Intel Arc B570 vs Intel Xeon Silver (4100 to 4300 series) NAS (256 GB) for local AI

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

Hardware to compare, two to four

Winner: Intel Xeon Silver (4100 to 4300 series) NAS (256 GB)

For general chat: It runs 116 more LLMs (580 vs 464). On the other hand, the Intel Arc B570 is about 8.1× faster on its own top models.

  ASRock Intel Arc B570 Challenger 10GB OCIntel Arc B570 QNAP TDS-h6889AXU-RPIntel Xeon Silver (4100 to 4300 series) NAS (256 GB)
Memory 10.0 GB VRAM 256 GB unified
Usable for models 10.0 GB 230 GB
Memory bandwidth 380 GB/s 115 GB/s
FP16 compute 23.0 TFLOPS 1.0 TFLOPS
Launch price $219 —
Released 2025 2017
LLMs that run 464 of 619 580 of 619
LLMs that run well 384 366
Image models that run 52 of 60 60 of 60
Video models that run 11 of 43 43 of 43
Decision models that run 66 of 70 70 of 70
Top-10 LLM average score 92 90
Top-10 LLM average speed 41.0 tok/s 5.1 tok/s
Best LLM K2 Horizon 7B Qwen3.8 Flash Next (125B-A6B)

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

LLMs

464 of 619 LLMs run on the Intel Arc B570. 10.0 GB usable for models.

580 of 619 LLMs run on the Intel Xeon Silver (4100 to 4300 series) NAS (256 GB). 230 GB usable for models.

