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 |
|---|---|---|---|---|---|---|
| 351 | wav2vec2-xls-r-300m-ftspeech | 320 M | — | other | 888 K | from 1.9 GB |
| 352 | gte-multilingual-base | 310 M | 8 K | ✓ apache-2.0 | 883 K | from 1.2 GB |
| 353 | LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF | 24.0 B | 131 K | other | 881 K | from 15.7 GB |
| 354 | GLM-5.1 | 753.9 B | 203 K | ✓ mit | 879 K | from 1,772.1 GB |
| 355 | distiluse-base-multilingual-cased-v2 | 130 M | 512 | ✓ apache-2.0 | 879 K | from 1.1 GB |
| 356 | Sharp-Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 874 K | from 1.1 GB |
| 357 | Llama-3.2-3B-Instruct | 3.2 B | — | ⚠ llama3.2 | 872 K | from 8.0 GB |
| 358 | Ornith-1.5-122B-GGUF | 122.0 B | — | ✓ mit | 871 K | from 102.2 GB |
| 359 | stsb-bert-tiny-safetensors | <0.1 M | 512 | unknown | 860 K | from 0.5 GB |
| 360 | Laguna-XS.2 | 33.4 B | 262 K | ✓ apache-2.0 | 860 K | from 79.1 GB |
| 361 | rorshark-vit-base | 90 M | — | ✓ apache-2.0 | 860 K | from 0.9 GB |
| 362 | Kimi-K3 | 2,779.9 B | — | other | 856 K | from 2,134.5 GB |
| 363 | text2vec-base-chinese | 100 M | 512 | ✓ apache-2.0 | 855 K | from 1.0 GB |
| 364 | bge-small-en-v1.5 | 30 M | 512 | unknown | 855 K | from 0.6 GB |
| 365 | pubmedbert-base-embeddings | 110 M | 512 | ✓ apache-2.0 | 848 K | from 1.0 GB |
| 366 | SmolLM2-135M-Instruct | 130 M | 8 K | ✓ apache-2.0 | 847 K | from 0.8 GB |
| 367 | w2v-xls-r-uk | 320 M | — | ✓ apache-2.0 | 844 K | from 1.9 GB |
| 368 | Qwen3-TTS-12Hz-0.6B-Base | 910 M | — | ✓ apache-2.0 | 842 K | from 3.4 GB |
| 369 | Qwen3.5-397B-A17B | 403.4 B | — | ✓ apache-2.0 | 837 K | from 948.5 GB |
| 370 | nomic-embed-text-v1 | 140 M | 8 K | ✓ apache-2.0 | 836 K | from 1.1 GB |
| 371 | wav2vec2-large-xlsr-53-gender-recognition-librispeech | 320 M | — | ✓ apache-2.0 | 835 K | from 1.9 GB |
| 372 | fasttext-language-identification | — | — | ✗ cc-by-nc-4.0 | 830 K | — |
| 373 | Qwen3-8B-GGUF | — | — | ✓ apache-2.0 | 826 K | from 6.0 GB |
| 374 | Laguna-M.1 | 225.8 B | 262 K | ✓ apache-2.0 | 824 K | from 531.1 GB |
| 375 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-FP8 | 31.6 B | 262 K | unknown | 820 K | from 40.8 GB |
| 376 | GLM-5.3-Flash-GGUF | 321.3 B | — | ✓ mit | 818 K | from 102.9 GB |
| 377 | parakeet-tdt-0.6b-v2 | 620 M | — | ✓ cc-by-4.0 | 815 K | from 3.3 GB |
| 378 | Ornith-1.0-9B | <0.1 M | — | ✓ mit | 814 K | from 21.2 GB |
| 379 | repeat | — | — | unknown | 812 K | from 0.5 GB |
| 380 | vakyansh-wav2vec2-tamil-tam-250 | — | — | ✓ mit | 809 K | — |
| 381 | Kokoro-82M-v1.0-ONNX | 82 M | — | ✓ apache-2.0 | 808 K | from 0.7 GB |
| 382 | gemma-2-9b-it-AWQ-INT4 | 9.2 B | 8 K | ⚠ gemma | 803 K | from 8.7 GB |
| 383 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 795 K | from 1.1 GB |
| 384 | wide_resnet50_2.racm_in1k | 70 M | — | ✓ apache-2.0 | 795 K | from 0.8 GB |
| 385 | wav2vec2-xls-r-300m-sk-cv8 | 300 M | — | ✓ apache-2.0 | 786 K | from 1.2 GB |
| 386 | nb-wav2vec2-1b-nynorsk | 960 M | — | ✓ apache-2.0 | 775 K | from 4.9 GB |
| 387 | Qwen2.5-32B-Instruct | 32.8 B | 33 K | ✓ apache-2.0 | 775 K | from 77.5 GB |
| 388 | Qwen2.5-Coder-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 769 K | from 7.8 GB |
| 389 | Qwen-Image-2.1-Turbo-Uncensored-GGUF | 8.8 B | — | ✓ apache-2.0 | 761 K | from 5.5 GB |
| 390 | ruri-v3-310m | 310 M | 8 K | ✓ apache-2.0 | 759 K | from 1.9 GB |
| 391 | ner-german-large | — | — | unknown | 754 K | — |
| 392 | yolos-small | 30 M | — | ✓ apache-2.0 | 751 K | from 0.6 GB |
| 393 | distil-large-v3 | 760 M | — | ✓ mit | 747 K | from 5.6 GB |
| 394 | Qwen2.5-7B-Instruct-GGUF | 7.0 B | 33 K | ✓ apache-2.0 | 738 K | from 4.9 GB |
| 395 | Qwen2.5-Math-PRM-7B | 7.6 B | 4 K | other | 738 K | from 18.4 GB |
| 396 | wav2vec2-large-xlsr-catala | — | — | ✓ apache-2.0 | 737 K | — |
| 397 | e5-large-v2 | 340 M | 512 | ✓ mit | 737 K | from 2.0 GB |
| 398 | nomic-embed-text-v2-moe | 480 M | — | ✓ apache-2.0 | 736 K | from 2.7 GB |
| 399 | Qwen3-TTS-12Hz-0.6B-CustomVoice | 910 M | — | ✓ apache-2.0 | 734 K | from 3.4 GB |
| 400 | NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4 | 18.2 B | 262 K | other | 733 K | from 24.5 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.