1,000 models · refreshed nightly
All models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 351 | wavlm-base-plus | — | — | unknown | 881 K | — |
| 352 | opus-mt-fr-en | 80 M | 512 | ✓ apache-2.0 | 881 K | from 0.8 GB |
| 353 | Qwen2.5-1.5B | 1.5 B | 131 K | ✓ apache-2.0 | 878 K | from 4.1 GB |
| 354 | Phi-tiny-MoE-instruct | 3.8 B | 4 K | ✓ mit | 878 K | from 9.3 GB |
| 355 | Qwen2.5-1.5B-Instruct-AWQ | 1.8 B | 33 K | ✓ apache-2.0 | 877 K | from 2.5 GB |
| 356 | dreamshaper-7 | 860 M | — | ⚠ creativeml-openrail-m | 876 K | from 9.7 GB |
| 357 | wav2vec2-large-xls-r-300m-Urdu | 320 M | — | ✓ apache-2.0 | 868 K | from 1.9 GB |
| 358 | gemma-4-26B-A4B-it-QAT-MLX-4bit | 4.6 B | — | ✓ apache-2.0 | 868 K | from 18.4 GB |
| 359 | Qwen3.6-27B-MLX-6bit | 6.4 B | — | ✓ apache-2.0 | 867 K | from 26.5 GB |
| 360 | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 | 123.6 B | 262 K | other | 866 K | from 291.0 GB |
| 361 | Qwen3-Coder-Next-FP8-dynamic | 79.8 B | 262 K | ✓ apache-2.0 | 864 K | from 102.4 GB |
| 362 | wav2vec2-large-xlsr-korean | 320 M | — | ✓ apache-2.0 | 861 K | from 1.9 GB |
| 363 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 854 K | from 0.6 GB |
| 364 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 853 K | from 12.1 GB |
| 365 | specter2_base | — | 512 | ✓ apache-2.0 | 853 K | — |
| 366 | SmolLM3-3B | 3.1 B | 66 K | ✓ apache-2.0 | 852 K | from 7.7 GB |
| 367 | pubmedbert-base-embeddings | 110 M | 512 | ✓ apache-2.0 | 852 K | from 1.0 GB |
| 368 | distilbart-cnn-12-6 | — | 1 K | ✓ apache-2.0 | 829 K | — |
| 369 | gte-small | 30 M | 512 | ✓ mit | 829 K | from 0.6 GB |
| 370 | OmniVoice | 610 M | — | unknown | 823 K | from 4.2 GB |
| 371 | VoxCPM2 | 2.3 B | — | ✓ apache-2.0 | 818 K | from 5.9 GB |
| 372 | llama-nemotron-embed-1b-v2 | 1.2 B | 131 K | other | 816 K | from 3.4 GB |
| 373 | text2vec-base-chinese | 100 M | 512 | ✓ apache-2.0 | 802 K | from 1.0 GB |
| 374 | PP-DocLayoutV3_safetensors | 30 M | — | ✓ apache-2.0 | 801 K | from 0.7 GB |
| 375 | mamba-130m-hf | 130 M | — | unknown | 800 K | from 1.1 GB |
| 376 | bge-small-en-v1.5-onnx-Q | — | 512 | ✓ apache-2.0 | 799 K | — |
| 377 | mimi | 100 M | 8 K | ✓ cc-by-4.0 | 796 K | from 0.9 GB |
| 378 | Flux2-Klein-9B-True-V2 | — | — | other | 796 K | from 6.8 GB |
| 379 | DeepSeek-R1-Distill-Qwen-14B | 14.8 B | 131 K | ✓ mit | 790 K | from 35.2 GB |
| 380 | Llama-3.1-70B-Instruct | 70.6 B | — | ⚠ llama3.1 | 784 K | from 166.3 GB |
| 381 | finbert-tone | — | 512 | unknown | 781 K | — |
| 382 | phi-2 | 2.8 B | 2 K | ✓ mit | 776 K | from 7.0 GB |
| 383 | Ternary-Bonsai-27B-gguf | — | — | ✓ apache-2.0 | 775 K | from 1.2 GB |
| 384 | pythia-70m-deduped | 100 M | 2 K | ✓ apache-2.0 | 772 K | from 0.7 GB |
| 385 | Qwen2.5-1.5B-quantized.w8a8 | 1.8 B | 33 K | ✓ apache-2.0 | 769 K | from 3.2 GB |
| 386 | Llama-3.2-1B-Instruct-FP8 | 1.5 B | 131 K | ⚠ llama3.2 | 765 K | from 3.0 GB |
| 387 | vntl-llama3-8b-v2-gguf | — | — | ⚠ llama3 | 761 K | from 6.8 GB |
| 388 | Llama-2-7b-hf | 6.7 B | — | ⚠ llama2 | 761 K | from 16.3 GB |
| 389 | F5-TTS | — | — | ✗ cc-by-nc-4.0 | 759 K | from 5.0 GB |
| 390 | wav2vec2-xls-r-300m-hebrew | 320 M | — | unknown | 754 K | from 1.9 GB |
| 391 | DeepSeek-R1-Distill-Qwen-32B | 32.8 B | 131 K | ✓ mit | 752 K | from 77.5 GB |
| 392 | vakyansh-wav2vec2-tamil-tam-250 | — | — | ✓ mit | 752 K | — |
| 393 | w2v-xls-r-uk | 320 M | — | ✓ apache-2.0 | 750 K | from 1.9 GB |
| 394 | wav2vec2-large-robust-12-ft-emotion-msp-dim | 170 M | — | ✗ cc-by-nc-sa-4.0 | 749 K | from 1.3 GB |
| 395 | Llama-2-7b-chat-hf | 6.7 B | — | ⚠ llama2 | 745 K | from 16.3 GB |
| 396 | KR-SBERT-V40K-klueNLI-augSTS | — | 512 | unknown | 743 K | — |
| 397 | LaBSE | 470 M | 512 | ✓ apache-2.0 | 740 K | from 2.6 GB |
| 398 | MiniMax-M2.5 | 228.7 B | 197 K | other | 739 K | from 288.0 GB |
| 399 | Qwen2.5-Coder-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 731 K | from 4.1 GB |
| 400 | yolos-small | 30 M | — | ✓ apache-2.0 | 731 K | from 0.6 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.