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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.

Task
All text-generation 414 text-to-image 151 ASR 93 image-text-to-text 89 sentence-similarity 61 feature-extraction 48 translation 48 text-classification 42 image-classification 33 token-classification 29 text-to-speech 12 audio-classification 11 object-detection 11 image-segmentation 10 summarization 8
Runs on
Any RTX 3060 · 12 GB RTX 4070 · 16 GB RTX 4090 · 24 GB 2 × 24 GB Mac M3 · 24 GB Mac M4 Max · 64 GB
Licence
Size
$
1,060 models
#ModelParamsContextCommercial use30dMin VRAM
801 Meta-Llama-3.1-8B-Instruct unsloth · text-generation 8.0 B 131 K ⚠ llama3.1 243 K from 19.4 GB
802 gliner_multi-v2.1 urchade · token-classification 290 M — ✓ apache-2.0 242 K from 1.8 GB
803 privacy-filter openai · token-classification 1.4 B 131 K ✓ apache-2.0 242 K from 6.9 GB
804 h2ovl-mississippi-800m h2oai · text-generation 830 M — ✓ apache-2.0 242 K from 2.4 GB
805 SmolLM2-1.7B HuggingFaceTB · text-generation 1.7 B 8 K ✓ apache-2.0 241 K from 4.5 GB
806 convnext_femto.d1_in1k timm · image-classification 10 M — ✓ apache-2.0 241 K from 0.5 GB
807 Qwen3-8B-FP8 nvidia · text-generation 8.2 B 41 K ✓ apache-2.0 240 K from 12.1 GB
808 pythia-410m EleutherAI · text-generation 510 M 2 K ✓ apache-2.0 239 K from 1.6 GB
809 Vikhr-Nemo-12B-Instruct-R-21-09-24 Vikhrmodels · text-generation 12.3 B 1.0 M ✓ apache-2.0 239 K from 30.8 GB
810 segformer_b2_clothes mattmdjaga · image-segmentation 30 M — other 238 K from 0.6 GB
811 gemma-3-270m google · text-generation · gated 270 M — ⚠ gemma 238 K from 1.1 GB
812 NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DSpark nvidia · text-generation 760 M 1.0 M other 237 K from 2.1 GB
813 deberta-xlarge-mnli microsoft · text-classification — 512 ✓ mit 237 K —
814 span-marker-bert-base-uncased-acronyms tomaarsen · token-classification 110 M — ✓ apache-2.0 237 K from 1.0 GB
815 Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF hesamation · text-generation — — ✓ apache-2.0 236 K from 23.8 GB
816 Qwen-Image-2512-GGUF unsloth · text-to-image — — ✓ apache-2.0 236 K from 8.6 GB
817 Mellum2-12B-A2.5B-Instruct-GGUF-Q8_0 JetBrains · text-generation — — ✓ apache-2.0 236 K from 14.7 GB
818 roberta_toxicity_classifier s-nlp · text-classification — 512 ⚠ openrail++ 235 K —
819 Laguna-XS-2.1-GGUF poolside · text-generation — — openmdw-1.1 234 K from 22.8 GB
820 detr-doc-table-detection TahaDouaji · object-detection 40 M 1 K ✓ apache-2.0 234 K from 0.7 GB
821 Qwen3-0.6B-GGUF Qwen · text-generation 600 M 41 K ✓ apache-2.0 233 K from 1.3 GB
822 ner-english flair · token-classification — — unknown 233 K —
823 fullstop-punctuation-multilang-large oliverguhr · token-classification 560 M 512 ✓ mit 232 K from 3.0 GB
824 diffusiongemma-26B-A4B-it-NVFP4 nvidia · text-generation 14.4 B — ✓ apache-2.0 232 K from 23.4 GB
825 Qwen2.5-14B-Instruct-GPTQ-Int4 Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 232 K from 13.7 GB
826 Mistral-Small-24B-Instruct-2501-AWQ stelterlab · text-generation 23.6 B 33 K ✓ apache-2.0 232 K from 19.7 GB
827 biomedical-ner-all d4data · token-classification 66 M 512 ✓ apache-2.0 231 K from 0.8 GB
828 llama-7b huggyllama · text-generation 6.7 B 2 K other 231 K from 16.3 GB
829 gliner2.5-multi-v1 fastino · token-classification 287 M — ✓ apache-2.0 231 K from 1.8 GB
830 h2ovl-mississippi-2b h2oai · text-generation 2.2 B — ✓ apache-2.0 230 K from 5.6 GB
831 Qwen2.5-1.5B-Instruct-GGUF Qwen · text-generation — — ✓ apache-2.0 230 K from 1.3 GB
832 pegasus-xsum google · summarization — 512 unknown 230 K —
833 Agents-A1-4B-Q8_0-GGUF InternScience · text-generation — — ✓ apache-2.0 229 K from 1.2 GB
834 twitter-xlm-roberta-base-sentiment-multilingual cardiffnlp · text-classification — 512 unknown 229 K —
835 Ornith-1.0-397B ornith-ai · text-generation 396.8 B — ✓ mit 228 K from 933.0 GB
836 OpenMed-NER-ChemicalDetect-ModernMed-149M OpenMed · token-classification 150 M 8 K ✓ apache-2.0 225 K from 0.9 GB
837 TinyStories-1M roneneldan · text-generation 1.0 M 2 K unknown 225 K from 0.5 GB
838 Meta-Llama-3.1-8B-Instruct-AWQ-INT4 hugging-quants · text-generation 8.0 B 131 K ⚠ llama3.1 224 K from 8.0 GB
839 distilbert-imdb lvwerra · text-classification — 512 ✓ apache-2.0 224 K —
840 BiRefNet_lite ZhengPeng7 · image-segmentation 44 M — ✓ mit 223 K from 0.7 GB
841 Yi-Coder-9B-Chat-GGUF MaziyarPanahi · text-generation — — unknown 223 K from 2.7 GB
842 Kimi-K2-Instruct moonshotai · text-generation 1,026.5 B 131 K other 222 K from 1,286.6 GB
843 MiniMax-M2.5-NVFP4 nvidia · text-generation 116.4 B 197 K other 222 K from 171.8 GB
844 Ornith-1.5-9B-MLX-6bit ornith-ai · text-generation 9.0 B — unknown 221 K from 9.8 GB
845 hyenadna-medium-450k-seqlen-hf LongSafari · text-generation 28 M — ✓ bsd-3-clause 221 K from 0.6 GB
846 GLM-4.7-Flash-AWQ-4bit cyankiwi · text-generation 32.1 B 203 K ✓ mit 221 K from 27.5 GB
847 LLaDA2.0-mini inclusionAI · text-generation 16.3 B 33 K ✓ apache-2.0 220 K from 38.7 GB
848 Olmo-3-7B-Instruct-SFT allenai · text-generation 7.3 B 66 K ✓ apache-2.0 220 K from 17.7 GB
849 opus-mt-es-en Helsinki-NLP · translation — 512 ✓ apache-2.0 220 K —
850 automotive flywheel-ai · text-generation 34.7 B — ✓ apache-2.0 219 K from 29.0 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.