Model QualityArc B570 SpeedArc B570 RunsArc B570 QualityXeon Silver (4100 to 4300 series) NAS SpeedXeon Silver (4100 to 4300 series) NAS RunsXeon Silver (4100 to 4300 series) NAS
K2 Horizon 7BInstitute of Foundation Models · 9.0B 76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. 39.6 tok/s Runs great 56Good quality (B) · 56 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. 12.5 tok/s Runs well
SenseNova Loop 9B PreviewSenseTime · 9.7B 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. 36.9 tok/s Runs great 54Fair quality (C) · 54 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. 11.7 tok/s Runs well
Gemma 4 12BGoogle · 12B 78Great quality (A) · 78 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. 29.8 tok/s Runs welltight fit 82Great quality (A) · 82 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. 4.0 tok/s Slow
Ornith 1.5 9BDeepReinforce · 9.7B 73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. 36.9 tok/s Runs great 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. 11.7 tok/s Runs well
Qwen3.5 9BAlibaba · 9.7B 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 36.9 tok/s Runs great 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. 11.7 tok/s Runs well
TMax 9BAi2 · 9.0B 70Great quality (A) · 70 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. 39.8 tok/s Runs great 51Fair quality (C) · 51 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. 12.6 tok/s Runs well
Ornith 1.0 9BDeepReinforce · 9.7B 71Great quality (A) · 71 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 36.9 tok/s Runs great 52Fair quality (C) · 52 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. 11.7 tok/s Runs well
Nemotron 3.5 Bolt E4BNVIDIA · 8.0B 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 54.9 tok/s Runs great 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. 15.2 tok/s Runs well
Nanbeige4.2 3BBOSS Zhipin (Nanbeige) · 4.2B 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 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. 16.5 tok/s Runs well
Gemma 4 E4BGoogle · 8.0B 67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. 54.9 tok/s Runs great 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. 15.2 tok/s Runs well
Granite 4.2 8BIBM · 8.8B 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. 40.5 tok/s Runs great 57Good quality (B) · 57 of 100: how capable the model is at Q3_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
Nemotron Labs Dory 1.0 4BNVIDIA · 4.0B 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. 45.6 tok/s Runs great 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. 17.2 tok/s Runs well
Spark-X2.6 4BSparkLLM · 4.1B 66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 44.1 tok/s Runs great 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 16.7 tok/s Runs well
MiMo V2.6 Distill Qwen 9BXiaomi · 9.4B 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. 37.9 tok/s Runs great 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 12.0 tok/s Runs well
Gemma 4 E2BGoogle · 5.1B 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. 78.9 tok/s Runs great 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 29.8 tok/s Runs well
Qwen3.5 4BAlibaba · 4.7B 62Good quality (B) · 62 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 38.9 tok/s Runs great 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. 14.7 tok/s Runs well
Ling 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI) · 7.9B (1.3B active) 59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. 113 tok/s Runs great 58Good quality (B) · 58 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. 37.8 tok/s Runs great
InternVL3.5 8BShanghai AI Lab · 8.5B 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. 41.8 tok/s Runs great 52Fair quality (C) · 52 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 10.4 tok/s Runs well
Qwen3-VL 8B InstructAlibaba · 8.8B 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. 40.6 tok/s Runs great 52Fair quality (C) · 52 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 10.1 tok/s Runs well
Agents-A1 4BInternScience · 4.5B 60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. 40.0 tok/s Runs great 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. 15.1 tok/s Runs well
TMax 4BAi2 · 4.2B 61Good quality (B) · 61 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. 43.1 tok/s Runs great 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. 16.3 tok/s Runs well
Granite 4.1 8BIBM · 8.8B 57Good quality (B) · 57 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. 40.5 tok/s Runs great 50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 10.1 tok/s Runs well
MiniCPM-V 4.5 8BOpenBMB · 8.7B 57Good quality (B) · 57 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. 41.0 tok/s Runs great 50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 10.2 tok/s Runs well
Nemotron Nano 9B v2NVIDIA · 8.9B 57Good quality (B) · 57 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. 40.1 tok/s Runs great 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. 12.7 tok/s Runs well
Qwen3 8BAlibaba · 8.2B 57Good quality (B) · 57 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. 43.5 tok/s Runs great 50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 10.8 tok/s Runs well
Fara 1.5 4BMicrosoft · 4.5B 58Good quality (B) · 58 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 40.0 tok/s Runs great 55Good quality (B) · 55 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. 15.1 tok/s Runs well
MiMo-VL 7B RLXiaomi · 8.3B 55Good quality (B) · 55 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. 42.9 tok/s Runs great 48Fair quality (C) · 48 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 10.7 tok/s Runs well
GLM-4.1V 9B ThinkingZhipu AI · 10B 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 34.6 tok/s Runs great 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. 11.0 tok/s Runs well
Mellum2.1 Thinking (12B-A2.5B)JetBrains · 12B (2.5B active) 67Good quality (B) · 67 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. 83.4 tok/s Runs welltight fit 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 25.1 tok/s Runs well
UI-Mate 9BTencent · 9.4B 66Good quality (B) · 66 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. 37.9 tok/s Runs great 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 12.0 tok/s Runs well
UI-Venus 2 9BAnt Group (inclusionAI) · 9.4B 66Good quality (B) · 66 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. 37.9 tok/s Runs great 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 12.0 tok/s Runs well
Apriel 1.5 15B ThinkerServiceNow · 15B 60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 31.0 tok/s Runs welltight fit 71Great quality (A) · 71 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. 3.2 tok/s Slow
Qwen3 4B Instruct 2507Alibaba · 4.0B 54Fair quality (C) · 54 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 45.1 tok/s Runs great 51Fair quality (C) · 51 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. 17.1 tok/s Runs well
Qwen3-VL 4B InstructAlibaba · 4.4B 54Fair quality (C) · 54 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 40.9 tok/s Runs great 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. 15.5 tok/s Runs well
Mage-VL 4.7BMicrosoft · 4.7B 55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 52.2 tok/s Runs great 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 14.5 tok/s Runs well
MiMo 7B RLXiaomi · 7.8B 54Fair quality (C) · 54 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 37.6 tok/s Runs great 47Fair quality (C) · 47 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 11.3 tok/s Runs well
Ministral 3 8BMistral AI · 8.9B 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 39.9 tok/s Runs great 39Basic quality (D) · 39 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. 12.6 tok/s Runs well
InternVL3 8BShanghai AI Lab · 7.9B 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 44.9 tok/s Runs great 47Fair quality (C) · 47 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 11.2 tok/s Runs well
LFM2.5 8B-A1BLiquid AI · 8.5B (1.5B active) 51Fair quality (C) · 51 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 103 tok/s Runs great 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. 39.6 tok/s Runs great
Llama 3.1 Nemotron Nano 8B v1NVIDIA · 8.0B 51Fair quality (C) · 51 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. 44.4 tok/s Runs great 45Fair quality (C) · 45 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. 11.0 tok/s Runs well
Qwen3 14BAlibaba · 15B 57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 31.1 tok/s Runs welltight fit 67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
MiniCPM4 8BOpenBMB · 8.2B 51Fair quality (C) · 51 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 45Fair quality (C) · 45 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. 10.8 tok/s Runs well
Hunyuan 7B InstructTencent · 7.5B 50Fair quality (C) · 50 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 39.2 tok/s Runs great 43Fair quality (C) · 43 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. 11.8 tok/s Runs well
Qwen3 4BAlibaba · 4.0B 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. 45.1 tok/s Runs great 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. 17.1 tok/s Runs well
Gemma 3 12B ITGoogle · 12B 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 29.2 tok/s Runs welltight fit 59Good quality (B) · 59 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. 3.9 tok/s Slow
Qwen2.5 7B InstructAlibaba · 7.6B 50Fair quality (C) · 50 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 38.6 tok/s Runs great 43Fair quality (C) · 43 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. 11.6 tok/s Runs well
MiniCPM-o 2.6 8BOpenBMB · 8.7B 49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 41.1 tok/s Runs great 43Fair quality (C) · 43 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 10.2 tok/s Runs well
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 82/100 (quality, fit, speed and memory use) sets the ranking. 43.0 tok/s Runs great 43Fair quality (C) · 43 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 10.7 tok/s Runs well
Hermes 4 14BNous Research · 15B 55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 31.2 tok/s Runs welltight fit 65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
GLM-4 9B 0414Zhipu AI · 9.4B 49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 37.9 tok/s Runs great 36Basic quality (D) · 36 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 12.0 tok/s Runs well
Olmo 3 7B InstructAi2 · 7.3B 48Fair quality (C) · 48 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 40.3 tok/s Runs great 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 12.2 tok/s Runs well
NorthCUA Nanobeipo-ai · 9.4B 49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 37.9 tok/s Runs great 36Basic quality (D) · 36 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 12.0 tok/s Runs well
Ministral 3 14BMistral AI · 14B 53Fair quality (C) · 53 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 33.0 tok/s Runs welltight fit 63Good quality (B) · 63 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
Kimi-VL A3B Thinking 2506Moonshot AI · 16B (3.0B active) 50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 103 tok/s Runs welltight fit 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
Falcon-H1 7B InstructTII · 7.6B 48Fair quality (C) · 48 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 38.8 tok/s Runs great 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 11.7 tok/s Runs well
Qwen2.5 7B Instruct 1MAlibaba · 7.6B 48Fair quality (C) · 48 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 38.6 tok/s Runs great 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 11.6 tok/s Runs well
MiniCPM5 2BOpenBMB · 2.5B 60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 72.0 tok/s Runs great 57Good quality (B) · 57 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. 27.2 tok/s Runs well
DeepSeek R1 0528 Qwen3 8BDeepSeek · 8.2B 58Good quality (B) · 58 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. 43.5 tok/s Runs great 52Fair quality (C) · 52 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. 10.8 tok/s Runs well
Phi-4 (14B)Microsoft · 15B 53Fair quality (C) · 53 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 31.3 tok/s Runs welltight fit 63Good quality (B) · 63 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
Granite 4.2 3BIBM · 3.7B 52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 49.6 tok/s Runs great 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. 18.7 tok/s Runs well
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 81/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 11.0 tok/s Runs well
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 81/100 (quality, fit, speed and memory use) sets the ranking. 40.5 tok/s Runs great 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 10.1 tok/s Runs well
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 81/100 (quality, fit, speed and memory use) sets the ranking. 44.1 tok/s Runs great 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 11.0 tok/s Runs well
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 81/100 (quality, fit, speed and memory use) sets the ranking. 38.6 tok/s Runs great 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. 12.2 tok/s Runs well
Mage-VL-Cowork 4.7BMicrosoft · 4.7B 59Good quality (B) · 59 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. 52.2 tok/s Runs great 57Good quality (B) · 57 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. 14.5 tok/s Runs well
LFM3 1.7BLiquid AI · 1.7B 56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 48.3 tok/s Runs great 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 39.7 tok/s Runs great
Phi-4 Reasoning Vision 15BMicrosoft · 15B 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 38.7 tok/s Runs welltight fit 69Good quality (B) · 69 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. 3.1 tok/s Slow
Qwen2.5 14B InstructAlibaba · 15B 52Fair quality (C) · 52 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. 31.3 tok/s Runs welltight fit 61Good quality (B) · 61 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. 3.2 tok/s Slow
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 80/100 (quality, fit, speed and memory use) sets the ranking. 44.9 tok/s Runs great 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 11.2 tok/s Runs well
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 80/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 40Fair quality (C) · 40 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. 11.0 tok/s Runs well
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 80/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 40Fair quality (C) · 40 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. 11.0 tok/s Runs well
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 80/100 (quality, fit, speed and memory use) sets the ranking. 44.0 tok/s Runs great 40Fair quality (C) · 40 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. 11.0 tok/s Runs well
Gemma 3n E4BGoogle · 7.9B 45Fair quality (C) · 45 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. 61.8 tok/s Runs great 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. 17.2 tok/s Runs well
Qwen3 4B Thinking 2507Alibaba · 4.0B 56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 45.1 tok/s Runs great 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 17.1 tok/s Runs well
Falcon 3 10B InstructTII · 10B 49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 34.6 tok/s Runs welltight fit 36Basic quality (D) · 36 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. 10.9 tok/s Runs well
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 80/100 (quality, fit, speed and memory use) sets the ranking. 37.9 tok/s Runs great 33Basic quality (D) · 33 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. 12.0 tok/s Runs well
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 80/100 (quality, fit, speed and memory use) sets the ranking. 37.6 tok/s Runs great 33Basic quality (D) · 33 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. 11.9 tok/s Runs well
Nemotron 3 Nano 4BNVIDIA · 4.0B 50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 45.7 tok/s Runs great 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. 17.3 tok/s Runs well
Falcon 3 7B InstructTII · 7.5B 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 39.5 tok/s Runs great 38Basic quality (D) · 38 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. 11.9 tok/s Runs well
Qwen2.5 14B Instruct 1MAlibaba · 15B 50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 31.2 tok/s Runs welltight fit 59Good quality (B) · 59 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. 3.2 tok/s Slow
Llama 3.1 Nemotron Nano 4B v1.1NVIDIA · 4.5B 44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 40.2 tok/s Runs great 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. 15.2 tok/s Runs well
Seed-Coder 8B ReasoningByteDance · 8.3B 55Good quality (B) · 55 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. 43.2 tok/s Runs great 48Fair quality (C) · 48 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. 10.8 tok/s Runs well
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 79/100 (quality, fit, speed and memory use) sets the ranking. 40.0 tok/s Runs great 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. 12.7 tok/s Runs well
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 79/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 38Basic quality (D) · 38 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. 11.0 tok/s Runs well
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 79/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 38Basic quality (D) · 38 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. 11.0 tok/s Runs well
EXAONE 3.5 7.8BLG AI Research · 7.8B 43Fair quality (C) · 43 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. 45.6 tok/s Runs great 38Basic quality (D) · 38 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. 11.3 tok/s Runs well
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 79/100 (quality, fit, speed and memory use) sets the ranking. 43.6 tok/s Runs great 38Basic quality (D) · 38 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. 10.9 tok/s Runs well
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 79/100 (quality, fit, speed and memory use) sets the ranking. 43.6 tok/s Runs great 38Basic quality (D) · 38 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. 10.9 tok/s Runs well
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 79/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 38Basic quality (D) · 38 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. 11.1 tok/s Runs well
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 79/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 38Basic quality (D) · 38 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. 11.0 tok/s Runs well
Granite 4.0 H Tiny (7B-A1B)IBM · 6.9B (1.0B active) 43Fair quality (C) · 43 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. 131 tok/s Runs great 43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 40.6 tok/s Runs great
Phi-4 Multimodal InstructMicrosoft · 5.6B 43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 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. 12.3 tok/s Runs well
Phi-4 Reasoning Plus (14B)Microsoft · 15B 60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 31.4 tok/s Runs welltight fit 71Great quality (A) · 71 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. 3.2 tok/s Slow
GLM-Z1 9B (0414)Zhipu AI · 9.4B 55Good quality (B) · 55 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 37.9 tok/s Runs great 40Fair quality (C) · 40 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. 12.0 tok/s Runs well
Mistral Nemo 12B InstructMistral AI · 12B 43Fair quality (C) · 43 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great 49Fair quality (C) · 49 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. 5.6 tok/s Slow
Falcon-H1R 7BTII · 7.6B 54Fair quality (C) · 54 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 38.8 tok/s Runs great 47Fair quality (C) · 47 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. 11.7 tok/s Runs well
Phi-4 Mini (3.8B)Microsoft · 3.8B 44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 47.2 tok/s Runs great 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. 17.9 tok/s Runs well
Phi-3 Small 8K InstructMicrosoft · 7.4B 42Fair quality (C) · 42 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 39.8 tok/s Runs great 36Basic quality (D) · 36 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. 12.0 tok/s Runs well
LFM3-VL 2BLiquid AI · 1.9B 50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 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. 35.7 tok/s Runs great
EXAONE Deep 7.8BLG AI Research · 7.8B 54Fair quality (C) · 54 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 37.6 tok/s Runs great 47Fair quality (C) · 47 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. 11.3 tok/s Runs well
Qwen2 7B InstructAlibaba · 7.6B 42Fair quality (C) · 42 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 38.6 tok/s Runs great 36Basic quality (D) · 36 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. 11.6 tok/s Runs well
Seed-Coder 8B InstructByteDance · 8.3B 53Fair quality (C) · 53 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. 43.2 tok/s Runs great 47Fair quality (C) · 47 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. 10.8 tok/s Runs well
InternVL3 14BShanghai AI Lab · 15B 44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 38.7 tok/s Runs welltight fit 63Good quality (B) · 63 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Hunyuan 4B InstructTencent · 4.2B 42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 43.0 tok/s Runs great 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. 16.3 tok/s Runs well
Gemma 3 4B ITGoogle · 4.3B 45Fair quality (C) · 45 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 42.2 tok/s Runs great 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. 16.0 tok/s Runs well
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 78/100 (quality, fit, speed and memory use) sets the ranking. 41.3 tok/s Runs great 36Basic quality (D) · 36 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. 10.3 tok/s Runs well
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 78/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 36Basic quality (D) · 36 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. 11.0 tok/s Runs well
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 78/100 (quality, fit, speed and memory use) sets the ranking. 43.6 tok/s Runs great 36Basic quality (D) · 36 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. 10.9 tok/s Runs well
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 78/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 36Basic quality (D) · 36 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. 11.0 tok/s Runs well
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 78/100 (quality, fit, speed and memory use) sets the ranking. 44.1 tok/s Runs great 36Basic quality (D) · 36 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. 11.0 tok/s Runs well
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 78/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 36Basic quality (D) · 36 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. 11.0 tok/s Runs well
