1,213 models · 1,213 open weights · 210 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 | On Mac M4 Max · 64 GB |
|---|---|---|---|---|---|---|
| 201 | Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-GGUF | — | — | ✓ apache-2.0 | 1.1 M | 29.9 GB |
| 202 | Ornith-1.5-35B-A3B-NVFP4 | 19.5 B | — | ✓ mit | 1.1 M | 29.2 GB |
| 203 | wav2vec2-xls-r-300m-mixed | 300 M | — | unknown | 1.1 M | 1.2 GB |
| 204 | USER2-base | 149 M | 8 K | ✓ apache-2.0 | 1.1 M | 1.2 GB |
| 205 | filipino-wav2vec2-l-xls-r-300m-official | 300 M | — | ✓ apache-2.0 | 1.1 M | 1.2 GB |
| 206 | Qwen3-VL-2B-Instruct | 2.1 B | — | ✓ apache-2.0 | 1.1 M | 5.5 GB |
| 207 | wav2vec2-large-xls-r-300m-Urdu | 320 M | — | ✓ apache-2.0 | 1.1 M | 1.9 GB |
| 208 | Qwen3-Coder-30B-A3B-Instruct-FP8 | 30.5 B | 262 K | ✓ apache-2.0 | 1.1 M | 39.4 GB |
| 209 | Muse-Glimmer-30B-GGUF | — | — | ✓ apache-2.0 | 1.1 M | 12.3 GB |
| 210 | bart-large-cnn | 410 M | 1 K | ✓ mit | 1.1 M | 2.3 GB |
| 211 | MiniCPM5-2B | 2.5 B | 131 K | ✓ apache-2.0 | 1.1 M | 6.4 GB |
| 212 | bert-base-NER | 110 M | 512 | ✓ mit | 1.1 M | 1.0 GB |
| 213 | Qwen3.8-Flash-Next-Gyro-abliterated-Huihui-GGUF | — | — | other | 1.1 M | 3.5 GB |
| 214 | turn-detector | 130 M | 8 K | other | 1.1 M | 1.1 GB |
| 215 | stable-diffusion-v1-5 | 860 M | — | ⚠ creativeml-openrail-m | 1.0 M | 26.6 GB |
| 216 | Breeze-TTS-2.cpp | — | — | other | 1.0 M | 3.3 GB |
| 217 | wav2vec2-xls-r-parlaspeech-hr | 320 M | — | unknown | 1.0 M | 1.9 GB |
| 218 | animagine-xl-4.0 | 2.6 B | — | ⚠ openrail++ | 1.0 M | 23.8 GB |
| 219 | Qwen2-VL-2B-Instruct | 2.2 B | 33 K | ✓ apache-2.0 | 1.0 M | 5.7 GB |
| 220 | BiRefNet | 220 M | — | ✓ mit | 1.0 M | 1.0 GB |
| 221 | Ternary-Bonsai-27B-mlx-2bit | 2.6 B | — | ✓ apache-2.0 | 1.0 M | 10.2 GB |
| 222 | jina-embeddings-v5-omni-small | 1.6 B | — | ✗ cc-by-nc-4.0 | 1.0 M | 4.5 GB |
| 223 | e5-base-v2 | 110 M | 512 | ✓ mit | 1.0 M | 1.0 GB |
| 224 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4 | 17.8 B | 1.0 M | other | 1.0 M | 26.9 GB |
| 225 | UAE-Large-V1 | 340 M | 512 | ✓ mit | 1.0 M | 2.0 GB |
| 226 | Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.0 M | 14.2 GB |
| 227 | gemma-3-4b-it | 4.3 B | — | ⚠ gemma | 1.0 M | 10.6 GB |
| 228 | Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V11-GGUF | — | — | ✓ apache-2.0 | 1.0 M | 29.9 GB |
| 229 | Bonsai-27B-mlx-1bit | 1.7 B | — | ✓ apache-2.0 | 1.0 M | 6.4 GB |
| 230 | Qwen3.8-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.0 M | 6.4 GB |
| 231 | wav2vec2-xls-r-300m-hebrew | 320 M | — | unknown | 1.0 M | 1.9 GB |
| 232 | parakeet-ultra-gguf | — | — | ✓ cc-by-4.0 | 1,000 K | 1.0 GB |
| 233 | Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V9-GGUF | — | — | ✓ apache-2.0 | 998 K | 29.8 GB |
| 234 | Ternary-Bonsai-2-2B-gguf | 2.0 B | — | ✓ apache-2.0 | 994 K | 1.2 GB |
| 235 | Cyber-Tiel-Coder-35B-A3B-GGUF-MTP | 35.0 B | — | ✓ mit | 992 K | 19.7 GB |
| 236 | wav2vec2-xls-r-300m-cv7-turkish | 300 M | — | ✓ cc-by-4.0 | 991 K | 1.2 GB |
| 237 | VoxCPM2 | 2.3 B | — | ✓ apache-2.0 | 987 K | 5.9 GB |
| 238 | e5-small-v2 | 30 M | 512 | ✓ mit | 986 K | 0.7 GB |
| 239 | MiMo-V2.6-Distill-Qwen-9B-GGUF | 9.0 B | — | unknown | 984 K | 5.7 GB |
| 240 | sup-SimCSE-VietNamese-phobert-base | 140 M | 256 | unknown | 978 K | 1.1 GB |
| 241 | surya-ocr-2 | 690 M | — | ⚠ openrail | 975 K | 2.1 GB |
| 242 | Qwen2.5-Coder-32B-Instruct-AWQ | 32.8 B | 33 K | ✓ apache-2.0 | 972 K | 26.7 GB |
| 243 | Qwen3.8-27B-NVFP4 | 18.2 B | — | ✓ apache-2.0 | 969 K | 27.3 GB |
| 244 | vietnamese-bi-encoder | 130 M | 256 | ✓ apache-2.0 | 968 K | 1.1 GB |
| 245 | LaBSE | 470 M | 512 | ✓ apache-2.0 | 965 K | 2.6 GB |
| 246 | InternVL2-1B | 940 M | — | ✓ mit | 964 K | 2.7 GB |
| 247 | Z-Image-Turbo-GGUF | 6.2 B | — | ✓ apache-2.0 | 963 K | 4.0 GB |
| 248 | 1 | — | 2 K | unknown | 963 K | 0.5 GB |
| 249 | e5-base | 110 M | 512 | ✓ mit | 953 K | 1.0 GB |
| 250 | Tess-4.5-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 952 K | 5.6 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.