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 |
|---|---|---|---|---|---|---|
| 701 | gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 | 12.0 B | — | ✓ apache-2.0 | 260 K | from 28.6 GB |
| 702 | DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | 2.3 B | 131 K | ✓ mit | 258 K | from 10.4 GB |
| 703 | plant-identity | 90 M | — | unknown | 257 K | from 0.9 GB |
| 704 | Qwen3-Coder-30B-A3B-Instruct-AWQ | 30.5 B | 262 K | ✓ apache-2.0 | 257 K | from 23.6 GB |
| 705 | t5-3b | 2.9 B | — | ✓ apache-2.0 | 255 K | from 13.5 GB |
| 706 | Sugoi-32B-Ultra-GGUF | — | — | ✓ apache-2.0 | 254 K | from 14.0 GB |
| 707 | droplychee-1.0-27b | 27.8 B | — | ✓ apache-2.0 | 252 K | from 65.8 GB |
| 708 | OLMoE-1B-7B-0125-Instruct | 6.9 B | 4 K | ✓ apache-2.0 | 251 K | from 16.8 GB |
| 709 | Qwen3.5-122B-A10B-NVFP4 | 64.6 B | — | ✓ apache-2.0 | 250 K | from 102.0 GB |
| 710 | bert-base-multilingual-cased-ner-hrl | 180 M | 512 | ✓ afl-3.0 | 249 K | from 1.3 GB |
| 711 | Llama-3_3-Nemotron-Super-49B-v1_5-FP8 | 49.9 B | 131 K | other | 249 K | from 65.1 GB |
| 712 | span-marker-bert-base-uncased-acronyms | 110 M | — | ✓ apache-2.0 | 247 K | from 1.0 GB |
| 713 | Bielik-11B-v3.0-Instruct-awq | 11.3 B | 33 K | ✓ apache-2.0 | 247 K | from 9.0 GB |
| 714 | Mistral-Small-24B-Instruct-2501-AWQ | 23.6 B | 33 K | ✓ apache-2.0 | 246 K | from 19.7 GB |
| 715 | xlm-roberta-large-ner-hrl | 560 M | 512 | ✓ afl-3.0 | 246 K | from 3.0 GB |
| 716 | deberta-xlarge-mnli | — | 512 | ✓ mit | 246 K | — |
| 717 | wav2vec2-large-robust-24-ft-age-gender | 320 M | — | ✗ cc-by-nc-sa-4.0 | 246 K | from 1.9 GB |
| 718 | DeepSeek-V4-Flash-GGUF | — | — | ✓ mit | 245 K | from 44.1 GB |
| 719 | opus-mt-en-fr | — | 512 | ✓ apache-2.0 | 245 K | — |
| 720 | DeepSeek-V3.1 | 684.5 B | 164 K | ✓ mit | 244 K | from 860.6 GB |
| 721 | pythia-410m | 510 M | 2 K | ✓ apache-2.0 | 244 K | from 1.6 GB |
| 722 | llama-160m | 160 M | 2 K | ✓ apache-2.0 | 243 K | from 1.2 GB |
| 723 | hubert-large-speech-emotion-recognition-russian-dusha-finetuned | 320 M | — | ✓ apache-2.0 | 243 K | from 1.9 GB |
| 724 | Phi-3-mini-128k-instruct | 3.8 B | 131 K | ✓ mit | 242 K | from 9.5 GB |
| 725 | llama-3-70b-instruct-awq | 70.6 B | 8 K | unknown | 242 K | from 54.8 GB |
| 726 | ai-image-detector-dev-deploy | 200 M | — | unknown | 241 K | from 2.2 GB |
| 727 | table-transformer-structure-recognition-v1.1-all | 30 M | — | ✓ mit | 240 K | from 0.6 GB |
| 728 | Qwen3-8B-GGUF | — | — | ✓ apache-2.0 | 239 K | from 6.0 GB |
| 729 | tiny_starcoder_py | 160 M | — | bigcode-openrail-m | 238 K | from 1.2 GB |
| 730 | Qwen2.5-3B-Instruct-AWQ | 3.4 B | 33 K | other | 238 K | from 4.0 GB |
| 731 | Meta-Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 238 K | from 19.4 GB |
| 732 | GLM-5.2-GGUF | — | — | ✓ mit | 238 K | from 52.0 GB |
| 733 | pythia-14m | 10 M | 2 K | ✓ apache-2.0 | 237 K | from 0.5 GB |
| 734 | Agents-A1-NVFP4 | 18.9 B | — | ✓ apache-2.0 | 237 K | from 29.5 GB |
| 735 | Qwen2.5-Math-PRM-7B | 7.6 B | 4 K | other | 237 K | from 18.4 GB |
| 736 | internlm2-1_8b-reward | 1.7 B | 33 K | other | 236 K | from 4.5 GB |
| 737 | convnext_base.fb_in22k_ft_in1k | 90 M | — | ✓ apache-2.0 | 236 K | from 0.9 GB |
| 738 | Qwen2.5-Coder-14B-Instruct-GPTQ-Int4 | 14.8 B | 33 K | ✓ apache-2.0 | 234 K | from 13.7 GB |
| 739 | layoutreader | 360 M | 514 | ✗ cc-by-nc-sa-4.0 | 234 K | from 1.3 GB |
| 740 | gliner_multi-v2.1 | 290 M | — | ✓ apache-2.0 | 234 K | from 1.8 GB |
| 741 | QwQ-32B | 32.8 B | 41 K | ✓ apache-2.0 | 234 K | from 77.5 GB |
| 742 | resnet18.a3_in1k | 10 M | — | ✓ apache-2.0 | 234 K | from 0.6 GB |
| 743 | Llama-3.2-1B-Instruct-Q8_0-GGUF | — | — | unknown | 233 K | from 2.0 GB |
| 744 | distilbert-NER | 70 M | 512 | ✓ apache-2.0 | 231 K | from 0.8 GB |
| 745 | Phi-3-vision-128k-instruct | 4.2 B | 131 K | ✓ mit | 231 K | from 10.2 GB |
| 746 | Nemotron-Labs-Diffusion-8B | 8.5 B | 262 K | other | 228 K | from 20.6 GB |
| 747 | TinyLLama-v0 | 0 M | 2 K | ✓ apache-2.0 | 226 K | from 0.5 GB |
| 748 | LFM2.5-1.2B-Instruct-GGUF | — | — | other | 226 K | from 1.3 GB |
| 749 | Qwen2.5-14B-bnb-4bit | 15.2 B | 131 K | ✓ apache-2.0 | 224 K | from 13.7 GB |
| 750 | Qwen3.6-35B-A3B-DFlash | 390 M | 262 K | ✓ apache-2.0 | 224 K | from 1.4 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.