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 |
|---|---|---|---|---|---|---|
| 151 | ast-finetuned-audioset-10-10-0.4593 | 90 M | — | ✓ bsd-3-clause | 1.9 M | from 0.9 GB |
| 152 | Qwen3-VL-8B-Instruct-GGUF | 8.0 B | — | ✓ apache-2.0 | 1.9 M | from 7.2 GB |
| 153 | NVIDIA-Nemotron-3-Nano-4B-BF16 | 4.0 B | 262 K | other | 1.9 M | from 9.8 GB |
| 154 | wav2vec2-large-xlsr-53-chinese-zh-cn | — | — | ✓ apache-2.0 | 1.9 M | — |
| 155 | paraphrase-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 1.9 M | from 1.0 GB |
| 156 | Qwen3.5-9B-GGUF | — | — | ✓ apache-2.0 | 1.8 M | from 5.2 GB |
| 157 | wav2vec2-base-960h | 90 M | — | ✓ apache-2.0 | 1.8 M | from 0.9 GB |
| 158 | SmolVLM2-500M-Video-Instruct | 510 M | — | ✓ apache-2.0 | 1.8 M | from 2.8 GB |
| 159 | Qwen3-14B-AWQ | 14.8 B | 41 K | ✓ apache-2.0 | 1.8 M | from 13.7 GB |
| 160 | DeepSeek-V4.1-Flash | 763.2 B | — | ✓ mit | 1.8 M | from 676.3 GB |
| 161 | multilingual-e5-large-instruct | 560 M | 512 | ✓ mit | 1.7 M | from 1.8 GB |
| 162 | Inkling | 952.4 B | — | ✓ apache-2.0 | 1.7 M | from 2,238.6 GB |
| 163 | Gemma-4-26B-A4B-NVFP4 | 14.4 B | — | ✓ apache-2.0 | 1.7 M | from 23.3 GB |
| 164 | wav2vec2-indonesian-javanese-sundanese | — | — | ✓ apache-2.0 | 1.7 M | — |
| 165 | Qwen2.5-VL-3B-Instruct | 3.8 B | 128 K | unknown | 1.7 M | from 9.3 GB |
| 166 | Qwen3-ASR-1.7B | 2.4 B | — | ✓ apache-2.0 | 1.7 M | from 6.0 GB |
| 167 | wav2vec2-large-xlsr-53-hungarian | — | — | ✓ apache-2.0 | 1.7 M | — |
| 168 | Qwen3.8-Flash-Next-GGUF | 180.0 B | — | other | 1.7 M | from 30.6 GB |
| 169 | Prompt-Guard-86M | 280 M | — | ⚠ llama3.1 | 1.7 M | from 1.8 GB |
| 170 | Qwen3.5-27B | 27.8 B | — | ✓ apache-2.0 | 1.7 M | from 65.8 GB |
| 171 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.7 M | from 1.1 GB |
| 172 | JEV-35B | 36.0 B | — | ✓ apache-2.0 | 1.7 M | from 85.0 GB |
| 173 | resnet50.a1_in1k | 30 M | — | ✓ apache-2.0 | 1.6 M | from 0.6 GB |
| 174 | Qwen2.5-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 1.6 M | from 7.8 GB |
| 175 | Ternary-Bonsai-2-27B-gguf | 27.0 B | — | ✓ apache-2.0 | 1.6 M | from 5.2 GB |
| 176 | Qwen3.6-35B-A3B-GGUF | — | — | ✓ apache-2.0 | 1.6 M | from 11.6 GB |
| 177 | nsfw_image_detection | 90 M | — | ✓ apache-2.0 | 1.6 M | from 0.9 GB |
| 178 | Qwen-Image-2.1-GGUF | 7.1 B | — | other | 1.6 M | from 4.3 GB |
| 179 | Qwen3-Coder-30B-A3B-Instruct | 30.5 B | 262 K | ✓ apache-2.0 | 1.6 M | from 72.3 GB |
| 180 | Qwen3-8B-AWQ | 8.2 B | 41 K | ✓ apache-2.0 | 1.6 M | from 8.4 GB |
| 181 | DeepSeek-R1 | 684.5 B | 164 K | ✓ mit | 1.6 M | from 860.6 GB |
| 182 | faster-whisper-large-v3 | — | — | ✓ mit | 1.6 M | — |
| 183 | Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF | 27.0 B | — | other | 1.6 M | from 4.6 GB |
| 184 | all-MiniLM-L6-v2-onnx | — | 512 | ✓ apache-2.0 | 1.6 M | — |
| 185 | Qwen3.5-35B-A3B | 36.0 B | — | ✓ apache-2.0 | 1.6 M | from 85.0 GB |
| 186 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | 31.6 B | 262 K | other | 1.6 M | from 74.7 GB |
| 187 | kokoro-inno-clone-tuner | 9.7 M | — | ✓ apache-2.0 | 1.6 M | from 0.5 GB |
| 188 | JEV-27B-VL | 27.8 B | — | ✓ apache-2.0 | 1.6 M | from 66.3 GB |
| 189 | Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.5 M | from 17.9 GB |
| 190 | Qwen3.5-4B-GGUF | — | — | ✓ apache-2.0 | 1.5 M | from 2.8 GB |
| 191 | paraphrase-MiniLM-L6-v2 | 20 M | 512 | ✓ apache-2.0 | 1.5 M | from 0.6 GB |
| 192 | Qwen3-VL-8B-Instruct-FP8 | 8.8 B | — | ✓ apache-2.0 | 1.5 M | from 13.5 GB |
| 193 | Ornith-1.0-35B-GGUF | — | — | ✓ mit | 1.5 M | from 23.8 GB |
| 194 | DeepSeek-V3 | 684.5 B | 164 K | unknown | 1.5 M | from 860.6 GB |
| 195 | Qwen3-4B-Instruct-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 1.5 M | from 6.9 GB |
| 196 | distilgpt2 | 90 M | — | ✓ apache-2.0 | 1.5 M | from 0.9 GB |
| 197 | Ornith-1.0-35B | <0.1 M | — | ✓ mit | 1.5 M | from 77.7 GB |
| 198 | stanford-deidentifier-base | — | 512 | ✓ mit | 1.5 M | — |
| 199 | jina-embeddings-v3 | 570 M | 8 K | ✗ cc-by-nc-4.0 | 1.5 M | from 1.8 GB |
| 200 | multi-qa-mpnet-base-dot-v1 | 110 M | 512 | unknown | 1.5 M | from 1.0 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.