1,000 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 | Agents-A1-4B-Q8_0-GGUF | — | — | ✓ apache-2.0 | 230 K | 1.2 GB |
| 552 | Qwen3-0.6B-GGUF | 600 M | 41 K | ✓ apache-2.0 | 229 K | 1.3 GB |
| 553 | Mistral-7B-Instruct-v0.3-AWQ | 7.3 B | 33 K | ✓ apache-2.0 | 229 K | 6.2 GB |
| 554 | Yi-Coder-9B-Chat-GGUF | — | — | unknown | 227 K | 2.7 GB |
| 555 | Qwen2.5-14B-Instruct-GPTQ-Int4 | 14.8 B | 33 K | ✓ apache-2.0 | 227 K | 13.7 GB |
| 556 | Ornith-1.5-9B-MLX-6bit | 9.0 B | — | unknown | 226 K | 9.8 GB |
| 557 | Llama-3.2-3B-Instruct-GGUF | — | 131 K | ⚠ llama3.2 | 224 K | 2.0 GB |
| 558 | Qwen2.5-1.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 224 K | 1.3 GB |
| 559 | Qwen-Image-2512-GGUF | — | — | ✓ apache-2.0 | 222 K | 8.6 GB |
| 560 | hyenadna-medium-450k-seqlen-hf | 28 M | — | ✓ bsd-3-clause | 221 K | 0.6 GB |
| 561 | Olmo-3-7B-Instruct-SFT | 7.3 B | 66 K | ✓ apache-2.0 | 220 K | 17.7 GB |
| 562 | Llama-2-7b-hf | 6.7 B | 4 K | unknown | 220 K | 16.3 GB |
| 563 | Qwen3-14B-GGUF | — | — | ✓ apache-2.0 | 219 K | 10.4 GB |
| 564 | CAJAL-4B | — | — | ✓ apache-2.0 | 219 K | 3.5 GB |
| 565 | Llama-3.1-Nemotron-Nano-8B-v1 | 8.0 B | 131 K | other | 218 K | 19.4 GB |
| 566 | granite-4.1-8b | 8.8 B | 131 K | ✓ apache-2.0 | 218 K | 21.2 GB |
| 567 | GLM-4.7-Flash-GGUF | — | — | ✓ mit | 216 K | 13.0 GB |
| 568 | Gemma-4-E4B-DECKARD-HERETIC-NVFP4 | 6.2 B | — | ⚠ gemma | 216 K | 12.6 GB |
| 569 | TinyLLama-v0 | <0.1 M | 2 K | ✓ apache-2.0 | 215 K | 0.5 GB |
| 570 | DeepSeek-R1-Distill-Llama-8B | 8.0 B | 131 K | ✓ mit | 215 K | 19.4 GB |
| 571 | Qwen2-7B | 7.6 B | 131 K | ✓ apache-2.0 | 214 K | 18.4 GB |
| 572 | wildguard | 7.3 B | — | ✓ apache-2.0 | 214 K | 17.5 GB |
| 573 | Phi-3-mini-128k-instruct | 3.8 B | 131 K | ✓ mit | 214 K | 9.5 GB |
| 574 | Qwen3-30B-A3B-GPTQ-Int4 | 30.5 B | 41 K | ✓ apache-2.0 | 208 K | 23.7 GB |
| 575 | Qwen_Qwen3-Next-80B-A3B-Thinking-GGUF | — | — | ✓ apache-2.0 | 208 K | 18.7 GB |
| 576 | Bielik-11B-v3.0-Instruct-awq | 11.3 B | 33 K | ✓ apache-2.0 | 208 K | 9.0 GB |
| 577 | Qwen2.5-Math-1.5B | 1.5 B | 4 K | ✓ apache-2.0 | 208 K | 4.1 GB |
| 578 | Qwen3.6-35B-A3B-DFlash | 390 M | 262 K | ✓ apache-2.0 | 208 K | 1.4 GB |
| 579 | Qwen3Guard-Gen-4B | 4.4 B | 33 K | ✓ apache-2.0 | 207 K | 10.9 GB |
| 580 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 202 K | 4.9 GB |
| 581 | indictrans2-en-indic-dist-200M | 270 M | — | ✓ mit | 191 K | 1.7 GB |
| 582 | IP-Adapter-FaceID | — | — | unknown | 185 K | 1.5 GB |
| 583 | nllb-200-3.3B | 3.3 B | 1 K | ✗ cc-by-nc-4.0 | 179 K | 8.3 GB |
| 584 | animagine-xl-3.1 | 2.6 B | — | ⚠ openrail++ | 170 K | 16.1 GB |
| 585 | opus-mt-tc-big-tr-en | 230 M | 1 K | ✓ cc-by-4.0 | 155 K | 1.1 GB |
| 586 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 141 K | 10.4 GB |
| 587 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 138 K | 8.5 GB |
| 588 | opus-mt-tc-big-ko-en | 210 M | 1 K | ✓ cc-by-4.0 | 136 K | 1.0 GB |
| 589 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 126 K | 3.5 GB |
| 590 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 118 K | 6.2 GB |
| 591 | noobai-XL-1.1 | 2.6 B | — | other | 116 K | 16.3 GB |
| 592 | controlnet-openpose-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 109 K | 6.2 GB |
| 593 | novaAnimeXL_ilV140 | 2.6 B | — | unknown | 108 K | 16.1 GB |
| 594 | stable-diffusion-xl-1.0-inpainting-0.1 | 2.6 B | — | ⚠ openrail++ | 104 K | 23.8 GB |
| 595 | mbart-large-en-ro | 610 M | 1 K | ✓ mit | 102 K | 1.9 GB |
| 596 | Hy-MT2-1.8B | 2.0 B | 262 K | ✓ apache-2.0 | 96 K | 5.3 GB |
| 597 | Wan2.2-I2V_General-NSFW-LoRA | — | — | unknown | 93 K | 1.8 GB |
| 598 | lcm-lora-sdv1-5 | — | — | ⚠ openrail++ | 93 K | 0.6 GB |
| 599 | nllb-200-1.3B | 1.3 B | 1 K | ✗ cc-by-nc-4.0 | 93 K | 3.6 GB |
| 600 | Z-Image-Turbo-FP8 | — | — | ✓ apache-2.0 | 92 K | 14.0 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.