1,222 models · 1,222 open weights · 200 API-only · refreshed nightly
Open-weights models
Models whose weights are published on Hugging Face — download them and run them on your own hardware. Many are also served by hosted providers; those carry an "Also via API" badge with live prices.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 751 | TwIL-LM3 | 3.1 B | 66 K | other | 242 K | from 3.1 GB |
| 752 | h2ovl-mississippi-800m | 830 M | — | ✓ apache-2.0 | 242 K | from 2.4 GB |
| 753 | DreamShaper | — | — | other | 241 K | from 185.3 GB |
| 754 | convnext_femto.d1_in1k | 10 M | — | ✓ apache-2.0 | 241 K | from 0.5 GB |
| 755 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 240 K | from 12.1 GB |
| 756 | mit-b2 | — | — | other | 240 K | — |
| 757 | CommunityForensics-DeepfakeDet-ViT | 20 M | — | ✓ mit | 240 K | from 0.9 GB |
| 758 | Vikhr-Nemo-12B-Instruct-R-21-09-24 | 12.3 B | 1.0 M | ✓ apache-2.0 | 239 K | from 30.8 GB |
| 759 | POCKET-Darwin-180B-GGUF | 180.0 B | — | other | 239 K | from 82.3 GB |
| 760 | gemma-3-270m | 270 M | — | ⚠ gemma | 238 K | from 1.1 GB |
| 761 | s1-mini-GGUF | — | — | other | 237 K | from 1.0 GB |
| 762 | Mistral-Small-3.1-24B-Instruct-2503 | 24.0 B | — | ✓ apache-2.0 | 237 K | from 109.8 GB |
| 763 | Qwen3-1.7B | 2.0 B | 41 K | ✓ apache-2.0 | 236 K | from 5.3 GB |
| 764 | indictrans2-en-indic-dist-200M | 275 M | — | ✓ mit | 234 K | from 1.7 GB |
| 765 | POCKET-26B-GGUF | 26.0 B | — | ✓ apache-2.0 | 233 K | from 16.6 GB |
| 766 | diffusiongemma-26B-A4B-it-NVFP4 | 14.4 B | — | ✓ apache-2.0 | 232 K | from 23.4 GB |
| 767 | GLM-4.7-Flash-GGUF | — | — | ✓ mit | 232 K | from 13.0 GB |
| 768 | Qwen2.5-Math-1.5B | 1.5 B | 4 K | ✓ apache-2.0 | 231 K | from 4.1 GB |
| 769 | gpt-oss-20b-GGUF | 20.0 B | 131 K | ✓ apache-2.0 | 231 K | from 4.5 GB |
| 770 | h2ovl-mississippi-2b | 2.2 B | — | ✓ apache-2.0 | 230 K | from 5.6 GB |
| 771 | IP-Adapter-FaceID | — | — | unknown | 230 K | from 1.5 GB |
| 772 | Kimi-K2.5-NVFP4 | — | — | other | 229 K | from 650.4 GB |
| 773 | Kimi-K2-Thinking-NVFP4 | 519.1 B | 262 K | other | 229 K | from 732.0 GB |
| 774 | Llama-3.1-8B-Instruct-4bit | 1.3 B | 131 K | ⚠ llama3.1 | 228 K | from 5.7 GB |
| 775 | Llama-3.2-3B | 3.2 B | — | ⚠ llama3.2 | 228 K | from 8.0 GB |
| 776 | Spark-X2.5-1.7B-GGUF | 1.7 B | — | ✓ apache-2.0 | 227 K | from 2.0 GB |
| 777 | vlt5-base-keywords | 280 M | — | ✓ cc-by-4.0 | 227 K | from 1.8 GB |
| 778 | BiRefNet_lite | 44 M | — | ✓ mit | 226 K | from 0.7 GB |
| 779 | distilbert-multilingual-toxicity-classifier-ONNX | — | 512 | ⚠ openrail++ | 225 K | — |
| 780 | Ornith-1.5-397B | 403.4 B | — | ✓ mit | 225 K | from 948.5 GB |
| 781 | Qwen3-1.7B-GGUF | 1.7 B | 41 K | ✓ apache-2.0 | 224 K | from 1.6 GB |
| 782 | opus-mt-en-de | — | 512 | ✓ cc-by-4.0 | 224 K | — |
| 783 | gemma-2-9b-it | 9.2 B | — | ⚠ gemma | 224 K | from 22.2 GB |
| 784 | Ling-3.0-flash-GGUF | 127.5 B | 262 K | ✓ mit | 224 K | from 55.2 GB |
| 785 | resnet18.a3_in1k | 10 M | — | ✓ apache-2.0 | 224 K | from 0.6 GB |
| 786 | Qwen3-14B-Base | 14.8 B | 33 K | ✓ apache-2.0 | 224 K | from 35.2 GB |
| 787 | Qwen-Image-2.1-Lightning | 7.1 B | — | unknown | 223 K | from 1.6 GB |
| 788 | Qwen2-7B | 7.6 B | 131 K | ✓ apache-2.0 | 223 K | from 18.4 GB |
| 789 | Agents-A1-4B-Q8_0-GGUF | — | — | ✓ apache-2.0 | 223 K | from 1.2 GB |
| 790 | twitter-roberta-base-sentiment | — | 512 | unknown | 222 K | — |
| 791 | t5-3b | 2.9 B | — | ✓ apache-2.0 | 222 K | from 13.5 GB |
| 792 | Ornith-1.0-35B-FP8 | 35.1 B | — | ✓ mit | 222 K | from 47.2 GB |
| 793 | MiniMax-M2.5-NVFP4 | 116.4 B | 197 K | other | 222 K | from 171.8 GB |
| 794 | JEV-35B-NVFP4 | 35.0 B | — | ✓ apache-2.0 | 222 K | from 35.1 GB |
| 795 | Qwen2.5-72B-Instruct | 72.7 B | 33 K | other | 221 K | from 171.4 GB |
| 796 | MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF | — | — | ✓ apache-2.0 | 221 K | from 1.8 GB |
| 797 | LLaDA-8B-Instruct | 8.0 B | — | ✓ mit | 221 K | from 19.3 GB |
| 798 | GLM-4.7-Flash-AWQ-4bit | 32.1 B | 203 K | ✓ mit | 221 K | from 27.5 GB |
| 799 | Olmo-3-7B-Instruct-SFT | 7.3 B | 66 K | ✓ apache-2.0 | 220 K | from 17.7 GB |
| 800 | MegaDescriptor-B-224 | — | — | ✗ cc-by-nc-4.0 | 220 K | — |
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.