Very slowencoder unloaded after use 91Excellent quality (A+) · 91 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. 12 s Runs greatCPU offload
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 77/100 (quality, fit, speed and memory use) sets the ranking. 9.3 min Very slow 90Excellent quality (A+) · 90 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. 6.6 s Runs great
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 77/100 (quality, fit, speed and memory use) sets the ranking. 19.6 min Very slow 78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. 11 s Runs great
FLUX.2 [dev]Black Forest Labs · 32.2B 85Excellent quality (A+) · 85 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. 70.6 min Very slowtight fit 85Excellent quality (A+) · 85 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. 45 s Slowtight fit · encoder in RAM
ERNIE-Image TurboBaidu · 8.0B 85Excellent quality (A+) · 85 of 100: how capable the model is at FP16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 5.2 min Very slow 84Great quality (A) · 84 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. 3.7 s Runs great
HiDream-I1 DevHiDream.ai · 17.1B 79Great quality (A) · 79 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. 31.9 min Very slow 78Great quality (A) · 78 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. 16 s Runs wellencoder in RAM
MOSS-Image SFTOpenMOSS · 5.1B 82Great quality (A) · 82 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. 22.9 min Very slow 80Great quality (A) · 80 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. 13 s Runs great
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 75/100 (quality, fit, speed and memory use) sets the ranking. 20.4 min Very slow 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 11 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 75/100 (quality, fit, speed and memory use) sets the ranking. 4.1 min Very slow 83Great quality (A) · 83 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. 2.9 s Runs great
HiDream-I1 FastHiDream.ai · 17.1B 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. 18.8 min Very slow 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 9.5 s Runs greatencoder in RAM
FLUX.1 [schnell]Black Forest Labs · 11.9B 70Great quality (A) · 70 of 100: how capable the model is at FP16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 3.3 min Very slow 68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 1.8 s Runs great
Chroma1-HDLodestone Rock · 8.9B 78Great quality (A) · 78 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. 32.7 min Very slow 76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 18 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 72/100 (quality, fit, speed and memory use) sets the ranking. 27.8 min Very slow 80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 15 s Runs well
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 72/100 (quality, fit, speed and memory use) sets the ranking. 1.6 min Slow 78Great quality (A) · 78 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. 1.0 s Runs great
CogView4 6BZhipu AI · 6.4B 70Great quality (A) · 70 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. 29.4 min Very slow 68Good quality (B) · 68 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. 16 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 69/100 (quality, fit, speed and memory use) sets the ranking. 2.6 min Very slow 61Good quality (B) · 61 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 1.8 s Runs great
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 68/100 (quality, fit, speed and memory use) sets the ranking. 18.0 min Very slow 64Good quality (B) · 64 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. 9.9 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 66/100 (quality, fit, speed and memory use) sets the ranking. 1.9 h 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
Iris-3BSperidlabs · 3.0B 72Great quality (A) · 72 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. 26.1 min Very slow 72Great quality (A) · 72 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. 16 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 64/100 (quality, fit, speed and memory use) sets the ranking. 76.5 min Very slowCPU offload 90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
OmniGen2BAAI (VectorSpaceLab) · 4.0B 66Good quality (B) · 66 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. 26.1 min Very slow 64Good quality (B) · 64 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. 14 s Runs well
KolorsKuaishou · 2.6B 60Good quality (B) · 60 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. 6.5 min Very slow 60Good quality (B) · 60 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. 4.0 s Runs great
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 60/100 (quality, fit, speed and memory use) sets the ranking. 9.8 min Very slow 58Good quality (B) · 58 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. 6.0 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 60/100 (quality, fit, speed and memory use) sets the ranking. 22.9 min Very slow 56Good quality (B) · 56 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. 13 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 60/100 (quality, fit, speed and memory use) sets the ranking. 11.4 min Very slow 62Good quality (B) · 62 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. 7.0 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 59/100 (quality, fit, speed and memory use) sets the ranking. 14.7 min Very slow 48Fair quality (C) · 48 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. 9.5 s Runs greatencoder in RAM
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 59/100 (quality, fit, speed and memory use) sets the ranking. 2.1 min Slow 58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 1.3 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 58/100 (quality, fit, speed and memory use) sets the ranking. 7.4 min Very slow 62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 4.5 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 58/100 (quality, fit, speed and memory use) sets the ranking. 7.4 min Very slow 62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 4.5 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 58/100 (quality, fit, speed and memory use) sets the ranking. 69 s Slow 54Fair quality (C) · 54 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. 0.7 s Runs great
