1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Models that run on RTX 4090 · 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 RTX 4090 · 24 GB |
|---|---|---|---|---|---|---|
| 651 | stable-diffusion-v1-1 | — | — | ⚠ creativeml-openrail-m | 165 K | 3.5 GB |
| 652 | LFM2.5-350M-GGUF | 350 M | 128 K | other | 165 K | 0.8 GB |
| 653 | Parable-Granite-4.1-3B-Claude-Fable-5-GGUF | 3.0 B | 131 K | ✓ apache-2.0 | 163 K | 3.3 GB |
| 654 | Parable-Granite-4.1-8B-Claude-Fable-5-GGUF | 8.0 B | 131 K | ✓ apache-2.0 | 162 K | 7.3 GB |
| 655 | Qwen3-8B-GGUF | — | 41 K | ✓ apache-2.0 | 162 K | 4.1 GB |
| 656 | Qwen1.5-1.8B-Chat | 1.8 B | 33 K | other | 161 K | 4.8 GB |
| 657 | LFM2.5-350M | 355 M | 128 K | other | 161 K | 1.3 GB |
| 658 | DeepSeek-R1-0528-Qwen3-8B-GGUF | 8.0 B | 131 K | ✓ mit | 161 K | 5.3 GB |
| 659 | Qwen2-7B | 7.6 B | 131 K | ✓ apache-2.0 | 157 K | 18.4 GB |
| 660 | Bonsai-1.7B-gguf | 1.7 B | — | ✓ apache-2.0 | 157 K | 1.0 GB |
| 661 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 156 K | 10.4 GB |
| 662 | Qwen3-Coder-30B-A3B-Instruct-AWQ | 30.0 B | 262 K | ✓ apache-2.0 | 155 K | 23.4 GB |
| 663 | transformer-1.3B-100B | 1.4 B | 2 K | ✓ mit | 153 K | 3.7 GB |
| 664 | Qwen3-4B-Instruct-2507-unsloth-bnb-4bit | 4.0 B | 262 K | ✓ apache-2.0 | 151 K | 5.0 GB |
| 665 | LFM2-24B-A2B-MLX-4bit | 23.8 B | 128 K | other | 151 K | 18.8 GB |
| 666 | CodeLlama-7b-hf | 6.7 B | 16 K | ⚠ llama2 | 151 K | 16.3 GB |
| 667 | LFM2-24B-A2B-MLX-5bit | 23.8 B | 128 K | other | 149 K | 22.1 GB |
| 668 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 149 K | 4.1 GB |
| 669 | Qwen3.8-27B-Uncensored-GGUF | 27.0 B | — | ✓ apache-2.0 | 149 K | 5.6 GB |
| 670 | madlad400-3b-mt | 2.9 B | — | ✓ apache-2.0 | 148 K | 2.8 GB |
| 671 | Qwen2.5-14B-Instruct-GGUF | 14.0 B | 33 K | ✓ apache-2.0 | 147 K | 8.5 GB |
| 672 | Flux-1-Kontext-Dev | — | — | other | 145 K | 13.6 GB |
| 673 | pythia-160m-deduped | 210 M | 2 K | ✓ apache-2.0 | 145 K | 0.9 GB |
| 674 | Qwopus3.6-27B-Fusion-GGUF | — | — | other | 145 K | 15.4 GB |
| 675 | Granite-4.2-3B-BE-GGUF | 3.0 B | — | ✓ apache-2.0 | 144 K | 2.6 GB |
| 676 | Nanbeige_Nanbeige4.3-33B-GGUF | 33.0 B | — | ✓ apache-2.0 | 140 K | 16.5 GB |
| 677 | DeepSeek-R1-Distill-Qwen-7B-GGUF | 7.0 B | 131 K | unknown | 139 K | 4.6 GB |
| 678 | typhoon2.5-qwen3-4b | 4.0 B | 262 K | ✓ apache-2.0 | 139 K | 10.0 GB |
| 679 | JevK5 | 4.2 B | 262 K | ✓ apache-2.0 | 138 K | 10.4 GB |
| 680 | needle3 | — | 8 K | ✓ apache-2.0 | 136 K | 0.8 GB |
| 681 | Wan2.2-I2V_General-NSFW-LoRA | — | — | unknown | 136 K | 1.8 GB |
| 682 | Qwen-Image-GGUF | 20.4 B | — | ✓ apache-2.0 | 136 K | 12.1 GB |
| 683 | P-Q-Image-2.1 | 7.1 B | — | other | 134 K | 3.8 GB |
| 684 | MOSS-Image-SFT-GGUF | — | — | ✓ apache-2.0 | 134 K | 3.6 GB |
| 685 | NVIDIA-Nemotron-3.5-Bolt-E4B-4GB | 4.0 B | — | other | 132 K | 7.9 GB |
| 686 | Qwen2.5-Coder-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 132 K | 18.4 GB |
| 687 | Llama-3.2-1B-Instruct-GGUF | — | — | ⚠ llama3.2 | 132 K | 1.2 GB |
| 688 | Qwen2.5-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 130 K | 18.4 GB |
| 689 | lcm-lora-sdv1-5 | — | — | ⚠ openrail++ | 122 K | 0.6 GB |
| 690 | Krea-2-Turbo-GGUF | — | — | other | 114 K | 5.9 GB |
| 691 | Qwen-Image-2.1-GGUF | — | — | unknown | 109 K | 3.3 GB |
| 692 | Flux2-Klein-9B-True-V2 | — | — | other | 109 K | 6.8 GB |
| 693 | janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl | 2.6 B | — | other | 108 K | 8.5 GB |
| 694 | Qwen-Image-GGUF | — | — | ✓ apache-2.0 | 107 K | 0.8 GB |
| 695 | z-image-turbo-nsfw-v2-GGUF | — | — | ✓ apache-2.0 | 105 K | 8.4 GB |
| 696 | HunyuanDiT-v1.1-Diffusers-Distilled | 1.5 B | — | other | 101 K | 16.7 GB |
| 697 | Krea2_NSFW_Uncensored_Complete | 12.8 B | — | ✓ apache-2.0 | 99 K | 22.9 GB |
| 698 | Krea2_FP8 | — | — | other | 97 K | 20.7 GB |
| 699 | opus-mt-tc-big-ko-en | 210 M | 1 K | ✓ cc-by-4.0 | 95 K | 1.0 GB |
| 700 | ideogram-4-gguf | 9.3 B | — | other | 94 K | 8.1 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.