1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Models that run on 2 × 24 GB
Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | On 2 × 24 GB |
|---|---|---|---|---|---|---|
| 751 | LFM2-24B-A2B-MLX-5bit | 23.8 B | 128 K | other | 149 K | 22.1 GB |
| 752 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 149 K | 4.1 GB |
| 753 | LFM2-24B-A2B-MLX-8bit | 23.8 B | 128 K | other | 149 K | 31.9 GB |
| 754 | LFM2-24B-A2B-MLX-6bit | 23.8 B | 128 K | other | 149 K | 25.4 GB |
| 755 | Qwen3.8-27B-Uncensored-GGUF | 27.0 B | — | ✓ apache-2.0 | 149 K | 5.6 GB |
| 756 | madlad400-3b-mt | 2.9 B | — | ✓ apache-2.0 | 148 K | 2.8 GB |
| 757 | Llama-2-13b-chat-hf | 13.0 B | — | ⚠ llama2 | 147 K | 31.1 GB |
| 758 | Qwen2.5-14B-Instruct-GGUF | 14.0 B | 33 K | ✓ apache-2.0 | 147 K | 8.5 GB |
| 759 | Flux-1-Kontext-Dev | — | — | other | 145 K | 13.6 GB |
| 760 | pythia-160m-deduped | 210 M | 2 K | ✓ apache-2.0 | 145 K | 0.9 GB |
| 761 | Qwopus3.6-27B-Fusion-GGUF | — | — | other | 145 K | 15.4 GB |
| 762 | Granite-4.2-3B-BE-GGUF | 3.0 B | — | ✓ apache-2.0 | 144 K | 2.6 GB |
| 763 | Nanbeige_Nanbeige4.3-33B-GGUF | 33.0 B | — | ✓ apache-2.0 | 140 K | 16.5 GB |
| 764 | DeepSeek-R1-Distill-Qwen-7B-GGUF | 7.0 B | 131 K | unknown | 139 K | 4.6 GB |
| 765 | typhoon2.5-qwen3-4b | 4.0 B | 262 K | ✓ apache-2.0 | 139 K | 10.0 GB |
| 766 | JevK5 | 4.2 B | 262 K | ✓ apache-2.0 | 138 K | 10.4 GB |
| 767 | Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated-NVFP4 | 30.0 B | 262 K | ✓ apache-2.0 | 138 K | 24.9 GB |
| 768 | needle3 | — | 8 K | ✓ apache-2.0 | 136 K | 0.8 GB |
| 769 | Wan2.2-I2V_General-NSFW-LoRA | — | — | unknown | 136 K | 1.8 GB |
| 770 | Qwen-Image-GGUF | 20.4 B | — | ✓ apache-2.0 | 136 K | 12.1 GB |
| 771 | GLM-4.7-Flash-MLX-8bit | 29.9 B | 203 K | ✓ mit | 136 K | 40.0 GB |
| 772 | P-Q-Image-2.1 | 7.1 B | — | other | 134 K | 3.8 GB |
| 773 | Hy-Memory-30B-A3B-GGUF | 30.0 B | — | ✓ apache-2.0 | 134 K | 25.1 GB |
| 774 | MOSS-Image-SFT-GGUF | — | — | ✓ apache-2.0 | 134 K | 3.6 GB |
| 775 | NVIDIA-Nemotron-3.5-Bolt-E4B-4GB | 4.0 B | — | other | 132 K | 7.9 GB |
| 776 | Qwen2.5-Coder-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 132 K | 18.4 GB |
| 777 | Llama-3.2-1B-Instruct-GGUF | — | — | ⚠ llama3.2 | 132 K | 1.2 GB |
| 778 | Qwen2.5-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 130 K | 18.4 GB |
| 779 | lcm-lora-sdv1-5 | — | — | ⚠ openrail++ | 122 K | 0.6 GB |
| 780 | Krea-2-Turbo-GGUF | — | — | other | 114 K | 5.9 GB |
| 781 | Qwen-Image-2.1-GGUF | — | — | unknown | 109 K | 3.3 GB |
| 782 | Flux2-Klein-9B-True-V2 | — | — | other | 109 K | 6.8 GB |
| 783 | janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl | 2.6 B | — | other | 108 K | 8.5 GB |
| 784 | Qwen-Image-GGUF | — | — | ✓ apache-2.0 | 107 K | 0.8 GB |
| 785 | z-image-turbo-nsfw-v2-GGUF | — | — | ✓ apache-2.0 | 105 K | 8.4 GB |
| 786 | HunyuanDiT-v1.1-Diffusers-Distilled | 1.5 B | — | other | 101 K | 16.7 GB |
| 787 | Krea2_NSFW_Uncensored_Complete | 12.8 B | — | ✓ apache-2.0 | 99 K | 22.9 GB |
| 788 | RealVisXL_V5.0_Lightning | 2.6 B | — | ⚠ openrail++ | 98 K | 46.7 GB |
| 789 | dreamshaper-xl-v2-turbo | 2.6 B | — | ⚠ openrail++ | 97 K | 46.7 GB |
| 790 | Krea2_FP8 | — | — | other | 97 K | 20.7 GB |
| 791 | LUSTIFY-v2.0 | 2.6 B | — | unknown | 95 K | 31.4 GB |
| 792 | opus-mt-tc-big-ko-en | 210 M | 1 K | ✓ cc-by-4.0 | 95 K | 1.0 GB |
| 793 | ideogram-4-gguf | 9.3 B | — | other | 94 K | 8.1 GB |
| 794 | Ministral-3-8B-Instruct-2512 | 8.9 B | — | ✓ apache-2.0 | 94 K | 24.8 GB |
| 795 | SilvermoonMix-Anima-Evolved | — | — | other | 94 K | 26.0 GB |
| 796 | stable-diffusion-xl-1.0-inpainting-0.1 | 2.6 B | — | ⚠ openrail++ | 94 K | 23.8 GB |
| 797 | Counterfeit-V2.5 | 860 M | — | ⚠ creativeml-openrail-m | 92 K | 30.2 GB |
| 798 | FLUX.1-schnell-GGUF | 11.9 B | — | ✓ apache-2.0 | 91 K | 6.7 GB |
| 799 | amanatsu-illustrious-v11-sdxl | 2.6 B | — | other | 90 K | 8.5 GB |
| 800 | Llama-Guard-4-12B | 12.0 B | — | other | 90 K | 28.7 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.