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 |
|---|---|---|---|---|---|---|
| 251 | nb-wav2vec2-1b-bokmaal-v2 | 960 M | — | ✓ apache-2.0 | 947 K | 4.9 GB |
| 252 | Ornith-1.0-35B-FP8 | 35.1 B | — | ✓ mit | 945 K | 47.2 GB |
| 253 | TinyLlama-1.1B-Chat-v1.0 | 1.1 B | 2 K | ✓ apache-2.0 | 944 K | 3.1 GB |
| 254 | PP-DocLayoutV3_safetensors | 33 M | — | ✓ apache-2.0 | 937 K | 0.7 GB |
| 255 | Wav2Vec2-large-xlsr-hindi | 316 M | — | unknown | 932 K | 1.9 GB |
| 256 | nllb-200-distilled-600M | 600 M | 1 K | ✗ cc-by-nc-4.0 | 932 K | 1.9 GB |
| 257 | Qwen3.8-27B-AP-GGUF | 27.0 B | — | ✓ apache-2.0 | 923 K | 15.1 GB |
| 258 | ThinkingCap-Qwen3.8-27B-GGUF | 27.0 B | — | other | 923 K | 21.6 GB |
| 259 | Qwen2.5-32B-Instruct-AWQ | 32.8 B | 33 K | ✓ apache-2.0 | 923 K | 26.7 GB |
| 260 | paraphrase-MiniLM-L3-v2 | 20 M | 512 | ✓ apache-2.0 | 919 K | 0.6 GB |
| 261 | Qwen-Image-2.1-FP8 | 7.1 B | — | other | 915 K | 46.7 GB |
| 262 | gpt2-large | 810 M | — | ✓ mit | 908 K | 4.2 GB |
| 263 | llmlingua-2-bert-base-multilingual-cased-meetingbank | 180 M | 512 | ✓ apache-2.0 | 905 K | 1.3 GB |
| 264 | dreamshaper-7 | 860 M | — | ⚠ creativeml-openrail-m | 902 K | 9.7 GB |
| 265 | JiRackUltra_1b | 1.8 B | 131 K | ✓ mit | 891 K | 1.8 GB |
| 266 | wav2vec2-xls-r-300m-ftspeech | 320 M | — | other | 888 K | 1.9 GB |
| 267 | gte-multilingual-base | 310 M | 8 K | ✓ apache-2.0 | 883 K | 1.2 GB |
| 268 | LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF | 24.0 B | 131 K | other | 881 K | 15.7 GB |
| 269 | distiluse-base-multilingual-cased-v2 | 130 M | 512 | ✓ apache-2.0 | 879 K | 1.1 GB |
| 270 | Sharp-Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 874 K | 1.1 GB |
| 271 | Llama-3.2-3B-Instruct | 3.2 B | — | ⚠ llama3.2 | 872 K | 8.0 GB |
| 272 | stsb-bert-tiny-safetensors | <0.1 M | 512 | unknown | 860 K | 0.5 GB |
| 273 | rorshark-vit-base | 90 M | — | ✓ apache-2.0 | 860 K | 0.9 GB |
| 274 | text2vec-base-chinese | 100 M | 512 | ✓ apache-2.0 | 855 K | 1.0 GB |
| 275 | bge-small-en-v1.5 | 30 M | 512 | unknown | 855 K | 0.6 GB |
| 276 | pubmedbert-base-embeddings | 110 M | 512 | ✓ apache-2.0 | 848 K | 1.0 GB |
| 277 | SmolLM2-135M-Instruct | 130 M | 8 K | ✓ apache-2.0 | 847 K | 0.8 GB |
| 278 | w2v-xls-r-uk | 320 M | — | ✓ apache-2.0 | 844 K | 1.9 GB |
| 279 | Qwen3-TTS-12Hz-0.6B-Base | 910 M | — | ✓ apache-2.0 | 842 K | 3.4 GB |
| 280 | nomic-embed-text-v1 | 140 M | 8 K | ✓ apache-2.0 | 836 K | 1.1 GB |
| 281 | wav2vec2-large-xlsr-53-gender-recognition-librispeech | 320 M | — | ✓ apache-2.0 | 835 K | 1.9 GB |
| 282 | Qwen3-8B-GGUF | — | — | ✓ apache-2.0 | 826 K | 6.0 GB |
| 283 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-FP8 | 31.6 B | 262 K | unknown | 820 K | 40.8 GB |
| 284 | parakeet-tdt-0.6b-v2 | 620 M | — | ✓ cc-by-4.0 | 815 K | 3.3 GB |
| 285 | Ornith-1.0-9B | <0.1 M | — | ✓ mit | 814 K | 21.2 GB |
| 286 | repeat | — | — | unknown | 812 K | 0.5 GB |
| 287 | Kokoro-82M-v1.0-ONNX | 82 M | — | ✓ apache-2.0 | 808 K | 0.7 GB |
| 288 | gemma-2-9b-it-AWQ-INT4 | 9.2 B | 8 K | ⚠ gemma | 803 K | 8.7 GB |
| 289 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 795 K | 1.1 GB |
| 290 | wide_resnet50_2.racm_in1k | 70 M | — | ✓ apache-2.0 | 795 K | 0.8 GB |
| 291 | wav2vec2-xls-r-300m-sk-cv8 | 300 M | — | ✓ apache-2.0 | 786 K | 1.2 GB |
| 292 | nb-wav2vec2-1b-nynorsk | 960 M | — | ✓ apache-2.0 | 775 K | 4.9 GB |
| 293 | Qwen2.5-Coder-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 769 K | 7.8 GB |
| 294 | Qwen-Image-2.1-Turbo-Uncensored-GGUF | 8.8 B | — | ✓ apache-2.0 | 761 K | 5.5 GB |
| 295 | ruri-v3-310m | 310 M | 8 K | ✓ apache-2.0 | 759 K | 1.9 GB |
| 296 | yolos-small | 30 M | — | ✓ apache-2.0 | 751 K | 0.6 GB |
| 297 | distil-large-v3 | 760 M | — | ✓ mit | 747 K | 5.6 GB |
| 298 | Qwen2.5-7B-Instruct-GGUF | 7.0 B | 33 K | ✓ apache-2.0 | 738 K | 4.9 GB |
| 299 | Qwen2.5-Math-PRM-7B | 7.6 B | 4 K | other | 738 K | 18.4 GB |
| 300 | e5-large-v2 | 340 M | 512 | ✓ mit | 737 K | 2.0 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.