Intel Arc A380 vs Raspberry Pi 5 (16 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 Arc A380

For general chat: Its ten best models average a score of 87 vs 80; it runs 37 more LLMs (433 vs 396); it is about 17.2× faster on its top models.

Side by side

Swap sides All models on the Arc A380 All models on the Raspberry Pi 5

  Intel Arc A380Intel Arc A380 Raspberry Pi 5Raspberry Pi 5 (16 GB)
Memory 6.0 GB VRAM 16.0 GB unified
Usable for models 6.0 GB 13.6 GB
Memory bandwidth 186 GB/s 17 GB/s
FP16 compute 8.2 TFLOPS 0.2 TFLOPS
Launch price $139 —
Released 2022 2023
LLMs that run 433 of 619 396 of 619
LLMs that run well 296 103
Image models that run 43 of 60 54 of 60
Video models that run 3 of 43 15 of 43
Decision models that run 63 of 70 65 of 70
Top-10 LLM average score 87 80
Top-10 LLM average speed 47.8 tok/s 2.8 tok/s
Best LLM Nanbeige4.2 3B Gemma 4 12B

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

LLMs

433 of 619 LLMs run on the Intel Arc A380. 6.0 GB usable for models.

396 of 619 LLMs run on the Raspberry Pi 5 (16 GB). 13.6 GB usable for models.