Stable Diffusion 3 MediumStability AI · 2.0B 52Fair quality (C) · 52 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. 5.1 min Very slow 52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 3.1 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 58/100 (quality, fit, speed and memory use) sets the ranking. 6.9 min Very slow 60Good quality (B) · 60 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
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 58/100 (quality, fit, speed and memory use) sets the ranking. 6.9 min Very slow 60Good quality (B) · 60 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
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 57/100 (quality, fit, speed and memory use) sets the ranking. 12.3 min Very slow 60Good quality (B) · 60 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. 7.5 s Runs great
SDXL TurboStability AI · 2.6B 39Basic quality (D) · 39 of 100: how capable the model is at FP8, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 13 s Runs great 40Fair quality (C) · 40 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. 0.2 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 57/100 (quality, fit, speed and memory use) sets the ranking. 6.2 min Very slow 58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 3.8 s Runs great
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 56/100 (quality, fit, speed and memory use) sets the ranking. 2.5 min Very slow 50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 1.5 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 56/100 (quality, fit, speed and memory use) sets the ranking. 8.2 min Very slow 52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 5.0 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 56/100 (quality, fit, speed and memory use) sets the ranking. 6.9 min Very slow 56Good quality (B) · 56 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 4.2 s 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 55/100 (quality, fit, speed and memory use) sets the ranking. 7.4 min Very slow 55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 4.5 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 54/100 (quality, fit, speed and memory use) sets the ranking. 9.8 min Very slow 52Fair quality (C) · 52 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. 6.0 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 53/100 (quality, fit, speed and memory use) sets the ranking. 7.8 s Runs great 28Basic quality (D) · 28 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. 0.1 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 49/100 (quality, fit, speed and memory use) sets the ranking. 2.0 min Slow 42Fair quality (C) · 42 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. 1.2 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 49/100 (quality, fit, speed and memory use) sets the ranking. 25 s Runs well 30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 0.3 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 48/100 (quality, fit, speed and memory use) sets the ranking. 2.0 min Slow 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. 1.2 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 46/100 (quality, fit, speed and memory use) sets the ranking. 2.0 min Slow 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. 1.2 s Runs great

Video models

42 of 43 video models run on the Intel Core 3 304 / Core 5 320 NAS (64 GB). 54.4 GB usable for models.

31 of 43 video models run on the NVIDIA GeForce RTX 4090. 24.0 GB usable for models.

Model QualityCore 3 304 / Core 5 320 NAS SpeedCore 3 304 / Core 5 320 NAS RunsCore 3 304 / Core 5 320 NAS QualityRTX 4090 SpeedRTX 4090 RunsRTX 4090
LTX-2.3Lightricks · 18.9B 85Excellent quality (A+) · 85 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. 12.5 h Very slow 84Great quality (A) · 84 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. 7.8 min Runs wellCPU offload
LTX-2.5 (22B, video + audio)Lightricks · 21.0B 87Excellent quality (A+) · 87 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 2.9 h Very slowtight fit 87Excellent quality (A+) · 87 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. 2.3 min Runs greatCPU offload
Bernini-R A14B (video generation + editing)ByteDance · 14.3B 85Excellent quality (A+) · 85 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. 19.6 h Very slow 83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 11.3 min Runs wellencoder in RAM
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 78/100 (quality, fit, speed and memory use) sets the ranking. 50.1 h Very slow 84Great quality (A) · 84 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. 31.2 min Slowtight fit · CPU offload
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 78/100 (quality, fit, speed and memory use) sets the ranking. 50.1 h Very slow 84Great quality (A) · 84 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. 31.2 min Slowtight fit · CPU offload
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 77/100 (quality, fit, speed and memory use) sets the ranking. 44.1 h Very slow 82Great quality (A) · 82 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
LTX-2 (19B, video + audio)Lightricks · 18.9B 81Great quality (A) · 81 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 12.5 h Very slow 80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 7.8 min Runs wellCPU offload
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. 34.2 h Very slowencoder unloaded after use 88Excellent quality (A+) · 88 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. 20.3 min Slowtight fit · CPU offload
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 75/100 (quality, fit, speed and memory use) sets the ranking. 59.5 h Very slow 72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 49.4 min Very slowtight fit · CPU offload
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 75/100 (quality, fit, speed and memory use) sets the ranking. 62.6 h Very slow 76Great quality (A) · 76 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. 39.0 min Slowtight fit · CPU offload
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 75/100 (quality, fit, speed and memory use) sets the ranking. 62.6 h Very slow 76Great quality (A) · 76 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. 39.0 min Slowtight fit · CPU offload
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 75/100 (quality, fit, speed and memory use) sets the ranking. 68.9 h Very slow 72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 57.2 min Very slowtight fit · CPU offload