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 78/100 (quality, fit, speed and memory use) sets the ranking. 43.0 tok/s Runs great 36Basic quality (D) · 36 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. 10.7 tok/s Runs well
Ministral 3 3BMistral AI · 3.9B 44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 47.1 tok/s Runs great 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
Phi-4 Reasoning (14B)Microsoft · 15B 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 31.4 tok/s Runs welltight fit 69Good quality (B) · 69 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
Qwen2.5 Coder 7B InstructAlibaba · 7.6B 53Fair quality (C) · 53 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 38.6 tok/s Runs great 46Fair quality (C) · 46 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. 11.6 tok/s Runs well
Ling Mini 2.0 (16B-A1.4B)Ant Group (inclusionAI) · 16B (1.4B active) 43Fair quality (C) · 43 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. 159 tok/s Runs welltight fit 49Fair quality (C) · 49 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. 42.1 tok/s Runs great
Olmo 3 7B ThinkAi2 · 7.3B 52Fair quality (C) · 52 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 40.3 tok/s Runs great 45Fair quality (C) · 45 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. 12.2 tok/s Runs well
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 78/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 36Basic quality (D) · 36 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. 11.0 tok/s Runs well
MedGemma 4B ITGoogle · 4.3B 44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 42.2 tok/s Runs great 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. 16.0 tok/s Runs well
Qwen2.5-Omni 7BAlibaba · 11B 43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 33.2 tok/s Runs great 32Basic quality (D) · 32 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. 10.5 tok/s Runs well
OpenReasoning Nemotron 7BNVIDIA · 7.6B 52Fair quality (C) · 52 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 38.6 tok/s Runs great 45Fair quality (C) · 45 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. 11.6 tok/s Runs well
Granite 4.1 3BIBM · 3.4B 46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 53.4 tok/s Runs great 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. 20.2 tok/s Runs well
Phi-3.5 Mini InstructMicrosoft · 3.8B 40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 47.5 tok/s Runs great 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. 18.0 tok/s Runs well
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 77/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 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. 11.0 tok/s Runs well
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 77/100 (quality, fit, speed and memory use) sets the ranking. 42.4 tok/s Runs great 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. 10.5 tok/s Runs well
Qwen3.6 35B-A3BAlibaba · 36B (3.0B active) 88Excellent quality (A+) · 88 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. 34.7 tok/s Slowheavy RAM offload 88Excellent quality (A+) · 88 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. 21.2 tok/s Runs well
MiniCPM-V 4.7 35B-A3BOpenBMB · 35B (3.0B active) 88Excellent quality (A+) · 88 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. 35.0 tok/s Slowheavy RAM offload 88Excellent quality (A+) · 88 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. 21.2 tok/s Runs well
Kimi-VL A3B InstructMoonshot AI · 16B (3.0B active) 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 103 tok/s Runs welltight fit 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. 21.2 tok/s Runs well
AFM 4.5BArcee AI · 4.6B 40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 39.3 tok/s Runs great 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. 14.9 tok/s Runs well
Qwen3.5 35B-A3BAlibaba · 36B (3.0B active) 88Excellent quality (A+) · 88 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. 34.7 tok/s Slowheavy RAM offload 88Excellent quality (A+) · 88 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. 21.2 tok/s Runs well
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 77/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 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. 11.0 tok/s Runs well
Ministral 3 14B ReasoningMistral AI · 14B 55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 33.0 tok/s Runs welltight fit 65Good quality (B) · 65 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. 3.4 tok/s Slow
Nex N2 Mini (35B-A3B)Nex-AGI · 35B (3.0B active) 87Excellent quality (A+) · 87 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. 35.1 tok/s Slowheavy RAM offload 87Excellent quality (A+) · 87 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. 21.2 tok/s Runs well
Pixtral 12B (2409)Mistral AI · 12B 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 37.1 tok/s Runs welltight fit 47Fair quality (C) · 47 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. 5.5 tok/s Slow
Flint (40B-A2.5B)Recursive · 40B (2.5B active) 85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 39.2 tok/s Slowheavy RAM offload 85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 25.1 tok/s Runs well
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 77/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 43Fair quality (C) · 43 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. 11.0 tok/s Runs well
AceReason Nemotron 14BNVIDIA · 15B 55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 31.2 tok/s Runs welltight fit 65Good quality (B) · 65 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. 3.2 tok/s Slow
OpenReasoning Nemotron 14BNVIDIA · 15B 55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 31.2 tok/s Runs welltight fit 65Good quality (B) · 65 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. 3.2 tok/s Slow
Qwen2.5 Coder 14B InstructAlibaba · 15B 55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 31.2 tok/s Runs welltight fit 65Good quality (B) · 65 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. 3.2 tok/s Slow
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 77/100 (quality, fit, speed and memory use) sets the ranking. 44.3 tok/s Runs great 33Basic quality (D) · 33 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. 11.0 tok/s Runs well
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 77/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 33Basic quality (D) · 33 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. 11.0 tok/s Runs well
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 77/100 (quality, fit, speed and memory use) sets the ranking. 43.6 tok/s Runs great 33Basic quality (D) · 33 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. 10.9 tok/s Runs well
InternLM2.5 7B ChatShanghai AI Lab · 7.7B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 46.0 tok/s Runs great 33Basic quality (D) · 33 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. 11.5 tok/s Runs well
Groot 19B A3B 261023GrootTeam · 19B (3.0B active) 39Basic quality (D) · 39 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. 121 tok/s Runs welltight fit 54Fair quality (C) · 54 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. 21.2 tok/s Runs well
LFM2 8B-A1BLiquid AI · 8.3B (1.5B active) 37Basic quality (D) · 37 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. 103 tok/s Runs great 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. 39.6 tok/s Runs great
Phi-3.5 Vision InstructMicrosoft · 4.2B 37Basic quality (D) · 37 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. 59.6 tok/s Runs great 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. 16.5 tok/s Runs well
Sage-A1.5 35B-A3BInternScience · 36B (3.0B active) 86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 34.7 tok/s Slowheavy RAM offload 86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
Mistral 7B Instruct v0.3Mistral AI · 7.3B 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. 40.6 tok/s Runs great 31Basic quality (D) · 31 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. 12.2 tok/s Runs well
Zamba2 7B InstructZyphra · 7.4B 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. 40.0 tok/s Runs great 31Basic quality (D) · 31 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. 12.1 tok/s Runs well
Qianfan-OCR 4BBaidu · 4.7B 49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 52.2 tok/s Runs great 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. 14.5 tok/s Runs well
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 76/100 (quality, fit, speed and memory use) sets the ranking. 46.7 tok/s Runs welloffloads to RAM 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 19.1 tok/s Runs well
Ornith 1.5 35B-A3BDeepReinforce · 36B (3.0B active) 85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 34.7 tok/s Slowheavy RAM offload 85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
DeepCoder 14B PreviewAgentica · 15B 53Fair quality (C) · 53 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. 31.2 tok/s Runs welltight fit 63Good quality (B) · 63 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. 3.2 tok/s Slow
Moonlight 16B-A3B InstructMoonshot AI · 16B (3.0B active) 38Basic quality (D) · 38 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. 103 tok/s Runs welltight fit 43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
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 76/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 11.0 tok/s Runs well
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 76/100 (quality, fit, speed and memory use) sets the ranking. 43.0 tok/s Runs great 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 10.7 tok/s Runs well
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 76/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 31Basic quality (D) · 31 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. 11.0 tok/s Runs well
Gemma 3n E2BGoogle · 5.4B 36Basic quality (D) · 36 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. 90.7 tok/s Runs great 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. 34.3 tok/s Runs great
Phi-3 Mini 128K InstructMicrosoft · 3.8B 36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 47.5 tok/s Runs great 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. 18.0 tok/s Runs well
Phi-3 Mini 4K InstructMicrosoft · 3.8B 36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 47.5 tok/s Runs great 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. 18.0 tok/s Runs well
Falcon3 Mamba 7B InstructTII · 7.3B 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. 40.5 tok/s Runs great 31Basic quality (D) · 31 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. 12.2 tok/s Runs well
Maple Preview (20B-A1B)DeepGrove · 20B (1.5B active) 49Fair quality (C) · 49 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. 176 tok/s Runs welltight fit 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. 39.9 tok/s Runs great
EXAONE 3.0 7.8B InstructLG AI Research · 7.8B 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 45.6 tok/s Runs great 31Basic quality (D) · 31 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. 11.3 tok/s Runs well
Apodex 1.1 Mini (35B-A3B)Apodex · 36B (3.0B active) 84Great quality (A) · 84 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 34.7 tok/s Slowheavy RAM offload 84Great quality (A) · 84 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
Ornith 1.0 35B-A3BDeepReinforce · 36B (3.0B active) 84Great quality (A) · 84 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 34.7 tok/s Slowheavy RAM offload 84Great quality (A) · 84 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
GLM-4.7 Flash (30B-A3B)Zhipu AI · 31B (3.0B active) 83Great quality (A) · 83 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. 36.4 tok/s Slowheavy RAM offload 83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
Llama 3.2 11B Vision InstructMeta · 11B 35Basic quality (D) · 35 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. 43.2 tok/s Runs great 29Basic quality (D) · 29 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. 10.6 tok/s Runs well
LightOnOCR-3 4BLightOn · 4.5B 48Fair quality (C) · 48 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 40.0 tok/s Runs great 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. 15.1 tok/s Runs well
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 75/100 (quality, fit, speed and memory use) sets the ranking. 33.2 tok/s Runs great 28Basic quality (D) · 28 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. 10.5 tok/s Runs well
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 75/100 (quality, fit, speed and memory use) sets the ranking. 33.2 tok/s Runs great 28Basic quality (D) · 28 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. 10.5 tok/s Runs well
Hermes 2 Pro Mistral 7BNous Research · 7.2B 34Basic quality (D) · 34 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 40.7 tok/s Runs great 30Basic quality (D) · 30 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. 12.3 tok/s Runs well
OLMo 2 7B InstructAi2 · 7.3B 34Basic quality (D) · 34 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 40.3 tok/s Runs great 30Basic quality (D) · 30 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. 12.2 tok/s Runs well
Starling LM 7B BetaNexusflow · 7.2B 34Basic quality (D) · 34 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 40.7 tok/s Runs great 30Basic quality (D) · 30 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. 12.3 tok/s Runs well
DeepSeek R1 Distill Qwen 14BDeepSeek · 15B 52Fair quality (C) · 52 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. 31.2 tok/s Runs welltight fit 61Good quality (B) · 61 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. 3.2 tok/s Slow
JanusCoder 14BShanghai AI Lab · 15B 52Fair quality (C) · 52 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. 31.2 tok/s Runs welltight fit 61Good quality (B) · 61 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. 3.2 tok/s Slow
North Micro VisionCohere · 2.5B 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. 73.1 tok/s Runs great 41Fair quality (C) · 41 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. 27.7 tok/s Runs well
Granite 4.0 Micro (3B)IBM · 3.4B 40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 53.4 tok/s Runs great 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. 20.2 tok/s Runs well
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 75/100 (quality, fit, speed and memory use) sets the ranking. 40.4 tok/s Runs great 30Basic quality (D) · 30 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 10.0 tok/s Runs well
SmolLM3 3BHugging Face · 3.1B 42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 58.9 tok/s Runs great 39Basic quality (D) · 39 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. 22.3 tok/s Runs well
LFM2.5-VL 3BLiquid AI · 3.1B 44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 58.1 tok/s Runs great 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. 22.0 tok/s Runs well
OpenChat 3.5 (0106)OpenChat · 7.2B 33Basic quality (D) · 33 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 40.7 tok/s Runs great 29Basic quality (D) · 29 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. 12.3 tok/s Runs well
Qwen AgentWorld 35B-A3BAlibaba · 35B (3.0B active) 82Great quality (A) · 82 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 35.3 tok/s Slowheavy RAM offload 82Great quality (A) · 82 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
MiniCPM3 4BOpenBMB · 4.1B 38Basic quality (D) · 38 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. 44.6 tok/s Runs great 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. 16.9 tok/s Runs well
Agents-A1 35B-A3BInternScience · 35B (3.0B active) 82Great quality (A) · 82 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 35.1 tok/s Slowheavy RAM offload 82Great quality (A) · 82 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
Jamba Reasoning 3BAI21 Labs · 3.2B 44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 56.7 tok/s Runs great 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. 21.4 tok/s Runs well
Phi-3 Vision 128K InstructMicrosoft · 4.2B 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. 59.6 tok/s Runs great 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. 16.5 tok/s Runs well
Phi-4 Mini Reasoning (3.8B)Microsoft · 3.8B 46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 47.2 tok/s Runs great 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. 17.9 tok/s Runs well
Phi-3 Medium (14B)Microsoft · 14B 38Basic quality (D) · 38 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. 33.0 tok/s Runs welltight fit 43Fair quality (C) · 43 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. 4.9 tok/s Slow
Phi-3 Medium 128K InstructMicrosoft · 14B 38Basic quality (D) · 38 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. 33.0 tok/s Runs welltight fit 43Fair quality (C) · 43 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. 4.9 tok/s Slow
Mistral 7B Instruct v0.2Mistral AI · 7.2B 32Basic quality (D) · 32 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 40.7 tok/s Runs great 28Basic quality (D) · 28 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. 12.3 tok/s Runs well
Nous Hermes 2 Mistral 7B DPONous Research · 7.2B 32Basic quality (D) · 32 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 40.7 tok/s Runs great 28Basic quality (D) · 28 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. 12.3 tok/s Runs well
OpenChat 3.5 (1210)OpenChat · 7.2B 32Basic quality (D) · 32 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 40.7 tok/s Runs great 28Basic quality (D) · 28 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. 12.3 tok/s Runs well
DeepSeek R1 Distill Qwen 7BDeepSeek · 7.6B 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 38.6 tok/s Runs great 38Basic quality (D) · 38 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. 11.6 tok/s Runs well
Unlimited OCR 2 (3B-A0.6B)Baidu · 3.3B (0.6B active) 44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 86.6 tok/s Runs great 44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 47.7 tok/s Runs great
Voxtral Mini 3BMistral AI · 4.7B 35Basic quality (D) · 35 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. 52.8 tok/s Runs great 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. 14.7 tok/s Runs well
Apriel Nemotron 15B ThinkerServiceNow · 15B 46Fair quality (C) · 46 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. 39.1 tok/s Runs welltight fit 65Good quality (B) · 65 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. 3.2 tok/s Slow
Chandra OCR 2Datalab · 5.3B 47Fair quality (C) · 47 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 46.6 tok/s Runs great 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. 12.9 tok/s Runs well
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 74/100 (quality, fit, speed and memory use) sets the ranking. 44.4 tok/s Runs great 28Basic quality (D) · 28 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. 11.0 tok/s Runs well
WeVisOne-VL 4BTencent · 4.8B 44Fair quality (C) · 44 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. 51.2 tok/s Runs great 42Fair quality (C) · 42 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. 14.2 tok/s Runs well
TMax 2BAi2 · 1.9B 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. 44.5 tok/s Runs great 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. 36.5 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 74/100 (quality, fit, speed and memory use) sets the ranking. 37.9 tok/s Runs great 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. 12.0 tok/s Runs well
LFM2.5 2.6BLiquid AI · 2.7B 44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 67.2 tok/s Runs great 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. 25.4 tok/s Runs well
Gemma 4 26B-A4BGoogle · 26B (3.8B active) 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. 74.2 tok/s Runs welloffloads to RAM 91Excellent quality (A+) · 91 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. 12.0 tok/s Runs well
DeepSeek V2 Lite ChatDeepSeek · 16B (2.4B active) 33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 118 tok/s Runs welltight fit 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. 26.1 tok/s Runs well
OpenHermes 2.5 Mistral 7BTeknium · 7.2B 31Basic quality (D) · 31 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 40.7 tok/s Runs great 26Basic quality (D) · 26 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. 12.3 tok/s Runs well
Starling LM 7B AlphaBerkeley · 7.2B 31Basic quality (D) · 31 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 40.7 tok/s Runs great 26Basic quality (D) · 26 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. 12.3 tok/s Runs well
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 73/100 (quality, fit, speed and memory use) sets the ranking. 37.0 tok/s Runs great 23Basic quality (D) · 23 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. 11.7 tok/s Runs well
Jamba2 3BAI21 Labs · 3.0B 42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 59.9 tok/s Runs great 39Basic quality (D) · 39 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. 22.6 tok/s Runs well
DeepSeek Coder V2 Lite (16B)DeepSeek · 16B (2.4B active) 43Fair quality (C) · 43 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 118 tok/s Runs welltight fit 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. 26.1 tok/s Runs well
S5 nanoMaritaca AI · 4.7B 36Basic quality (D) · 36 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. 53.1 tok/s Runs great 35Basic quality (D) · 35 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. 14.7 tok/s Runs well
Llama 3.2 3B InstructMeta · 3.2B 35Basic quality (D) · 35 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 56.5 tok/s Runs great 33Basic quality (D) · 33 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. 21.4 tok/s Runs well
Mistral 7B Instruct v0.1Mistral AI · 7.2B 29Basic quality (D) · 29 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 40.7 tok/s Runs great 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. 12.3 tok/s Runs well
Unlimited OCR (3B-A0.6B)Baidu · 3.3B (0.6B active) 40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 86.6 tok/s Runs great 40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 47.7 tok/s Runs great
LFM2.5 24B-A2BLiquid AI · 24B (2.5B active) 62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 76.1 tok/s Runs welloffloads to RAM 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. 25.6 tok/s Runs well
MiniCPM-V 4.7 1BOpenBMB · 1.6B 40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 53.9 tok/s Runs great 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 44.3 tok/s Runs great
OLMo 2 13B InstructAi2 · 14B 30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 42.7 tok/s Runs welltight fit 41Fair quality (C) · 41 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. 5.0 tok/s Slow
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 72/100 (quality, fit, speed and memory use) sets the ranking. 33.8 tok/s Slowheavy RAM offload 77Great quality (A) · 77 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. 21.2 tok/s Runs well
Raon-1 mini Preview (30B-A4B)KRAFTON · 29B (4.3B active) 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 61.7 tok/s Runs welloffloads to RAM 87Excellent quality (A+) · 87 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. 10.6 tok/s Runs well