Model QualityArc A380 SpeedArc A380 RunsArc A380 QualityRaspberry Pi 5 SpeedRaspberry Pi 5 RunsRaspberry Pi 5
Nanbeige4.2 3BBOSS Zhipin (Nanbeige) · 4.2B 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. 41.8 tok/s Runs great 65Good quality (B) · 65 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
Nemotron 3.5 Bolt E4BNVIDIA · 8.0B 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. 38.8 tok/s Runs welltight fit 67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
Nemotron Labs Dory 1.0 4BNVIDIA · 4.0B 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. 43.8 tok/s Runs great 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. 3.0 tok/s Slow
Gemma 4 E4BGoogle · 8.0B 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 38.8 tok/s Runs welltight fit 65Good quality (B) · 65 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
Spark-X2.6 4BSparkLLM · 4.1B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 42.4 tok/s Runs great 64Good quality (B) · 64 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
Gemma 4 E2BGoogle · 5.1B 60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 62.6 tok/s Runs great 43Fair quality (C) · 43 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 12.5 tok/s Runs well
Qwen3.5 4BAlibaba · 4.7B 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. 37.4 tok/s Runs great 60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
TMax 4BAi2 · 4.2B 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 41.4 tok/s Runs great 59Good quality (B) · 59 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. 3.4 tok/s Slow
Agents-A1 4BInternScience · 4.5B 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. 38.4 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 69/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
Ling 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI) · 7.9B (1.3B active) 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 92.4 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 75/100 (quality, fit, speed and memory use) sets the ranking. 12.9 tok/s Runs well
Ornith 1.5 9BDeepReinforce · 9.7B 64Good quality (B) · 64 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. 23.4 tok/s Runs welltight fit 76Great quality (A) · 76 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. 1.3 tok/s Very slow
Fara 1.5 4BMicrosoft · 4.5B 55Good quality (B) · 55 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 38.4 tok/s Runs great 56Good quality (B) · 56 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. 3.2 tok/s Slow
MiniCPM5 2BOpenBMB · 2.5B 59Good quality (B) · 59 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. 48.0 tok/s Runs great 42Fair quality (C) · 42 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. 11.4 tok/s Runs well
Qwen3.5 9BAlibaba · 9.7B 63Good quality (B) · 63 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. 23.4 tok/s Runs welltight fit 75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 1.3 tok/s Very slow
TMax 9BAi2 · 9.0B 62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 25.2 tok/s Runs welltight fit 51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
Ornith 1.0 9BDeepReinforce · 9.7B 63Good quality (B) · 63 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 23.4 tok/s Runs welltight fit 74Great quality (A) · 74 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. 1.3 tok/s Very slow
Mage-VL 4.7BMicrosoft · 4.7B 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 36.8 tok/s Runs great 54Fair quality (C) · 54 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 3.0 tok/s Slow
Qwen3 4B Instruct 2507Alibaba · 4.0B 51Fair quality (C) · 51 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 43.4 tok/s Runs great 53Fair quality (C) · 53 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. 3.0 tok/s Slow
Qwen3-VL 4B InstructAlibaba · 4.4B 51Fair quality (C) · 51 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 39.3 tok/s Runs great 52Fair quality (C) · 52 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. 3.3 tok/s Slow
K2 Horizon 7BInstitute of Foundation Models · 9.0B 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 31.8 tok/s Runs welltight fit 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
Granite 4.2 3BIBM · 3.7B 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. 39.4 tok/s Runs great 51Fair quality (C) · 51 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. 3.3 tok/s Slow
SenseNova Loop 9B PreviewSenseTime · 9.7B 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 29.7 tok/s Runs welltight fit 77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 1.3 tok/s Very slow
Qwen3 4BAlibaba · 4.0B 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 43.4 tok/s Runs great 49Fair quality (C) · 49 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. 3.0 tok/s Slow
LFM3 1.7BLiquid AI · 1.7B 56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 51.3 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 66/100 (quality, fit, speed and memory use) sets the ranking. 10.1 tok/s Runs well
MiMo V2.6 Distill Qwen 9BXiaomi · 9.4B 65Good quality (B) · 65 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. 24.0 tok/s Runs welltight fit 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Granite 4.1 3BIBM · 3.4B 44Fair quality (C) · 44 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 42.4 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. 5.1 tok/s Slow
Mage-VL-Cowork 4.7BMicrosoft · 4.7B 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. 36.8 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 65/100 (quality, fit, speed and memory use) sets the ranking. 3.0 tok/s Slow
Nemotron 3 Nano 4BNVIDIA · 4.0B 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 43.9 tok/s Runs great 49Fair quality (C) · 49 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. 3.1 tok/s Slow
North Micro VisionCohere · 2.5B 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. 48.8 tok/s Runs great 30Basic quality (D) · 30 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. 11.6 tok/s Runs well
LFM3-VL 2BLiquid AI · 1.9B 50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 46.2 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 61/100 (quality, fit, speed and memory use) sets the ranking. 11.8 tok/s Runs well
Granite 4.2 8BIBM · 8.8B 47Fair quality (C) · 47 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. 32.6 tok/s Runs welltight fit 47Fair quality (C) · 47 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. 3.3 tok/s Slow
Qwen3 4B Thinking 2507Alibaba · 4.0B 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 43.4 tok/s Runs great 55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 3.0 tok/s Slow
Ministral 3 3BMistral AI · 3.9B 41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 45.3 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. 4.5 tok/s Slow
Phi-4 Mini (3.8B)Microsoft · 3.8B 41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 45.4 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 62/100 (quality, fit, speed and memory use) sets the ranking. 4.6 tok/s Slow
Gemma 3 4B ITGoogle · 4.3B 42Fair quality (C) · 42 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 40.6 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 61/100 (quality, fit, speed and memory use) sets the ranking. 4.1 tok/s Slow
Gemma 3n E4BGoogle · 7.9B 43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 43.6 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 65/100 (quality, fit, speed and memory use) sets the ranking. 4.4 tok/s Slow
LFM2.5 8B-A1BLiquid AI · 8.5B (1.5B 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. 101 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 71/100 (quality, fit, speed and memory use) sets the ranking. 11.2 tok/s Runs well
Nemotron Nano 9B v2NVIDIA · 8.9B 50Fair quality (C) · 50 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. 25.4 tok/s Runs welltight fit 42Fair quality (C) · 42 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. 3.2 tok/s Slow
SmolLM3 3BHugging Face · 3.1B 41Fair quality (C) · 41 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 39.3 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 60/100 (quality, fit, speed and memory use) sets the ranking. 5.7 tok/s Slow
Llama 3.1 Nemotron Nano 4B v1.1NVIDIA · 4.5B 41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 38.7 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 62/100 (quality, fit, speed and memory use) sets the ranking. 3.9 tok/s Slow
MedGemma 4B ITGoogle · 4.3B 41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 40.6 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. 4.1 tok/s Slow
Granite 4.0 H Tiny (7B-A1B)IBM · 6.9B (1.0B active) 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. 95.8 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 68/100 (quality, fit, speed and memory use) sets the ranking. 16.5 tok/s Runs well
LFM2.5-VL 3BLiquid AI · 3.1B 43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 38.8 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. 5.6 tok/s Slow
Hunyuan 4B InstructTencent · 4.2B 39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 41.3 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 62/100 (quality, fit, speed and memory use) sets the ranking. 4.1 tok/s Slow
MiMo 7B RLXiaomi · 7.8B 47Fair quality (C) · 47 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. 28.8 tok/s Runs welltight fit 39Basic quality (D) · 39 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. 3.7 tok/s Slow
InternVL3 8BShanghai AI Lab · 7.9B 47Fair quality (C) · 47 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. 28.4 tok/s Runs welltight fit 39Basic quality (D) · 39 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. 3.6 tok/s Slow
Granite 4.0 Micro (3B)IBM · 3.4B 38Basic quality (D) · 38 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 42.4 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 60/100 (quality, fit, speed and memory use) sets the ranking. 5.1 tok/s Slow
InternVL3.5 8BShanghai AI Lab · 8.5B 43Fair quality (C) · 43 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. 33.6 tok/s Runs welltight fit 43Fair quality (C) · 43 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
LFM2.5 2.6BLiquid AI · 2.7B 43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 44.8 tok/s Runs great 30Basic quality (D) · 30 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. 10.6 tok/s Runs well
Qwen3-VL 8B InstructAlibaba · 8.8B 43Fair quality (C) · 43 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. 32.7 tok/s Runs welltight fit 43Fair quality (C) · 43 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
UI-Mate 9BTencent · 9.4B 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 24.0 tok/s Runs welltight fit 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
UI-Venus 2 9BAnt Group (inclusionAI) · 9.4B 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 24.0 tok/s Runs welltight fit 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Llama 3.1 Nemotron Nano 8B v1NVIDIA · 8.0B 45Fair quality (C) · 45 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 28.1 tok/s Runs welltight fit 37Basic quality (D) · 37 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. 3.6 tok/s Slow
Qwen3 8BAlibaba · 8.2B 42Fair quality (C) · 42 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. 35.0 tok/s Runs welltight fit 42Fair quality (C) · 42 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. 3.5 tok/s Slow
MiniCPM4 8BOpenBMB · 8.2B 45Fair quality (C) · 45 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 27.5 tok/s Runs welltight fit 37Basic quality (D) · 37 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
Falcon-H1 7B InstructTII · 7.6B 42Fair quality (C) · 42 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. 29.7 tok/s Runs well 35Basic quality (D) · 35 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. 3.8 tok/s Slow
Jamba2 3BAI21 Labs · 3.0B 41Fair quality (C) · 41 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. 39.9 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 59/100 (quality, fit, speed and memory use) sets the ranking. 5.8 tok/s Slow
AFM 4.5BArcee AI · 4.6B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 37.8 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 60/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slow
Hunyuan 7B InstructTencent · 7.5B 43Fair quality (C) · 43 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. 30.1 tok/s Runs welltight fit 43Fair quality (C) · 43 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. 3.0 tok/s Slow
Phi-4 Multimodal InstructMicrosoft · 5.6B 36Basic quality (D) · 36 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 40.5 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. 3.1 tok/s Slow
Qwen2.5 7B InstructAlibaba · 7.6B 43Fair quality (C) · 43 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. 29.6 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 59/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slow
GLiDE 9BFastino · 7.9B 42Fair quality (C) · 42 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. 28.4 tok/s Runs well 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
MiniCPM-V 4.5 8BOpenBMB · 8.7B 42Fair quality (C) · 42 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. 32.9 tok/s Runs welltight fit 42Fair quality (C) · 42 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
Granite 4.1 8BIBM · 8.8B 42Fair quality (C) · 42 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. 32.6 tok/s Runs welltight fit 42Fair quality (C) · 42 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
Jamba Reasoning 3BAI21 Labs · 3.2B 42Fair quality (C) · 42 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. 45.0 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. 5.5 tok/s Slow
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 76/100 (quality, fit, speed and memory use) sets the ranking. 41.7 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 57/100 (quality, fit, speed and memory use) sets the ranking. 10.6 tok/s Runs well
MiMo-VL 7B RLXiaomi · 8.3B 40Fair quality (C) · 40 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. 34.5 tok/s Runs welltight fit 40Fair quality (C) · 40 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
Olmo 3 7B InstructAi2 · 7.3B 42Fair quality (C) · 42 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. 30.9 tok/s Runs welltight fit 42Fair quality (C) · 42 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
Mellum2.1 Thinking (12B-A2.5B)JetBrains · 12B (2.5B 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. 84.4 tok/s Runs welltight fit 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 11.1 tok/s Runs well
Qwen2.5-VL 7B InstructAlibaba · 8.3B 43Fair quality (C) · 43 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. 27.2 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 60/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
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 75/100 (quality, fit, speed and memory use) sets the ranking. 39.1 tok/s Runs great 28Basic quality (D) · 28 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
Qwen2.5 7B Instruct 1MAlibaba · 7.6B 42Fair quality (C) · 42 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. 29.6 tok/s Runs welltight fit 35Basic quality (D) · 35 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. 3.8 tok/s Slow
Qianfan-OCR 4BBaidu · 4.7B 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 36.8 tok/s Runs great 48Fair quality (C) · 48 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. 3.0 tok/s Slow
MiniCPM-o 2.6 8BOpenBMB · 8.7B 43Fair quality (C) · 43 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. 26.0 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 60/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
Gemma 3n E2BGoogle · 5.4B 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. 72.0 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 59/100 (quality, fit, speed and memory use) sets the ranking. 11.3 tok/s Runs well
Foundation-Sec 1.1 8B InstructCisco Foundation AI · 8.0B 42Fair quality (C) · 42 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. 28.1 tok/s Runs welltight fit 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
InternVL2.5 8BShanghai AI Lab · 8.1B 42Fair quality (C) · 42 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. 27.9 tok/s Runs welltight fit 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
GLM-4.1V 9B ThinkingZhipu AI · 10B 42Fair quality (C) · 42 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. 27.8 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 74/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slow
Phi-3 Mini 4K InstructMicrosoft · 3.8B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 45.7 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 60/100 (quality, fit, speed and memory use) sets the ranking. 4.6 tok/s Slow
MiniCPM3 4BOpenBMB · 4.1B 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 42.9 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 58/100 (quality, fit, speed and memory use) sets the ranking. 4.3 tok/s Slow
S5 nanoMaritaca AI · 4.7B 35Basic quality (D) · 35 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 37.4 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 58/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slow
Llama 3.2 3B InstructMeta · 3.2B 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. 44.9 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. 5.4 tok/s Slow
GLM-4 9B 0414Zhipu AI · 9.4B 43Fair quality (C) · 43 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. 24.0 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 60/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
NorthCUA Nanobeipo-ai · 9.4B 43Fair quality (C) · 43 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. 24.0 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 60/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
LightOnOCR-3 4BLightOn · 4.5B 45Fair quality (C) · 45 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 38.4 tok/s Runs great 46Fair quality (C) · 46 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
Falcon-H1 3B InstructTII · 3.2B 35Basic quality (D) · 35 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. 38.4 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. 5.6 tok/s Slow
Ministral 3 8BMistral AI · 8.9B 39Basic quality (D) · 39 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. 32.1 tok/s Runs welltight fit 39Basic quality (D) · 39 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. 3.2 tok/s Slow
Gemma 4 26B-A4BGoogle · 26B (3.8B active) 87Excellent quality (A+) · 87 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. 23.6 tok/s Slowheavy RAM offload 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 7.4 tok/s Slowtight fit
InternLM3 8B InstructShanghai AI Lab · 8.8B 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 25.6 tok/s Runs welltight fit 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
Voxtral Mini 3BMistral AI · 4.7B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 37.3 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 59/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow
Unlimited OCR 2 (3B-A0.6B)Baidu · 3.3B (0.6B active) 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. 94.7 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 63/100 (quality, fit, speed and memory use) sets the ranking. 26.5 tok/s Runs well
Hermes 3 (Llama 3.1 8B)Nous Research · 8.0B 40Fair quality (C) · 40 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. 28.1 tok/s Runs welltight fit 33Basic quality (D) · 33 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
Llama 3.1 8B InstructMeta · 8.0B 40Fair quality (C) · 40 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. 28.1 tok/s Runs welltight fit 33Basic quality (D) · 33 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
Phi-4 Mini Reasoning (3.8B)Microsoft · 3.8B 43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 45.4 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 58/100 (quality, fit, speed and memory use) sets the ranking. 4.6 tok/s Slow
MiniCPM-V 2.6 8BOpenBMB · 8.1B 40Fair quality (C) · 40 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. 27.8 tok/s Runs welltight fit 33Basic quality (D) · 33 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
TMax 2BAi2 · 1.9B 40Fair quality (C) · 40 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. 47.2 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 57/100 (quality, fit, speed and memory use) sets the ranking. 12.0 tok/s Runs well
Falcon 3 7B InstructTII · 7.5B 38Basic quality (D) · 38 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. 30.2 tok/s Runs welltight fit 38Basic quality (D) · 38 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. 3.0 tok/s Slow
Qwen2.5-VL 3B InstructAlibaba · 3.8B 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. 38.4 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. 4.7 tok/s Slow
LFM2 8B-A1BLiquid AI · 8.3B (1.5B active) 31Basic quality (D) · 31 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. 101 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 65/100 (quality, fit, speed and memory use) sets the ranking. 11.2 tok/s Runs well
Qwen2.5 3B InstructAlibaba · 3.1B 33Basic quality (D) · 33 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. 39.2 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. 5.7 tok/s Slow
Falcon-H1R 7BTII · 7.6B 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 23.0 tok/s Runs welltight fit 39Basic quality (D) · 39 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. 3.8 tok/s Slow
Chandra OCR 2Datalab · 5.3B 45Fair quality (C) · 45 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 32.9 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 58/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
EXAONE 3.5 7.8BLG AI Research · 7.8B 38Basic quality (D) · 38 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. 28.8 tok/s Runs welltight fit 32Basic quality (D) · 32 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. 3.7 tok/s Slow
Phi-3.5 Mini InstructMicrosoft · 3.8B 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. 59.0 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 64/100 (quality, fit, speed and memory use) sets the ranking. 4.6 tok/s Slow
Granite 4.0 H MicroIBM · 3.2B 36Basic quality (D) · 36 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. 45.2 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. 5.5 tok/s Slow
Hermes 3 Llama 3.2 3BNous Research · 3.2B 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. 44.9 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. 5.4 tok/s Slow
DeepHermes 3 Llama 3 8B PreviewNous Research · 8.0B 38Basic quality (D) · 38 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. 28.1 tok/s Runs welltight fit 32Basic quality (D) · 32 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
Dolphin 3.0 Llama 3.1 8BCognitive Computations · 8.0B 38Basic quality (D) · 38 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. 28.1 tok/s Runs welltight fit 32Basic quality (D) · 32 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
