1,023 models · refreshed nightly
Models that run on RTX 4090 · 24 GB
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 | On RTX 4090 · 24 GB |
|---|---|---|---|---|---|---|
| 551 | Gemma-4-26B-A4B-it-NVFP4 | 15.1 B | — | ✓ apache-2.0 | 168 K | 20.8 GB |
| 552 | Meta-Llama-3.1-8B-Instruct-AWQ-INT4 | 8.0 B | 131 K | ⚠ llama3.1 | 167 K | 8.0 GB |
| 553 | Qwen3-30B-A3B-GPTQ-Int4 | 30.5 B | 41 K | ✓ apache-2.0 | 167 K | 23.7 GB |
| 554 | Agents-A1-4B | 4.5 B | — | ✓ apache-2.0 | 167 K | 11.2 GB |
| 555 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 167 K | 4.1 GB |
| 556 | RnJ-1-Instruct-FP8 | 8.8 B | 33 K | ⚠ gemma | 164 K | 15.0 GB |
| 557 | Llama-3.2-1B-Instruct-GGUF | — | — | ⚠ llama3.2 | 162 K | 1.2 GB |
| 558 | Qwen3-4B-Instruct-2507-NVFP4 | 2.8 B | 262 K | ✓ apache-2.0 | 161 K | 4.9 GB |
| 559 | stable-diffusion-xl-1.0-inpainting-0.1 | 2.6 B | — | ⚠ openrail++ | 155 K | 23.8 GB |
| 560 | opus-mt-tc-big-tr-en | 230 M | 1 K | ✓ cc-by-4.0 | 154 K | 1.1 GB |
| 561 | animagine-xl-3.1 | 2.6 B | — | ⚠ openrail++ | 153 K | 16.1 GB |
| 562 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 151 K | 8.5 GB |
| 563 | financial-summarization-pegasus | 570 M | 512 | unknown | 148 K | 3.1 GB |
| 564 | dreamshaper-8 | 860 M | — | ⚠ creativeml-openrail-m | 142 K | 9.7 GB |
| 565 | one-obsession-17-red-sdxl | 2.6 B | — | other | 140 K | 8.5 GB |
| 566 | Hunyuan-MT-7B-GGUF | — | — | unknown | 137 K | 3.1 GB |
| 567 | amanatsu-illustrious-v11-sdxl | 2.6 B | — | other | 135 K | 8.5 GB |
| 568 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 128 K | 3.5 GB |
| 569 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 126 K | 4.9 GB |
| 570 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 119 K | 10.4 GB |
| 571 | FLUX.1-dev-gguf | — | — | other | 109 K | 4.9 GB |
| 572 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 97 K | 6.2 GB |
| 573 | Hy-MT2-1.8B | 2.0 B | 262 K | ✓ apache-2.0 | 96 K | 5.3 GB |
| 574 | stable-diffusion-v1-5 | 860 M | — | unknown | 92 K | 8.3 GB |
| 575 | T5-base-10K-summarization | 220 M | — | unknown | 84 K | 1.5 GB |
| 576 | mbart-large-en-ro | 610 M | 1 K | ✓ mit | 82 K | 1.9 GB |
| 577 | diving-illustrious-real-asian-v50-sdxl | 2.6 B | — | other | 81 K | 8.5 GB |
| 578 | HunyuanDiT-v1.1-Diffusers-Distilled | 1.5 B | — | other | 79 K | 16.7 GB |
| 579 | Qwen-Image-2512-GGUF | — | — | ✓ apache-2.0 | 77 K | 8.6 GB |
| 580 | sdxl-turbo | — | — | ✓ apache-2.0 | 77 K | 15.8 GB |
| 581 | picx-real | 860 M | — | ⚠ openrail | 75 K | 3.6 GB |
| 582 | sd-xl-alternative-bases | — | — | ⚠ openrail++ | 73 K | 15.9 GB |
| 583 | controlnet-openpose-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 71 K | 6.2 GB |
| 584 | Illustrious-xl-early-release-v0 | 2.6 B | — | other | 69 K | 23.8 GB |
| 585 | mbart-large-50-many-to-many-mmt | 610 M | 1 K | unknown | 69 K | 3.3 GB |
| 586 | janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl | 2.6 B | — | other | 68 K | 8.5 GB |
| 587 | hassaku-xl-illustrious-v31-sdxl | 2.6 B | — | other | 62 K | 8.5 GB |
| 588 | Krea-2-Turbo-GGUF | — | — | other | 61 K | 5.9 GB |
| 589 | obsession-illustriousxl-v10-sdxl | 2.6 B | — | other | 61 K | 8.5 GB |
| 590 | sarvam-translate | 4.3 B | — | gpl-3.0 | 60 K | 10.6 GB |
| 591 | animagine-xl-3.0 | 2.6 B | — | ⚠ openrail++ | 58 K | 16.1 GB |
| 592 | lcm-lora-sdv1-5 | — | — | ⚠ openrail++ | 58 K | 0.6 GB |
| 593 | Z-Image-Turbo-FP8 | — | — | ✓ apache-2.0 | 58 K | 14.0 GB |
| 594 | noobai-XL-1.1 | 2.6 B | — | other | 56 K | 16.3 GB |
| 595 | InstantID | — | — | ✓ apache-2.0 | 55 K | 3.3 GB |
| 596 | Krea2_FP8 | — | — | other | 53 K | 20.7 GB |
| 597 | controlnet-openpose-sdxl-1.0 | — | — | other | 51 K | 6.9 GB |
| 598 | Z-Image-Turbo-GGUF | — | — | ✓ apache-2.0 | 49 K | 4.5 GB |
| 599 | ideogram-4-nf4 | 4.8 B | — | other | 45 K | 18.9 GB |
| 600 | flux-klein-9b-Biglove-Collection | — | — | ✗ cc-by-nc-4.0 | 45 K | 7.6 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.