Qwen2.5-VL 3B InstructAlibaba · 3.8B 34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 48.4 tok/s Runs great 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. 18.3 tok/s Runs well
Falcon Mamba 7B InstructTII · 7.3B 29Basic quality (D) · 29 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. 40.5 tok/s Runs great 25Basic quality (D) · 25 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. 12.2 tok/s Runs well
Granite 4.0 H MicroIBM · 3.2B 38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 56.9 tok/s Runs great 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 21.5 tok/s Runs well
Qwen3 1.7BAlibaba · 2.0B 30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 41.2 tok/s Runs great 28Basic quality (D) · 28 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
Neural Chat 7B v3.3Intel · 7.2B 27Basic quality (D) · 27 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. 40.7 tok/s Runs great 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. 12.3 tok/s Runs well
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 72/100 (quality, fit, speed and memory use) sets the ranking. 40.4 tok/s Runs great 33Basic quality (D) · 33 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. 10.0 tok/s Runs well
Yi 1.5 6B Chat01.AI · 6.1B 27Basic quality (D) · 27 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 40.8 tok/s Runs great 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. 11.3 tok/s Runs well
Qwen2.5-Omni 3BAlibaba · 5.5B 29Basic quality (D) · 29 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 44.6 tok/s Runs great 28Basic quality (D) · 28 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. 12.4 tok/s Runs well
Falcon-H1 3B InstructTII · 3.2B 36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 57.6 tok/s Runs great 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. 21.8 tok/s Runs well
LLaVA 1.6 Mistral 7BLLaVA · 7.6B 27Basic quality (D) · 27 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. 38.9 tok/s Runs great 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. 11.7 tok/s Runs well
KAT-Coder V2.5 Dev (35B-A3B)Kuaishou · 35B (3.0B active) 86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 35.3 tok/s Slowheavy RAM offload 86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
Hermes 3 Llama 3.2 3BNous Research · 3.2B 32Basic quality (D) · 32 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 56.5 tok/s Runs great 30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 21.4 tok/s Runs well
OLMoE 1B-7B InstructAi2 · 6.9B (1.3B active) 25Basic quality (D) · 25 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. 113 tok/s Runs great 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 44.8 tok/s Runs great
Zephyr 7B BetaHugging Face · 7.2B 25Basic quality (D) · 25 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. 40.7 tok/s Runs great 21Basic quality (D) · 21 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. 12.3 tok/s Runs well
Qwen3.5 2BAlibaba · 2.3B 40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 79.9 tok/s Runs great 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. 30.2 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 71/100 (quality, fit, speed and memory use) sets the ranking. 40.4 tok/s Runs great 31Basic quality (D) · 31 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. 10.0 tok/s Runs well
Qwen3-VL 2B InstructAlibaba · 2.1B 36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 85.2 tok/s Runs great 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. 32.2 tok/s Runs great
DeepSeek Prover V2 7BDeepSeek · 6.9B 38Basic quality (D) · 38 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. 51.6 tok/s Runs welltight fit 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. 12.8 tok/s Runs well
Qwen2.5 3B InstructAlibaba · 3.1B 34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 58.7 tok/s Runs great 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. 22.2 tok/s Runs well
Falcon 3 3B InstructTII · 3.2B 30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 56.2 tok/s Runs great 25Basic quality (D) · 25 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. 27.5 tok/s Runs well
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 70/100 (quality, fit, speed and memory use) sets the ranking. 33.1 tok/s Slowheavy RAM offload 73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 19.4 tok/s Runs well
Qwen2.5-Math 7B InstructAlibaba · 7.6B 34Basic quality (D) · 34 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. 38.6 tok/s Runs great 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. 11.6 tok/s Runs well
Codestral Mamba 7BMistral AI · 7.3B 34Basic quality (D) · 34 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. 40.4 tok/s Runs great 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. 12.2 tok/s Runs well
Nemotron Cascade 2 30B-A3BNVIDIA · 32B (3.5B active) 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 66.2 tok/s Runs welloffloads to RAM 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. 18.4 tok/s Runs well
StableLM 2 12B ChatStability AI · 12B 23Basic quality (D) · 23 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. 37.9 tok/s Runs great 26Basic quality (D) · 26 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. 5.7 tok/s Slow
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 70/100 (quality, fit, speed and memory use) sets the ranking. 32.9 tok/s Slowheavy RAM offload 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 19.4 tok/s Runs well
Mathstral 7BMistral AI · 7.3B 32Basic quality (D) · 32 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 40.6 tok/s Runs great 28Basic quality (D) · 28 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. 12.2 tok/s Runs well
Hunyuan Hy-Memory 30B-A3BTencent · 30B (3.0B active) 80Great quality (A) · 80 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. 36.3 tok/s Slowheavy RAM offload 80Great quality (A) · 80 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. 21.2 tok/s Runs well
Orca 2 7BMicrosoft · 6.7B 21Basic quality (D) · 21 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 43.7 tok/s Runs great 20Basic quality (D) · 20 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. 10.2 tok/s Runs well
Gemma 1.1 7B ITGoogle · 8.5B 23Basic quality (D) · 23 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 53.9 tok/s Runs welltight fit 23Basic quality (D) · 23 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. 10.4 tok/s Runs well
DiffusionGemma 26B-A4B ITGoogle · 26B (4.0B active) 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 71.3 tok/s Runs welloffloads to RAM 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 16.2 tok/s Runs well
LFM2 2.6BLiquid AI · 2.6B 34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 70.6 tok/s Runs great 32Basic quality (D) · 32 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. 26.7 tok/s Runs well
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 69/100 (quality, fit, speed and memory use) sets the ranking. 33.1 tok/s Slowheavy RAM offload 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 19.4 tok/s Runs well
TeleOCRXingChen-AGI · 1.4B 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. 58.9 tok/s Runs great 38Basic quality (D) · 38 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 39.9 tok/s Runs great
Nemotron 3 Nano 30B-A3BNVIDIA · 32B (3.5B active) 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 66.2 tok/s Runs welloffloads to RAM 73Great quality (A) · 73 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. 18.4 tok/s Runs well
Nanbeige4.3 33BBOSS Zhipin (Nanbeige) · 33B 90Excellent quality (A+) · 90 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. 3.4 tok/s Slowheavy RAM offload 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
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 69/100 (quality, fit, speed and memory use) sets the ranking. 32.9 tok/s Slowheavy RAM offload 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 19.4 tok/s Runs well
ERNIE 4.5 21B-A3BBaidu · 22B (3.0B active) 53Fair quality (C) · 53 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 69.1 tok/s Runs welloffloads to RAM 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
MiniCPM5 1BOpenBMB · 1.1B 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. 77.4 tok/s Runs great 35Basic quality (D) · 35 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. 44.1 tok/s Runs great
Granite 3.1 3B-A800M InstructIBM · 3.3B (0.8B active) 20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 71.7 tok/s Runs great 19Basic quality (D) · 19 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 49.0 tok/s Runs great
Nemotron Mini 4B InstructNVIDIA · 4.2B 22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 43.3 tok/s Runs great 15Basic quality (D) · 15 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. 26.9 tok/s Runs well
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 68/100 (quality, fit, speed and memory use) sets the ranking. 44.2 tok/s Slowheavy RAM offload 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. 26.1 tok/s Runs well
Gemma 7B ITGoogle · 8.5B 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 53.9 tok/s Runs welltight fit 21Basic quality (D) · 21 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. 10.4 tok/s Runs well
Qwen1.5 7B ChatAlibaba · 7.7B 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 59.7 tok/s Runs welltight fit 21Basic quality (D) · 21 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. 11.5 tok/s Runs well
Granite 3.2 2B InstructIBM · 2.5B 30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 71.7 tok/s Runs great 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. 35.1 tok/s Runs great
Granite 3.3 2BIBM · 2.5B 30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 71.7 tok/s Runs great 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. 35.1 tok/s Runs great
Llama 2 7B ChatMeta · 6.7B 19Basic quality (D) · 19 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 43.7 tok/s Runs great 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. 13.2 tok/s Runs well
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 68/100 (quality, fit, speed and memory use) sets the ranking. 44.3 tok/s Runs great 26Basic quality (D) · 26 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. 11.0 tok/s Runs well
InternLM2 Math Plus 7BShanghai AI Lab · 7.7B 30Basic quality (D) · 30 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. 46.0 tok/s Runs great 26Basic quality (D) · 26 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. 11.5 tok/s Runs well
Baichuan 2 7B ChatBaichuan · 7.5B 19Basic quality (D) · 19 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. 47.4 tok/s Runs great 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. 11.8 tok/s Runs well
Yi 6B Chat01.AI · 6.1B 19Basic quality (D) · 19 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 40.8 tok/s Runs great 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. 14.6 tok/s Runs well
DeepSeek Coder 6.7B InstructDeepSeek · 6.7B 32Basic quality (D) · 32 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. 52.9 tok/s Runs welltight fit 32Basic quality (D) · 32 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. 10.2 tok/s Runs well
EXAONE 3.5 2.4BLG AI Research · 2.4B 30Basic quality (D) · 30 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 75.3 tok/s Runs great 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. 36.8 tok/s Runs great
SmolLM2 1.7B InstructHugging Face · 1.7B 20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 48.9 tok/s Runs great 19Basic quality (D) · 19 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great
Qwen3.8 27BAlibaba · 28B 66Good quality (B) · 66 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. 11.5 tok/s Runs welloffloads to RAM 80Great quality (A) · 80 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
EXAONE 4.0 1.2BLG AI Research · 1.3B 30Basic quality (D) · 30 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 65.3 tok/s Runs great 29Basic quality (D) · 29 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 44.3 tok/s Runs great
Granite 3.0 3B-A800M InstructIBM · 3.4B (0.8B active) 18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 71.7 tok/s Runs great 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. 49.0 tok/s Runs great
Granite Vision 3.2 2BIBM · 3.0B 26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 60.9 tok/s Runs great 18Basic quality (D) · 18 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. 37.8 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 68/100 (quality, fit, speed and memory use) sets the ranking. 110 tok/s Runs welltight fit 20Basic quality (D) · 20 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. 29.7 tok/s Runs well
Granite 3.1 2B InstructIBM · 2.5B 28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 71.7 tok/s Runs great 23Basic quality (D) · 23 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. 35.1 tok/s Runs great
DeepSeek LLM 7B ChatDeepSeek · 6.9B 17Basic quality (D) · 17 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 42.6 tok/s Runs great 15Basic quality (D) · 15 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. 12.8 tok/s Runs well
WeVisOne VL 2BTencent · 2.4B 27Basic quality (D) · 27 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. 74.3 tok/s Runs great 22Basic quality (D) · 22 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. 36.4 tok/s Runs great
Orca 2 13BMicrosoft · 13B 19Basic quality (D) · 19 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 44.9 tok/s Runs welltight fit 26Basic quality (D) · 26 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. 5.3 tok/s Slow
Gemma 2 2BGoogle · 2.6B 28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 69.5 tok/s Runs great 23Basic quality (D) · 23 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. 34.0 tok/s Runs great
LLM4Decompile 6.7B V2LLM4Binary · 6.7B 30Basic quality (D) · 30 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. 52.9 tok/s Runs welltight fit 30Basic quality (D) · 30 of 100: how capable the model is at Q4_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
Nemotron 3.5 Lightning 30B-A3BNVIDIA · 32B (3.0B active) 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 74.6 tok/s Runs welloffloads to RAM 68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
MiniCPM-OCR 1.0 1.3BOpenBMB · 1.3B 42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 64.3 tok/s Runs great 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. 43.6 tok/s Runs great
Qwen3.6 27BAlibaba · 28B 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 11.5 tok/s Runs welloffloads to RAM 78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
LFM2.5 1.2B InstructLiquid AI · 1.2B 32Basic quality (D) · 32 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 71.5 tok/s Runs great 31Basic quality (D) · 31 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 40.7 tok/s Runs great
SmolVLM2 2.2B InstructHugging Face · 2.3B 24Basic quality (D) · 24 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. 80.6 tok/s Runs great 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. 39.4 tok/s Runs great
Gemma 4 31BGoogle · 31B 86Excellent quality (A+) · 86 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. 3.7 tok/s Slowheavy RAM offload 63Good quality (B) · 63 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. 3.6 tok/s Slow
Qwen3.5 27BAlibaba · 28B 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 11.5 tok/s Runs welloffloads to RAM 78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
DeepSeek MoE 16B ChatDeepSeek · 16B (2.8B active) 18Basic quality (D) · 18 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 126 tok/s Runs welltight fit 21Basic quality (D) · 21 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. 28.7 tok/s Runs well
Llama 2 13B ChatMeta · 13B 18Basic quality (D) · 18 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 44.9 tok/s Runs welltight fit 24Basic quality (D) · 24 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. 5.3 tok/s Slow
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 67/100 (quality, fit, speed and memory use) sets the ranking. 31.3 tok/s Slowheavy RAM offload 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 19.4 tok/s Runs well
Granite 4.0 H 1BIBM · 1.5B 28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 57.3 tok/s Runs great 27Basic quality (D) · 27 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 38.8 tok/s Runs great
Qwen2.5 Coder 3B InstructAlibaba · 3.1B 36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 58.7 tok/s Runs great 34Basic quality (D) · 34 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. 22.2 tok/s Runs well
LLaVA 1.5 7BLLaVA · 7.1B 15Basic quality (D) · 15 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. 41.7 tok/s Runs great 11Basic quality (D) · 11 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. 16.0 tok/s Runs well
Kimi Linear 48B-A3BMoonshot AI · 49B (3.0B active) 62Good quality (B) · 62 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. 42.4 tok/s Slowheavy RAM offload 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. 21.2 tok/s Runs well
StarCoder2 15B InstructBigCode · 16B 28Basic quality (D) · 28 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 36.7 tok/s Runs great 38Basic quality (D) · 38 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. 4.3 tok/s Slow
Hunyuan 1.8B InstructTencent · 1.8B 22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 46.7 tok/s Runs great 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. 38.3 tok/s Runs great
Falcon-H1 1.5B InstructTII · 1.6B 26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 53.9 tok/s Runs great 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 44.3 tok/s Runs great
CodeGemma 7BGoogle · 8.5B 28Basic quality (D) · 28 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 53.9 tok/s Runs welltight fit 28Basic quality (D) · 28 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. 10.4 tok/s Runs well
SQLCoder 7B v2Defog · 6.7B 28Basic quality (D) · 28 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. 52.9 tok/s Runs welltight fit 28Basic quality (D) · 28 of 100: how capable the model is at Q4_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
SmolVLM 2.2B InstructHugging Face · 2.3B 22Basic quality (D) · 22 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. 80.6 tok/s Runs great 18Basic quality (D) · 18 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. 39.4 tok/s Runs great
Muse Glimmer 30BMeta · 30B 64Good quality (B) · 64 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. 10.5 tok/s Runs welloffloads to RAM 64Good quality (B) · 64 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. 3.8 tok/s Slow
TMax 27BAi2 · 27B 63Good quality (B) · 63 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. 11.9 tok/s Runs welloffloads to RAM 75Great quality (A) · 75 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. 3.2 tok/s Slow
ERNIE 4.5 21B-A3B ThinkingBaidu · 22B (3.0B active) 58Good quality (B) · 58 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. 69.5 tok/s Runs welloffloads to RAM 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
Granite 3.0 2B InstructIBM · 2.6B 26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 69.0 tok/s Runs great 21Basic quality (D) · 21 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. 33.7 tok/s Runs great
WizardMath 7B v1.1WizardLM · 7.2B 25Basic quality (D) · 25 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. 40.7 tok/s Runs great 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. 12.3 tok/s Runs well
InternLM2.5 1.8B ChatShanghai AI Lab · 1.9B 18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 44.2 tok/s Runs great 17Basic quality (D) · 17 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. 36.3 tok/s Runs great
PaddleOCR-VL 1.6 0.9BBaidu · 1.0B 42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 87.1 tok/s Runs great 41Fair quality (C) · 41 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 49.6 tok/s Runs great
LFM2 24B-A2BLiquid AI · 24B (2.3B active) 47Fair quality (C) · 47 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. 80.2 tok/s Runs welloffloads to RAM 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. 27.1 tok/s Runs well
OLMo 7B InstructAi2 · 6.9B 13Basic quality (D) · 13 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 42.7 tok/s Runs great 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. 16.4 tok/s Runs well
Vicuna 7B v1.5LMSYS · 6.7B 13Basic quality (D) · 13 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 43.7 tok/s Runs great 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. 16.7 tok/s Runs well
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 65/100 (quality, fit, speed and memory use) sets the ranking. 33.1 tok/s Slowheavy RAM offload 74Great quality (A) · 74 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. 19.4 tok/s Runs well
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 65/100 (quality, fit, speed and memory use) sets the ranking. 33.1 tok/s Slowheavy RAM offload 74Great quality (A) · 74 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. 19.4 tok/s Runs well
Qwen2.5 1.5B InstructAlibaba · 1.5B 24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 54.3 tok/s Runs great 22Basic quality (D) · 22 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 44.6 tok/s Runs great
LLaVA 1.5 13BLLaVA · 13B 15Basic quality (D) · 15 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. 43.8 tok/s Runs welltight fit 20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 5.1 tok/s Slow
WizardLM 13B v1.2WizardLM · 13B 15Basic quality (D) · 15 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. 44.9 tok/s Runs welltight fit 20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 5.3 tok/s Slow
Fara 1.5 27BMicrosoft · 27B 61Good quality (B) · 61 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. 11.9 tok/s Runs welloffloads to RAM 73Great quality (A) · 73 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. 3.2 tok/s Slow
LFM2-VL 1.6BLiquid AI · 1.6B 24Basic quality (D) · 24 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 52.9 tok/s Runs great 22Basic quality (D) · 22 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 43.4 tok/s Runs great
Trinity Mini (26B-A3B)Arcee AI · 26B (3.0B active) 46Fair quality (C) · 46 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. 90.3 tok/s Runs welloffloads to RAM 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
StarCoder2 7BBigCode · 7.2B 23Basic quality (D) · 23 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 41.1 tok/s Runs great 20Basic quality (D) · 20 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 44/100 (quality, fit, speed and memory use) sets the ranking. 12.4 tok/s Runs well
Vicuna 13B v1.5LMSYS · 13B 14Basic quality (D) · 14 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. 44.9 tok/s Runs welltight fit 19Basic quality (D) · 19 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 5.3 tok/s Slow
UI-Mate 27BTencent · 27B 60Good quality (B) · 60 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. 11.9 tok/s Runs welloffloads to RAM 72Great quality (A) · 72 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. 3.2 tok/s Slow
InternLM 7BShanghai AI Lab · 7.3B 11Basic quality (D) · 11 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 40.2 tok/s Runs great 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. 15.4 tok/s Runs well