Tülu 3 8BAi2 · 8.0B 38Basic quality (D) · 38 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. 28.1 tok/s Runs welltight fit 32Basic quality (D) · 32 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
GLM-4 9B Chat (2024)Zhipu AI · 9.4B 40Fair quality (C) · 40 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. 24.0 tok/s Runs welltight fit 33Basic quality (D) · 33 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. 3.1 tok/s Slow
Phi-3 Small 8K InstructMicrosoft · 7.4B 36Basic quality (D) · 36 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. 30.5 tok/s Runs welltight fit 36Basic quality (D) · 36 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. 3.1 tok/s Slow
Qwen3.6 35B-A3BAlibaba · 36B (3.0B active) 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. 36.5 tok/s Slowheavy RAM offload 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
MiniCPM-V 4.7 35B-A3BOpenBMB · 35B (3.0B active) 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. 36.6 tok/s Slowheavy RAM offload 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
Qwen2 7B InstructAlibaba · 7.6B 36Basic quality (D) · 36 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. 29.6 tok/s Runs welltight fit 30Basic quality (D) · 30 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. 3.8 tok/s Slow
Qwen3 1.7BAlibaba · 2.0B 30Basic quality (D) · 30 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. 43.7 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 55/100 (quality, fit, speed and memory use) sets the ranking. 11.1 tok/s Runs well
WeVisOne-VL 4BTencent · 4.8B 42Fair quality (C) · 42 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 36.1 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 58/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
Qwen3.5 35B-A3BAlibaba · 36B (3.0B active) 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. 36.5 tok/s Slowheavy RAM offload 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
Command R7BCohere · 8.0B 36Basic quality (D) · 36 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. 28.1 tok/s Runs welltight fit 30Basic quality (D) · 30 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. 3.6 tok/s Slow
Dolphin 2.9.4 Llama 3.1 8BCognitive Computations · 8.0B 36Basic quality (D) · 36 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. 28.1 tok/s Runs welltight fit 30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
Hermes 2 Pro Llama 3 8BNous Research · 8.0B 36Basic quality (D) · 36 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. 28.1 tok/s Runs welltight fit 30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
OpenChat 3.6 8BOpenChat · 8.0B 36Basic quality (D) · 36 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. 28.1 tok/s Runs welltight fit 30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
MiniCPM-V 4.7 1BOpenBMB · 1.6B 40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 57.3 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 59/100 (quality, fit, speed and memory use) sets the ranking. 11.3 tok/s Runs well
InternVL2 8BShanghai AI Lab · 8.1B 36Basic quality (D) · 36 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. 27.9 tok/s Runs welltight fit 30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
Nex N2 Mini (35B-A3B)Nex-AGI · 35B (3.0B active) 77Great quality (A) · 77 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. 36.7 tok/s Slowheavy RAM offload 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
Falcon 3 3B InstructTII · 3.2B 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. 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 55/100 (quality, fit, speed and memory use) sets the ranking. 5.4 tok/s Slow
Qwen2-VL 7B InstructAlibaba · 8.3B 36Basic quality (D) · 36 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. 27.2 tok/s Runs welltight fit 30Basic quality (D) · 30 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
Unlimited OCR (3B-A0.6B)Baidu · 3.3B (0.6B active) 40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 94.7 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 61/100 (quality, fit, speed and memory use) sets the ranking. 26.5 tok/s Runs well
EXAONE Deep 7.8BLG AI Research · 7.8B 47Fair quality (C) · 47 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. 28.8 tok/s Runs welltight fit 39Basic quality (D) · 39 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. 3.7 tok/s Slow
Aya Vision 8BCohere · 8.6B 36Basic quality (D) · 36 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. 26.1 tok/s Runs welltight fit 30Basic quality (D) · 30 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. 3.3 tok/s Slow
Sage-A1.5 35B-A3BInternScience · 36B (3.0B active) 76Great quality (A) · 76 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. 36.5 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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen2.5 Coder 7B InstructAlibaba · 7.6B 46Fair quality (C) · 46 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. 29.6 tok/s Runs welltight fit 38Basic quality (D) · 38 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. 3.8 tok/s Slow
Ministral 8B (2410)Mistral AI · 8.0B 32Basic quality (D) · 32 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. 35.7 tok/s Runs welltight fit 32Basic quality (D) · 32 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
Phi-3 Mini 128K InstructMicrosoft · 3.8B 30Basic quality (D) · 30 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. 59.0 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 62/100 (quality, fit, speed and memory use) sets the ranking. 4.6 tok/s Slow
Olmo 3 7B ThinkAi2 · 7.3B 45Fair quality (C) · 45 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 30.9 tok/s Runs welltight fit 45Fair quality (C) · 45 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. 3.1 tok/s Slow
Falcon3 Mamba 7B InstructTII · 7.3B 31Basic quality (D) · 31 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. 31.0 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 57/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
DeepSeek R1 0528 Qwen3 8BDeepSeek · 8.2B 43Fair quality (C) · 43 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. 35.0 tok/s Runs welltight fit 43Fair quality (C) · 43 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. 3.5 tok/s Slow
GLM-Z1 9B (0414)Zhipu AI · 9.4B 48Fair quality (C) · 48 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 24.0 tok/s Runs welltight fit 40Fair quality (C) · 40 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. 3.1 tok/s Slow
Granite 3.2 8B InstructIBM · 8.2B 32Basic quality (D) · 32 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. 35.1 tok/s Runs welltight fit 32Basic quality (D) · 32 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. 3.5 tok/s Slow
Granite 3.3 8BIBM · 8.2B 32Basic quality (D) · 32 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. 35.1 tok/s Runs welltight fit 32Basic quality (D) · 32 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. 3.5 tok/s Slow
Raon-1 mini Preview (30B-A4B)KRAFTON · 29B (4.3B active) 83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 20.9 tok/s Slowheavy RAM offload 61Good quality (B) · 61 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. 6.5 tok/s Slowtight fit
Command R7B ArabicCohere · 8.0B 35Basic quality (D) · 35 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. 28.1 tok/s Runs welltight fit 29Basic quality (D) · 29 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. 3.6 tok/s Slow
Llama 3 8B InstructMeta · 8.0B 35Basic quality (D) · 35 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. 28.1 tok/s Runs welltight fit 29Basic quality (D) · 29 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. 3.6 tok/s Slow
Granite 3.2 2B InstructIBM · 2.5B 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. 47.8 tok/s Runs great 21Basic quality (D) · 21 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. 11.4 tok/s Runs well
Granite 3.3 2BIBM · 2.5B 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. 47.8 tok/s Runs great 21Basic quality (D) · 21 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. 11.4 tok/s Runs well
Ornith 1.5 35B-A3BDeepReinforce · 36B (3.0B active) 75Great quality (A) · 75 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. 36.5 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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
OpenReasoning Nemotron 7BNVIDIA · 7.6B 45Fair quality (C) · 45 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 29.6 tok/s Runs welltight fit 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. 3.8 tok/s Slow
LFM2 2.6BLiquid AI · 2.6B 33Basic quality (D) · 33 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. 47.1 tok/s Runs great 23Basic quality (D) · 23 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. 11.2 tok/s Runs well
GLM-4 9B Chat 1MZhipu AI · 9.5B 33Basic quality (D) · 33 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. 30.2 tok/s Runs welltight fit 33Basic quality (D) · 33 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. 3.0 tok/s Slow
InternLM2.5 7B ChatShanghai AI Lab · 7.7B 28Basic quality (D) · 28 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 37.0 tok/s Runs great 28Basic quality (D) · 28 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. 3.7 tok/s Slow
Apodex 1.1 Mini (35B-A3B)Apodex · 36B (3.0B active) 74Great quality (A) · 74 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. 36.5 tok/s Slowheavy RAM offload 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
Ornith 1.0 35B-A3BDeepReinforce · 36B (3.0B active) 74Great quality (A) · 74 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. 36.5 tok/s Slowheavy RAM offload 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
Apertus v1.5 8BSwiss AI · 8.9B 32Basic quality (D) · 32 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. 32.2 tok/s Runs welltight fit 32Basic quality (D) · 32 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. 3.2 tok/s Slow
Granite 3.1 8B InstructIBM · 8.2B 30Basic quality (D) · 30 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. 35.1 tok/s Runs welltight fit 30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slow
Mistral 7B Instruct v0.3Mistral AI · 7.3B 26Basic quality (D) · 26 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 39.5 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 59/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
EXAONE 3.5 2.4BLG AI Research · 2.4B 29Basic quality (D) · 29 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 50.2 tok/s Runs great 21Basic quality (D) · 21 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 well
WeVisOne VL 2BTencent · 2.4B 26Basic quality (D) · 26 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 49.6 tok/s Runs great 18Basic quality (D) · 18 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. 11.8 tok/s Runs well
Zamba2 7B InstructZyphra · 7.4B 26Basic quality (D) · 26 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 38.9 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 58/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
GLM-4.7 Flash (30B-A3B)Zhipu AI · 31B (3.0B active) 73Great quality (A) · 73 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. 37.0 tok/s Slowheavy RAM offload 61Good quality (B) · 61 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. 7.9 tok/s Slowover memory limit
Aya Expanse 8BCohere · 8.0B 33Basic quality (D) · 33 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. 28.1 tok/s Runs welltight fit 28Basic quality (D) · 28 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. 3.6 tok/s Slow
Apertus 8B InstructSwiss AI · 8.1B 33Basic quality (D) · 33 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. 28.0 tok/s Runs welltight fit 28Basic quality (D) · 28 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. 3.6 tok/s Slow
Granite 3.0 8B InstructIBM · 8.2B 28Basic quality (D) · 28 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 35.1 tok/s Runs great 28Basic quality (D) · 28 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
Granite Vision 3.2 2BIBM · 3.0B 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. 40.6 tok/s Runs great 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 5.9 tok/s Slow
Granite 3.1 2B InstructIBM · 2.5B 27Basic quality (D) · 27 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. 47.8 tok/s Runs great 19Basic quality (D) · 19 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. 11.4 tok/s Runs well
Qwen2.5-Omni 3BAlibaba · 5.5B 25Basic quality (D) · 25 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 71/100 (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 Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
EXAONE 3.0 7.8B InstructLG AI Research · 7.8B 26Basic quality (D) · 26 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 36.6 tok/s Runs great 26Basic quality (D) · 26 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. 3.7 tok/s Slow
Qwen AgentWorld 35B-A3BAlibaba · 35B (3.0B active) 73Great quality (A) · 73 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. 36.7 tok/s Slowheavy RAM offload 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
Hermes 2 Pro Mistral 7BNous Research · 7.2B 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 58/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Starling LM 7B BetaNexusflow · 7.2B 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 58/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Seed-Coder 8B ReasoningByteDance · 8.3B 40Fair quality (C) · 40 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. 34.7 tok/s Runs welltight fit 40Fair quality (C) · 40 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
Agents-A1 35B-A3BInternScience · 35B (3.0B active) 73Great quality (A) · 73 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. 36.7 tok/s Slowheavy RAM offload 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
Foundation-Sec 8B ReasoningCisco Foundation AI · 8.0B 43Fair quality (C) · 43 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. 28.1 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. 3.6 tok/s Slow
Gemma 2 2BGoogle · 2.6B 27Basic quality (D) · 27 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. 46.4 tok/s Runs great 19Basic quality (D) · 19 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. 11.0 tok/s Runs well
Mistral-NeMo-Minitron 8B InstructNVIDIA · 8.4B 29Basic quality (D) · 29 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. 34.1 tok/s Runs welltight fit 29Basic quality (D) · 29 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
Phi-3.5 Vision InstructMicrosoft · 4.2B 26Basic quality (D) · 26 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. 69.0 tok/s Runs welltight fit 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. 4.2 tok/s Slow
OpenChat 3.5 (0106)OpenChat · 7.2B 24Basic quality (D) · 24 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 58/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Dolphin 2.9 Llama 3 8BCognitive Computations · 8.0B 31Basic quality (D) · 31 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. 28.1 tok/s Runs welltight fit 26Basic quality (D) · 26 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. 3.6 tok/s Slow
TeleOCRXingChen-AGI · 1.4B 40Fair quality (C) · 40 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. 62.5 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 56/100 (quality, fit, speed and memory use) sets the ranking. 12.3 tok/s Runs well
Qwen2.5-Omni 7BAlibaba · 11B 32Basic quality (D) · 32 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. 26.7 tok/s Runs welltight fit 45Fair quality (C) · 45 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 1.1 tok/s Very slow
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 70/100 (quality, fit, speed and memory use) sets the ranking. 39.5 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 54/100 (quality, fit, speed and memory use) sets the ranking. 10.1 tok/s Runs well
Mistral 7B Instruct v0.2Mistral AI · 7.2B 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 57/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Nous Hermes 2 Mistral 7B DPONous Research · 7.2B 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 57/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
OpenChat 3.5 (1210)OpenChat · 7.2B 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 57/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Seed-Coder 8B InstructByteDance · 8.3B 39Basic quality (D) · 39 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. 34.7 tok/s Runs welltight fit 39Basic quality (D) · 39 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
Gemma 4 12BGoogle · 12B 69Good quality (B) · 69 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. 14.8 tok/s Runs welloffloads to RAM 80Great quality (A) · 80 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. 1.2 tok/s Very slow
DeepSeek R1 Distill Llama 8BDeepSeek · 8.0B 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 28.1 tok/s Runs welltight fit 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
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 70/100 (quality, fit, speed and memory use) sets the ranking. 42.6 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 57/100 (quality, fit, speed and memory use) sets the ranking. 18.2 tok/s Runs well
Fara 7BMicrosoft · 8.3B 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 27.2 tok/s Runs welltight fit 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. 3.5 tok/s Slow
Qwen2.5 Coder 3B InstructAlibaba · 3.1B 35Basic quality (D) · 35 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 39.2 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 52/100 (quality, fit, speed and memory use) sets the ranking. 5.7 tok/s Slow
OLMo 2 7B InstructAi2 · 7.3B 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 39.2 tok/s Runs welltight fit 30Basic quality (D) · 30 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
OLMoE 1B-7B InstructAi2 · 6.9B (1.3B active) 24Basic quality (D) · 24 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. 92.4 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 60/100 (quality, fit, speed and memory use) sets the ranking. 12.9 tok/s Runs well
Yi 1.5 6B Chat01.AI · 6.1B 23Basic quality (D) · 23 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 37.2 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 53/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow
Nemotron Cascade 2 30B-A3BNVIDIA · 32B (3.5B active) 76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 24.9 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 61/100 (quality, fit, speed and memory use) sets the ranking. 6.8 tok/s Slowover memory limit
OpenHermes 2.5 Mistral 7BTeknium · 7.2B 22Basic quality (D) · 22 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 56/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Starling LM 7B AlphaBerkeley · 7.2B 22Basic quality (D) · 22 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 56/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Yi 1.5 9B Chat01.AI · 8.8B 25Basic quality (D) · 25 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. 32.4 tok/s Runs great 25Basic quality (D) · 25 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. 3.3 tok/s Slow
MiniCPM5 1BOpenBMB · 1.1B 36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 82.2 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 59/100 (quality, fit, speed and memory use) sets the ranking. 16.2 tok/s Runs well
LFM2.5 24B-A2BLiquid AI · 24B (2.5B active) 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 35.8 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 76/100 (quality, fit, speed and memory use) sets the ranking. 11.3 tok/s Runs well
SmolVLM 2.2B InstructHugging Face · 2.3B 21Basic quality (D) · 21 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. 53.8 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 53/100 (quality, fit, speed and memory use) sets the ranking. 10.1 tok/s Runs well
Phi-3 Vision 128K InstructMicrosoft · 4.2B 23Basic quality (D) · 23 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. 69.0 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 62/100 (quality, fit, speed and memory use) sets the ranking. 4.2 tok/s Slow
Granite 3.0 2B InstructIBM · 2.6B 25Basic quality (D) · 25 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 46.0 tok/s Runs great 18Basic quality (D) · 18 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 10.9 tok/s Runs well
Falcon Mamba 7B InstructTII · 7.3B 25Basic quality (D) · 25 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. 31.0 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 54/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Aya 23 8BCohere · 8.0B 28Basic quality (D) · 28 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. 28.1 tok/s Runs welltight fit 23Basic quality (D) · 23 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. 3.6 tok/s Slow
Nemotron Mini 4B InstructNVIDIA · 4.2B 20Basic quality (D) · 20 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. 41.6 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 52/100 (quality, fit, speed and memory use) sets the ranking. 4.2 tok/s Slow
Mistral 7B Instruct v0.1Mistral AI · 7.2B 21Basic quality (D) · 21 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 56/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
DeepSeek R1 Distill Qwen 7BDeepSeek · 7.6B 38Basic quality (D) · 38 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. 29.6 tok/s Runs welltight fit 32Basic quality (D) · 32 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. 3.8 tok/s Slow
Qwen3.8 27BAlibaba · 28B 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 76/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slowtight fit
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 69/100 (quality, fit, speed and memory use) sets the ranking. 40.2 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 51/100 (quality, fit, speed and memory use) sets the ranking. 10.2 tok/s Runs well
EXAONE 4.0 1.2BLG AI Research · 1.3B 30Basic quality (D) · 30 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. 69.4 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 56/100 (quality, fit, speed and memory use) sets the ranking. 13.7 tok/s Runs well
Granite 3.1 3B-A800M InstructIBM · 3.3B (0.8B active) 20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 78.0 tok/s Runs great 14Basic quality (D) · 14 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. 32.3 tok/s Runs great
SmolLM2 1.7B InstructHugging Face · 1.7B 20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 51.9 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 53/100 (quality, fit, speed and memory use) sets the ranking. 13.2 tok/s Runs well
Nous Hermes 2 SOLAR 10.7BNous Research · 11B 28Basic quality (D) · 28 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. 26.7 tok/s Runs welltight fit 39Basic quality (D) · 39 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 1.1 tok/s Very slow
SOLAR 10.7B InstructUpstage · 11B 28Basic quality (D) · 28 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. 26.7 tok/s Runs welltight fit 39Basic quality (D) · 39 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 1.1 tok/s Very slow