HY-OmniWeaving (8.3B, unified video)Tencent · 8.3B 76Great quality (A) · 76 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. 14.4 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. 8.3 min Runs wellencoder 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. 58.8 h Very slow 76Great quality (A) · 76 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
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 73/100 (quality, fit, speed and memory use) sets the ranking. 29.4 h Very slow 80Great quality (A) · 80 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. 26.0 min SlowCPU offload
HunyuanVideo 13BTencent · 13.0B 71Great quality (A) · 71 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 75.2 h Very slow 66Good quality (B) · 66 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
HunyuanVideo I2V 13BTencent · 13.0B 71Great quality (A) · 71 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 75.2 h Very slow 66Good quality (B) · 66 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Wan 2.2 TI2V 5BAlibaba · 5.0B 70Great quality (A) · 70 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. 14.2 h Very slow 68Good quality (B) · 68 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. 10.1 min Runs welltight fit · CPU offload
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 71/100 (quality, fit, speed and memory use) sets the ranking. 76.0 h Very slowtight fit 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
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 71/100 (quality, fit, speed and memory use) sets the ranking. 31.3 h Very slow 70Great quality (A) · 70 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 20.0 min Slowtight fit
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 71/100 (quality, fit, speed and memory use) sets the ranking. 81.7 h Very slow 70Great quality (A) · 70 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. 65.0 min Very slowCPU offload
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 71/100 (quality, fit, speed and memory use) sets the ranking. 39.2 h Very slow 68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 70/100 (quality, fit, speed and memory use) sets the ranking. 9.8 h Very slow 72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 6.3 min Runs wellencoder in RAM
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 70/100 (quality, fit, speed and memory use) sets the ranking. 34.3 h Very slow 74Great quality (A) · 74 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. 30.3 min SlowCPU offload
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 70/100 (quality, fit, speed and memory use) sets the ranking. 88.2 min Very slow 66Good quality (B) · 66 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. 70 s Runs greatCPU offload
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 70/100 (quality, fit, speed and memory use) sets the ranking. 28.2 h Very slow 68Good quality (B) · 68 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 18.0 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 70/100 (quality, fit, speed and memory use) sets the ranking. 8.4 h Very slow 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. 5.4 min Runs wellencoder in RAM
Mochi 1 Preview (10B)Genmo · 10.0B 62Good quality (B) · 62 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. 30.0 h Very slow 60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 17.3 min Slowtight fit · encoder in RAM
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 67/100 (quality, fit, speed and memory use) sets the ranking. 22.1 h 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
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 66/100 (quality, fit, speed and memory use) sets the ranking. 113.3 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 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 66/100 (quality, fit, speed and memory use) sets the ranking. 6.8 h Very slow 56Good quality (B) · 56 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. 3.9 min Runs welltight 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. 15.0 h Very slowtight fit 60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 63/100 (quality, fit, speed and memory use) sets the ranking. 32.7 h Very slow 52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 63/100 (quality, fit, speed and memory use) sets the ranking. 104.1 h Very slowCPU offload 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
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 61/100 (quality, fit, speed and memory use) sets the ranking. 4.9 h Very slow 53Fair quality (C) · 53 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. 2.7 min Runs great
CogVideoX 5BZhipu AI · 5.0B 55Good quality (B) · 55 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. 4.9 h Very slow 53Fair quality (C) · 53 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. 2.7 min Runs great
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 60/100 (quality, fit, speed and memory use) sets the ranking. 7.1 h Very slow 53Fair quality (C) · 53 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. 3.9 min Runs great
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 59/100 (quality, fit, speed and memory use) sets the ranking. 8.2 h Very slow 50Fair quality (C) · 50 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. 4.5 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 59/100 (quality, fit, speed and memory use) sets the ranking. 6.5 h Very slow 53Fair quality (C) · 53 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. 3.6 min Runs great
LTX-Video 2BLightricks · 1.9B 49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 36.8 min Slow 50Fair quality (C) · 50 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. 25 s Runs great
CogVideoX 2BZhipu AI · 1.7B 45Fair quality (C) · 45 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. 1.6 h Very slow 45Fair quality (C) · 45 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. 60 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 47/100 (quality, fit, speed and memory use) sets the ranking. 32.7 min Slow 35Basic quality (D) · 35 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. 20 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 Intel Core 3 304 / Core 5 320 NAS (64 GB). 54.4 GB usable for models.

68 of 70 decision models run on the NVIDIA GeForce RTX 4090. 24.0 GB usable for models.