North Mini Code 1.0 (30B-A3B)Cohere · 30B (3.0B active) 56Good quality (B) · 56 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. 75.1 tok/s Runs welloffloads to RAM 76Great quality (A) · 76 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. 21.2 tok/s Runs well
LFM2 1.2BLiquid AI · 1.2B 26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 71.5 tok/s Runs great 25Basic quality (D) · 25 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. 40.7 tok/s Runs great
Zamba2 2.7B InstructZyphra · 2.7B 22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 68.2 tok/s Runs great 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. 33.4 tok/s Runs great
StableLM Zephyr 3BStability AI · 2.8B 16Basic quality (D) · 16 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 64.8 tok/s Runs great 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. 40.3 tok/s Runs great
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 64/100 (quality, fit, speed and memory use) sets the ranking. 35.1 tok/s Slowheavy RAM offload 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
StarCoder2 15B (base)BigCode · 16B 22Basic quality (D) · 22 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. 36.7 tok/s Runs great 30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. 4.3 tok/s Slow
Qwen2-VL 2B InstructAlibaba · 2.2B 24Basic quality (D) · 24 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. 82.1 tok/s Runs great 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. 40.1 tok/s Runs great
Code Llama 7B InstructMeta · 6.7B 22Basic quality (D) · 22 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. 52.9 tok/s Runs welltight fit 22Basic quality (D) · 22 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. 10.2 tok/s Runs well
GLiDE 2BFastino · 1.9B 17Basic quality (D) · 17 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. 44.5 tok/s Runs great 16Basic quality (D) · 16 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. 36.5 tok/s Runs great
Granite Code 3B Instruct (128K)IBM · 3.5B 20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 52.1 tok/s Runs great 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. 32.4 tok/s Runs great
Stable Code Instruct 3BStability AI · 2.8B 20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 64.8 tok/s Runs great 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. 40.3 tok/s Runs great
Falcon 3 1B InstructTII · 1.7B 16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 50.1 tok/s Runs great 15Basic quality (D) · 15 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. 41.1 tok/s Runs great
Llama 3.2 1B InstructMeta · 1.2B 22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 67.4 tok/s Runs great 21Basic quality (D) · 21 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 45.7 tok/s Runs great
Qwen3.5 0.8BAlibaba · 0.9B 26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 96.1 tok/s Runs great 26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 40.2 tok/s Runs great
EXAONE 4.5 33BLG AI Research · 34B 77Great quality (A) · 77 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 57Good quality (B) · 57 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
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 63/100 (quality, fit, speed and memory use) sets the ranking. 35.1 tok/s Slowheavy RAM offload 56Good quality (B) · 56 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. 21.2 tok/s Runs well
Granite Code 20B InstructIBM · 20B 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 29.2 tok/s Runs welltight fit 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
Phi-2 2.7BMicrosoft · 2.8B 16Basic quality (D) · 16 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 65.3 tok/s Runs great 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. 40.5 tok/s Runs great
DeepScaleR 1.5B PreviewAgentica · 1.8B 26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 47.0 tok/s Runs great 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 38.6 tok/s Runs great
Spark X2.6 1.7BSparkLLM · 1.7B 16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 48.9 tok/s Runs great 15Basic quality (D) · 15 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. 40.1 tok/s Runs great
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 62/100 (quality, fit, speed and memory use) sets the ranking. 14.2 tok/s Runs welloffloads to RAM 63Good quality (B) · 63 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. 3.7 tok/s Slow
SmolLM 1.7B InstructHugging Face · 1.7B 14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 48.9 tok/s Runs great 13Basic quality (D) · 13 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. 40.1 tok/s Runs great
StarCoder 15BBigCode · 16B 18Basic quality (D) · 18 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. 37.0 tok/s Runs great 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 43/100 (quality, fit, speed and memory use) sets the ranking. 4.3 tok/s Slow
Qwen2 1.5B InstructAlibaba · 1.5B 16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 54.3 tok/s Runs great 15Basic quality (D) · 15 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. 44.6 tok/s Runs great
Falcon 7B InstructTII · 7.2B 5Basic quality (D) · 5 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. 40.8 tok/s Runs great 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. 15.6 tok/s Runs well
OLMo 2 1B InstructAi2 · 1.5B 14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 56.5 tok/s Runs great 13Basic quality (D) · 13 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. 46.4 tok/s Runs great
Qwen2.5 Coder 1.5B InstructAlibaba · 1.5B 26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 54.3 tok/s Runs great 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 44.6 tok/s Runs great
Qwen3-VL 32B InstructAlibaba · 33B 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slowheavy RAM offload 54Fair quality (C) · 54 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. 3.4 tok/s Slow
StableLM 2 1.6B ChatStability AI · 1.6B 10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 51.0 tok/s Runs great 9Basic quality (D) · 9 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. 41.8 tok/s Runs great
StableLM 2 Zephyr 1.6BStability AI · 1.6B 10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 51.0 tok/s Runs great 9Basic quality (D) · 9 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. 41.8 tok/s Runs great
Granite 4.2 30BIBM · 29B 73Great quality (A) · 73 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slowheavy RAM offload 63Good quality (B) · 63 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. 3.0 tok/s Slow
Gemma 3 1BGoogle · 1.0B 20Basic quality (D) · 20 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. 83.6 tok/s Runs great 19Basic quality (D) · 19 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. 47.6 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 61/100 (quality, fit, speed and memory use) sets the ranking. 14.9 tok/s Runs welloffloads to RAM 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slow
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 61/100 (quality, fit, speed and memory use) sets the ranking. 14.9 tok/s Runs welloffloads to RAM 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slow
DeepSeek R1 Distill Qwen 1.5BDeepSeek · 1.8B 22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 47.0 tok/s Runs great 20Basic quality (D) · 20 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. 38.6 tok/s Runs great
d1 2BLiquid AI · 1.9B 21Basic quality (D) · 21 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 19Basic quality (D) · 19 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. 35.7 tok/s Runs great
Qwen3 32BAlibaba · 33B 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 53Fair quality (C) · 53 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. 3.4 tok/s Slow
Gemma 3 27B ITGoogle · 27B 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 11.4 tok/s Runs welloffloads to RAM 60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
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 60/100 (quality, fit, speed and memory use) sets the ranking. 14.9 tok/s Runs welloffloads to RAM 57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slow
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 60/100 (quality, fit, speed and memory use) sets the ranking. 14.2 tok/s Runs welloffloads to RAM 57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow
Yi Coder 1.5B Chat01.AI · 1.5B 16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 56.5 tok/s Runs great 15Basic quality (D) · 15 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. 46.4 tok/s Runs great
GLM-4 32B 0414Zhipu AI · 33B 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slowheavy RAM offload 51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
MedGemma 27B Text ITGoogle · 27B 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 11.8 tok/s Runs welloffloads to RAM 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
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 59/100 (quality, fit, speed and memory use) sets the ranking. 14.2 tok/s Runs welloffloads to RAM 55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow
Granite 4.1 30BIBM · 29B 69Good quality (B) · 69 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slowheavy RAM offload 60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Hemmingway 1.5Hemmingway · 27B 46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 12.5 tok/s Runs welloffloads to RAM 56Good quality (B) · 56 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
Qwen3 0.6BAlibaba · 0.8B 14Basic quality (D) · 14 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. 111 tok/s Runs great 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. 46.6 tok/s Runs great
Terminal RSI 27BTeriminal-RSI · 28B 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. 11.5 tok/s Runs welloffloads to RAM 57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
Gemma 2B ITGoogle · 2.5B 12Basic quality (D) · 12 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 72.3 tok/s Runs great 8Basic quality (D) · 8 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. 44.9 tok/s Runs great
EXAONE 4.0 32BLG AI Research · 32B 68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slowheavy RAM offload 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
Olmo 3.1 32B InstructAi2 · 32B 68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slowheavy RAM offload 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
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 59/100 (quality, fit, speed and memory use) sets the ranking. 14.9 tok/s Runs welloffloads to RAM 53Fair quality (C) · 53 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. 3.8 tok/s Slow
LFM2 700MLiquid AI · 0.7B 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. 113 tok/s Runs great 18Basic quality (D) · 18 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 47.2 tok/s Runs great
Granite 4.0 H Small (32B-A9B)IBM · 32B (9.0B active) 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 13.2 tok/s Slowheavy RAM offload 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. 12.1 tok/s Runs well
Seed-OSS 36B InstructByteDance · 36B 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 4.1 tok/s Slowheavy RAM offload 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Qwen2.5-Math 1.5B InstructAlibaba · 1.5B 20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 54.3 tok/s Runs great 19Basic quality (D) · 19 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. 44.6 tok/s Runs great
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 58/100 (quality, fit, speed and memory use) sets the ranking. 17.7 tok/s Runs welloffloads to RAM 57Good quality (B) · 57 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. 3.1 tok/s Slow
Hermes 4.3 36BNous Research · 36B 66Good quality (B) · 66 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. 4.1 tok/s Slowheavy RAM offload 55Good quality (B) · 55 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. 3.1 tok/s Slow
StarCoder2 3BBigCode · 3.0B 18Basic quality (D) · 18 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 59.9 tok/s Runs great 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. 37.2 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 58/100 (quality, fit, speed and memory use) sets the ranking. 14.2 tok/s Runs welloffloads to RAM 52Fair quality (C) · 52 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. 3.7 tok/s Slow
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 58/100 (quality, fit, speed and memory use) sets the ranking. 13.8 tok/s Runs welloffloads to RAM 52Fair quality (C) · 52 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. 3.7 tok/s Slow
Baichuan M2 32BBaichuan · 33B 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 49Fair quality (C) · 49 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. 3.4 tok/s Slow
Qwen2.5 32B InstructAlibaba · 33B 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 49Fair quality (C) · 49 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. 3.4 tok/s Slow
Reka Flash 3.1 (21B)Reka AI · 21B 55Good quality (B) · 55 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. 12.2 tok/s Runs welloffloads to RAM 62Good quality (B) · 62 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. 3.3 tok/s Slow
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 58/100 (quality, fit, speed and memory use) sets the ranking. 14.9 tok/s Runs welloffloads to RAM 50Fair quality (C) · 50 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. 3.8 tok/s Slow
DeepSeek Coder 1.3B InstructDeepSeek · 1.4B 12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 61.9 tok/s Runs great 11Basic quality (D) · 11 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 42.0 tok/s Runs great
LLM4Decompile 1.3B V2LLM4Binary · 1.4B 12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 61.9 tok/s Runs great 11Basic quality (D) · 11 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 42.0 tok/s Runs great
Qwen2.5-VL 32B InstructAlibaba · 33B 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slowheavy RAM offload 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. 3.4 tok/s Slow
InternVL3.5 38BShanghai AI Lab · 38B 63Good quality (B) · 63 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. 3.8 tok/s Slowheavy RAM offload 75Great quality (A) · 75 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. 1.2 tok/s Very slow
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 57/100 (quality, fit, speed and memory use) sets the ranking. 12.6 tok/s Runs welloffloads to RAM 47Fair quality (C) · 47 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. 3.5 tok/s Slow
Phi-3.5 MoE (42B-A6.6B)Microsoft · 42B (6.6B active) 53Fair quality (C) · 53 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. 15.4 tok/s Slowheavy RAM offload 53Fair quality (C) · 53 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. 10.0 tok/s Runs well
QwQ 32BAlibaba · 33B 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 54Fair quality (C) · 54 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. 3.4 tok/s Slow
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 56/100 (quality, fit, speed and memory use) sets the ranking. 14.2 tok/s Runs welloffloads to RAM 60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow
Falcon-H1 0.5B InstructTII · 0.5B 14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 161 tok/s Runs great 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. 67.2 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 56/100 (quality, fit, speed and memory use) sets the ranking. 15.4 tok/s Runs welloffloads to RAM 51Fair quality (C) · 51 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. 3.1 tok/s Slow
GLiDE 0.8BFastino · 0.8B 11Basic quality (D) · 11 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. 111 tok/s Runs great 11Basic quality (D) · 11 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. 46.6 tok/s Runs great
Olmo 3.1 32B ThinkAi2 · 32B 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slowheavy RAM offload 53Fair quality (C) · 53 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. 3.5 tok/s Slow
OpenReasoning Nemotron 32BNVIDIA · 33B 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 53Fair quality (C) · 53 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. 3.4 tok/s Slow
Skywork OR1 32BSkywork · 33B 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 53Fair quality (C) · 53 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. 3.4 tok/s Slow
Falcon-H1 34B InstructTII · 34B 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
LFM2.5 350MLiquid AI · 0.4B 14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 239 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. 46.0 tok/s Runs great
Gemma 2 27B ITGoogle · 27B 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 4.5 tok/s Slowheavy RAM offload 52Fair quality (C) · 52 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. 3.3 tok/s Slow
Hunyuan 0.5B InstructTencent · 0.5B 8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 155 tok/s Runs great 8Basic quality (D) · 8 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. 64.7 tok/s Runs great
TinyLlama 1.1B ChatTinyLlama · 1.1B 6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 76.0 tok/s Runs great 5Basic quality (D) · 5 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. 43.3 tok/s Runs great
CodeGemma 2BGoogle · 2.5B 14Basic quality (D) · 14 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 72.3 tok/s Runs great 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. 44.9 tok/s Runs great
LFM2-VL 450MLiquid AI · 0.5B 12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 186 tok/s Runs great 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. 77.6 tok/s Runs great
GLM-Z1 32B (0414)Zhipu AI · 33B 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slowheavy RAM offload 51Fair quality (C) · 51 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
SmolVLM 500M InstructHugging Face · 0.5B 10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 164 tok/s Runs great 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. 68.5 tok/s Runs great
InternVL3 38BShanghai AI Lab · 38B 58Good quality (B) · 58 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. 3.8 tok/s Slowheavy RAM offload 69Good quality (B) · 69 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. 1.2 tok/s Very slow
EXAONE Deep 32BLG AI Research · 32B 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slowheavy RAM offload 51Fair quality (C) · 51 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. 3.5 tok/s Slow
Command R (08-2024) 32BCohere · 32B 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slowheavy RAM offload 43Fair quality (C) · 43 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. 3.5 tok/s Slow
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 54/100 (quality, fit, speed and memory use) sets the ranking. 14.9 tok/s Runs welloffloads to RAM 55Good quality (B) · 55 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. 3.8 tok/s Slow
LFM2 350MLiquid AI · 0.4B 12Basic quality (D) · 12 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. 239 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. 46.0 tok/s Runs great
InternLM2 Chat 20BShanghai AI Lab · 20B 29Basic quality (D) · 29 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. 23.1 tok/s Runs welloffloads to RAM 39Basic quality (D) · 39 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. 3.5 tok/s Slow
Granite 4.0 H 350MIBM · 0.3B 12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 246 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. 47.4 tok/s Runs great
Qwen2.5 0.5B InstructAlibaba · 0.5B 10Basic quality (D) · 10 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 171 tok/s Runs great 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. 71.3 tok/s Runs great
OLMo 2 32B InstructAi2 · 32B 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slowheavy RAM offload 42Fair quality (C) · 42 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. 3.5 tok/s Slow
Aya Expanse 32BCohere · 32B 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slowheavy RAM offload 42Fair quality (C) · 42 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. 3.5 tok/s Slow
DeepSeek R1 Distill Qwen 32BDeepSeek · 33B 68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 50Fair quality (C) · 50 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. 3.4 tok/s Slow
Aya Vision 32BCohere · 33B 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slowheavy RAM offload 42Fair quality (C) · 42 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. 3.4 tok/s Slow
SenseNova 6.8 Code2VideoSenseTime · 27B 46Fair quality (C) · 46 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. 11.9 tok/s Runs welloffloads to RAM 55Good quality (B) · 55 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. 3.2 tok/s Slow
Codestral 22BMistral AI · 22B 43Fair quality (C) · 43 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. 15.4 tok/s Runs welloffloads to RAM 58Good quality (B) · 58 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. 3.1 tok/s Slow
Llama 3.3 Nemotron Super 49B v1.5NVIDIA · 50B 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slowheavy RAM offload 80Great quality (A) · 80 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. 0.7 tok/s Very slow
SmolLM2 360M InstructHugging Face · 0.4B 8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 232 tok/s Runs great 8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 44.7 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 53/100 (quality, fit, speed and memory use) sets the ranking. 363 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. 70.0 tok/s Runs great
OpenHands LM 32BAll Hands AI · 33B 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 49Fair quality (C) · 49 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. 3.4 tok/s Slow
Baichuan 2 13B ChatBaichuan · 14B 18Basic quality (D) · 18 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 welloffloads to RAM 24Basic quality (D) · 24 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. 4.9 tok/s Slow
Nous Hermes 2 Mixtral 8x7B DPONous Research · 47B (12.9B active) 49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 7.8 tok/s Slowheavy RAM offload 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. 3.6 tok/s Slow
Qwen2 0.5B InstructAlibaba · 0.5B 6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 171 tok/s Runs great 6Basic quality (D) · 6 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. 71.3 tok/s Runs great
surya ocr 2.5Datalab · 0.7B 15Basic quality (D) · 15 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 121 tok/s Runs great 15Basic quality (D) · 15 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. 50.6 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 52/100 (quality, fit, speed and memory use) sets the ranking. 15.4 tok/s Runs welloffloads to RAM 55Good quality (B) · 55 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. 3.1 tok/s Slow
ERNIE 4.5 0.3BBaidu · 0.4B 6Basic quality (D) · 6 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 232 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. 44.7 tok/s Runs great
Mixtral 8x7B InstructMistral AI · 47B (12.9B active) 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 7.8 tok/s Slowheavy RAM offload 49Fair quality (C) · 49 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. 3.6 tok/s Slow
Qwen2.5 Coder 32B InstructAlibaba · 33B 63Good quality (B) · 63 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