Nemotron 3 Nano 30B-A3BNVIDIA · 32B (3.5B active) 73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 24.9 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 60/100 (quality, fit, speed and memory use) sets the ranking. 6.8 tok/s Slowover memory limit
Neural Chat 7B v3.3Intel · 7.2B 19Basic quality (D) · 19 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 55/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
RecurrentGemma 9B ITGoogle · 9.6B 23Basic quality (D) · 23 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. 29.7 tok/s Runs well 33Basic quality (D) · 33 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 1.3 tok/s Very slow
DiffusionGemma 26B-A4B ITGoogle · 26B (4.0B active) 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 22.5 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 74/100 (quality, fit, speed and memory use) sets the ranking. 7.0 tok/s Slowtight fit
Qwen3.6 27BAlibaba · 28B 89Excellent quality (A+) · 89 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 65Good quality (B) · 65 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. 1.0 tok/s Very slowtight fit
LLaVA 1.6 Mistral 7BLLaVA · 7.6B 19Basic quality (D) · 19 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 37.8 tok/s Runs great 19Basic quality (D) · 19 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. 3.8 tok/s Slow
Qwen3.5 27BAlibaba · 28B 88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slowheavy RAM offload 65Good quality (B) · 65 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. 1.0 tok/s Very slowtight fit
Zephyr 7B BetaHugging Face · 7.2B 18Basic quality (D) · 18 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 54/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Zamba2 2.7B InstructZyphra · 2.7B 21Basic quality (D) · 21 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. 45.5 tok/s Runs great 15Basic quality (D) · 15 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 10.8 tok/s Runs well
Granite 3.0 3B-A800M InstructIBM · 3.4B (0.8B active) 18Basic quality (D) · 18 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. 78.0 tok/s Runs great 12Basic quality (D) · 12 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. 32.3 tok/s Runs great
gpt-oss 20BOpenAI · 21B (3.6B active) 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 28.1 tok/s Slowheavy RAM offload 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 4.3 tok/s Slowover memory limit
MiniCPM-OCR 1.0 1.3BOpenBMB · 1.3B 42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 68.3 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 56/100 (quality, fit, speed and memory use) sets the ranking. 13.5 tok/s Runs well
LFM2.5 1.2B InstructLiquid AI · 1.2B 32Basic quality (D) · 32 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 75.9 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 57/100 (quality, fit, speed and memory use) sets the ranking. 15.0 tok/s Runs well
CodeGeeX4 All 9BZhipu AI · 9.4B 38Basic quality (D) · 38 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. 24.0 tok/s Runs welltight fit 32Basic quality (D) · 32 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. 3.1 tok/s Slow
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 67/100 (quality, fit, speed and memory use) sets the ranking. 34.8 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. 9.8 tok/s Slowover memory limit
KAT-Coder V2.5 Dev (35B-A3B)Kuaishou · 35B (3.0B active) 76Great quality (A) · 76 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 36.7 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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Hunyuan 1.8B InstructTencent · 1.8B 22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 49.6 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 52/100 (quality, fit, speed and memory use) sets the ranking. 12.6 tok/s Runs well
Muse Glimmer 30BMeta · 30B 87Excellent quality (A+) · 87 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. 3.2 tok/s Slowheavy RAM offload 64Good quality (B) · 64 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. 0.8 tok/s Very slowover memory limit
Nemotron 3.5 Lightning 30B-A3BNVIDIA · 32B (3.0B active) 68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 28.6 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 59/100 (quality, fit, speed and memory use) sets the ranking. 7.9 tok/s Slowover memory limit
InternLM2.5 1.8B ChatShanghai AI Lab · 1.9B 18Basic quality (D) · 18 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 47.0 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 50/100 (quality, fit, speed and memory use) sets the ranking. 12.0 tok/s Runs well
Flint (40B-A2.5B)Recursive · 40B (2.5B active) 63Good quality (B) · 63 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. 53.5 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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Granite 4.0 H 1BIBM · 1.5B 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. 60.8 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 54/100 (quality, fit, speed and memory use) sets the ranking. 12.0 tok/s Runs well
Falcon-H1 1.5B InstructTII · 1.6B 26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 57.3 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. 11.3 tok/s Runs well
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 67/100 (quality, fit, speed and memory use) sets the ranking. 47.0 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. 26.0 tok/s Runs well
StableLM Zephyr 3BStability AI · 2.8B 15Basic quality (D) · 15 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 43.2 tok/s Runs great 11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 10.3 tok/s Runs well
Yi 6B Chat01.AI · 6.1B 16Basic quality (D) · 16 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 37.2 tok/s Runs great 16Basic quality (D) · 16 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow
Phi-2 2.7BMicrosoft · 2.8B 15Basic quality (D) · 15 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 43.5 tok/s Runs great 11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. 10.3 tok/s Runs well
TMax 27BAi2 · 27B 85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 3.5 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 74/100 (quality, fit, speed and memory use) sets the ranking. 1.1 tok/s Very slowtight fit
Qwen3 30B-A3B Instruct 2507Alibaba · 31B (3.3B active) 64Good quality (B) · 64 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. 33.7 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 60/100 (quality, fit, speed and memory use) sets the ranking. 7.2 tok/s Slowover memory limit
Codestral Mamba 7BMistral AI · 7.3B 30Basic quality (D) · 30 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 30.9 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 51/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Qwen2.5-Math 7B InstructAlibaba · 7.6B 30Basic quality (D) · 30 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 29.6 tok/s Runs well 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slow
Qwen3-VL 30B-A3B ThinkingAlibaba · 31B (3.3B active) 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. 33.6 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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen2.5 1.5B InstructAlibaba · 1.5B 24Basic quality (D) · 24 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 57.7 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 53/100 (quality, fit, speed and memory use) sets the ranking. 11.4 tok/s Runs well
LFM2-VL 1.6BLiquid AI · 1.6B 24Basic quality (D) · 24 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 56.2 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 52/100 (quality, fit, speed and memory use) sets the ranking. 11.1 tok/s Runs well
Fara 1.5 27BMicrosoft · 27B 83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slowheavy RAM offload 61Good quality (B) · 61 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. 1.1 tok/s Very slowtight fit
Orca 2 7BMicrosoft · 6.7B 15Basic quality (D) · 15 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 42.5 tok/s Runs welltight fit 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. 3.4 tok/s Slow
North Mini Code 1.0 (30B-A3B)Cohere · 30B (3.0B active) 76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 28.6 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 56/100 (quality, fit, speed and memory use) sets the ranking. 7.9 tok/s Slowover memory limit
Qwen3 30B-A3BAlibaba · 31B (3.3B active) 62Good quality (B) · 62 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. 33.7 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 59/100 (quality, fit, speed and memory use) sets the ranking. 7.2 tok/s Slowover memory limit
Qwen3-VL 30B-A3B InstructAlibaba · 31B (3.3B active) 62Good quality (B) · 62 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. 33.6 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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Mathstral 7BMistral AI · 7.3B 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 39.5 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 52/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Hunyuan Hy-Memory 30B-A3BTencent · 30B (3.0B active) 71Great quality (A) · 71 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. 36.8 tok/s Slowheavy RAM offload 59Good quality (B) · 59 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 7.9 tok/s Slowover memory limit
Gemma 3 1BGoogle · 1.0B 20Basic quality (D) · 20 of 100: how capable the model is at F16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 40.9 tok/s Runs great 14Basic quality (D) · 14 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. 28.7 tok/s Runs well
LFM2 1.2BLiquid AI · 1.2B 26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 75.9 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 54/100 (quality, fit, speed and memory use) sets the ranking. 15.0 tok/s Runs well
Llama 2 7B ChatMeta · 6.7B 14Basic quality (D) · 14 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 42.5 tok/s Runs welltight fit 16Basic quality (D) · 16 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
UI-Mate 27BTencent · 27B 81Great quality (A) · 81 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 3.5 tok/s Slowheavy RAM offload 60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 1.1 tok/s Very slowtight fit
Yi Coder 9B Chat01.AI · 8.8B 28Basic quality (D) · 28 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 32.4 tok/s Runs welltight fit 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. 3.3 tok/s Slow
Trinity Mini (26B-A3B)Arcee AI · 26B (3.0B active) 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 29.4 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 72/100 (quality, fit, speed and memory use) sets the ranking. 9.3 tok/s Slowtight fit
Maple Preview (20B-A1B)DeepGrove · 20B (1.5B active) 69Good quality (B) · 69 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. 39.0 tok/s Slowheavy RAM offload 58Good quality (B) · 58 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. 14.5 tok/s Runs welltight fit
Laguna XS 2.1 (33B-A3B)Poolside · 33B (3.0B active) 57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 45.2 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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Falcon 3 1B InstructTII · 1.7B 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. 53.2 tok/s Runs great 11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 17.2 tok/s Runs well
DeepSeek LLM 7B ChatDeepSeek · 6.9B 12Basic quality (D) · 12 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 41.5 tok/s Runs welltight fit 15Basic quality (D) · 15 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
InternLM2 Math Plus 7BShanghai AI Lab · 7.7B 22Basic quality (D) · 22 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 37.0 tok/s Runs great 22Basic quality (D) · 22 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 3.7 tok/s Slow
LLM4Decompile 9B V2LLM4Binary · 8.8B 26Basic quality (D) · 26 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. 32.4 tok/s Runs welltight fit 26Basic quality (D) · 26 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. 3.3 tok/s Slow
Llama 3.2 1B InstructMeta · 1.2B 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. 71.6 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 52/100 (quality, fit, speed and memory use) sets the ranking. 18.2 tok/s Runs well
OLMo 7B InstructAi2 · 6.9B 9Basic quality (D) · 9 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 41.6 tok/s Runs great 11Basic quality (D) · 11 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 3.3 tok/s Slow
ERNIE 4.5 21B-A3BBaidu · 22B (3.0B active) 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 30.0 tok/s Slowheavy RAM offload 53Fair quality (C) · 53 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 7.4 tok/s Slowtight fit
GLiDE 2BFastino · 1.9B 17Basic quality (D) · 17 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 47.2 tok/s Runs great 14Basic quality (D) · 14 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. 12.0 tok/s Runs well
Qwen3 0.6BAlibaba · 0.8B 14Basic quality (D) · 14 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 54.6 tok/s Runs great 9Basic quality (D) · 9 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. 38.3 tok/s Runs great
LLaVA 1.5 7BLLaVA · 7.1B 11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 40.6 tok/s Runs welltight fit 13Basic quality (D) · 13 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
Kimi-VL A3B Thinking 2506Moonshot AI · 16B (3.0B active) 42Fair quality (C) · 42 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. 59.9 tok/s Runs welloffloads to RAM 58Good quality (B) · 58 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. 4.7 tok/s Slowtight fit
InternLM 7BShanghai AI Lab · 7.3B 8Basic quality (D) · 8 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 39.1 tok/s Runs great 10Basic quality (D) · 10 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Vicuna 7B v1.5LMSYS · 6.7B 9Basic quality (D) · 9 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 42.5 tok/s Runs welltight fit 11Basic quality (D) · 11 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
DeepScaleR 1.5B PreviewAgentica · 1.8B 26Basic quality (D) · 26 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 49.9 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 48/100 (quality, fit, speed and memory use) sets the ranking. 12.7 tok/s Runs well
SmolLM 1.7B InstructHugging Face · 1.7B 14Basic quality (D) · 14 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 51.9 tok/s Runs great 9Basic quality (D) · 9 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. 16.8 tok/s Runs well
Granite Code 8B Instruct (128K)IBM · 8.1B 22Basic quality (D) · 22 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. 35.6 tok/s Runs welltight fit 22Basic quality (D) · 22 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 3.6 tok/s Slow
WizardMath 7B v1.1WizardLM · 7.2B 18Basic quality (D) · 18 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 39.6 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 49/100 (quality, fit, speed and memory use) sets the ranking. 3.1 tok/s Slow
Spark X2.6 1.7BSparkLLM · 1.7B 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. 51.9 tok/s Runs great 11Basic quality (D) · 11 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. 16.8 tok/s Runs well
Stable Code Instruct 3BStability AI · 2.8B 19Basic quality (D) · 19 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 43.2 tok/s Runs welltight fit 14Basic quality (D) · 14 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. 10.3 tok/s Runs well
OLMo 2 1B InstructAi2 · 1.5B 14Basic quality (D) · 14 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. 60.0 tok/s Runs great 9Basic quality (D) · 9 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 19.4 tok/s Runs well
Qwen2 1.5B InstructAlibaba · 1.5B 16Basic quality (D) · 16 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. 57.7 tok/s Runs great 11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 18.7 tok/s Runs well
StableLM 2 1.6B ChatStability AI · 1.6B 10Basic quality (D) · 10 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. 54.1 tok/s Runs great 7Basic quality (D) · 7 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. 17.5 tok/s Runs well
StableLM 2 Zephyr 1.6BStability AI · 1.6B 10Basic quality (D) · 10 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. 54.1 tok/s Runs great 7Basic quality (D) · 7 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. 17.5 tok/s Runs well
LFM2 700MLiquid AI · 0.7B 18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 55.3 tok/s Runs great 12Basic quality (D) · 12 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 38.8 tok/s Runs great
StarCoder2 7BBigCode · 7.2B 16Basic quality (D) · 16 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 39.9 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 48/100 (quality, fit, speed and memory use) sets the ranking. 3.2 tok/s Slow
Granite Code 3B Instruct (128K)IBM · 3.5B 19Basic quality (D) · 19 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. 50.1 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 49/100 (quality, fit, speed and memory use) sets the ranking. 5.0 tok/s Slow
LFM2 24B-A2BLiquid AI · 24B (2.3B active) 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 37.9 tok/s Slowheavy RAM offload 39Basic quality (D) · 39 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. 12.0 tok/s Runs well
Qwen2.5 Coder 1.5B InstructAlibaba · 1.5B 26Basic quality (D) · 26 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. 57.7 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 48/100 (quality, fit, speed and memory use) sets the ranking. 11.4 tok/s Runs well
Kimi Linear 48B-A3BMoonshot AI · 49B (3.0B active) 51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 44.6 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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Gemma 2B ITGoogle · 2.5B 11Basic quality (D) · 11 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 48.2 tok/s Runs great 8Basic quality (D) · 8 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. 11.4 tok/s Runs well
Qwen3 30B-A3B Thinking 2507Alibaba · 31B (3.3B active) 65Good quality (B) · 65 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. 33.7 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 55/100 (quality, fit, speed and memory use) sets the ranking. 7.2 tok/s Slowover memory limit
Qwen3 Coder 30B-A3BAlibaba · 31B (3.3B active) 65Good quality (B) · 65 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. 33.7 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 55/100 (quality, fit, speed and memory use) sets the ranking. 7.2 tok/s Slowover memory limit
Yi Coder 1.5B Chat01.AI · 1.5B 16Basic quality (D) · 16 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. 60.0 tok/s Runs great 11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 19.4 tok/s Runs well
StarCoder2 3BBigCode · 3.0B 17Basic quality (D) · 17 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. 39.9 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 44/100 (quality, fit, speed and memory use) sets the ranking. 5.8 tok/s Slow
ERNIE 4.5 21B-A3B ThinkingBaidu · 22B (3.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 30.1 tok/s Slowheavy RAM offload 58Good quality (B) · 58 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. 7.4 tok/s Slowtight fit
Axion 1.0 35BAxion · 35B (3.0B active) 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. 36.7 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 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Gemma 3 12B ITGoogle · 12B 50Fair quality (C) · 50 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. 14.3 tok/s Runs welloffloads to RAM 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. 1.2 tok/s Very slow
Groot 19B A3B 261023GrootTeam · 19B (3.0B active) 54Fair quality (C) · 54 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 31.3 tok/s Slowheavy RAM offload 47Fair quality (C) · 47 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 7.4 tok/s Slow
DeepSeek R1 Distill Qwen 1.5BDeepSeek · 1.8B 22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 49.9 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 46/100 (quality, fit, speed and memory use) sets the ranking. 12.7 tok/s Runs well
Falcon 7B InstructTII · 7.2B 4Basic quality (D) · 4 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 39.7 tok/s Runs great 4Basic quality (D) · 4 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. 4.0 tok/s Slow
Ling Mini 2.0 (16B-A1.4B)Ant Group (inclusionAI) · 16B (1.4B active) 36Basic quality (D) · 36 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. 105 tok/s Runs welloffloads to RAM 49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 12.0 tok/s Runs welltight fit
Devstral Small 2 (24B)Mistral AI · 24B 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 3.9 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 70/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
d1 2BLiquid AI · 1.9B 21Basic quality (D) · 21 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 46.2 tok/s Runs great 17Basic quality (D) · 17 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. 11.8 tok/s Runs well
Apriel 1.5 15B ThinkerServiceNow · 15B 71Great quality (A) · 71 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 4.5 tok/s Slowheavy RAM offload 68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Qwen3-Omni 30B-A3B InstructAlibaba · 35B (3.3B active) 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. 42.2 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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Kimi-VL A3B InstructMoonshot AI · 16B (3.0B active) 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 59.9 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 71/100 (quality, fit, speed and memory use) sets the ranking. 5.7 tok/s Slowtight fit
NorthCUA Minibeipo-ai · 35B (3.0B active) 49Fair quality (C) · 49 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. 36.7 tok/s Slowheavy RAM offload 41Fair quality (C) · 41 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
DeepSeek Coder 1.3B InstructDeepSeek · 1.4B 12Basic quality (D) · 12 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 65.8 tok/s Runs great 8Basic quality (D) · 8 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. 21.3 tok/s Runs well
LLM4Decompile 1.3B V2LLM4Binary · 1.4B 12Basic quality (D) · 12 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 65.8 tok/s Runs great 8Basic quality (D) · 8 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. 21.3 tok/s Runs well
Phi-4 Reasoning Vision 15BMicrosoft · 15B 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 4.4 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 76/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
GLiDE 0.8BFastino · 0.8B 11Basic quality (D) · 11 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. 54.6 tok/s Runs great 7Basic quality (D) · 7 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. 38.3 tok/s Runs great
