1,299 models · 1,089 open weights · 210 API-only · refreshed nightly
All models
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 | Min VRAM |
|---|---|---|---|---|---|---|
| 901 | Flux-1-Kontext-Dev | — | — | other | 144 K | from 13.6 GB |
| 902 | DeepSeek-V4-Pro-0813 | 1,650.5 B | 1.0 M | ✓ mit | 142 K | from 1,230.1 GB |
| 903 | MOSS-Image-SFT-GGUF | — | — | ✓ apache-2.0 | 142 K | from 3.6 GB |
| 904 | Qwen3-Next-80B-A3B-Instruct | 81.3 B | 262 K | ✓ apache-2.0 | 141 K | from 191.6 GB |
| 905 | Wan2.2-I2V_General-NSFW-LoRA | — | — | unknown | 140 K | from 1.8 GB |
| 906 | Qwen3-235B-A22B-Instruct-2507 | 235.1 B | 262 K | ✓ apache-2.0 | 139 K | from 553.0 GB |
| 907 | opus-mt-es-en | — | 512 | ✓ apache-2.0 | 139 K | — |
| 908 | Qwen-Image-GGUF | 20.4 B | — | ✓ apache-2.0 | 138 K | from 12.1 GB |
| 909 | MiMo-V2.5 | 310.8 B | 1.0 M | ✓ mit | 137 K | from 394.4 GB |
| 910 | opus-mt-ru-en | — | 512 | ✓ cc-by-4.0 | 133 K | — |
| 911 | ERNIE-Image | 8.0 B | — | ✓ apache-2.0 | 130 K | from 53.5 GB |
| 912 | opus-mt-it-en | — | 512 | ✓ apache-2.0 | 128 K | — |
| 913 | opus-mt-en-es | — | 512 | ✓ apache-2.0 | 127 K | — |
| 914 | MeinaMix | — | — | ⚠ creativeml-openrail-m | 127 K | from 68.4 GB |
| 915 | FLUX.1-schnell | 11.9 B | — | ✓ apache-2.0 | 124 K | from 65.9 GB |
| 916 | opus-mt-nl-en | — | 512 | ✓ apache-2.0 | 123 K | — |
| 917 | Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 | 33.0 B | — | other | 122 K | from 78.1 GB |
| 918 | Qwen-Image-2.1-GGUF | — | — | unknown | 119 K | from 3.3 GB |
| 919 | lcm-lora-sdv1-5 | — | — | ⚠ openrail++ | 116 K | from 0.6 GB |
| 920 | Krea-2-Turbo-GGUF | — | — | other | 116 K | from 5.9 GB |
| 921 | CyberRealisticPony | — | — | ⚠ creativeml-openrail-m | 114 K | from 298.0 GB |
| 922 | Qwen-Image-GGUF | — | — | ✓ apache-2.0 | 113 K | from 0.8 GB |
| 923 | NetaYume-Lumina-Image-2.0 | — | — | ✓ apache-2.0 | 112 K | from 99.5 GB |
| 924 | Flux2-Klein-9B-True-V2 | — | — | other | 112 K | from 6.8 GB |
| 925 | GLM-4.5 | 358.3 B | 131 K | ✓ mit | 111 K | from 842.6 GB |
| 926 | Llama-4-Scout-17B-16E-Instruct | 108.6 B | — | other | 110 K | from 255.8 GB |
| 927 | z-image-turbo-nsfw-v2-GGUF | — | — | ✓ apache-2.0 | 108 K | from 8.4 GB |
| 928 | opus-mt-ar-en | — | 512 | ✓ apache-2.0 | 107 K | — |
| 929 | Krea-2-Raw | 12.8 B | — | other | 107 K | from 70.6 GB |
| 930 | janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl | 2.6 B | — | other | 107 K | from 8.5 GB |
| 931 | Mistral-Small-3.2-24B-Instruct-2506 | 24.0 B | — | ✓ apache-2.0 | 105 K | from 109.8 GB |
| 932 | opus-mt-ko-en | — | 512 | ✓ apache-2.0 | 103 K | — |
| 933 | HunyuanDiT-v1.1-Diffusers-Distilled | 1.5 B | — | other | 101 K | from 16.7 GB |
| 934 | HiDream | — | — | ✓ mit | 100 K | from 262.9 GB |
| 935 | Qwen-Image-2.1-Turbo-Quantized | — | — | other | 100 K | from 5.0 GB |
| 936 | Qwen2.5-VL-72B-Instruct | 73.4 B | 128 K | other | 99 K | from 173.0 GB |
| 937 | dreamshaper-xl-v2-turbo | 2.6 B | — | ⚠ openrail++ | 99 K | from 46.7 GB |
| 938 | RealVisXL_V5.0_Lightning | 2.6 B | — | ⚠ openrail++ | 98 K | from 46.7 GB |
| 939 | FLUX.1-schnell-GGUF | 11.9 B | — | ✓ apache-2.0 | 98 K | from 6.7 GB |
| 940 | LUSTIFY-v2.0 | 2.6 B | — | unknown | 97 K | from 31.4 GB |
| 941 | Mistral-Nemo-Instruct-2407 | 12.2 B | 131 K | ✓ apache-2.0 | 97 K | from 56.2 GB |
| 942 | Krea2_NSFW_Uncensored_Complete | 12.8 B | — | ✓ apache-2.0 | 96 K | from 22.9 GB |
| 943 | Krea2_turbo_diff_loras | 12.8 B | — | unknown | 96 K | from 895.2 GB |
| 944 | noobai-XL-1.0 | 2.6 B | — | other | 95 K | from 16.1 GB |
| 945 | Hy-MT2-30B-A3B | 30.1 B | 262 K | ✓ apache-2.0 | 95 K | from 71.2 GB |
| 946 | Qwen-Image-2512-Lightning | 20.4 B | — | ✓ apache-2.0 | 95 K | from 121.8 GB |
| 947 | ideogram-4-gguf | 9.3 B | — | other | 94 K | from 8.1 GB |
| 948 | Ministral-3-8B-Instruct-2512 | 8.9 B | — | ✓ apache-2.0 | 94 K | from 24.8 GB |
| 949 | SilvermoonMix-Anima-Evolved | — | — | other | 93 K | from 26.0 GB |
| 950 | P-Q-Image-2.1 | 7.1 B | — | other | 93 K | from 3.8 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.