1,023 models · refreshed nightly
All models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 851 | Qwen2.5-7B-Instruct-bnb-4bit | 7.8 B | 33 K | ✓ apache-2.0 | 170 K | from 7.8 GB |
| 852 | TinyLlama-1.1B-Chat-v0.3-AWQ | 1.1 B | 2 K | ✓ apache-2.0 | 169 K | from 1.5 GB |
| 853 | Meta-Llama-3-8B-Instruct | 8.0 B | 8 K | other | 169 K | from 19.4 GB |
| 854 | DeepSeek-V3.2-AWQ | 685.4 B | 164 K | ✓ mit | 168 K | from 501.4 GB |
| 855 | NVIDIA-Nemotron-3-Super-120B-A12B-AWQ-4bit | 127.2 B | 262 K | other | 168 K | from 108.3 GB |
| 856 | Gemma-4-26B-A4B-it-NVFP4 | 15.1 B | — | ✓ apache-2.0 | 168 K | from 20.8 GB |
| 857 | Meta-Llama-3.1-8B-Instruct-AWQ-INT4 | 8.0 B | 131 K | ⚠ llama3.1 | 167 K | from 8.0 GB |
| 858 | Qwen3-30B-A3B-GPTQ-Int4 | 30.5 B | 41 K | ✓ apache-2.0 | 167 K | from 23.7 GB |
| 859 | GLM-4.5-Air-FP8 | 110.5 B | 131 K | ✓ mit | 167 K | from 140.9 GB |
| 860 | Agents-A1-4B | 4.5 B | — | ✓ apache-2.0 | 167 K | from 11.2 GB |
| 861 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 167 K | from 4.1 GB |
| 862 | RnJ-1-Instruct-FP8 | 8.8 B | 33 K | ⚠ gemma | 164 K | from 15.0 GB |
| 863 | Qwen3-235B-A22B-FP8 | 235.1 B | 41 K | ✓ apache-2.0 | 163 K | from 298.7 GB |
| 864 | Qwen3.5-122B-A10B-NVFP4 | 64.4 B | — | ✓ apache-2.0 | 162 K | from 101.3 GB |
| 865 | Llama-3.2-1B-Instruct-GGUF | — | — | ⚠ llama3.2 | 162 K | from 1.2 GB |
| 866 | Phi-3.5-MoE-instruct | 41.9 B | 131 K | ✓ mit | 161 K | from 98.9 GB |
| 867 | Qwen3-4B-Instruct-2507-NVFP4 | 2.8 B | 262 K | ✓ apache-2.0 | 161 K | from 4.9 GB |
| 868 | stable-diffusion-xl-1.0-inpainting-0.1 | 2.6 B | — | ⚠ openrail++ | 155 K | from 23.8 GB |
| 869 | opus-mt-tc-big-en-tr | — | 1 K | ✓ cc-by-4.0 | 154 K | — |
| 870 | opus-mt-tc-big-tr-en | 230 M | 1 K | ✓ cc-by-4.0 | 154 K | from 1.1 GB |
| 871 | animagine-xl-3.1 | 2.6 B | — | ⚠ openrail++ | 153 K | from 16.1 GB |
| 872 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 151 K | from 8.5 GB |
| 873 | financial-summarization-pegasus | 570 M | 512 | unknown | 148 K | from 3.1 GB |
| 874 | dreamshaper-8 | 860 M | — | ⚠ creativeml-openrail-m | 142 K | from 9.7 GB |
| 875 | opus-mt-en-es | — | 512 | ✓ apache-2.0 | 140 K | — |
| 876 | one-obsession-17-red-sdxl | 2.6 B | — | other | 140 K | from 8.5 GB |
| 877 | Hunyuan-MT-7B-GGUF | — | — | unknown | 137 K | from 3.1 GB |
| 878 | opus-mt-it-en | — | 512 | ✓ apache-2.0 | 136 K | — |
| 879 | amanatsu-illustrious-v11-sdxl | 2.6 B | — | other | 135 K | from 8.5 GB |
| 880 | opus-mt-ar-en | — | 512 | ✓ apache-2.0 | 130 K | — |
| 881 | juggernaut-reborn | — | — | ⚠ creativeml-openrail-m | 129 K | — |
| 882 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 128 K | from 3.5 GB |
| 883 | bart-large-cnn-samsum | — | 1 K | ✓ mit | 128 K | — |
| 884 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 126 K | from 4.9 GB |
| 885 | Krea-2-Raw | 12.8 B | — | other | 121 K | from 70.6 GB |
| 886 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 119 K | from 10.4 GB |
| 887 | FLUX.1-dev-gguf | — | — | other | 109 K | from 4.9 GB |
| 888 | opus-mt-da-en | — | 512 | ✓ apache-2.0 | 108 K | — |
| 889 | Krea-2-Turbo | 12.8 B | — | other | 108 K | from 70.6 GB |
| 890 | envit5-translation | — | — | ⚠ openrail | 106 K | — |
| 891 | opus-mt-en-zh | — | 512 | ✓ apache-2.0 | 100 K | — |
| 892 | dreamshaper-xl-lightning | 2.6 B | — | ⚠ openrail++ | 100 K | from 39.0 GB |
| 893 | SDXL-Lightning | — | — | ⚠ openrail++ | 99 K | from 54.9 GB |
| 894 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 97 K | from 6.2 GB |
| 895 | Hy-MT2-1.8B | 2.0 B | 262 K | ✓ apache-2.0 | 96 K | from 5.3 GB |
| 896 | Hy-MT2-30B-A3B | 30.1 B | 262 K | ✓ apache-2.0 | 95 K | from 71.2 GB |
| 897 | TowerInstruct-13B-v0.1 | 13.0 B | 4 K | ✗ cc-by-nc-4.0 | 94 K | from 59.7 GB |
| 898 | stable-diffusion-v1-5 | 860 M | — | unknown | 92 K | from 8.3 GB |
| 899 | stable-diffusion-3.5-medium | 2.5 B | — | other | 91 K | from 54.6 GB |
| 900 | RealVisXL_V4.0 | 2.6 B | — | ⚠ openrail++ | 90 K | from 31.4 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.