Moonlight 16B-A3B InstructMoonshot AI · 16B (3.0B active) 32Basic quality (D) · 32 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. 60.8 tok/s Runs welloffloads to RAM 43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 5.7 tok/s Slowtight fit
EXAONE 4.5 33BLG AI Research · 34B 68Good quality (B) · 68 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. 3.6 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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Falcon 3 10B InstructTII · 10B 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. 17.0 tok/s Runs welloffloads to RAM 51Fair quality (C) · 51 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
Qwen3 14BAlibaba · 15B 64Good quality (B) · 64 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. 7.1 tok/s Slowheavy RAM offload 65Good quality (B) · 65 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. 1.0 tok/s Very slowtight fit
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 59/100 (quality, fit, speed and memory use) sets the ranking. 78.7 tok/s Runs great 11Basic quality (D) · 11 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. 43.5 tok/s Runs great
Gemma 2 9B ITGoogle · 9.2B 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. 19.4 tok/s Runs welloffloads to RAM 35Basic quality (D) · 35 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. 3.1 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 59/100 (quality, fit, speed and memory use) sets the ranking. 75.8 tok/s Runs great 6Basic quality (D) · 6 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 41.9 tok/s Runs great
Nanbeige4.3 33BBOSS Zhipin (Nanbeige) · 33B 66Good quality (B) · 66 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. 4.7 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 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen2.5-Math 1.5B InstructAlibaba · 1.5B 20Basic quality (D) · 20 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 57.7 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 45/100 (quality, fit, speed and memory use) sets the ranking. 14.7 tok/s Runs well
Gemma 3 27B ITGoogle · 27B 68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.5 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 69/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slowtight fit
Devstral Small 1.1 (24B)Mistral AI · 24B 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 4.0 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 68/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Magistral Small 2507Mistral AI · 24B 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 4.0 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 68/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Hermes 4 14BNous Research · 15B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 7.1 tok/s Slowheavy RAM offload 64Good quality (B) · 64 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. 1.0 tok/s Very slowtight fit
MedGemma 27B Text ITGoogle · 27B 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.5 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 68/100 (quality, fit, speed and memory use) sets the ranking. 1.1 tok/s Very slowtight fit
CodeGemma 2BGoogle · 2.5B 13Basic quality (D) · 13 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 48.2 tok/s Runs great 9Basic quality (D) · 9 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 42/100 (quality, fit, speed and memory use) sets the ranking. 11.4 tok/s Runs well
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 58/100 (quality, fit, speed and memory use) sets the ranking. 80.2 tok/s Runs great 8Basic quality (D) · 8 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. 44.3 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 58/100 (quality, fit, speed and memory use) sets the ranking. 10.1 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 53/100 (quality, fit, speed and memory use) sets the ranking. 2.7 tok/s Very slowover memory limit
Gemma 4 31BGoogle · 31B 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 5.0 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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Ministral 3 14BMistral AI · 14B 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 7.7 tok/s Slowheavy RAM offload 60Good quality (B) · 60 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. 1.3 tok/s Very 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 57/100 (quality, fit, speed and memory use) sets the ranking. 117 tok/s Runs great 13Basic quality (D) · 13 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 41.3 tok/s Runs great
Magistral Small 2506Mistral AI · 24B 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 4.0 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 68/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Mistral Small 3.2 24BMistral AI · 24B 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 3.9 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 68/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
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 57/100 (quality, fit, speed and memory use) sets the ranking. 90.9 tok/s Runs great 11Basic quality (D) · 11 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. 38.9 tok/s Runs great
Phi-4 (14B)Microsoft · 15B 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 7.0 tok/s Slowheavy RAM offload 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
DeepSeek V2 Lite ChatDeepSeek · 16B (2.4B active) 28Basic quality (D) · 28 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. 73.1 tok/s Runs welloffloads to RAM 28Basic quality (D) · 28 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. 11.5 tok/s Runs well
InternVL3 14BShanghai AI Lab · 15B 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 6.8 tok/s Slowheavy RAM offload 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Terminal RSI 27BTeriminal-RSI · 28B 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 3.4 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 67/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slowtight fit
Hemmingway 1.5Hemmingway · 27B 63Good quality (B) · 63 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 3.6 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 67/100 (quality, fit, speed and memory use) sets the ranking. 1.1 tok/s Very slowtight fit
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 57/100 (quality, fit, speed and memory use) sets the ranking. 83.5 tok/s Runs great 8Basic quality (D) · 8 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. 46.2 tok/s Runs great
LFM2 350MLiquid AI · 0.4B 12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 117 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 53/100 (quality, fit, speed and memory use) sets the ranking. 41.3 tok/s Runs great
Mistral Small 3.1 24BMistral AI · 24B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.9 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 67/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Qwen2.5 14B InstructAlibaba · 15B 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 7.0 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 73/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Mistral Nemo 12B InstructMistral AI · 12B 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. 18.6 tok/s Runs welloffloads to RAM 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. 1.4 tok/s Very slow
GLM-4 32B 0414Zhipu AI · 33B 62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.8 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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 56/100 (quality, fit, speed and memory use) sets the ranking. 120 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 53/100 (quality, fit, speed and memory use) sets the ranking. 42.5 tok/s Runs great
DeepSeek Coder V2 Lite (16B)DeepSeek · 16B (2.4B active) 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. 73.1 tok/s Runs welloffloads to RAM 36Basic quality (D) · 36 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. 11.5 tok/s Runs well
Phi-4 Reasoning Plus (14B)Microsoft · 15B 71Great quality (A) · 71 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. 4.6 tok/s Slowheavy RAM offload 68Good quality (B) · 68 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. 1.2 tok/s Very slowtight fit
Mistral Small 3 24B (2501)Mistral AI · 24B 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 4.0 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 66/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
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 56/100 (quality, fit, speed and memory use) sets the ranking. 114 tok/s Runs great 7Basic quality (D) · 7 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great
Qwen2.5 14B Instruct 1MAlibaba · 15B 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 7.0 tok/s Slowheavy RAM offload 57Good quality (B) · 57 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. 1.2 tok/s Very slowtight fit
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 55/100 (quality, fit, speed and memory use) sets the ranking. 59.3 tok/s Runs great 10Basic quality (D) · 10 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. 41.6 tok/s Runs great
EXAONE 4.0 32BLG AI Research · 32B 60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.9 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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Olmo 3.1 32B InstructAi2 · 32B 60Good quality (B) · 60 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.8 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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Pixtral 12B (2409)Mistral AI · 12B 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 18.1 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 69/100 (quality, fit, speed and memory use) sets the ranking. 1.4 tok/s Very slow
TinyLlama 1.1B ChatTinyLlama · 1.1B 6Basic quality (D) · 6 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. 80.7 tok/s Runs great 4Basic quality (D) · 4 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. 26.1 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 55/100 (quality, fit, speed and memory use) sets the ranking. 16.0 tok/s Runs welloffloads to RAM 40Fair quality (C) · 40 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. 1.4 tok/s Very 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 55/100 (quality, fit, speed and memory use) sets the ranking. 83.5 tok/s Runs great 5Basic quality (D) · 5 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. 46.2 tok/s Runs great
Phi-4 Reasoning (14B)Microsoft · 15B 69Good quality (B) · 69 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. 4.6 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 71/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Dolphin Mistral 24B Venice EditionCognitive Computations · 24B 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.9 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 66/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Voxtral Small 24BMistral AI · 24B 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 3.9 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 66/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
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 55/100 (quality, fit, speed and memory use) sets the ranking. 178 tok/s Runs great 9Basic quality (D) · 9 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 52.8 tok/s Runs great
Solar Pro Preview 22BUpstage · 22B 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 4.3 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 65/100 (quality, fit, speed and memory use) sets the ranking. 1.3 tok/s Very slowtight fit
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 54/100 (quality, fit, speed and memory use) sets the ranking. 114 tok/s Runs great 5Basic quality (D) · 5 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great
Magistral Small 1.2 (24B)Mistral AI · 24B 68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 3.9 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 64/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Dolphin 3.0 R1 Mistral 24BCognitive Computations · 24B 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 4.0 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 65/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Phi-3 Medium (14B)Microsoft · 14B 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. 16.2 tok/s Runs welloffloads to RAM 43Fair quality (C) · 43 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. 1.3 tok/s Very 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 53/100 (quality, fit, speed and memory use) sets the ranking. 157 tok/s Runs great 5Basic quality (D) · 5 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. 46.7 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 53/100 (quality, fit, speed and memory use) sets the ranking. 114 tok/s Runs great 4Basic quality (D) · 4 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 40.1 tok/s Runs great
Ministral 3 14B ReasoningMistral AI · 14B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 7.7 tok/s Slowheavy RAM offload 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. 1.3 tok/s Very slow
AceReason Nemotron 14BNVIDIA · 15B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 7.0 tok/s Slowheavy RAM offload 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. 1.2 tok/s Very slowtight fit
OpenReasoning Nemotron 14BNVIDIA · 15B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 7.0 tok/s Slowheavy RAM offload 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. 1.2 tok/s Very slowtight fit
Qwen2.5 Coder 14B InstructAlibaba · 15B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 7.0 tok/s Slowheavy RAM offload 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. 1.2 tok/s Very slowtight fit
Apriel Nemotron 15B ThinkerServiceNow · 15B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 6.8 tok/s Slowheavy RAM offload 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. 1.2 tok/s Very slowtight fit
Granite 4.2 30BIBM · 29B 53Fair quality (C) · 53 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. 5.3 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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Gemma 3 270MGoogle · 0.3B 6Basic quality (D) · 6 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. 152 tok/s Runs great 5Basic quality (D) · 5 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 45.0 tok/s Runs great
DeepCoder 14B PreviewAgentica · 15B 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 7.0 tok/s Slowheavy RAM offload 60Good quality (B) · 60 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
Gemma 2 27B ITGoogle · 27B 52Fair quality (C) · 52 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. 4.5 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 51/100 (quality, fit, speed and memory use) sets the ranking. 0.9 tok/s Very slowover memory limit
Reka Flash 3.1 (21B)Reka AI · 21B 64Good quality (B) · 64 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slowheavy RAM offload 55Good quality (B) · 55 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. 1.1 tok/s Very slowtight fit
Olmo 3.1 32B ThinkAi2 · 32B 63Good quality (B) · 63 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. 3.8 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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Granite 4.1 30BIBM · 29B 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. 5.4 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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 51/100 (quality, fit, speed and memory use) sets the ranking. 315 tok/s Runs great 4Basic quality (D) · 4 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. 68.5 tok/s Runs great
Devstral Small 2505Mistral AI · 24B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 4.0 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 62/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
JanusCoder 14BShanghai AI Lab · 15B 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 7.1 tok/s Slowheavy RAM offload 60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 1.0 tok/s Very slowtight fit
DeepSeek R1 Distill Qwen 14BDeepSeek · 15B 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 7.0 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 68/100 (quality, fit, speed and memory use) sets the ranking. 1.2 tok/s Very slowtight fit
SenseNova 6.8 Code2VideoSenseTime · 27B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 3.5 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 62/100 (quality, fit, speed and memory use) sets the ranking. 1.1 tok/s Very slowtight fit
GLM-Z1 32B (0414)Zhipu AI · 33B 62Good quality (B) · 62 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 3.8 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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
OLMo 2 32B InstructAi2 · 32B 50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. 3.8 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 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 51/100 (quality, fit, speed and memory use) sets the ranking. 83.5 tok/s Runs great 6Basic quality (D) · 6 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. 46.2 tok/s Runs great
Falcon-H1 Tiny 90M InstructTII · 0.1B 3Basic quality (D) · 3 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 455 tok/s Runs great 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. 45.6 tok/s Runs great
Baichuan 2 7B ChatBaichuan · 7.5B 14Basic quality (D) · 14 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 37.4 tok/s Runs welloffloads to RAM 16Basic quality (D) · 16 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 3.0 tok/s Slow
InternLM2.5 20B ChatShanghai AI Lab · 20B 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 4.9 tok/s Slowheavy RAM offload 42Fair quality (C) · 42 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. 1.1 tok/s Very slowtight fit
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 50/100 (quality, fit, speed and memory use) sets the ranking. 315 tok/s Runs great 2Basic quality (D) · 2 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. 68.5 tok/s Runs great
Phi-3 Medium 128K InstructMicrosoft · 14B 43Fair quality (C) · 43 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. 7.5 tok/s Slowheavy RAM offload 44Fair quality (C) · 44 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. 1.0 tok/s Very slowtight fit
Mistral Small 22B (2409)Mistral AI · 22B 45Fair quality (C) · 45 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. 5.6 tok/s Slowheavy RAM offload 37Basic quality (D) · 37 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. 1.3 tok/s Very slowtight fit
StableLM 2 12B ChatStability AI · 12B 19Basic quality (D) · 19 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 20.7 tok/s Runs welloffloads to RAM 26Basic quality (D) · 26 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. 1.4 tok/s Very slow
Falcon-H1 34B InstructTII · 34B 44Fair quality (C) · 44 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 4.7 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 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek MoE 16B ChatDeepSeek · 16B (2.8B active) 21Basic quality (D) · 21 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. 44.6 tok/s Slowheavy RAM offload 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 7.9 tok/s Slow
Command R (08-2024) 32BCohere · 32B 43Fair quality (C) · 43 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. 4.9 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 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Aya Expanse 32BCohere · 32B 42Fair quality (C) · 42 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. 4.9 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 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen1.5 MoE A2.7B ChatAlibaba · 14B (2.7B active) 22Basic quality (D) · 22 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. 34.1 tok/s Slowheavy RAM offload 16Basic quality (D) · 16 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 10.3 tok/s Runs well
Aya Vision 32BCohere · 33B 42Fair quality (C) · 42 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. 4.8 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 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Codestral 22BMistral AI · 22B 52Fair quality (C) · 52 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. 5.6 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 61/100 (quality, fit, speed and memory use) sets the ranking. 1.3 tok/s Very slowtight fit
OLMo 2 13B InstructAi2 · 14B 36Basic quality (D) · 36 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. 8.9 tok/s Slowheavy RAM offload 41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 1.3 tok/s Very slowtight fit
InternLM2 Chat 20BShanghai AI Lab · 20B 39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. 4.9 tok/s Slowheavy RAM offload 35Basic quality (D) · 35 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. 1.1 tok/s Very slowtight fit
LLM4Decompile 22B V2LLM4Binary · 22B 48Fair quality (C) · 48 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. 5.6 tok/s Slowheavy RAM offload 40Fair quality (C) · 40 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. 1.3 tok/s Very slowtight fit
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 44/100 (quality, fit, speed and memory use) sets the ranking. 13.7 tok/s Slowheavy RAM offload 33Basic quality (D) · 33 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. 3.3 tok/s Slow
Yi 1.5 34B Chat01.AI · 34B 35Basic quality (D) · 35 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. 4.6 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 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Gemma 1.1 7B ITGoogle · 8.5B 26Basic quality (D) · 26 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 43/100 (quality, fit, speed and memory use) sets the ranking. 11.1 tok/s Slowheavy RAM offload 19Basic quality (D) · 19 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
Gemma 7B ITGoogle · 8.5B 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 43/100 (quality, fit, speed and memory use) sets the ranking. 11.1 tok/s Slowheavy RAM offload 18Basic quality (D) · 18 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
LLaVA 1.6 34BLLaVA · 35B 30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 42/100 (quality, fit, speed and memory use) sets the ranking. 4.6 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 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen1.5 7B ChatAlibaba · 7.7B 18Basic quality (D) · 18 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 42/100 (quality, fit, speed and memory use) sets the ranking. 20.2 tok/s Slowheavy RAM offload 18Basic quality (D) · 18 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. 3.7 tok/s Slow
StarCoder2 15B InstructBigCode · 16B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 42/100 (quality, fit, speed and memory use) sets the ranking. 6.8 tok/s Slowheavy RAM offload 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. 1.1 tok/s Very slowtight fit
