1,226 models · 1,226 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 |
|---|---|---|---|---|---|---|
| 151 | Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF | 9.0 B | — | ✓ apache-2.0 | 1.8 M | from 7.3 GB |
| 152 | Qwen3-Embedding-4B | 4.0 B | 41 K | ✓ apache-2.0 | 1.8 M | from 10.0 GB |
| 153 | chatterbox | — | — | ✓ mit | 1.8 M | from 12.2 GB |
| 154 | wav2vec2-base-960h | 90 M | — | ✓ apache-2.0 | 1.8 M | from 0.9 GB |
| 155 | Mistral-7B-Instruct-v0.2 | 7.2 B | 33 K | ✓ apache-2.0 | 1.7 M | from 17.5 GB |
| 156 | wav2vec2-large-voxrex-swedish | 320 M | — | ✓ cc0-1.0 | 1.7 M | from 1.9 GB |
| 157 | gte-large-en-v1.5 | 430 M | 8 K | ✓ apache-2.0 | 1.7 M | from 2.5 GB |
| 158 | Qwen2.5-VL-7B-Instruct-AWQ | 8.3 B | 128 K | ✓ apache-2.0 | 1.7 M | from 9.4 GB |
| 159 | distilgpt2 | 90 M | — | ✓ apache-2.0 | 1.7 M | from 0.9 GB |
| 160 | Qwen2.5-VL-3B-Instruct | 3.8 B | 128 K | unknown | 1.7 M | from 9.3 GB |
| 161 | Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.7 M | from 17.9 GB |
| 162 | Qwen2.5-Coder-14B-Instruct | 14.8 B | 33 K | ✓ apache-2.0 | 1.7 M | from 35.2 GB |
| 163 | Qwen3.5-27B | 27.8 B | — | ✓ apache-2.0 | 1.7 M | from 65.8 GB |
| 164 | faster-whisper-base | — | — | ✓ mit | 1.7 M | — |
| 165 | multilingual-e5-large-instruct | 560 M | 512 | ✓ mit | 1.7 M | from 1.8 GB |
| 166 | whisper-base | 70 M | — | ✓ apache-2.0 | 1.6 M | from 0.8 GB |
| 167 | nsfw_image_detection | 90 M | — | ✓ apache-2.0 | 1.6 M | from 0.9 GB |
| 168 | romanian-wav2vec2 | 320 M | — | ✓ apache-2.0 | 1.6 M | from 1.9 GB |
| 169 | bge-small-en-v1.5-onnx-Q | — | 512 | ✓ mit | 1.6 M | — |
| 170 | all-MiniLM-L6-v2-onnx | — | 512 | ✓ apache-2.0 | 1.6 M | — |
| 171 | jina-embeddings-v3 | 570 M | 8 K | ✗ cc-by-nc-4.0 | 1.6 M | from 1.8 GB |
| 172 | Qwen2.5-VL-7B-Instruct-NVFP4 | 5.0 B | 128 K | other | 1.6 M | from 9.2 GB |
| 173 | nomic-embed-text-v1 | 140 M | 8 K | ✓ apache-2.0 | 1.5 M | from 1.1 GB |
| 174 | wav2vec2-large-xlsr-53-th | — | — | cc-by-sa-4.0 | 1.5 M | — |
| 175 | Ornith-1.0-35B-GGUF | — | — | ✓ mit | 1.5 M | from 23.8 GB |
| 176 | Qwen-Image-2.1-GGUF | 7.1 B | — | other | 1.5 M | from 4.3 GB |
| 177 | gemma-4-12b-it-GGUF | 12.0 B | — | ✓ apache-2.0 | 1.5 M | from 7.9 GB |
| 178 | Qwen2-VL-7B-Instruct-AWQ | 8.3 B | 33 K | ✓ apache-2.0 | 1.5 M | from 9.4 GB |
| 179 | DeepSeek-V4.1-Flash | 763.2 B | — | ✓ mit | 1.5 M | from 676.3 GB |
| 180 | wav2vec2-xls-r-300m-cs-250 | 320 M | — | ✓ apache-2.0 | 1.5 M | from 1.9 GB |
| 181 | wav2vec2-large-xlsr-53-telugu | — | — | ✓ apache-2.0 | 1.5 M | — |
| 182 | Qwen2.5-Coder-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 1.5 M | from 18.4 GB |
| 183 | multi-qa-mpnet-base-dot-v1 | 110 M | 512 | unknown | 1.5 M | from 1.0 GB |
| 184 | resnet50.a1_in1k | 30 M | — | ✓ apache-2.0 | 1.4 M | from 0.6 GB |
| 185 | SmolVLM2-500M-Video-Instruct | 510 M | — | ✓ apache-2.0 | 1.4 M | from 2.8 GB |
| 186 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.4 M | from 1.1 GB |
| 187 | filipino-wav2vec2-l-xls-r-300m-official | 300 M | — | ✓ apache-2.0 | 1.4 M | from 1.2 GB |
| 188 | wav2vec2-large-xls-r-300m-Urdu | 320 M | — | ✓ apache-2.0 | 1.4 M | from 1.9 GB |
| 189 | wav2vec2-large-xlsr-53-finnish | — | — | ✓ apache-2.0 | 1.4 M | — |
| 190 | Inkling | 952.4 B | — | ✓ apache-2.0 | 1.4 M | from 2,238.6 GB |
| 191 | surya-ocr-2 | 690 M | — | ⚠ openrail | 1.4 M | from 2.1 GB |
| 192 | Qwen3.5-35B-A3B | 36.0 B | — | ✓ apache-2.0 | 1.4 M | from 85.0 GB |
| 193 | VieNeu-TTS-v3-Turbo | 131 M | 1 K | ✓ apache-2.0 | 1.4 M | from 0.7 GB |
| 194 | paraphrase-MiniLM-L6-v2 | 20 M | 512 | ✓ apache-2.0 | 1.4 M | from 0.6 GB |
| 195 | DeepSeek-R1 | 684.5 B | 164 K | ✓ mit | 1.4 M | from 860.6 GB |
| 196 | Ornith-1.0-35B | <0.1 M | — | ✓ mit | 1.4 M | from 77.7 GB |
| 197 | SapBERT-from-PubMedBERT-fulltext | 110 M | 512 | ✓ apache-2.0 | 1.4 M | from 1.0 GB |
| 198 | pythia-70m-deduped | 100 M | 2 K | ✓ apache-2.0 | 1.4 M | from 0.7 GB |
| 199 | wav2vec2-xls-r-300m-mixed | 300 M | — | unknown | 1.4 M | from 1.2 GB |
| 200 | stanford-deidentifier-base | — | 512 | ✓ mit | 1.4 M | — |
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.