1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
All models
Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 801 | twitter-xlm-roberta-base-sentiment-multilingual | — | 512 | unknown | 230 K | — |
| 802 | h2ovl-mississippi-2b | 2.2 B | — | ✓ apache-2.0 | 230 K | from 5.6 GB |
| 803 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 229 K | from 3.5 GB |
| 804 | h2o-danube3-500m-chat | 514 M | 8 K | ✓ apache-2.0 | 229 K | from 1.7 GB |
| 805 | Llama-3.1-8B-Instruct-4bit | 1.3 B | 131 K | ⚠ llama3.1 | 228 K | from 5.7 GB |
| 806 | GaMS3-12B-Instruct | 11.8 B | 131 K | ⚠ gemma | 226 K | from 28.2 GB |
| 807 | koelectra-sentiment-v1 | — | 512 | unknown | 225 K | — |
| 808 | ftrobertallm | 355 M | 512 | ✓ mit | 225 K | from 2.1 GB |
| 809 | prompt-saturation-attack-detector | 4.4 M | 512 | unknown | 225 K | from 0.5 GB |
| 810 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 225 K | from 12.1 GB |
| 811 | Z-Image-GGUF | 6.2 B | — | ✓ apache-2.0 | 224 K | from 4.0 GB |
| 812 | TinyStories-1M | 1.0 M | 2 K | unknown | 224 K | from 0.5 GB |
| 813 | Qwen3-14B-Base | 14.8 B | 33 K | ✓ apache-2.0 | 224 K | from 35.2 GB |
| 814 | RealVisXL_V4.0 | 2.6 B | — | ⚠ openrail++ | 223 K | from 31.4 GB |
| 815 | Qwen3-32B-AWQ | 32.8 B | 41 K | ✓ apache-2.0 | 222 K | from 26.7 GB |
| 816 | OpenMed-NER-BloodCancerDetect-TinyMed-65M | 65 M | 512 | ✓ apache-2.0 | 222 K | from 0.7 GB |
| 817 | OpenMed-NER-ChemicalDetect-ModernMed-149M | 150 M | 8 K | ✓ apache-2.0 | 222 K | from 0.9 GB |
| 818 | MiniMax-M2.5-NVFP4 | 116.4 B | 197 K | other | 222 K | from 171.8 GB |
| 819 | LLaDA-8B-Instruct | 8.0 B | — | ✓ mit | 221 K | from 19.3 GB |
| 820 | long-t5-tglobal-base-sci-simplify | 248 M | — | ✓ apache-2.0 | 221 K | from 1.6 GB |
| 821 | GLM-4.7-Flash-AWQ-4bit | 32.1 B | 203 K | ✓ mit | 221 K | from 27.5 GB |
| 822 | Olmo-3-7B-Instruct-SFT | 7.3 B | 66 K | ✓ apache-2.0 | 220 K | from 17.7 GB |
| 823 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF | 30.0 B | 262 K | other | 220 K | from 25.8 GB |
| 824 | orcarouter_GLM-5.3-Flash-Uncensored-GGUF | 321.3 B | — | ✓ mit | 220 K | from 49.9 GB |
| 825 | vlt5-base-keywords | 280 M | — | ✓ cc-by-4.0 | 220 K | from 1.8 GB |
| 826 | Qwen3-0.6B-GGUF | 600 M | 41 K | ✓ apache-2.0 | 220 K | from 1.3 GB |
| 827 | OpenMed-NER-PharmaDetect-BigMed-278M | 278 M | 512 | ✓ apache-2.0 | 219 K | from 1.2 GB |
| 828 | automotive | 34.7 B | — | ✓ apache-2.0 | 219 K | from 29.0 GB |
| 829 | DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | 1.3 B | 131 K | ✓ mit | 218 K | from 5.8 GB |
| 830 | Llama-3.1-Nemotron-Nano-8B-v1 | 8.0 B | 131 K | other | 218 K | from 19.4 GB |
| 831 | Ornith-1.5-9B-MLX-6bit | 9.0 B | — | unknown | 218 K | from 9.8 GB |
| 832 | SmolLM2-360M-Instruct | 360 M | 8 K | ✓ apache-2.0 | 218 K | from 1.4 GB |
| 833 | sarvam-30b | 32.2 B | 131 K | ✓ apache-2.0 | 217 K | from 146.8 GB |
| 834 | Qwen2.5-Coder-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 216 K | from 13.7 GB |
| 835 | bertweet-base-sentiment-analysis | — | 128 | unknown | 216 K | — |
| 836 | Gemma-4-E4B-DECKARD-HERETIC-NVFP4 | 6.2 B | — | ⚠ gemma | 216 K | from 12.6 GB |
| 837 | TinyLLama-v0 | <0.1 M | 2 K | ✓ apache-2.0 | 215 K | from 0.5 GB |
| 838 | qwen3-4b-base-dapo-v4 | 4.0 B | 33 K | ✓ apache-2.0 | 215 K | from 10.0 GB |
| 839 | Realistic_Vision_V5.1_noVAE | 860 M | — | ⚠ creativeml-openrail-m | 215 K | from 19.4 GB |
| 840 | OpenMed-NER-DiseaseDetect-BioMed-335M | 334 M | 512 | ✓ apache-2.0 | 214 K | from 1.3 GB |
| 841 | SmolLM3-3B-Base | 3.1 B | 66 K | ✓ apache-2.0 | 213 K | from 7.7 GB |
| 842 | Parable-Qwen3-4B-Claude-Fable-5-GGUF | 4.0 B | 41 K | ✓ apache-2.0 | 213 K | from 3.8 GB |
| 843 | Parable-Qwen3-8B-Claude-Fable-5-GGUF | 8.0 B | 41 K | ✓ apache-2.0 | 212 K | from 7.2 GB |
| 844 | OTel-LLM-27B-IT | 27.0 B | — | ✓ apache-2.0 | 212 K | from 64.0 GB |
| 845 | resnet-50 | 30 M | — | ✓ apache-2.0 | 212 K | from 0.6 GB |
| 846 | MiniCPM5-2B-MLX | 2.5 B | 131 K | ✓ apache-2.0 | 212 K | from 2.4 GB |
| 847 | wildguard | 7.3 B | — | ✓ apache-2.0 | 211 K | from 17.5 GB |
| 848 | Qwen3Guard-Gen-0.6B | 750 M | 33 K | ✓ apache-2.0 | 211 K | from 2.3 GB |
| 849 | Ornith-1.0-35B-AEON-Ultimate-Uncensored-BF16 | 35.1 B | — | ✓ mit | 211 K | from 83.0 GB |
| 850 | Llama-2-7b-hf | 6.7 B | — | ⚠ llama2 | 211 K | from 16.3 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.