StarCoder 15BBigCode · 16B 18Basic quality (D) · 18 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 42/100 (quality, fit, speed and memory use) sets the ranking. 14.5 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 53/100 (quality, fit, speed and memory use) sets the ranking. 1.1 tok/s Very slow
Orca 2 13BMicrosoft · 13B 23Basic quality (D) · 23 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 41/100 (quality, fit, speed and memory use) sets the ranking. 9.5 tok/s Slowheavy RAM offload 26Basic quality (D) · 26 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. 1.3 tok/s Very slowtight fit
Yi 34B Chat01.AI · 34B 28Basic quality (D) · 28 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 41/100 (quality, fit, speed and memory use) sets the ranking. 4.6 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 3/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
CodeGemma 7BGoogle · 8.5B 32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 41/100 (quality, fit, speed and memory use) sets the ranking. 11.1 tok/s Slowheavy RAM offload 23Basic quality (D) · 23 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
InternLM2 Math Plus 20BShanghai AI Lab · 20B 38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 41/100 (quality, fit, speed and memory use) sets the ranking. 4.9 tok/s Slowheavy RAM offload 33Basic quality (D) · 33 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. 1.1 tok/s Very slowtight fit
DeepSeek Coder 6.7B InstructDeepSeek · 6.7B 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 41/100 (quality, fit, speed and memory use) sets the ranking. 23.7 tok/s Slowheavy RAM offload 28Basic quality (D) · 28 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. 3.4 tok/s Slow
Llama 2 13B ChatMeta · 13B 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 41/100 (quality, fit, speed and memory use) sets the ranking. 9.5 tok/s Slowheavy RAM offload 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 1.7 tok/s Very slow
Baichuan 2 13B ChatBaichuan · 14B 21Basic quality (D) · 21 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 40/100 (quality, fit, speed and memory use) sets the ranking. 8.8 tok/s Slowheavy RAM offload 24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. 1.3 tok/s Very slowtight fit
LLM4Decompile 6.7B V2LLM4Binary · 6.7B 22Basic quality (D) · 22 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 40/100 (quality, fit, speed and memory use) sets the ranking. 23.7 tok/s Slowheavy RAM offload 26Basic quality (D) · 26 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
SQLCoder 7B v2Defog · 6.7B 21Basic quality (D) · 21 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 39/100 (quality, fit, speed and memory use) sets the ranking. 23.7 tok/s Slowheavy RAM offload 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. 3.4 tok/s Slow
Granite Code 20B InstructIBM · 20B 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 39/100 (quality, fit, speed and memory use) sets the ranking. 5.2 tok/s Slowheavy RAM offload 30Basic quality (D) · 30 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. 1.1 tok/s Very slowtight fit
WizardLM 13B v1.2WizardLM · 13B 18Basic quality (D) · 18 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 39/100 (quality, fit, speed and memory use) sets the ranking. 9.5 tok/s Slowheavy RAM offload 18Basic quality (D) · 18 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. 1.7 tok/s Very slow
LLaVA 1.5 13BLLaVA · 13B 18Basic quality (D) · 18 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 39/100 (quality, fit, speed and memory use) sets the ranking. 9.2 tok/s Slowheavy RAM offload 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. 1.3 tok/s Very slowtight fit
Vicuna 13B v1.5LMSYS · 13B 16Basic quality (D) · 16 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 38/100 (quality, fit, speed and memory use) sets the ranking. 9.5 tok/s Slowheavy RAM offload 16Basic quality (D) · 16 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. 1.7 tok/s Very slow
StarCoder2 15B (base)BigCode · 16B 30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 38/100 (quality, fit, speed and memory use) sets the ranking. 6.8 tok/s Slowheavy RAM offload 30Basic quality (D) · 30 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. 1.1 tok/s Very slowtight fit
Granite Code 34B InstructIBM · 34B 33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 38/100 (quality, fit, speed and memory use) sets the ranking. 3.7 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 3/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Code Llama 7B InstructMeta · 6.7B 16Basic quality (D) · 16 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 38/100 (quality, fit, speed and memory use) sets the ranking. 23.7 tok/s Slowheavy RAM offload 20Basic quality (D) · 20 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. 3.4 tok/s Slow
Code Llama 34B InstructMeta · 34B 26Basic quality (D) · 26 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. 4.6 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 3/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Falcon 40B InstructTII · 42B 11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 33/100 (quality, fit, speed and memory use) sets the ranking. 3.8 tok/s Slowheavy RAM offload 11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 1/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
gpt-oss 120BOpenAI · 117B (5.1B active) 84Great quality (A) · 84 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 84Great quality (A) · 84 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Kimi K3.1 Pro (2.8T)Moonshot AI · 2,780B (104.0B active) 69Good quality (B) · 69 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 69Good quality (B) · 69 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V4.1 Flash 1017 (552B-A16B)DeepSeek · 763B (16.0B active) 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
GLM-5.3 (753B-A40B)Zhipu AI · 753B (40.0B active) 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen3.8 Max (2.4T-A95B)Alibaba · 2,446B (95.0B active) 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Kimi K3 (2.8T)Moonshot AI · 2,780B (104.0B active) 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiMo V2.6 Pro (1T-A42B)Xiaomi · 1,024B (42.0B active) 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Ling 3.1 Flash 1019 (560B-A25B)Ant Group (inclusionAI) · 572B (25.0B active) 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiniMax M3.1 Flash (428B-A23B)MiniMax · 429B (23.0B active) 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Step 5 Preview (600B-A27B)StepFun · 604B (27.0B active) 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
GLM-5.3 Flash (320B-A18B)Zhipu AI · 321B (18.0B active) 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiMo V2.6 Flash (310B-A15B)Xiaomi · 311B (15.0B active) 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V4.1 Flash (552B-A16B)DeepSeek · 763B (16.0B active) 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Mistral Large 4 (1T-A52B)Mistral AI · 1,053B (52.0B active) 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen3.8 Flash Next (125B-A6B)Alibaba · 180B (6.0B active) 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
GLM-5.2 (753B-A40B)Zhipu AI · 753B (40.0B active) 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Hunyuan Hy4 Preview (780B)Tencent · 780B (55.0B active) 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Muse Spark Open (816B-A42B)Meta · 822B (42.0B active) 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V4 Pro (1.6T-A49B)DeepSeek · 1,651B (49.0B active) 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Kimi K2.6 (1T)Moonshot AI · 1,027B (32.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Ling 3.1 Flash (560B-A25B)Ant Group (inclusionAI) · 572B (25.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiMo V2.5 Pro (1T-A42B)Xiaomi · 1,023B (42.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Intern-S2 (397B-A17B)Shanghai AI Lab · 403B (17.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
GLM-5.1 (744B-A40B)Zhipu AI · 754B (40.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Nex N2 Pro (397B-A17B)Nex-AGI · 397B (17.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V4 Pro (April 2026)DeepSeek · 1,599B (49.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Naive N0.5 Flash (309B-A15.5B)Naive AI · 309B (15.5B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen3.5 397B-A17BAlibaba · 403B (17.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiniMax M3 (427B)MiniMax · 427B (25.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
GLM-5 (744B-A40B)Zhipu AI · 754B (40.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
K2-Horizon (375B-A23B)Institute of Foundation Models · 379B (23.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Hunyuan Hy3 (295B-A21B)Tencent · 299B (21.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Beam 1.0 (501B-A23B)Reflection AI · 501B (23.4B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Kimi K2.5 (1T)Moonshot AI · 1,027B (32.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Kimi K2.7 Code (1T)Moonshot AI · 1,027B (32.0B active) 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 66Good quality (B) · 66 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V4 Flash (284B-A13B)DeepSeek · 304B (13.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiMo V2.5 (310B-A15B)Xiaomi · 311B (15.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Ornith 1.5 397B-A17BDeepReinforce · 403B (17.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V3.2 (671B)DeepSeek · 685B (37.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Inkling Small (276B-A12B)Thinking Machines Lab · 266B (12.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
GLM-4.7 (355B-A32B)Zhipu AI · 358B (32.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Inkling (975B-A41B)Thinking Machines Lab · 952B (41.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiniMax M2.7 (230B-A10B)MiniMax · 229B (10.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Step 3.7 Flash (198B-A11B)StepFun · 201B (11.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Nemotron 3 Ultra 550B-A55BNVIDIA · 561B (55.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek R1 0528 (671B)DeepSeek · 685B (37.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Kimi K2 Thinking (1T)Moonshot AI · 1,026B (32.0B active) 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V3.2 ExpDeepSeek · 685B (37.0B active) 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Ling 2.6 1TAnt Group (inclusionAI) · 1,025B (63.0B active) 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiniMax M2.5 (230B-A10B)MiniMax · 229B (10.0B active) 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek R1 (671B)DeepSeek · 671B (37.0B active) 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V4 Flash (April 2026)DeepSeek · 291B (13.0B active) 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Step 3.5 Flash (196B-A11B)StepFun · 199B (11.0B active) 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V3.1 TerminusDeepSeek · 685B (37.0B active) 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V3.1 (671B)DeepSeek · 685B (37.0B active) 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Kimi K2 Instruct 0905 (1T)Moonshot AI · 1,026B (32.0B active) 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiniMax M2.1 (230B-A10B)MiniMax · 229B (10.0B active) 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen3 235B-A22B Thinking 2507Alibaba · 235B (22.0B active) 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen3 Coder 480B-A35BAlibaba · 480B (35.0B active) 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiMo V2 Flash (309B-A15B)Xiaomi · 310B (15.0B active) 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Ling 1TAnt Group (inclusionAI) · 1,000B (50.0B active) 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Mistral Large 3 (675B)Mistral AI · 675B (41.0B active) 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen3 235B-A22B Instruct 2507Alibaba · 235B (22.0B active) 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Solar Open 2 250BUpstage · 250B (15.0B active) 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Kimi K2 Instruct (July 2025)Moonshot AI · 1,026B (32.0B active) 62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiniMax M2 (230B-A10B)MiniMax · 229B (10.0B active) 62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen3-VL 235B-A22B InstructAlibaba · 236B (22.0B active) 62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 62Good quality (B) · 62 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Command A+ (218B-A25B)Cohere · 219B (25.0B active) 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
K-EXAONE 236B-A23BLG AI Research · 237B (23.0B active) 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
LongCat Flash Chat (560B)Meituan · 562B (27.0B active) 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen3 235B-A22BAlibaba · 235B (22.0B active) 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
InternVL3.5 241B-A28BShanghai AI Lab · 241B (28.0B active) 60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Llama 3.1 Nemotron Ultra 253B v1NVIDIA · 253B 60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
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 60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Baichuan M3 235B-A22BBaichuan · 235B (22.0B active) 58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
GLM-4.6 (355B-A32B)Zhipu AI · 357B (32.0B active) 58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V3 0324 (671B)DeepSeek · 685B (37.0B active) 58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiniMax-M1 80KMiniMax · 456B (45.9B active) 58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
GLM-4.5 (355B-A32B)Zhipu AI · 358B (32.0B active) 57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiniMax-M1 40KMiniMax · 456B (45.9B active) 57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Mistral 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 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Mistral Medium 3.5 (128B)Mistral AI · 128B 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Trinity Large Thinking (400B-A13B)Arcee AI · 399B (13.0B active) 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
ERNIE 4.5 300B-A47BBaidu · 300B (47.0B active) 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Hermes 4 405BNous Research · 406B 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
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 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
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
Seed-OSS 36B InstructByteDance · 36B 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Hermes 4.3 36BNous Research · 36B 55Good quality (B) · 55 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 55Good quality (B) · 55 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
GLM-4.5 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 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
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 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
NorthCUA Probeipo-ai · 397B (17.0B active) 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
Qwen3-VL 32B InstructAlibaba · 33B 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
QwQ 32BAlibaba · 33B 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
dots.llm1 Instructrednote · 143B (14.0B active) 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
InternVL3.5 38BShanghai AI Lab · 38B 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
MiniMax-Text-01MiniMax · 456B (45.9B active) 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
OpenReasoning Nemotron 32BNVIDIA · 33B 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen3 32BAlibaba · 33B 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Skywork OR1 32BSkywork · 33B 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Tülu 3 405BAi2 · 406B 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V3 (671B)DeepSeek · 671B (37.0B active) 52Fair quality (C) · 52 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 52Fair quality (C) · 52 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek Coder V2 (236B)DeepSeek · 236B (21.0B active) 51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
EXAONE Deep 32BLG AI Research · 32B 51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
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 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
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 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
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 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
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 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
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 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
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 51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek Coder V2 Instruct (0614)DeepSeek · 236B (21.0B active) 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek 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 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek R1 Distill Qwen 32BDeepSeek · 33B 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V2.5 1210DeepSeek · 236B (21.0B active) 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Llama 3.1 405B InstructMeta · 406B 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Llama 4 Maverick (17B x 128E)Meta · 402B (17.0B active) 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 50Fair quality (C) · 50 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
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 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
Baichuan M2 32BBaichuan · 33B 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
DeepSeek V2.5DeepSeek · 236B (21.0B active) 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
InternVL3 38BShanghai AI Lab · 38B 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Jamba 1.5 LargeAI21 Labs · 399B (94.0B active) 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
OpenHands LM 32BAll Hands AI · 33B 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen2.5 32B InstructAlibaba · 33B 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
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 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
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 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
Qwen2.5-VL 32B InstructAlibaba · 33B 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 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
Qwen2.5 Coder 32B InstructAlibaba · 33B 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 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
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 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
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 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
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 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
QwQ 32B PreviewAlibaba · 33B 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 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
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 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
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 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
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 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
DeepSeek V2 ChatDeepSeek · 236B (21.0B active) 43Fair quality (C) · 43 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 43Fair quality (C) · 43 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
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 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
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 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
Phi-3.5 MoE (42B-A6.6B)Microsoft · 42B (6.6B active) 39Basic quality (D) · 39 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 39Basic quality (D) · 39 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Mixtral 8x22B InstructMistral AI · 141B (39.0B active) 38Basic quality (D) · 38 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 38Basic quality (D) · 38 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 5/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Nous Hermes 2 Mixtral 8x7B DPONous Research · 47B (12.9B active) 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 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
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 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
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 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Grok-1 (314B)xAI · 314B (86.0B active) 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Jamba 1.5 MiniAI21 Labs · 52B (12.0B active) 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Mixtral 8x7B InstructMistral AI · 47B (12.9B active) 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen2 57B-A14B InstructAlibaba · 57B (14.0B active) 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Snowflake Arctic InstructSnowflake · 479B (17.0B active) 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 4/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 30Basic quality (D) · 30 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
DeepSeek Coder 33B InstructDeepSeek · 33B 30Basic quality (D) · 30 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 30Basic quality (D) · 30 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
Qwen1.5 32B ChatAlibaba · 33B 30Basic quality (D) · 30 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 30Basic quality (D) · 30 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
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 3/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 28Basic quality (D) · 28 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
CogVLM2 Llama 3 Chat 19BZhipu AI · 20B 26Basic quality (D) · 26 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 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. 1.3 tok/s Very slowover memory limit
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 3/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 25Basic quality (D) · 25 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
Falcon 180B ChatTII · 180B 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Qwen1.5 14B ChatAlibaba · 14B 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 43/100 (quality, fit, speed and memory use) sets the ranking. 1.7 tok/s Very slowover memory limit
Code Llama 13B InstructMeta · 13B 21Basic quality (D) · 21 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 2/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 21Basic quality (D) · 21 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 37/100 (quality, fit, speed and memory use) sets the ranking. 1.9 tok/s Very slowover memory limit