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 51/100 (quality, fit, speed and memory use) sets the ranking. 322 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. 61.9 tok/s Runs great
SmolLM 360M InstructHugging Face · 0.4B 5Basic quality (D) · 5 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 232 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. 44.7 tok/s Runs great
QwQ 32B PreviewAlibaba · 33B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
Gemma 3 270MGoogle · 0.3B 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. 310 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. 59.6 tok/s Runs great
Jamba 1.5 MiniAI21 Labs · 52B (12.0B active) 42Fair quality (C) · 42 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. 11.6 tok/s Slowheavy RAM offload 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. 5.6 tok/s Slow
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 50/100 (quality, fit, speed and memory use) sets the ranking. 643 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. 124 tok/s Runs great
Qwen2 57B-A14B InstructAlibaba · 57B (14.0B active) 42Fair quality (C) · 42 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. 9.5 tok/s Slowheavy RAM offload 49Fair quality (C) · 49 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. 3.4 tok/s Slow
Yi 1.5 34B Chat01.AI · 34B 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
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 49/100 (quality, fit, speed and memory use) sets the ranking. 929 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. 179 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 49/100 (quality, fit, speed and memory use) sets the ranking. 643 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. 124 tok/s Runs great
InternLM2 Math Plus 20BShanghai AI Lab · 20B 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. 23.1 tok/s Runs welloffloads to RAM 38Basic quality (D) · 38 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. 3.5 tok/s Slow
Qwen2.5 Coder 0.5B InstructAlibaba · 0.5B 8Basic quality (D) · 8 of 100: how capable the model is at F16, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. 171 tok/s Runs great 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. 71.3 tok/s Runs great
Qwen1.5 32B ChatAlibaba · 33B 41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 30Basic quality (D) · 30 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. 3.5 tok/s Slow
LLaVA 1.6 34BLLaVA · 35B 41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slowheavy RAM offload 30Basic quality (D) · 30 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. 3.2 tok/s Slow
CogVLM2 Llama 3 Chat 19BZhipu AI · 20B 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. 6.0 tok/s Slowheavy RAM offload 36Basic quality (D) · 36 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. 3.5 tok/s Slow
Yi 34B Chat01.AI · 34B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 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. 3.3 tok/s Slow
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 44/100 (quality, fit, speed and memory use) sets the ranking. 7.2 tok/s Slowheavy RAM offload 32Basic quality (D) · 32 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. 4.8 tok/s Slow
DeepSeek Coder 33B InstructDeepSeek · 33B 41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 42/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slowheavy RAM offload 30Basic quality (D) · 30 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. 3.4 tok/s Slow
Granite Code 34B InstructIBM · 34B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 40/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slowheavy RAM offload 28Basic quality (D) · 28 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. 3.3 tok/s Slow
DeepSeek LLM 67B ChatDeepSeek · 67B 28Basic quality (D) · 28 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 40/100 (quality, fit, speed and memory use) sets the ranking. 2.5 tok/s Very slowheavy RAM offload 39Basic quality (D) · 39 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 0.7 tok/s Very slow
Code Llama 34B InstructMeta · 34B 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 39/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slowheavy RAM offload 26Basic quality (D) · 26 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. 3.3 tok/s Slow
Llama 2 70B ChatMeta · 69B 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 39/100 (quality, fit, speed and memory use) sets the ranking. 2.5 tok/s Very slowheavy RAM offload 35Basic quality (D) · 35 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. 0.7 tok/s Very slow
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 38/100 (quality, fit, speed and memory use) sets the ranking. 8.0 tok/s Slowheavy RAM offload 28Basic quality (D) · 28 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. 5.3 tok/s Slow
Code Llama 70B InstructMeta · 69B 30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 36/100 (quality, fit, speed and memory use) sets the ranking. 2.5 tok/s Very slowheavy RAM offload 43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 0.7 tok/s Very slow
Falcon 40B InstructTII · 42B 13Basic quality (D) · 13 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 34/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slowheavy RAM offload 15Basic quality (D) · 15 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 44/100 (quality, fit, speed and memory use) sets the ranking. 1.6 tok/s Very slow
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 85/100 (quality, fit, speed and memory use) sets the ranking. 13.7 tok/s Runs well
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
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 81Great quality (A) · 81 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. 3.8 tok/s Slowtight fit
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 92Excellent quality (A+) · 92 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. 3.8 tok/s Slowtight fit
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 91Excellent quality (A+) · 91 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. 4.5 tok/s Slowtight fit
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 91Excellent quality (A+) · 91 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. 11.0 tok/s Runs well
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 80Great quality (A) · 80 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. 5.1 tok/s Slowtight fit
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 79Great quality (A) · 79 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. 5.1 tok/s Slowtight fit
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 90Excellent quality (A+) · 90 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. 4.4 tok/s Slowtight fit
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 79Great quality (A) · 79 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. 5.1 tok/s Slowtight fit
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 79Great quality (A) · 79 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slowtight fit
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 79Great quality (A) · 79 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slowtight fit
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 89Excellent quality (A+) · 89 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. 3.2 tok/s Slowtight fit
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 78/100 (quality, fit, speed and memory use) sets the ranking. 4.7 tok/s Slowtight fit
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 89Excellent quality (A+) · 89 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. 5.2 tok/s Slowtight fit
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 89Excellent quality (A+) · 89 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. 4.5 tok/s Slowtight fit
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 78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 5.1 tok/s Slowtight fit
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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 92Excellent quality (A+) · 92 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. 3.9 tok/s Slow
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 89Excellent quality (A+) · 89 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. 5.6 tok/s Slow
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 78/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
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 78/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well
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 92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 4.3 tok/s Slow
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
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 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 73/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well
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 78/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well
Nemotron 3.5 Bolt 74B-A9BNVIDIA · 75B (9.0B 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 72/100 (quality, fit, speed and memory use) sets the ranking. 12.1 tok/s Runs well
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 89Excellent quality (A+) · 89 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. 4.3 tok/s Slowtight fit
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 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 73/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well
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 91Excellent quality (A+) · 91 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. 4.3 tok/s Slow
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
Kolibri 1 (78B-A3.5B)Aleph Alpha · 78B (3.5B 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 86Excellent quality (A+) · 86 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. 18.6 tok/s Runs well
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 77/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well
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 86Excellent quality (A+) · 86 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. 3.1 tok/s Slow
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 71/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slowtight fit
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 86Excellent quality (A+) · 86 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. 4.5 tok/s Slowtight fit
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 85Excellent quality (A+) · 85 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. 3.1 tok/s Slow
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 85Excellent quality (A+) · 85 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. 4.5 tok/s Slow
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 77/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well
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 84Great quality (A) · 84 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. 3.1 tok/s Slow
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 73Great quality (A) · 73 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. 3.5 tok/s Slow
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 73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slow
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
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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 87Excellent quality (A+) · 87 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. 3.9 tok/s Slow
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 83Great quality (A) · 83 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. 3.1 tok/s Slow
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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 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. 0.3 tok/s Very slow
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 72Great quality (A) · 72 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. 3.1 tok/s Slow
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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 72Great quality (A) · 72 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 10.7 tok/s Runs well
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 81Great quality (A) · 81 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. 0.3 tok/s Very slow
Qwen3 Coder Next (80B-A3B)Alibaba · 80B (3.0B 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 81Great quality (A) · 81 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
Qwen3-Next 80B-A3B ThinkingAlibaba · 81B (3.0B 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 81Great quality (A) · 81 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. 21.2 tok/s Runs well
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 79Great quality (A) · 79 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. 3.1 tok/s Slow
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 75/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
Qwen3 Next 80B-A3B InstructAlibaba · 81B (3.0B 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 79Great quality (A) · 79 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 21.2 tok/s Runs well
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
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 82Great quality (A) · 82 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. 3.9 tok/s Slow
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 73/100 (quality, fit, speed and memory use) sets the ranking. 2.4 tok/s Very slowtight fit
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 82Great quality (A) · 82 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. 0.3 tok/s Very slow
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 75/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 77Great quality (A) · 77 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 12.9 tok/s Runs well
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 73/100 (quality, fit, speed and memory use) sets the ranking. 2.4 tok/s Very slowtight 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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 76Great quality (A) · 76 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. 11.0 tok/s Runs well
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 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. 0.3 tok/s Very slow
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 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 6.7 tok/s Slowtight 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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 0.3 tok/s Very slow
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 76Great quality (A) · 76 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. 1.5 tok/s Very slowtight fit
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 79Great quality (A) · 79 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. 3.9 tok/s Slow
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 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 0.2 tok/s Very slowtight fit
Kimi Dev 72BMoonshot AI · 73B 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 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 0.5 tok/s Very slow
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 11.5 tok/s Runs well
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 0.3 tok/s Very slow
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 79Great quality (A) · 79 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. 3.9 tok/s Slow
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 3.9 tok/s Slow
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 78Great quality (A) · 78 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. 0.3 tok/s Very slow
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 65Good quality (B) · 65 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. 5.1 tok/s Slowtight fit
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 78Great quality (A) · 78 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. 0.3 tok/s Very slow
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 10.8 tok/s Runs well
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 75Great quality (A) · 75 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. 3.4 tok/s Slow
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 10.8 tok/s Runs well
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 71/100 (quality, fit, speed and memory use) sets the ranking. 2.4 tok/s Very slowtight fit
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 63Good quality (B) · 63 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 0.2 tok/s Very slowtight fit
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
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 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 67/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well
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 70Great quality (A) · 70 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. 3.2 tok/s Slow
Hermes 4 70BNous Research · 71B 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 74Great quality (A) · 74 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. 0.5 tok/s Very slow
Hunyuan A13B (80B-A13B)Tencent · 80B (13.0B 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 73Great quality (A) · 73 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. 3.6 tok/s Slow
InternVL3 78BShanghai AI Lab · 78B 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 74Great quality (A) · 74 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. 0.4 tok/s Very slow
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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 10.2 tok/s Runs well
Llama 3.3 70B InstructMeta · 71B 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 74Great quality (A) · 74 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. 0.5 tok/s Very slow
Qwen2.5 72B InstructAlibaba · 73B 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 73Great quality (A) · 73 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. 0.5 tok/s Very slow
Qwen2.5-VL 72B InstructAlibaba · 73B 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 73Great quality (A) · 73 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. 0.5 tok/s Very slow
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 68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
DeepSeek R1 Distill Llama 70BDeepSeek · 71B 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 72Great quality (A) · 72 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. 0.5 tok/s Very slow
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 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. 3.2 tok/s Slow
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 60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 0.2 tok/s Very slowtight fit
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 60Good quality (B) · 60 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. 5.1 tok/s Slowtight fit
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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 69Good quality (B) · 69 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
Tülu 3 70BAi2 · 71B 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 72Great quality (A) · 72 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. 0.5 tok/s Very slow
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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 70Great quality (A) · 70 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. 0.3 tok/s Very slow
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 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 11.0 tok/s Runs well
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 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 0.9 tok/s Very slowtight fit
Llama 3.1 70B InstructMeta · 71B 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 70Great quality (A) · 70 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. 0.5 tok/s Very slow
Hermes 3 (Llama 3.1 70B)Nous Research · 71B 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 68Good quality (B) · 68 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. 0.5 tok/s Very slow
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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 12.9 tok/s Runs well
QVQ 72B PreviewAlibaba · 73B 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 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 0.5 tok/s Very slow
Apertus v1.5 70BSwiss AI · 72B 46Fair quality (C) · 46 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 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. 0.5 tok/s Very slow
Llama 3.1 Nemotron 70B InstructNVIDIA · 71B 46Fair quality (C) · 46 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 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. 0.5 tok/s Very slow
Llama 3.2 90B Vision InstructMeta · 89B 46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 0.4 tok/s Very slow
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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 64Good quality (B) · 64 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 0.3 tok/s Very slow
Qwen2 72B InstructAlibaba · 73B 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 64Good quality (B) · 64 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. 0.5 tok/s Very slow
Qwen2-VL 72B InstructAlibaba · 73B 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 64Good quality (B) · 64 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. 0.5 tok/s Very slow
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 58Good quality (B) · 58 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. 3.2 tok/s Slow
Apertus 70B InstructSwiss AI · 71B 42Fair quality (C) · 42 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 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. 0.7 tok/s Very slow
Llama 3 70B InstructMeta · 71B 40Fair quality (C) · 40 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 57Good quality (B) · 57 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. 0.7 tok/s Very slow
Qwen2.5-Math 72B InstructAlibaba · 73B 40Fair quality (C) · 40 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 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. 0.7 tok/s Very slow
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 54Fair quality (C) · 54 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slow
Command R 35B (v01)Cohere · 35B 37Basic quality (D) · 37 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 37Basic quality (D) · 37 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. 3.2 tok/s Slow
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 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 0.3 tok/s Very slow
Aya 23 35BCohere · 35B 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 54/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
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 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. 0.8 tok/s Very slowtight fit
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 65/100 (quality, fit, speed and memory use) sets the ranking. 6.5 tok/s Slowtight fit
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 33Basic quality (D) · 33 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. 0.3 tok/s Very slow

