1,060 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 |
|---|---|---|---|---|---|---|
| 751 | gpt-oss-20b-MXFP4-Q8 | 20.9 B | 131 K | ✓ apache-2.0 | 270 K | from 16.9 GB |
| 752 | MuQ-large-msd-iter | 330 M | — | ✗ cc-by-nc-4.0 | 268 K | from 2.0 GB |
| 753 | taardis-27b-full-ternary | — | — | ✓ apache-2.0 | 268 K | from 8.4 GB |
| 754 | Flux2-Klein-9B-True-V2 | — | — | other | 268 K | from 6.8 GB |
| 755 | Meta-Llama-3-8B | 8.0 B | — | ⚠ llama3 | 268 K | from 19.4 GB |
| 756 | bertweet-base-sentiment-analysis | — | 128 | unknown | 267 K | — |
| 757 | Qwen3-14B-GGUF | — | — | unknown | 267 K | from 6.8 GB |
| 758 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF | — | — | other | 266 K | from 21.3 GB |
| 759 | Qwen3-4B-GGUF | — | — | unknown | 265 K | from 2.3 GB |
| 760 | Qwen3-30B-A3B-GGUF | — | — | ✓ apache-2.0 | 265 K | from 20.9 GB |
| 761 | OpenMed-NER-PharmaDetect-SuperClinical-434M | 430 M | 512 | ✓ apache-2.0 | 265 K | from 1.5 GB |
| 762 | llama-3-8b-instruct-awq | 8.0 B | 8 K | unknown | 265 K | from 8.0 GB |
| 763 | KoELECTRA-small-v3-modu-ner | 10 M | 512 | unknown | 265 K | from 0.6 GB |
| 764 | openai-gpt | 120 M | — | ✓ mit | 265 K | from 1.0 GB |
| 765 | Qwen3-1.7B-GGUF | — | — | unknown | 263 K | from 1.5 GB |
| 766 | RADAR-Vicuna-7B | 7.0 B | 512 | unknown | 262 K | from 17.0 GB |
| 767 | Pony_Diffusion_V6_XL | — | — | cdla-permissive-2.0 | 262 K | from 8.5 GB |
| 768 | Qwen3-8B-GGUF | — | — | unknown | 261 K | from 4.1 GB |
| 769 | nsfw-classifier | 90 M | — | ✗ cc-by-nc-nd-4.0 | 261 K | from 0.9 GB |
| 770 | ner-english-fast | — | — | unknown | 259 K | — |
| 771 | Qwen3-30B-A3B-GGUF | — | — | unknown | 259 K | from 12.9 GB |
| 772 | Qwen3-32B-GGUF | — | — | unknown | 259 K | from 14.1 GB |
| 773 | Qwen2.5-Coder-7B-Instruct-4bit | 1.2 B | 33 K | ✓ apache-2.0 | 258 K | from 5.4 GB |
| 774 | rubert-tiny-toxicity | 10 M | 512 | ✓ mit | 258 K | from 0.6 GB |
| 775 | bert-small-pii-detection | 30 M | 512 | ✓ apache-2.0 | 257 K | from 0.6 GB |
| 776 | DeepSeek-R1-Distill-Qwen-7B | 7.6 B | 131 K | ✓ mit | 256 K | from 18.4 GB |
| 777 | convnextv2_large.fcmae_ft_in22k_in1k_384 | 200 M | — | ✗ cc-by-nc-4.0 | 256 K | from 1.4 GB |
| 778 | FinancialBERT-Sentiment-Analysis | — | 512 | unknown | 253 K | — |
| 779 | xlm-roberta-base-ner-hrl | 280 M | 512 | ✓ afl-3.0 | 253 K | from 1.8 GB |
| 780 | convnextv2-base-22k-384 | 90 M | — | ✓ apache-2.0 | 253 K | from 0.9 GB |
| 781 | Qwen3.8-27B-NVFP4-MTP-GGUF | — | — | ✓ apache-2.0 | 253 K | from 36.9 GB |
| 782 | droplychee-1.0-27b | 27.8 B | — | ✓ apache-2.0 | 252 K | from 65.8 GB |
| 783 | deberta-large-mnli | — | 512 | ✓ mit | 252 K | — |
| 784 | DeepSeek-R1-0528 | 684.5 B | 164 K | ✓ mit | 252 K | from 860.6 GB |
| 785 | Qwen2.5-1.5B-apeach | 1.5 B | 131 K | unknown | 251 K | from 7.5 GB |
| 786 | Llama-3.2-1B-Instruct | 1.2 B | 131 K | ⚠ llama3.2 | 251 K | from 3.4 GB |
| 787 | Qwen3-Coder-Next-FP8 | 79.7 B | 262 K | ✓ apache-2.0 | 250 K | from 100.9 GB |
| 788 | Hy3-GGUF | — | — | ✓ apache-2.0 | 248 K | from 52.9 GB |
| 789 | OpenMed-PII-SuperClinical-Small-44M-v1 | 140 M | 512 | ✓ apache-2.0 | 248 K | from 1.1 GB |
| 790 | sarashina2.2-0.5b-instruct-v0.1 | 790 M | 8 K | ✓ mit | 246 K | from 2.4 GB |
| 791 | SmolLM2-1.7B-Instruct | 1.7 B | 8 K | ✓ apache-2.0 | 246 K | from 4.5 GB |
| 792 | unbiased-toxic-roberta-onnx | — | 512 | ✓ apache-2.0 | 246 K | — |
| 793 | xlm-roberta-large-ner-hrl | 560 M | 512 | ✓ afl-3.0 | 246 K | from 3.0 GB |
| 794 | Qwen3-4B-AWQ | 4.0 B | 41 K | ✓ apache-2.0 | 245 K | from 4.0 GB |
| 795 | DeepSeek-V4-Flash-GGUF | — | — | ✓ mit | 245 K | from 44.1 GB |
| 796 | plant-identity | 90 M | — | unknown | 245 K | from 0.9 GB |
| 797 | OTel-LLM-8B-A1B-IT | — | 128 K | ✓ apache-2.0 | 245 K | — |
| 798 | gemma-4-31B-it-uncensored | 32.7 B | — | ✓ apache-2.0 | 244 K | from 74.2 GB |
| 799 | mmarco-mMiniLMv2-L6-H384-v1 | — | 512 | unknown | 244 K | — |
| 800 | twitter-roberta-base-sentiment | — | 512 | unknown | 244 K | — |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.