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 |
|---|---|---|---|---|---|---|
| 751 | SDXL-Lightning | — | — | ⚠ openrail++ | 256 K | from 54.9 GB |
| 752 | FinancialBERT-Sentiment-Analysis | — | 512 | unknown | 253 K | — |
| 753 | Qwen-Image-2.1 | 7.1 B | — | other | 253 K | from 38.0 GB |
| 754 | twitter-roberta-base-sentiment | — | 512 | unknown | 253 K | — |
| 755 | Llama-3.2-3B-Instruct-GGUF | — | 131 K | ⚠ llama3.2 | 253 K | from 2.0 GB |
| 756 | Qwen2.5-72B-Instruct-AWQ | 73.0 B | 33 K | other | 252 K | from 57.2 GB |
| 757 | droplychee-1.0-27b | 27.8 B | — | ✓ apache-2.0 | 252 K | from 65.8 GB |
| 758 | qwen3.8-flash-next-gguf | 180.0 B | — | other | 251 K | from 189.4 GB |
| 759 | Qwen2.5-1.5B-apeach | 1.5 B | 131 K | unknown | 251 K | from 7.5 GB |
| 760 | Spark-X2.5-1.7B-GGUF | 1.7 B | — | ✓ apache-2.0 | 251 K | from 2.0 GB |
| 761 | MegaDescriptor-L-384 | — | — | ✗ cc-by-nc-4.0 | 249 K | — |
| 762 | Ling-3.0-tiny-GGUF | — | 131 K | ✓ mit | 248 K | from 2.4 GB |
| 763 | bert-finetuned-japanese-sentiment | — | 512 | cc-by-sa-4.0 | 248 K | — |
| 764 | Hy3-GGUF | — | — | ✓ apache-2.0 | 248 K | from 52.9 GB |
| 765 | Ling-3.0-flash-GGUF | 127.5 B | 262 K | ✓ mit | 247 K | from 55.2 GB |
| 766 | Z-Image-Turbo-GGUF | — | — | ✓ apache-2.0 | 247 K | from 3.4 GB |
| 767 | FLUX.1-dev-gguf | — | — | other | 247 K | from 4.9 GB |
| 768 | Qwen-Image-Lightning | 20.4 B | — | ✓ apache-2.0 | 246 K | from 75.6 GB |
| 769 | xlm-roberta-large-ner-hrl | 560 M | 512 | ✓ afl-3.0 | 246 K | from 3.0 GB |
| 770 | Kimi-K2-Thinking-NVFP4 | 519.1 B | 262 K | other | 245 K | from 732.0 GB |
| 771 | DeepSeek-V4-Flash-GGUF | — | — | ✓ mit | 245 K | from 44.1 GB |
| 772 | OTel-LLM-8B-A1B-IT | — | 128 K | ✓ apache-2.0 | 245 K | — |
| 773 | indictrans2-en-indic-dist-200M | 275 M | — | ✓ mit | 244 K | from 1.7 GB |
| 774 | mmarco-mMiniLMv2-L6-H384-v1 | — | 512 | unknown | 244 K | — |
| 775 | h2ovl-mississippi-800m | 830 M | — | ✓ apache-2.0 | 242 K | from 2.4 GB |
| 776 | Ornith-1.5-397B | 403.4 B | — | ✓ mit | 242 K | from 948.5 GB |
| 777 | cryptobert | 120 M | 512 | ✓ mit | 241 K | from 1.1 GB |
| 778 | gliner_large-v2 | 460 M | — | ✓ apache-2.0 | 240 K | from 2.6 GB |
| 779 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 240 K | from 12.1 GB |
| 780 | Phi-3-mini-128k-instruct | 3.8 B | 131 K | ✓ mit | 239 K | from 9.5 GB |
| 781 | Vikhr-Nemo-12B-Instruct-R-21-09-24 | 12.3 B | 1.0 M | ✓ apache-2.0 | 239 K | from 30.8 GB |
| 782 | s1-mini-GGUF | — | — | other | 239 K | from 1.0 GB |
| 783 | Qwen2-0.5B-Instruct | 490 M | 33 K | ✓ apache-2.0 | 238 K | from 1.7 GB |
| 784 | Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 238 K | from 19.4 GB |
| 785 | gemma-3-270m | 270 M | — | ⚠ gemma | 238 K | from 1.1 GB |
| 786 | SmolLM-135M-Instruct-FP32 | 135 M | 2 K | unknown | 238 K | from 1.1 GB |
| 787 | GLM-5.3-NVFP4 | 753.3 B | 1.0 M | other | 237 K | from 624.1 GB |
| 788 | MiniCPM5-1B | 1.1 B | 131 K | ✓ apache-2.0 | 236 K | from 3.0 GB |
| 789 | nsfw-classifier | 90 M | — | ✗ cc-by-nc-nd-4.0 | 236 K | from 0.9 GB |
| 790 | POCKET-26B-GGUF | 26.0 B | — | ✓ apache-2.0 | 234 K | from 16.6 GB |
| 791 | rtdetr_r50vd | 40 M | — | ✓ apache-2.0 | 234 K | from 0.7 GB |
| 792 | roberta-large-mnli | 360 M | 512 | ✓ mit | 234 K | from 2.1 GB |
| 793 | Llama-3.2-3B-Instruct-FP8-dynamic | 3.6 B | 131 K | ⚠ llama3.2 | 233 K | from 5.9 GB |
| 794 | granite-3.3-2b-instruct | 2.5 B | 131 K | ✓ apache-2.0 | 233 K | from 6.5 GB |
| 795 | Ornith-1.0-35B-FP8 | 35.1 B | — | ✓ mit | 233 K | from 47.2 GB |
| 796 | opus-mt-en-de | — | 512 | ✓ cc-by-4.0 | 233 K | — |
| 797 | diffusiongemma-26B-A4B-it-NVFP4 | 14.4 B | — | ✓ apache-2.0 | 232 K | from 23.4 GB |
| 798 | resnet18.a3_in1k | 10 M | — | ✓ apache-2.0 | 231 K | from 0.6 GB |
| 799 | t5-3b | 2.9 B | — | ✓ apache-2.0 | 230 K | from 13.5 GB |
| 800 | t5-large | 740 M | — | ✓ apache-2.0 | 230 K | from 3.9 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.