1,058 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 | Llama-3.3-70B-Instruct | 70.6 B | — | ⚠ llama3.3 | 913 K | from 166.3 GB |
| 352 | rtdetr_r101vd_coco_o365 | 80 M | — | ✓ apache-2.0 | 911 K | from 0.9 GB |
| 353 | DeepSeek-Coder-V2-Lite-Instruct | 15.7 B | 164 K | other | 911 K | from 37.4 GB |
| 354 | repeat | — | — | unknown | 908 K | from 0.5 GB |
| 355 | Qwen3.5-4B-GGUF | — | — | ✓ apache-2.0 | 907 K | from 2.8 GB |
| 356 | DeepSeek-OCR-2 | 3.4 B | 8 K | ✓ apache-2.0 | 900 K | from 8.5 GB |
| 357 | dreamshaper-7 | 860 M | — | ⚠ creativeml-openrail-m | 900 K | from 9.7 GB |
| 358 | gemma-4-12b-it-GGUF | 12.0 B | — | ✓ apache-2.0 | 898 K | from 7.9 GB |
| 359 | snowflake-arctic-embed-l-v2.0 | 570 M | 8 K | ✓ apache-2.0 | 889 K | from 3.1 GB |
| 360 | sdxl-turbo | 2.6 B | — | other | 886 K | from 46.7 GB |
| 361 | Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive | — | — | ✓ apache-2.0 | 885 K | from 13.3 GB |
| 362 | Qwen3.6-35B-A3B-abliterated-v4 | 34.7 B | 262 K | ✓ apache-2.0 | 877 K | from 82.0 GB |
| 363 | Juggernaut-XL-v9 | — | — | ⚠ creativeml-openrail-m | 869 K | from 15.9 GB |
| 364 | Llama-3.2-1B | 1.2 B | — | ⚠ llama3.2 | 869 K | from 3.4 GB |
| 365 | ced-gguf | — | — | ✓ apache-2.0 | 866 K | from 0.6 GB |
| 366 | jina-embeddings-v2-small-en | 30 M | 8 K | ✓ apache-2.0 | 862 K | from 0.6 GB |
| 367 | Qwen2.5-1.5B | 1.5 B | 131 K | ✓ apache-2.0 | 860 K | from 4.1 GB |
| 368 | DeepSeek-R1-0528-Qwen3-8B | 8.2 B | 131 K | ✓ mit | 858 K | from 19.7 GB |
| 369 | deberta-v3-base-prompt-injection-v2 | 180 M | 512 | ✓ apache-2.0 | 852 K | from 1.3 GB |
| 370 | XYZAILab_XYZ-Aquila-mini-GGUF | — | — | ✓ apache-2.0 | 849 K | from 11.3 GB |
| 371 | opus-mt-fr-en | 80 M | 512 | ✓ apache-2.0 | 848 K | from 0.8 GB |
| 372 | wav2vec2-large-xlsr-mvc-swahili | 320 M | — | ✓ apache-2.0 | 845 K | from 1.9 GB |
| 373 | dots.ocr | 3.0 B | 131 K | ✓ mit | 831 K | from 7.6 GB |
| 374 | e5-base-v2 | 110 M | 512 | ✓ mit | 829 K | from 1.0 GB |
| 375 | NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4 | 18.2 B | 262 K | other | 827 K | from 24.5 GB |
| 376 | Qwen3.8-27B-NVFP4-RTX5090 | 27.0 B | — | ✓ apache-2.0 | 826 K | from 24.3 GB |
| 377 | Qwen3-0.6B-Base | 600 M | 33 K | ✓ apache-2.0 | 816 K | from 1.9 GB |
| 378 | POCKET-35B-GGUF | — | — | ✓ apache-2.0 | 812 K | from 9.6 GB |
| 379 | Qwen3-32B-AWQ | 32.8 B | 41 K | ✓ apache-2.0 | 811 K | from 26.7 GB |
| 380 | bge-base-zh-v1.5 | — | 512 | ✓ mit | 810 K | — |
| 381 | punctuate-all | — | 512 | ✓ mit | 808 K | — |
| 382 | Llama-2-7b-hf | 6.7 B | — | ⚠ llama2 | 806 K | from 16.3 GB |
| 383 | Ornith-1.5-9B-NVFP4 | 6.7 B | — | ✓ mit | 805 K | from 11.2 GB |
| 384 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 805 K | from 0.6 GB |
| 385 | Qwen3-Coder-480B-A35B-Instruct-FP8 | 480.2 B | 262 K | ✓ apache-2.0 | 804 K | from 602.9 GB |
| 386 | whisper-tiny.en | — | — | ✓ apache-2.0 | 802 K | — |
| 387 | OLMo-2-0425-1B | 1.5 B | 4 K | ✓ apache-2.0 | 799 K | from 7.3 GB |
| 388 | Qwen3.8-4B-Distill-GGUF | — | — | ✓ apache-2.0 | 793 K | from 3.6 GB |
| 389 | faster-whisper-small.en | — | — | ✓ mit | 781 K | — |
| 390 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 780 K | from 12.1 GB |
| 391 | rorshark-vit-base | 90 M | — | ✓ apache-2.0 | 777 K | from 0.9 GB |
| 392 | DeepSeek-R1 | 684.5 B | 164 K | ✓ mit | 773 K | from 860.6 GB |
| 393 | Qwen3.8-2B-Distill-GGUF | — | — | ✓ apache-2.0 | 772 K | from 1.9 GB |
| 394 | Qwen3-30B-A3B-Instruct-2507 | 30.5 B | 262 K | ✓ apache-2.0 | 768 K | from 72.3 GB |
| 395 | efficientnet_b0.ra_in1k | 10 M | — | ✓ apache-2.0 | 761 K | from 0.5 GB |
| 396 | yolos-small | 30 M | — | ✓ apache-2.0 | 760 K | from 0.6 GB |
| 397 | faster-whisper-medium | — | — | ✓ mit | 758 K | — |
| 398 | pythia-6.9b | 7.0 B | 2 K | ✓ apache-2.0 | 754 K | from 16.8 GB |
| 399 | nemotron-3.5-asr-streaming-0.6b | 640 M | — | other | 752 K | from 1.4 GB |
| 400 | FLUX.1-dev | 11.9 B | — | other | 751 K | from 66.0 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.