Model QualityCore 3 304 / Core 5 320 NAS SpeedCore 3 304 / Core 5 320 NAS RunsCore 3 304 / Core 5 320 NAS QualityRTX 4090 SpeedRTX 4090 RunsRTX 4090
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. 77 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
Jina Reranker v3.5Jina AI · 600M 86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 1.4 s Very slow 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. 11 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 82/100 (quality, fit, speed and memory use) sets the ranking. 9.5 s Very slow 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. 52 ms Runs great
GLiNER2.5 DecideFastino · 490M 80Great quality (A) · 80 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. 624 ms Slow 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
Jina Reranker v3Jina AI · 600M 84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 1.4 s Very slow 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. 11 ms Runs great
Llama Prompt Guard 2 22MMeta · 71M 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. 184 ms Runs well 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
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 81/100 (quality, fit, speed and memory use) sets the ranking. 19.4 s Very 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. 88 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 81/100 (quality, fit, speed and memory use) sets the ranking. 37.9 s Very 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. 144 ms Runs well
zerank-2ZeroEntropy · 4.0B 88Excellent quality (A+) · 88 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. 9.5 s Very slow 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. 52 ms Runs great
FRIDA-DecisionsSber AI · 820M 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 1.0 s Slow 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
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 80/100 (quality, fit, speed and memory use) sets the ranking. 9.1 s Very slow 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. 50 ms Runs great
Qwen3 Reranker 0.6BAlibaba · 600M 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. 1.4 s Very slow 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. 11 ms Runs great
GLiClass ModernBERT Large v3Knowledgator · 400M 74Great quality (A) · 74 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. 510 ms Slow 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
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 79/100 (quality, fit, speed and memory use) sets the ranking. 5.5 s Very slow 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. 39 ms Runs great
Llama Prompt Guard 2 86MMeta · 280M 76Great quality (A) · 76 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. 712 ms Slow 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
GLiDE 27BFastino · 26B 86Excellent quality (A+) · 86 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. 33.0 s Very 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
mxbai-rerank-large v2Mixedbread · 1.5B 82Great quality (A) · 82 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. 3.7 s Very slow 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. 23 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 79/100 (quality, fit, speed and memory use) sets the ranking. 3.8 s Very slow 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. 28 ms Runs great
GLiClass Base v3Knowledgator · 190M 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. 244 ms Runs well 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
GTE Reranker ModernBERT BaseAlibaba · 150M 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. 383 ms Runs well 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
DeBERTa v3 Large Zero-shot v2.0Moritz Laurer · 440M 72Great quality (A) · 72 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. 561 ms Slow 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
DeBERTa v3 Base Zero-shot v2.0Moritz Laurer · 180M 64Good quality (B) · 64 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. 232 ms Runs well 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
mxbai-rerank-base v2Mixedbread · 490M 76Great quality (A) · 76 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. 1.2 s Slow 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. 9.9 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 78/100 (quality, fit, speed and memory use) sets the ranking. 38.3 s Very 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
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. 71 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
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 78/100 (quality, fit, speed and memory use) sets the ranking. 4.1 s Very slow 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. 25 ms Runs great
Granite Embedding Reranker English R2IBM · 150M 68Good quality (B) · 68 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. 383 ms Runs well 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
ModernBERT Large Zero-shot v2.0Moritz Laurer · 400M 70Great quality (A) · 70 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. 510 ms Slow 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
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 77/100 (quality, fit, speed and memory use) sets the ranking. 5.7 s Very slow 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
GLiNER2 Base v1Fastino · 210M 68Good quality (B) · 68 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. 270 ms Runs well 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
Jina Reranker v2 Base MultilingualJina AI · 280M 70Great quality (A) · 70 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. 712 ms Slow 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
GLiGuard 300MFastino · 210M 68Good quality (B) · 68 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. 535 ms Slow 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
LayaConvai Innovations · 420M 68Good quality (B) · 68 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. 535 ms Slow 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
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 77/100 (quality, fit, speed and memory use) sets the ranking. 5.9 s Very slow 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. 34 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 76/100 (quality, fit, speed and memory use) sets the ranking. 21.1 s Very slow 85Excellent quality (A+) · 85 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. 132 ms Runs great
ProtectAI DeBERTa v3 Prompt Injection v2Protect AI · 180M 66Good quality (B) · 66 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. 459 ms Slow 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
