1,023 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 |
|---|---|---|---|---|---|---|
| 651 | DeepSeek-R1-0528-NVFP4-v2 | 393.6 B | 164 K | ✓ mit | 321 K | from 514.2 GB |
| 652 | efficientnet_b2.ra_in1k | 10 M | — | ✓ apache-2.0 | 314 K | from 0.5 GB |
| 653 | edgenext_small.usi_in1k | 10 M | — | ✓ mit | 313 K | from 0.5 GB |
| 654 | granite-4.1-3b | 3.4 B | 131 K | ✓ apache-2.0 | 312 K | from 8.5 GB |
| 655 | NVIDIA-Nemotron-Nano-9B-v2 | 8.9 B | 131 K | other | 310 K | from 21.4 GB |
| 656 | RMBG-1.4 | 40 M | — | other | 310 K | from 0.7 GB |
| 657 | segformer_b2_clothes | 30 M | — | other | 308 K | from 0.6 GB |
| 658 | voice-gender-classifier | 20 M | — | ✓ mit | 307 K | from 0.6 GB |
| 659 | Jan-v3.5-4B-gguf | — | — | ✓ apache-2.0 | 306 K | from 2.8 GB |
| 660 | Qwen2.5-3B | 3.1 B | 33 K | other | 306 K | from 7.8 GB |
| 661 | xlm-roberta-base-ner-hrl | 280 M | 512 | ✓ afl-3.0 | 304 K | from 1.8 GB |
| 662 | Olmo-3-7B-Instruct-SFT | 7.3 B | 66 K | ✓ apache-2.0 | 301 K | from 17.7 GB |
| 663 | phishing-email-detection-distilbert_v2.4.1 | 70 M | 512 | ✓ apache-2.0 | 301 K | from 0.8 GB |
| 664 | Qwen2-0.5B-Instruct | 490 M | 33 K | ✓ apache-2.0 | 294 K | from 1.7 GB |
| 665 | Meta-Llama-3.1-8B-Instruct-GGUF | — | — | ⚠ llama3.1 | 294 K | from 3.7 GB |
| 666 | mms-lid-126 | 970 M | — | ✗ cc-by-nc-4.0 | 291 K | from 4.9 GB |
| 667 | deberta-v3-base-prompt-injection-v2 | 180 M | 512 | ✓ apache-2.0 | 291 K | from 1.3 GB |
| 668 | CommunityForensics-DeepfakeDet-ViT | 40 M | — | ✓ mit | 290 K | from 0.7 GB |
| 669 | Meta-Llama-3-8B | 8.0 B | 8 K | other | 290 K | from 19.4 GB |
| 670 | rtdetr_v2_r18vd | 20 M | — | ✓ apache-2.0 | 289 K | from 0.6 GB |
| 671 | SmolLM-135M | 130 M | 2 K | ✓ apache-2.0 | 288 K | from 1.1 GB |
| 672 | DeepSeek-R1-Distill-Qwen-7B | 7.6 B | 131 K | ✓ mit | 288 K | from 18.4 GB |
| 673 | Llama-3.2-1B-Instruct | 1.2 B | 131 K | ⚠ llama3.2 | 287 K | from 3.4 GB |
| 674 | MuQ-large-msd-iter | 330 M | — | ✗ cc-by-nc-4.0 | 286 K | from 2.0 GB |
| 675 | gemma-4-12B-coder-fable5-composer2.5-v1-GGUF | — | — | ✓ apache-2.0 | 286 K | from 5.8 GB |
| 676 | roberta-large-mnli | 360 M | 512 | ✓ mit | 285 K | from 2.1 GB |
| 677 | llama-7b | 6.7 B | 2 K | other | 285 K | from 16.3 GB |
| 678 | GLM-4.7-Flash | 31.2 B | 203 K | ✓ mit | 284 K | from 73.9 GB |
| 679 | MiMo-7B-Base | 7.8 B | 33 K | ✓ mit | 284 K | from 18.9 GB |
| 680 | Qwen3-Next-80B-A3B-Instruct | 81.3 B | 262 K | ✓ apache-2.0 | 283 K | from 191.6 GB |
| 681 | vit_small_patch16_224.augreg_in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 283 K | from 0.6 GB |
| 682 | Qwen2.5-7B-Instruct-GPTQ-Int4 | 7.6 B | 33 K | ✓ apache-2.0 | 282 K | from 7.8 GB |
| 683 | Kimi-K2.6-NVFP4 | — | — | other | 281 K | from 655.2 GB |
| 684 | nsfw-classifier | 90 M | — | ✗ cc-by-nc-nd-4.0 | 279 K | from 0.9 GB |
| 685 | Kimi-K2.5-NVFP4 | — | — | other | 279 K | from 650.4 GB |
| 686 | granite-4.0-h-tiny | 6.9 B | 131 K | ✓ apache-2.0 | 279 K | from 16.8 GB |
| 687 | DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | 1.3 B | 131 K | ✓ mit | 278 K | from 5.8 GB |
| 688 | Qwen3-8B-GGUF | — | 41 K | ✓ apache-2.0 | 277 K | from 4.1 GB |
| 689 | opt-350m | — | 2 K | other | 276 K | — |
| 690 | open-vakgyata | 60 M | — | ✗ cc-by-nc-4.0 | 274 K | from 0.8 GB |
| 691 | Qwen3-4B-GGUF | — | — | ✓ apache-2.0 | 274 K | from 3.2 GB |
| 692 | deberta-large-mnli | — | 512 | ✓ mit | 269 K | — |
| 693 | OTel-LLM-27B-IT | — | — | ✓ apache-2.0 | 268 K | — |
| 694 | gpt-j-6b | — | — | ✓ apache-2.0 | 268 K | — |
| 695 | MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF | — | — | ✓ apache-2.0 | 265 K | from 1.8 GB |
| 696 | Qwen2.5-Math-1.5B | 1.5 B | 4 K | ✓ apache-2.0 | 265 K | from 4.1 GB |
| 697 | madlad400-3b-mt | 2.9 B | — | ✓ apache-2.0 | 263 K | from 2.8 GB |
| 698 | gemma-2-2b | 2.6 B | — | ⚠ gemma | 263 K | from 12.4 GB |
| 699 | wikineural-multilingual-ner | 180 M | 512 | ✗ cc-by-nc-sa-4.0 | 263 K | from 1.3 GB |
| 700 | distilbert-imdb | — | 512 | ✓ apache-2.0 | 262 K | — |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.