Image models

43 of 60 image models run on the Intel Arc A380. 6.0 GB usable for models.

54 of 60 image models run on the Raspberry Pi 5 (16 GB). 13.6 GB usable for models.

Model QualityArc A380 SpeedArc A380 RunsArc A380 QualityRaspberry Pi 5 SpeedRaspberry Pi 5 RunsRaspberry Pi 5
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 80/100 (quality, fit, speed and memory use) sets the ranking. 13 s Runs greatencoder in RAM 76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. 2.7 min 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 77/100 (quality, fit, speed and memory use) sets the ranking. 12 s Runs welltight fit 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. 3.9 min Very 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. 6.4 s Runs welltight fit 54Fair quality (C) · 54 of 100: how capable the model is at FP16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 2.1 min Slow
FLUX 3 Image KleinBlack Forest Labs · 5.6B 84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 73 s Slowtight fit · encoder in RAM 90Excellent quality (A+) · 90 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 19.9 min Very slowtight fit
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 72/100 (quality, fit, speed and memory use) sets the ranking. 30 s Runs wellCPU offload 83Great quality (A) · 83 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 8.7 min Very slowtight fit
Juggernaut XL v9RunDiffusion · 2.6B 60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 41 s Slowtight fit 62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 13.6 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 72/100 (quality, fit, speed and memory use) sets the ranking. 41 s Slowtight fit 62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 13.6 min Very slow
SDXL TurboStability AI · 2.6B 39Basic quality (D) · 39 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. 1.4 s Runs great 39Basic quality (D) · 39 of 100: how capable the model is at FP8, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 25 s Runs well
FLUX.2 [klein] 9BBlack Forest Labs · 9.1B 82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 21 s Runs welltight fit · CPU offload 83Great quality (A) · 83 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 6.6 min Very slowtight fit · encoder unloaded after use
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 72/100 (quality, fit, speed and memory use) sets the ranking. 38 s Runs welltight fit 60Good quality (B) · 60 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. 12.7 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 72/100 (quality, fit, speed and memory use) sets the ranking. 38 s Runs welltight fit 60Good quality (B) · 60 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. 12.7 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 71/100 (quality, fit, speed and memory use) sets the ranking. 35 s Runs welltight fit 58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 11.5 min Very slow
MOSS-Image SFTOpenMOSS · 5.1B 76Great quality (A) · 76 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 3.0 min Very slowtight fit · encoder in RAM 81Great quality (A) · 81 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 51.2 min Very slowencoder unloaded after use
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 70/100 (quality, fit, speed and memory use) sets the ranking. 38 s Runs welltight fit 56Good quality (B) · 56 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. 12.7 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 70/100 (quality, fit, speed and memory use) sets the ranking. 69 s Slowtight fit 60Good quality (B) · 60 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. 22.7 min Very slow
ERNIE-Image TurboBaidu · 8.0B 83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 38 s Runs welltight fit · CPU offload 79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 11.6 min Very slow
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 69/100 (quality, fit, speed and memory use) sets the ranking. 41 s Slowtight fit 55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 13.6 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 69/100 (quality, fit, speed and memory use) sets the ranking. 38 s Runs wellencoder in RAM 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. 10.9 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 68/100 (quality, fit, speed and memory use) sets the ranking. 12 s Runs great 42Fair quality (C) · 42 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. 3.6 min Very slow
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 68/100 (quality, fit, speed and memory use) sets the ranking. 67 s Slowencoder in RAM 60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 19.1 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 67/100 (quality, fit, speed and memory use) sets the ranking. 12 s Runs great 40Fair quality (C) · 40 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. 3.6 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 66/100 (quality, fit, speed and memory use) sets the ranking. 16 s Runs wellencoder in RAM 50Fair quality (C) · 50 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. 4.5 min Very slowtight fit
Stable Diffusion 3.5 MediumStability AI · 2.5B 56Good quality (B) · 56 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. 58 s Slowencoder in RAM 57Good quality (B) · 57 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 20.9 min Very slow
ERNIE-ImageBaidu · 8.0B 87Excellent quality (A+) · 87 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 5.6 min Very slowtight fit · CPU offload 87Excellent quality (A+) · 87 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 80.5 min Very slowencoder unloaded after use
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 66/100 (quality, fit, speed and memory use) sets the ranking. 30 s Runs wellencoder in RAM 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. 8.5 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 66/100 (quality, fit, speed and memory use) sets the ranking. 3.4 min Very slowCPU offload 81Great quality (A) · 81 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 59.3 min Very slowtight fit
SD TurboStability AI · 0.9B 28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 0.8 s Runs great 28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. 15 s Runs well
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 65/100 (quality, fit, speed and memory use) sets the ranking. 29 s Runs wellCPU offload 65Good quality (B) · 65 of 100: how capable the model is at NF4, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 7.0 min Very slowencoder unloaded after use
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 65/100 (quality, fit, speed and memory use) sets the ranking. 12 s Runs great 35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. 3.6 min Very slow
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 64/100 (quality, fit, speed and memory use) sets the ranking. 2.5 s Runs great 30Basic quality (D) · 30 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. 45 s 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 64/100 (quality, fit, speed and memory use) sets the ranking. 2.9 min Very slowCPU offload 74Great quality (A) · 74 of 100: how capable the model is at NF4, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 42.0 min Very slowencoder unloaded after use
Stable Diffusion 3.5 Large TurboStability AI · 8.1B 60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 19 s Runs welltight fit · CPU offload 57Good quality (B) · 57 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 5.8 min Very slowtight fit
FLUX.1 Krea [dev]Black Forest Labs · 11.9B 76Great quality (A) · 76 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 3.2 min Very slowtight fit · CPU offload 76Great quality (A) · 76 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 45.8 min Very slowencoder unloaded after use
Iris-3BSperidlabs · 3.0B 72Great quality (A) · 72 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. 3.5 min Very slowCPU offload 72Great quality (A) · 72 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. 50.9 min Very slowencoder unloaded after use
Chroma1-HDLodestone Rock · 8.9B 76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. 4.0 min Very slowtight fit · CPU offload 72Great quality (A) · 72 of 100: how capable the model is at NF4, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. 66.7 min Very slowtight fit
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 62/100 (quality, fit, speed and memory use) sets the ranking. 64 s Slowtight fit · encoder in RAM 52Fair quality (C) · 52 of 100: how capable the model is at FP16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. 18.2 min Very slow
FLUX.1 Kontext [dev]Black Forest Labs · 11.9B 76Great quality (A) · 76 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 5.8 min Very slowtight fit · CPU offload 76Great quality (A) · 76 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. 84.0 min Very slowencoder unloaded after use
CogView4 6BZhipu AI · 6.4B 68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 3.6 min Very slowCPU offload 68Good quality (B) · 68 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. 51.6 min Very slowencoder unloaded after use
OmniGen2BAAI (VectorSpaceLab) · 4.0B 64Good quality (B) · 64 of 100: how capable the model is at FP8, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. 3.2 min Very slowCPU offload 64Good quality (B) · 64 of 100: how capable the model is at FP8, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 43.7 min Very slow
Stable Diffusion 3.5 LargeStability AI · 8.1B 64Good quality (B) · 64 of 100: how capable the model is at FP8, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 2.2 min Slowtight fit · CPU offload 61Good quality (B) · 61 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 40.0 min Very slowtight fit
AuraFlow v0.3fal · 6.9B 56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. 2.8 min Very slowCPU offload 57Good quality (B) · 57 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 48.8 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 56/100 (quality, fit, speed and memory use) sets the ranking. 60 s SlowCPU offload 50Fair quality (C) · 50 of 100: how capable the model is at FP8, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 13.6 min Very 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 52/100 (quality, fit, speed and memory use) sets the ranking. 2.0 min SlowCPU offload 48Fair quality (C) · 48 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. 28.6 min Very slowencoder unloaded after use
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 12/100 (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 68/100 (quality, fit, speed and memory use) sets the ranking. 88.7 min Very slowCPU offload
Krea 2 TurboKrea · 12.8B 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 90Excellent quality (A+) · 90 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. 15.3 min Very slowCPU offload
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 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
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 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
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 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
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 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
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 85Excellent quality (A+) · 85 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. 2.8 h Very slowCPU offload
Ideogram 4Ideogram · 18.6B 85Excellent quality (A+) · 85 of 100: how capable the model is at NF4, 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 NF4, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 87.5 min Very slowtight fit · encoder unloaded after use
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 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
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 83Great quality (A) · 83 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. 7.1 h Very slowCPU offload
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 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
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 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 Q8 GGUF, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. 6.0 h Very slowCPU offload
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 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 6.0 h Very slowCPU offload
HiDream-I1 FullHiDream.ai · 17.1B 78Great quality (A) · 78 of 100: how capable the model is at NF4, 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 NF4, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 2.6 h Very slowtight fit · encoder unloaded after use
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 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 62/100 (quality, fit, speed and memory use) sets the ranking. 49.3 min Very slowCPU offload
HiDream-I1 DevHiDream.ai · 17.1B 74Great quality (A) · 74 of 100: how capable the model is at NF4, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 74Great quality (A) · 74 of 100: how capable the model is at NF4, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. 59.5 min Very slowtight fit · encoder unloaded after use
HiDream-I1 FastHiDream.ai · 17.1B 70Great quality (A) · 70 of 100: how capable the model is at NF4, 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 NF4, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. 35.0 min Very slowtight fit · encoder unloaded after use