DuoGuard 0.5BDuoGuard · 490M 72Great quality (A) · 72 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. 1.2 s Slow 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
BGE Reranker v2 M3BAAI · 570M 72Great quality (A) · 72 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. 1.4 s Very slow 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
Qwen3Guard Gen 4BAlibaba · 4.4B 84Great quality (A) · 84 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. 11.3 s Very slow 84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. 84 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 75/100 (quality, fit, speed and memory use) sets the ranking. 20.7 s Very slow 83Great quality (A) · 83 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. 129 ms Runs great
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 75/100 (quality, fit, speed and memory use) sets the ranking. 21.6 s Very slow 83Great quality (A) · 83 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. 135 ms Runs well
Skywork Reward V2 Qwen3 0.6BSkywork · 600M 72Great quality (A) · 72 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. 3.0 s Very slow 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
Laya MultilingualConvai Innovations · 320M 60Good quality (B) · 60 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. 409 ms Slow 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
HHEM 2.1 OpenVectara · 110M 62Good quality (B) · 62 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. 561 ms Slow 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
WildGuard 7BAi2 · 7.3B 80Great quality (A) · 80 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. 18.7 s Very slow 79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. 117 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 74/100 (quality, fit, speed and memory use) sets the ranking. 21.0 s Very slow 79Great quality (A) · 79 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. 131 ms Runs great
NuExtract 2.0 4BNuMind · 3.8B 76Great quality (A) · 76 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. 8.1 s Very slow 73Great quality (A) · 73 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. 108 ms Runs great
Qwen3Guard Gen 0.6BAlibaba · 750M 74Great quality (A) · 74 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. 1.9 s Very slow 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. 26 ms Runs great
GLiNER Multi v2.1Urchade Zaratiana · 290M 62Good quality (B) · 62 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. 371 ms Runs well 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
CompassJudger-2 32BOpenCompass · 33B 86Excellent quality (A+) · 86 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. 353.5 s Very slow 81Great quality (A) · 81 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. 4.5 s Very slowtight fit
BART Large MNLIMeta · 410M 56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 523 ms Slow 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
NuExtract 2.0 2BNuMind · 2.2B 70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 4.7 s Very slow 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. 98 ms Runs great
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 71/100 (quality, fit, speed and memory use) sets the ranking. 72.7 s Very slow 75Great quality (A) · 75 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. 1.1 s Slow
LettuceDetect LargeKR Labs · 400M 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. 2.0 s Very slow 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
Nemotron Content Safety Reasoning 4BNVIDIA · 4.3B 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 38.2 s Very slow 77Great quality (A) · 77 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. 842 ms 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 70/100 (quality, fit, speed and memory use) sets the ranking. 86.7 s Very slow 77Great quality (A) · 77 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
ShieldGemma 27BGoogle · 27B 66Good quality (B) · 66 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. 64.4 s Very slow 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. 260 ms Runs well
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 70/100 (quality, fit, speed and memory use) sets the ranking. 20.1 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. 1.0 s Slow
ShieldGemma 9BGoogle · 9.2B 64Good quality (B) · 64 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. 21.9 s Very slow 64Good quality (B) · 64 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. 98 ms Runs great
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 69/100 (quality, fit, speed and memory use) sets the ranking. 82.2 s Very slow 75Great quality (A) · 75 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. 1.3 s Slow
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 68/100 (quality, fit, speed and memory use) sets the ranking. 20.7 s Very slow 67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 129 ms Runs great
ShieldGemma 2BGoogle · 2.6B 58Good quality (B) · 58 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. 6.2 s Very slow 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. 35 ms Runs great
DynaGuard 1.7BUniversity of Maryland · 2.0B 70Great quality (A) · 70 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. 18.0 s Very slow 66Good quality (B) · 66 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. 284 ms Runs well
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 67/100 (quality, fit, speed and memory use) sets the ranking. 30.9 s Very slow 65Good quality (B) · 65 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. 191 ms Runs well
Prometheus 2 8x7BPrometheus Eval · 47B (13B active) 73Great quality (A) · 73 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. 118.7 s Very slow 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 7.4 s Very slowoffloads to RAM
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 65/100 (quality, fit, speed and memory use) sets the ranking. 78.1 s Very slow 65Good quality (B) · 65 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. 1.2 s Slow
Llama Guard 3 1BMeta · 1.5B 56Good quality (B) · 56 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. 3.9 s Very slow 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. 48 ms Runs great
GLIDERPatronus AI · 3.8B 66Good quality (B) · 66 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. 41.2 s Very slow 65Good quality (B) · 65 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. 737 ms Slow
Flow Judge v0.1Flow AI · 3.8B 64Good quality (B) · 64 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. 41.2 s Very slow 63Good quality (B) · 63 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. 737 ms 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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