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 |
|---|---|---|---|---|---|---|
| 751 | ner-english | — | — | unknown | 223 K | — |
| 752 | Qwen3-4B-GGUF | — | — | unknown | 223 K | from 2.3 GB |
| 753 | vlt5-base-keywords | 280 M | — | ✓ cc-by-4.0 | 223 K | from 1.8 GB |
| 754 | DreamShaper | — | — | other | 220 K | from 185.3 GB |
| 755 | gemma-4-12b-heretic-abliterated-GGUF | — | — | ✓ apache-2.0 | 219 K | from 0.7 GB |
| 756 | NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4 | 335.0 B | 262 K | other | 219 K | from 438.3 GB |
| 757 | lynx-instruct-30b | 30.5 B | 262 K | ✓ apache-2.0 | 218 K | from 72.3 GB |
| 758 | Gemma-4-E4B-DECKARD-HERETIC-NVFP4 | 6.2 B | — | ⚠ gemma | 217 K | from 12.6 GB |
| 759 | Meta-Llama-3.1-8B-FP8 | 8.0 B | 131 K | ⚠ llama3.1 | 216 K | from 11.7 GB |
| 760 | Mistral-7B-Instruct-v0.1 | 7.2 B | 33 K | ✓ apache-2.0 | 216 K | from 17.5 GB |
| 761 | FLUX.1-schnell | 11.9 B | — | ✓ apache-2.0 | 215 K | from 65.9 GB |
| 762 | animagine-xl-4.0 | 2.6 B | — | ⚠ openrail++ | 215 K | from 23.8 GB |
| 763 | DeepSeek-V3.2-Exp | 685.4 B | 164 K | ✓ mit | 214 K | from 861.7 GB |
| 764 | GLM-4.7-Flash-AWQ | 31.2 B | 203 K | ✓ mit | 214 K | from 26.9 GB |
| 765 | OpenMed-NER-PharmaDetect-SuperClinical-434M | 430 M | 512 | ✓ apache-2.0 | 214 K | from 1.5 GB |
| 766 | dvine82-xl | 2.6 B | — | unknown | 213 K | from 8.5 GB |
| 767 | SmolLM2-1.7B-Instruct | 1.7 B | 8 K | ✓ apache-2.0 | 213 K | from 4.5 GB |
| 768 | opus-mt-ko-en | — | 512 | ✓ apache-2.0 | 212 K | — |
| 769 | RealVisXL_V5.0 | 2.6 B | — | ⚠ openrail++ | 212 K | from 46.7 GB |
| 770 | Mistral-7B-Instruct-v0.3-AWQ | 7.3 B | 33 K | ✓ apache-2.0 | 212 K | from 6.2 GB |
| 771 | IP-Adapter-FaceID | — | — | unknown | 210 K | from 1.5 GB |
| 772 | t5-large | 740 M | — | ✓ apache-2.0 | 210 K | from 3.9 GB |
| 773 | GLM-4.7-Flash-MLX-8bit | 29.9 B | 203 K | ✓ mit | 209 K | from 40.0 GB |
| 774 | Llama-2-13b-chat-hf | 13.0 B | — | ⚠ llama2 | 207 K | from 31.1 GB |
| 775 | Meta-Llama-3.1-70B-Instruct-AWQ-INT4 | 70.6 B | 131 K | ⚠ llama3.1 | 204 K | from 54.8 GB |
| 776 | Ornith-1.0-35B-GGUF | — | — | ✓ mit | 203 K | from 12.1 GB |
| 777 | xflux_text_encoders | 4.8 B | — | ✓ apache-2.0 | 203 K | from 11.7 GB |
| 778 | DeepSeek-R1-0528 | 684.5 B | 164 K | ✓ mit | 202 K | from 860.6 GB |
| 779 | opus-mt-es-en | — | 512 | ✓ apache-2.0 | 201 K | — |
| 780 | Dolphin-Mistral-24B-Venice-Edition | 24.0 B | — | ✓ apache-2.0 | 201 K | from 56.9 GB |
| 781 | Qwen2.5-Coder-1.5B | 1.5 B | 33 K | ✓ apache-2.0 | 200 K | from 4.1 GB |
| 782 | gemma-1.1-2b-it | 2.5 B | — | ⚠ gemma | 200 K | from 6.4 GB |
| 783 | DeepSeek-Coder-V2-Lite-Instruct-FP8 | 15.7 B | 164 K | other | 200 K | from 20.6 GB |
| 784 | Qwen2.5-1.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 199 K | from 1.3 GB |
| 785 | Qwen3-Coder-Next-GGUF | — | — | ✓ apache-2.0 | 199 K | from 47.4 GB |
| 786 | Qwen1.5-0.5B-Chat | 620 M | 33 K | other | 199 K | from 2.0 GB |
| 787 | opus-mt-zh-en | — | 512 | ✓ cc-by-4.0 | 198 K | — |
| 788 | revanimated | — | — | ⚠ creativeml-openrail-m | 198 K | — |
| 789 | aya-expanse-8b-AWQ | 9.1 B | 8 K | gpl-3.0 | 198 K | from 10.5 GB |
| 790 | Qwen3-4B-Thinking-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 197 K | from 6.9 GB |
| 791 | Qwen-Image | 20.4 B | — | ✓ apache-2.0 | 197 K | from 67.0 GB |
| 792 | Qwen2.5-Coder-32B-Instruct-GGUF | — | — | ✓ apache-2.0 | 197 K | from 9.1 GB |
| 793 | NVIDIA-Nemotron-3-Super-120B-A12B-FP8 | 123.6 B | 262 K | other | 197 K | from 160.2 GB |
| 794 | PowerLM-3b | 3.5 B | 4 K | ✓ apache-2.0 | 195 K | from 16.5 GB |
| 795 | Kimi-K2.7-Code-NVFP4 | — | — | other | 194 K | from 655.2 GB |
| 796 | GLM-4.7-Flash-MLX-6bit | 29.9 B | 203 K | ✓ mit | 194 K | from 31.8 GB |
| 797 | Z-Image-Lora | — | — | ✓ apache-2.0 | 193 K | from 106.7 GB |
| 798 | Qwen1.5-MoE-A2.7B | 14.3 B | 8 K | other | 193 K | from 34.1 GB |
| 799 | OLMoE-1B-7B-0924 | 6.9 B | 4 K | ✓ apache-2.0 | 192 K | from 16.8 GB |
| 800 | talkie-1930-13b-it-hf | 13.3 B | 2 K | ✓ apache-2.0 | 191 K | from 31.7 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.