Video models

3 of 43 video models run on the Intel Arc A380. 6.0 GB usable for models.

15 of 43 video models run on the Raspberry Pi 5 (16 GB). 13.6 GB usable for models.

Model QualityArc A380 SpeedArc A380 RunsArc A380 QualityRaspberry Pi 5 SpeedRaspberry Pi 5 RunsRaspberry Pi 5
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 69/100 (quality, fit, speed and memory use) sets the ranking. 3.4 min Runs great 35Basic quality (D) · 35 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. 60.6 min Very slow
LTX-Video 2BLightricks · 1.9B 49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 5.0 min Runs wellCPU offload 49Fair quality (C) · 49 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. 68.2 min Very 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 54/100 (quality, fit, speed and memory use) sets the ranking. 11.9 min Runs wellCPU offload 44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. 2.7 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 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Kandinsky 6.0 Pro (29B, video + audio)Sber AI · 30.1B 88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
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 83Great quality (A) · 83 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. 42.6 h Very slowCPU offload
HunyuanVideo 1.5 (8.3B)Tencent · 8.3B 82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
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 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
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 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
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 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
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 78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 70.9 h Very slowtight fit · CPU offload
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 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
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 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
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 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 61/100 (quality, fit, speed and memory use) sets the ranking. 34.8 h Very slowCPU offload
Step-Video T2V (30B)StepFun · 30.0B 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Wan-Dancer 14B (music to dance)Alibaba · 17.3B 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
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 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
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 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
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 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
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 72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 23.6 h Very slowCPU offload
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 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
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 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 FP8, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 59.1 h Very slowCPU offload
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 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 9/100 (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 GGUF, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 68.0 h Very slowCPU offload
Cosmos-Predict2 14B Video2WorldNVIDIA · 14.0B 68Good quality (B) · 68 of 100: how capable the model is at FP8, whatever it runs on. Match score 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 FP8, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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 FP16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 20.4 h Very slowCPU offload
HunyuanVideo 13BTencent · 13.0B 66Good quality (B) · 66 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 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 Q4 GGUF, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
HunyuanVideo I2V 13BTencent · 13.0B 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 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
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 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
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 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
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 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
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 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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
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 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
CogVideoX 5BZhipu AI · 5.0B 53Fair quality (C) · 53 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 53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 8.6 h Very slowencoder unloaded after use
CogVideoX 5B I2VZhipu AI · 5.6B 53Fair quality (C) · 53 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 53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 8.6 h Very slowencoder unloaded after use
Wan 2.1 T2V 1.3BAlibaba · 1.3B 53Fair quality (C) · 53 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 53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. 10.9 h Very slowtight fit
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. 13.8 h Very slowencoder unloaded after use
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 7/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 50Fair quality (C) · 50 of 100: how capable the model is at FP8, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. 14.3 h Very slowencoder unloaded after use

Decision models

63 of 70 decision models run on the Intel Arc A380. 6.0 GB usable for models.

65 of 70 decision models run on the Raspberry Pi 5 (16 GB). 13.6 GB usable for models.

Model QualityArc A380 SpeedArc A380 RunsArc A380 QualityRaspberry Pi 5 SpeedRaspberry Pi 5 RunsRaspberry Pi 5
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. 87 ms Runs great 86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. 3.5 s Very 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. 87 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
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. 62 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. 2.5 s Very 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. 39 ms Runs great 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 1.5 s Very slow
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. 87 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. 3.5 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. 44 ms Runs great 76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 1.7 s Very 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. 72 ms Runs great 76Great quality (A) · 76 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. 2.8 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. 32 ms Runs great 74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 1.2 s Slow
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. 7.5 ms Runs great 78Great quality (A) · 78 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. 159 ms Runs well
mxbai-rerank-large v2Mixedbread · 1.5B 82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. 196 ms Runs well 82Great quality (A) · 82 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. 8.9 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. 85 ms Runs great 72Great quality (A) · 72 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. 3.5 s Very 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. 35 ms Runs great 72Great quality (A) · 72 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. 1.4 s Very slow
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. 74 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. 3.0 s Very 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 87/100 (quality, fit, speed and memory use) sets the ranking. 216 ms Runs well 82Great quality (A) · 82 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. 9.2 s Very slow
Qwen3 Reranker 4BAlibaba · 4.0B 89Excellent quality (A+) · 89 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. 494 ms Slow 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. 23.3 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. 25 ms Runs great 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. 932 ms Slow
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. 44 ms Runs great 70Great quality (A) · 70 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. 1.7 s Very 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. 32 ms Runs great 70Great quality (A) · 70 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. 1.2 s Slow
zerank-1 smallZeroEntropy · 1.7B 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. 219 ms Runs well 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 10.0 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 86/100 (quality, fit, speed and memory use) sets the ranking. 299 ms Runs well 84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. 13.4 s Very slow
zerank-2ZeroEntropy · 4.0B 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. 494 ms Slow 88Excellent quality (A+) · 88 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. 23.3 s Very slow
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. 34 ms Runs great 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 1.3 s Slow
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. 25 ms Runs great 68Good quality (B) · 68 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. 932 ms Slow
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. 34 ms Runs great 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 1.3 s Slow
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. 14 ms Runs great 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 443 ms Slow
Shieldstral 1.0 3BMistral AI · 3.9B 85Excellent quality (A+) · 85 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. 473 ms Slow 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. 22.3 s Very 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. 17 ms Runs great 66Good quality (B) · 66 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. 591 ms Slow
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. 30 ms Runs great 66Good quality (B) · 66 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. 1.1 s Slow
Skywork Reward V2 Qwen3 0.6BSkywork · 600M 72Great quality (A) · 72 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. 152 ms Runs well 72Great quality (A) · 72 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. 7.4 s Very slow
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. 17 ms Runs great 64Good quality (B) · 64 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 561 ms Slow
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. 19 ms Runs great 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 653 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 83/100 (quality, fit, speed and memory use) sets the ranking. 317 ms Runs well 78Great quality (A) · 78 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. 14.6 s Very slow
Qwen3Guard Gen 0.6BAlibaba · 750M 73Great quality (A) · 73 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. 126 ms Runs great 74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. 4.8 s 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. 35 ms Runs great 62Good quality (B) · 62 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. 1.4 s Very slow
LettuceDetect LargeKR Labs · 400M 66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. 103 ms Runs great 66Good quality (B) · 66 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. 5.0 s Very 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. 27 ms Runs great 60Good quality (B) · 60 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. 993 ms 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. 25 ms Runs great 62Good quality (B) · 62 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. 901 ms 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. 33 ms Runs great 56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. 1.3 s Slow
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 79/100 (quality, fit, speed and memory use) sets the ranking. 723 ms Slow 84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 28.1 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. 7.3 ms Runs great 52Fair quality (C) · 52 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. 146 ms Runs well
NuExtract 2.0 4BNuMind · 3.8B 75Great quality (A) · 75 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. 961 ms Slow 76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 20.8 s Very slow
NuExtract 2.0 2BNuMind · 2.2B 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 568 ms Slow 70Great quality (A) · 70 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. 12.2 s Very slow
WildGuard 7BAi2 · 7.3B 76Great quality (A) · 76 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. 1.1 s Slowtight fit 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. 46.1 s Very slow
ShieldGemma 2BGoogle · 2.6B 58Good quality (B) · 58 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. 330 ms Runs well 58Good quality (B) · 58 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. 15.1 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 71/100 (quality, fit, speed and memory use) sets the ranking. 6.2 s Very slow 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. 101.7 s Very slow
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 71/100 (quality, fit, speed and memory use) sets the ranking. 249 ms Runs well 56Good quality (B) · 56 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. 9.5 s Very slow
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 69/100 (quality, fit, speed and memory use) sets the ranking. 1.3 s Slowoffloads to RAM 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. 47.5 s Very slow
DynaGuard 1.7BUniversity of Maryland · 2.0B 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. 2.9 s Very 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. 48.0 s Very slow
CompassJudger-2 7BOpenCompass · 7.6B 74Great quality (A) · 74 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. 8.3 s Very slowtight fit 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. 215.1 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 65/100 (quality, fit, speed and memory use) sets the ranking. 5.6 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. 107.8 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 64/100 (quality, fit, speed and memory use) sets the ranking. 5.6 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. 107.8 s Very slow
Prometheus 2 7BPrometheus Eval · 7.2B 64Good quality (B) · 64 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. 7.9 s Very slowtight fit 68Good quality (B) · 68 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. 204.3 s Very slow
Qwen3Guard Gen 8BAlibaba · 8.2B 81Great quality (A) · 81 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. 1.3 s Slowoffloads to RAM 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. 52.1 s Very slow
Llama 3.1 Nemotron Safety Guard 8B v3NVIDIA · 8.0B 79Great quality (A) · 79 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. 1.2 s Slowoffloads to RAM 84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 51.1 s Very slow
Granite Guardian 4.1 8BIBM · 8.4B 79Great quality (A) · 79 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. 1.3 s Slowoffloads to RAM 84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. 53.3 s Very slow
Granite Guardian 3.3 8BIBM · 8.2B 76Great quality (A) · 76 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. 1.3 s Slowoffloads to RAM 80Great quality (A) · 80 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. 52.0 s Very slow
ShieldGemma 9BGoogle · 9.2B 60Good quality (B) · 60 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. 1.3 s Slowoffloads to RAM 63Good quality (B) · 63 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. 53.3 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 56/100 (quality, fit, speed and memory use) sets the ranking. 15.5 s Very slowoffloads to RAM 79Great quality (A) · 79 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. 193.8 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 55/100 (quality, fit, speed and memory use) sets the ranking. 15.2 s Very slowoffloads to RAM 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. 226.6 s Very slow
Llama Guard 3 8BMeta · 8.0B 64Good quality (B) · 64 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. 1.2 s Slowoffloads to RAM 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. 51.1 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 50/100 (quality, fit, speed and memory use) sets the ranking. 6.4 s Very slowheavy RAM offload 76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. 57.3 s Very slowover memory limit
ShieldGemma 27BGoogle · 27B 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. 6.7 s Very slowheavy RAM offload 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
Llama Guard 4 12BMeta · 12B 66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. 3.8 s Very slowheavy RAM offload 64Good quality (B) · 64 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. 73.3 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 80/100 (quality, fit, speed and memory use) sets the ranking. 92.8 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 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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. 93.6 s Very slow
CompassJudger-2 32BOpenCompass · 33B 81Great quality (A) · 81 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 11/100 (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 11/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
gpt-oss-safeguard 120BOpenAI · 117B (5.1B active) 80Great quality (A) · 80 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run 80Great quality (A) · 80 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. — Won't run
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 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 Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. 14.0 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 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 Q4_K_M, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. — Won't run

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

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