Image models

52 of 60 image models run on the Intel Arc B570. 10.0 GB usable for models.

60 of 60 image models run on the Intel Xeon Silver (4100 to 4300 series) NAS (256 GB). 230 GB usable for models.

Model QualityArc B570 SpeedArc B570 RunsArc B570 QualityXeon Silver (4100 to 4300 series) NAS SpeedXeon Silver (4100 to 4300 series) NAS RunsXeon Silver (4100 to 4300 series) NAS
FLUX.2 [klein] 4BBlack Forest Labs · 3.9B 72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 5.6 s Runs welltight fit 78Great quality (A) · 78 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. 49 s Slow
FLUX.2 [klein] 9BBlack Forest Labs · 9.1B 78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 11 s Runs greatencoder in RAM 84Great quality (A) · 84 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. 89 s Slow
FLUX 3 Image KleinBlack Forest Labs · 5.6B 89Excellent quality (A+) · 89 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. 25 s Runs wellencoder in RAM 91Excellent quality (A+) · 91 of 100: how capable the model is at FP16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 4.7 min Very slow
Z-Image TurboAlibaba (Tongyi) · 6.2B 82Great quality (A) · 82 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. 11 s Runs welltight fit · encoder in RAM 84Great quality (A) · 84 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. 2.1 min Slow
ERNIE-Image TurboBaidu · 8.0B 79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 19 s Runs wellencoder in RAM 85Excellent quality (A+) · 85 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
DreamShaper XL v2 TurboLykon · 2.6B 56Good quality (B) · 56 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. 5.5 s Runs great 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. 64 s Slow
Krea 2 TurboKrea · 12.8B 90Excellent quality (A+) · 90 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. 24 s Runs wellCPU offload 92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 3.5 min Very slow
MOSS-Image SFTOpenMOSS · 5.1B 80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 62 s Slowencoder in RAM 82Great quality (A) · 82 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. 11.5 min Very slow
FLUX.1 [schnell]Black Forest Labs · 11.9B 65Good quality (B) · 65 of 100: how capable the model is at NF4, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 11 s Runs welltight fit · encoder in RAM 70Great quality (A) · 70 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. 1.6 min Slow
SDXL-Lightning (4-step)ByteDance · 2.6B 52Fair quality (C) · 52 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. 3.0 s Runs great 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. 35 s Runs well
Lumina-Image 2.0Shanghai AI Lab · 2.6B 60Good quality (B) · 60 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. 30 s Runs well 62Good quality (B) · 62 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. 5.8 min Very slow
Juggernaut XL v9RunDiffusion · 2.6B 60Good quality (B) · 60 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. 19 s Runs well 62Good quality (B) · 62 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. 3.7 min Very slow
RealVisXL V5.0SG161222 · 2.6B 60Good quality (B) · 60 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. 19 s Runs well 62Good quality (B) · 62 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. 3.7 min Very slow
ERNIE-ImageBaidu · 8.0B 81Great quality (A) · 81 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. 2.2 min Slowencoder in RAM 88Excellent quality (A+) · 88 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. 18.1 min Very slow
Stable Diffusion 3.5 Large TurboStability AI · 8.1B 57Good quality (B) · 57 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. 9.5 s Runs greatencoder in RAM 62Good quality (B) · 62 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. 79 s Slow
Animagine XL 4.0Cagliostro Lab · 2.6B 58Good quality (B) · 58 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. 18 s Runs well 60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.5 min Very slow
Illustrious XL v0.1OnomaAI · 2.6B 58Good quality (B) · 58 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. 18 s Runs well 60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.5 min Very slow
Pony Diffusion V6 XLPurpleSmartAI · 2.6B 56Good quality (B) · 56 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. 16 s Runs well 58Good quality (B) · 58 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. 3.1 min Very slow
Z-ImageAlibaba (Tongyi) · 6.2B 80Great quality (A) · 80 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. 75 s Slowtight fit · encoder in RAM 82Great quality (A) · 82 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. 14.0 min Very slow
Animagine XL 3.1Cagliostro Lab · 2.6B 54Fair quality (C) · 54 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. 18 s Runs well 56Good quality (B) · 56 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. 3.5 min Very slow
Stable CascadeStability AI · 5.2B 50Fair quality (C) · 50 of 100: how capable the model is at FP8, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 21 s Runs well 52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 4.1 min Very slow
SDXL TurboStability AI · 2.6B 40Fair quality (C) · 40 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. 0.7 s Runs great 40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 7.4 s Runs great
Stable Diffusion XL 1.0Stability AI · 2.6B 53Fair quality (C) · 53 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. 19 s Runs well 55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.7 min Very slow
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 72/100 (quality, fit, speed and memory use) sets the ranking. 2.3 min Very slowCPU offload 93Excellent quality (A+) · 93 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. 18.5 min Very slow
Iris-3BSperidlabs · 3.0B 72Great quality (A) · 72 of 100: how capable the model is at FP16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 79 s Slowencoder in RAM 72Great quality (A) · 72 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. 13.2 min Very slow
Playground v2.5Playground AI · 2.6B 58Good quality (B) · 58 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. 32 s Runs well 60Good quality (B) · 60 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. 6.2 min Very slow
FLUX.1 [dev]Black Forest Labs · 11.9B 74Great quality (A) · 74 of 100: how capable the model is at NF4, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 65 s Slowtight fit · encoder in RAM 80Great quality (A) · 80 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. 9.9 min Very slow
Chroma1-HDLodestone Rock · 8.9B 72Great quality (A) · 72 of 100: how capable the model is at NF4, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 1.8 min Slowencoder in RAM 78Great quality (A) · 78 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. 16.4 min Very slow
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 70/100 (quality, fit, speed and memory use) sets the ranking. 28 s Runs welltight fit 52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 4.9 min Very slow
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 69/100 (quality, fit, speed and memory use) sets the ranking. 30 s Runs wellencoder in RAM 58Good quality (B) · 58 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. 4.9 min Very slow
OmniGen2BAAI (VectorSpaceLab) · 4.0B 64Good quality (B) · 64 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 71 s Slowencoder in RAM 66Good quality (B) · 66 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. 13.2 min Very slow
Ideogram 4Ideogram · 18.6B 90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 2.3 min Very slowtight fit · CPU offload 92Excellent quality (A+) · 92 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. 20.5 min Very slow
AuraFlow v0.3fal · 6.9B 53Fair quality (C) · 53 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 79 s Slow 58Good quality (B) · 58 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. 11.5 min Very slow
CogView4 6BZhipu AI · 6.4B 68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 80 s Slowtight fit · encoder in RAM 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. 14.8 min Very slow
FLUX.1 Krea [dev]Black Forest Labs · 11.9B 80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 66 s SlowCPU offload 82Great quality (A) · 82 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 9.9 min Very slow
KolorsKuaishou · 2.6B 58Good quality (B) · 58 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. 18 s Runs wellencoder in RAM 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. 3.3 min Very slow
Stable Diffusion 3.5 LargeStability AI · 8.1B 61Good quality (B) · 61 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 65 s Slowencoder in RAM 66Good quality (B) · 66 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. 9.0 min Very slow
FLUX.1 Kontext [dev]Black Forest Labs · 11.9B 80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 2.0 min SlowCPU offload 82Great quality (A) · 82 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 18.1 min Very slow
FLUX.1 Fill [dev]Black Forest Labs · 11.9B 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. 69 s SlowCPU offload 76Great quality (A) · 76 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. 10.3 min Very slow
Stable Diffusion 3 MediumStability AI · 2.0B 50Fair quality (C) · 50 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 14 s Runs wellencoder in RAM 52Fair quality (C) · 52 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. 2.5 min Very slow
FireRed-Image-Edit 1.1rednote (FireRed Team) · 20.4B 80Great quality (A) · 80 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 9.8 min Very slowCPU offload 87Excellent quality (A+) · 87 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. 65.8 min Very slow
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 65/100 (quality, fit, speed and memory use) sets the ranking. 5.6 s Runs great 42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 59 s Slow
HiDream-I1 DevHiDream.ai · 17.1B 78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 1.6 min Slowtight fit · CPU offload 80Great quality (A) · 80 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. 14.0 min Very slow
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 65/100 (quality, fit, speed and memory use) sets the ranking. 5.3 min Very slowtight fit · CPU offload 84Great quality (A) · 84 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. 37.0 min Very slow
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 65/100 (quality, fit, speed and memory use) sets the ranking. 7.4 s Runs greatencoder in RAM 50Fair quality (C) · 50 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. 74 s Slow
Qwen-Image-Edit 2511Alibaba · 20.4B 79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 9.8 min Very slowCPU offload 86Excellent quality (A+) · 86 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. 65.8 min Very slow
HiDream-I1 FastHiDream.ai · 17.1B 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 55 s Slowtight fit · CPU offload 76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 8.2 min Very slow
DreamShaper 8Lykon · 0.9B 40Fair quality (C) · 40 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. 5.6 s Runs great 40Fair quality (C) · 40 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. 59 s Slow
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 62/100 (quality, fit, speed and memory use) sets the ranking. 5.6 s Runs great 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. 59 s Slow
Kandinsky 3Sber AI · 3.0B 48Fair quality (C) · 48 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. 44 s Slowtight fit · encoder in RAM 48Fair quality (C) · 48 of 100: how capable the model is at FP16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 7.4 min Very slow
SD TurboStability AI · 0.9B 28Basic quality (D) · 28 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. 0.4 s Runs great 28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 3.9 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 59/100 (quality, fit, speed and memory use) sets the ranking. 1.2 s Runs great 30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 12 s Runs great
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 12/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 92Excellent quality (A+) · 92 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. 32.9 min Very slow
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 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 90Excellent quality (A+) · 90 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. 49.3 min Very slow
Qwen-Image 2.1Alibaba · 7.1B 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 93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 49.3 min Very slow
Qwen-ImageAlibaba · 20.4B 86Excellent quality (A+) · 86 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 88Excellent quality (A+) · 88 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. 74.0 min Very slow
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 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 92Excellent quality (A+) · 92 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. 29.6 min Very slow
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 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 86Excellent quality (A+) · 86 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. 13.4 min Very slow
Qwen-Image 2512Alibaba · 20.4B 83Great quality (A) · 83 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 90Excellent quality (A+) · 90 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. 74.0 min Very slow
Qwen-Image 2.1 TurboAlibaba · 7.1B 82Great quality (A) · 82 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 89Excellent quality (A+) · 89 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. 9.5 min Very slow

Video models

11 of 43 video models run on the Intel Arc B570. 10.0 GB usable for models.

43 of 43 video models run on the Intel Xeon Silver (4100 to 4300 series) NAS (256 GB). 230 GB usable for models.

Model QualityArc B570 SpeedArc B570 RunsArc B570 QualityXeon Silver (4100 to 4300 series) NAS SpeedXeon Silver (4100 to 4300 series) NAS RunsXeon Silver (4100 to 4300 series) NAS
LTX-Video 2BLightricks · 1.9B 50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 2.1 min Runs greatencoder in RAM 50Fair quality (C) · 50 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. 20.5 min Slow
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 66/100 (quality, fit, speed and memory use) sets the ranking. 1.6 min Runs great 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. 16.4 min Slow
CogVideoX 2BZhipu AI · 1.7B 44Fair quality (C) · 44 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. 4.4 min Runs wellencoder in RAM 45Fair quality (C) · 45 of 100: how capable the model is at FP16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 49.3 min Very slow
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 65/100 (quality, fit, speed and memory use) sets the ranking. 19.7 min Slowencoder in RAM 55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.3 h Very slow
Wan 2.1 VACE 1.3BAlibaba · 2.2B 53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 19.2 min Slowencoder in RAM 55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.6 h Very slow
CogVideoX 5BZhipu AI · 5.0B 53Fair quality (C) · 53 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. 13.3 min Slowtight fit · encoder in RAM 55Good quality (B) · 55 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. 2.5 h Very slow
HY-OmniWeaving (8.3B, unified video)Tencent · 8.3B 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 48.5 min Very slowCPU offload 76Great quality (A) · 76 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. 7.3 h Very slow
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 60/100 (quality, fit, speed and memory use) sets the ranking. 31.5 min Slowtight fit · CPU offload 68Good quality (B) · 68 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. 4.2 h Very slow
Wan 2.2 S2V 14B (speech to video)Alibaba · 16.3B 70Great quality (A) · 70 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 2.0 h Very slowtight fit · CPU offload 76Great quality (A) · 76 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. 13.7 h Very slow
Wan 2.1 I2V 14B 480PAlibaba · 14.0B 68Good quality (B) · 68 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 1.8 h Very slowtight fit · CPU offload 74Great quality (A) · 74 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. 12.3 h Very slow
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 57/100 (quality, fit, speed and memory use) sets the ranking. 18.3 min SlowCPU offload 55Good quality (B) · 55 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. 2.5 h Very slow
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 79/100 (quality, fit, speed and memory use) sets the ranking. 30.8 h Very slow
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 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 73/100 (quality, fit, speed and memory use) sets the ranking. 40.3 h Very slow
MiniMax H3 (33B, video + audio)MiniMax · 20.1B 83Great quality (A) · 83 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 90Excellent quality (A+) · 90 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. 14.2 h Very slow
Bernini-R A14B (video generation + editing)ByteDance · 14.3B 83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 85Excellent quality (A+) · 85 of 100: how capable the model is at FP16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 9.9 h Very slow
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 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 FP16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 24.7 h Very slow
LTX-2.5 (22B, video + audio)Lightricks · 21.0B 81Great quality (A) · 81 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 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 75/100 (quality, fit, speed and memory use) sets the ranking. 74.8 min Very slow
LTX-2.3Lightricks · 18.9B 79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 86Excellent quality (A+) · 86 of 100: how capable the model is at FP16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 5.5 h Very slow
Wan 2.2 I2V A14BAlibaba · 14.0B 79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 86Excellent quality (A+) · 86 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. 21.9 h Very slow
Wan 2.2 T2V A14BAlibaba · 14.0B 79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 86Excellent quality (A+) · 86 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. 21.9 h Very slow
SCAIL-2 14B (character animation)Zhipu AI · 16.4B 78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 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 FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 16.4 h Very slow
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 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 78Great quality (A) · 78 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. 32.9 h Very slow
LTX-2 (19B, video + audio)Lightricks · 18.9B 76Great quality (A) · 76 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 82Great quality (A) · 82 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 5.5 h Very slow
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 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 42.5 h Very slow
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 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 60.3 h Very slow
Wan 2.1 I2V 14B 720PAlibaba · 14.0B 72Great quality (A) · 72 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 78Great quality (A) · 78 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. 27.4 h Very slow
Wan 2.1 T2V 14BAlibaba · 14.0B 72Great quality (A) · 72 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 78Great quality (A) · 78 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. 27.4 h Very slow
Wan 2.1 VACE 14BAlibaba · 17.3B 72Great quality (A) · 72 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 78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 30.1 h Very slow
Wan 2.2 Animate 14BAlibaba · 17.3B 72Great quality (A) · 72 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 78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 26.0 h Very slow
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 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 74Great quality (A) · 74 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. 5.5 h Very slow
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 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 74Great quality (A) · 74 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. 19.2 h Very slow
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 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 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. 41.1 h Very slow
Cosmos-Predict2 14B Video2WorldNVIDIA · 14.0B 68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 70Great quality (A) · 70 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. 21.9 h Very slow
HunyuanVideo 13BTencent · 13.0B 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 72Great quality (A) · 72 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. 32.9 h Very slow
HunyuanVideo I2V 13BTencent · 13.0B 66Good quality (B) · 66 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 72Great quality (A) · 72 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. 32.9 h Very slow
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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 68Good quality (B) · 68 of 100: how capable the model is at FP16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 49.3 min Very slow
Wan 2.2 TI2V 5BAlibaba · 5.0B 65Good quality (B) · 65 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 70Great quality (A) · 70 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. 7.1 h Very slow
Mochi 1 Preview (10B)Genmo · 10.0B 60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 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 FP16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 15.1 h Very slow
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 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 FP16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 7.5 h Very slow
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 12.3 h Very slow
Cosmos-Predict2 2B Video2WorldNVIDIA · 2.0B 56Good quality (B) · 56 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 58Good quality (B) · 58 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. 3.4 h Very slow
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 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 FP16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 16.4 h Very slow
SkyReels V2 Diffusion Forcing 1.3BSkywork · 1.4B 50Fair quality (C) · 50 of 100: how capable the model is at FP8, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 4.1 h Very slow

Decision models

66 of 70 decision models run on the Intel Arc B570. 10.0 GB usable for models.

70 of 70 decision models run on the Intel Xeon Silver (4100 to 4300 series) NAS (256 GB). 230 GB usable for models.

Model QualityArc B570 SpeedArc B570 RunsArc B570 QualityXeon Silver (4100 to 4300 series) NAS SpeedXeon Silver (4100 to 4300 series) NAS RunsXeon Silver (4100 to 4300 series) NAS
Jina Reranker v3.5Jina AI · 600M 86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. 35 ms Runs great 86Excellent quality (A+) · 86 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. 899 ms Slow
Jina Reranker v3Jina AI · 600M 84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. 35 ms Runs great 84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 899 ms Slow
d1 3BLiquid AI · 3.1B 82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 84 ms Runs great 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. 2.4 s Very slow
mxbai-rerank-large v2Mixedbread · 1.5B 82Great quality (A) · 82 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 85 ms Runs great 82Great quality (A) · 82 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. 2.3 s Very slow
Intern-Decision 4BShanghai AI Lab · 4.5B 83Great quality (A) · 83 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 114 ms Runs great 84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 3.5 s Very slow
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 91/100 (quality, fit, speed and memory use) sets the ranking. 189 ms Runs well 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. 6.0 s Very slow
FRIDA-DecisionsSber AI · 820M 80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 25 ms Runs great 80Great quality (A) · 80 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. 656 ms Slow
GLiNER2.5 DecideFastino · 490M 80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 16 ms Runs great 80Great quality (A) · 80 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. 394 ms Runs well
Qwen3 Reranker 0.6BAlibaba · 600M 80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. 35 ms Runs great 80Great quality (A) · 80 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. 899 ms Slow
zerank-1 smallZeroEntropy · 1.7B 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. 94 ms Runs great 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. 2.6 s Very slow
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 90/100 (quality, fit, speed and memory use) sets the ranking. 104 ms Runs great 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. 3.6 s Very slow
zerank-2ZeroEntropy · 4.0B 88Excellent quality (A+) · 88 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. 189 ms Runs well 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. 6.0 s Very slow
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 89/100 (quality, fit, speed and memory use) sets the ranking. 181 ms Runs well 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. 5.7 s Very slow
Llama Prompt Guard 2 86MMeta · 280M 76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. 18 ms Runs great 76Great quality (A) · 76 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. 449 ms Slow
mxbai-rerank-base v2Mixedbread · 490M 76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. 30 ms Runs great 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. 735 ms Slow
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 88/100 (quality, fit, speed and memory use) sets the ranking. 119 ms Runs great 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. 3.7 s Very slow
GLiClass ModernBERT Large v3Knowledgator · 400M 74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. 14 ms Runs great 74Great quality (A) · 74 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. 322 ms Runs well
OpenAI Privacy FilterOpenAI · 1.4B (50M active) 78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. 5.3 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. 50 ms Runs great
Qwen3 Reranker 8BAlibaba · 8.2B 89Excellent quality (A+) · 89 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. 369 ms Runs well 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. 12.2 s Very slow
BGE Reranker v2 M3BAAI · 570M 72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 33 ms Runs great 72Great quality (A) · 72 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. 910 ms Slow
DeBERTa v3 Large Zero-shot v2.0Moritz Laurer · 440M 72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 15 ms Runs great 72Great quality (A) · 72 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. 354 ms Runs well
DuoGuard 0.5BDuoGuard · 490M 72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 29 ms Runs great 72Great quality (A) · 72 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. 783 ms Slow
Skywork Reward V2 Qwen3 0.6BSkywork · 600M 72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 65 ms Runs great 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. 1.9 s Very slow
GTE Reranker ModernBERT BaseAlibaba · 150M 70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. 12 ms Runs great 70Great quality (A) · 70 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. 243 ms Runs well
Jina Reranker v2 Base MultilingualJina AI · 280M 70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. 18 ms Runs great 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. 449 ms Slow
ModernBERT Large Zero-shot v2.0Moritz Laurer · 400M 70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. 14 ms Runs great 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. 322 ms Runs well
GLiGuard 300MFastino · 210M 68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 15 ms Runs great 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. 338 ms Runs well
Granite Embedding Reranker English R2IBM · 150M 68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 12 ms Runs great 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 243 ms Runs well
LayaConvai Innovations · 420M 68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 15 ms Runs great 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. 338 ms Runs well
Llama Prompt Guard 2 22MMeta · 71M 68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 7.6 ms Runs great 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 117 ms Runs great
Qwen3Guard Gen 0.6BAlibaba · 750M 74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 88 ms Runs great 74Great quality (A) · 74 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. 1.2 s Slow
GLiClass Base v3Knowledgator · 190M 66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 8.8 ms Runs great 66Good quality (B) · 66 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. 155 ms Runs well
ProtectAI DeBERTa v3 Prompt Injection v2Protect AI · 180M 66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 13 ms Runs great 66Good quality (B) · 66 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. 290 ms Runs well
DeBERTa v3 Base Zero-shot v2.0Moritz Laurer · 180M 64Good quality (B) · 64 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 8.6 ms Runs great 64Good quality (B) · 64 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. 147 ms Runs well
GLiNER2 Base v1Fastino · 210M 68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 9.3 ms Runs great 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 171 ms Runs well
Qwen3Guard Gen 4BAlibaba · 4.4B 83Great quality (A) · 83 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 290 ms Runs well 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. 7.2 s Very slow
HHEM 2.1 OpenVectara · 110M 62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 15 ms Runs great 62Good quality (B) · 62 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. 354 ms Runs well
LettuceDetect LargeKR Labs · 400M 66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 44 ms Runs great 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. 1.3 s Slow
Laya MultilingualConvai Innovations · 320M 60Good quality (B) · 60 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 12 ms Runs great 60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 258 ms Runs well
Qwen3Guard Gen 8BAlibaba · 8.2B 85Excellent quality (A+) · 85 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. 534 ms Slow 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. 13.4 s Very slow
Llama 3.1 Nemotron Safety Guard 8B v3NVIDIA · 8.0B 83Great quality (A) · 83 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. 524 ms Slow 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. 13.1 s Very slow
GLiNER Multi v2.1Urchade Zaratiana · 290M 62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 11 ms Runs great 62Good quality (B) · 62 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. 235 ms Runs well
Granite Guardian 4.1 8BIBM · 8.4B 83Great quality (A) · 83 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. 547 ms Slow 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. 13.7 s Very slow
BART Large MNLIMeta · 410M 56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 14 ms Runs great 56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 330 ms Runs well
ShieldGemma 2BGoogle · 2.6B 58Good quality (B) · 58 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 124 ms Runs great 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. 3.9 s Very slow
WildGuard 7BAi2 · 7.3B 79Great quality (A) · 79 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. 473 ms Slow 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. 11.9 s Very slow
Granite Guardian 3.3 8BIBM · 8.2B 79Great quality (A) · 79 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. 533 ms Slow 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. 13.4 s Very slow
NuExtract 2.0 4BNuMind · 3.8B 73Great quality (A) · 73 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 386 ms Runs well 76Great quality (A) · 76 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. 5.3 s Very slow
NuExtract 2.0 2BNuMind · 2.2B 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 198 ms Runs well 70Great quality (A) · 70 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. 3.1 s Very slow
ms-marco MiniLM L6 v2Sentence Transformers · 23M 52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 5.2 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. 46 ms Runs great
Llama Guard 3 1BMeta · 1.5B 55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 101 ms Runs great 56Good quality (B) · 56 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. 2.5 s Very slow
ShieldGemma 9BGoogle · 9.2B 62Good quality (B) · 62 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 409 ms Slow 64Good quality (B) · 64 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. 13.8 s Very slow
Llama Guard 3 8BMeta · 8.0B 67Good quality (B) · 67 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. 524 ms Slow 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. 13.1 s Very slow
Nemotron Content Safety Reasoning 4BNVIDIA · 4.3B 77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 3.0 s Very slow 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 26.0 s Very slow
DynaGuard 8BUniversity of Maryland · 8.2B 78Great quality (A) · 78 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 5.6 s Very slow 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. 49.5 s Very slow
Selene 1 Mini 8BAtla · 8.0B 79Great quality (A) · 79 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. 5.5 s Very slow 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. 58.0 s Very slow
CompassJudger-2 7BOpenCompass · 7.6B 77Great quality (A) · 77 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. 5.2 s Very slow 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. 55.0 s Very slow
Llama Guard 4 12BMeta · 12B 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. 692 ms Slowtight fit 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. 19.6 s Very slow
DynaGuard 1.7BUniversity of Maryland · 2.0B 67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 1.2 s Slow 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. 12.3 s Very slow
Prometheus 2 7BPrometheus Eval · 7.2B 67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 5.0 s Very slow 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. 52.3 s Very slow
GLIDERPatronus AI · 3.8B 65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 2.6 s Very slow 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. 27.6 s Very slow
Flow Judge v0.1Flow AI · 3.8B 63Good quality (B) · 63 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 2.6 s Very slow 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. 27.6 s Very slow
gpt-oss-safeguard 20BOpenAI · 22B (3.6B active) 76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.6 s Very slowoffloads to RAM 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. 13.7 s Very slow
CompassJudger-2 32BOpenCompass · 33B 85Excellent quality (A+) · 85 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 70.9 s Very slowheavy RAM offload 86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 236.5 s Very slow
ShieldGemma 27BGoogle · 27B 66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 2.7 s Very slowheavy RAM offload 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. 40.6 s Very slow
Prometheus 2 8x7BPrometheus Eval · 47B (13B active) 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. 20.7 s Very slowheavy RAM offload 74Great quality (A) · 74 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. 93.7 s Very slow
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 12/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 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. 23.9 s Very slow
GLiDE 27BFastino · 26B 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 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. 20.7 s Very slow
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 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 Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 24.1 s Very 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 72/100 (quality, fit, speed and memory use) sets the ranking. 19.1 s Very slow

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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