1,000 models · refreshed nightly
Models that run on RTX 3060 · 12 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 3060 · 12 GB |
|---|---|---|---|---|---|---|
| 451 | hyenadna-medium-450k-seqlen-hf | 28 M | — | ✓ bsd-3-clause | 221 K | 0.6 GB |
| 452 | Qwen3-14B-GGUF | — | — | ✓ apache-2.0 | 219 K | 10.4 GB |
| 453 | CAJAL-4B | — | — | ✓ apache-2.0 | 219 K | 3.5 GB |
| 454 | TinyLLama-v0 | <0.1 M | 2 K | ✓ apache-2.0 | 215 K | 0.5 GB |
| 455 | Phi-3-mini-128k-instruct | 3.8 B | 131 K | ✓ mit | 214 K | 9.5 GB |
| 456 | Bielik-11B-v3.0-Instruct-awq | 11.3 B | 33 K | ✓ apache-2.0 | 208 K | 9.0 GB |
| 457 | Qwen2.5-Math-1.5B | 1.5 B | 4 K | ✓ apache-2.0 | 208 K | 4.1 GB |
| 458 | Qwen3.6-35B-A3B-DFlash | 390 M | 262 K | ✓ apache-2.0 | 208 K | 1.4 GB |
| 459 | Qwen3Guard-Gen-4B | 4.4 B | 33 K | ✓ apache-2.0 | 207 K | 10.9 GB |
| 460 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 202 K | 4.9 GB |
| 461 | indictrans2-en-indic-dist-200M | 270 M | — | ✓ mit | 191 K | 1.7 GB |
| 462 | IP-Adapter-FaceID | — | — | unknown | 185 K | 1.5 GB |
| 463 | nllb-200-3.3B | 3.3 B | 1 K | ✗ cc-by-nc-4.0 | 179 K | 8.3 GB |
| 464 | opus-mt-tc-big-tr-en | 230 M | 1 K | ✓ cc-by-4.0 | 155 K | 1.1 GB |
| 465 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 141 K | 10.4 GB |
| 466 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 138 K | 8.5 GB |
| 467 | opus-mt-tc-big-ko-en | 210 M | 1 K | ✓ cc-by-4.0 | 136 K | 1.0 GB |
| 468 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 126 K | 3.5 GB |
| 469 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 118 K | 6.2 GB |
| 470 | controlnet-openpose-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 109 K | 6.2 GB |
| 471 | mbart-large-en-ro | 610 M | 1 K | ✓ mit | 102 K | 1.9 GB |
| 472 | Hy-MT2-1.8B | 2.0 B | 262 K | ✓ apache-2.0 | 96 K | 5.3 GB |
| 473 | Wan2.2-I2V_General-NSFW-LoRA | — | — | unknown | 93 K | 1.8 GB |
| 474 | lcm-lora-sdv1-5 | — | — | ⚠ openrail++ | 93 K | 0.6 GB |
| 475 | nllb-200-1.3B | 1.3 B | 1 K | ✗ cc-by-nc-4.0 | 93 K | 3.6 GB |
| 476 | amanatsu-illustrious-v11-sdxl | 2.6 B | — | other | 91 K | 8.5 GB |
| 477 | janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl | 2.6 B | — | other | 88 K | 8.5 GB |
| 478 | dreamshaper-8 | 860 M | — | ⚠ creativeml-openrail-m | 87 K | 9.7 GB |
| 479 | one-obsession-17-red-sdxl | 2.6 B | — | other | 86 K | 8.5 GB |
| 480 | mbart-large-50-many-to-many-mmt | 610 M | 1 K | unknown | 85 K | 3.3 GB |
| 481 | girlslike-krea2 | 12.8 B | — | ✓ apache-2.0 | 84 K | 7.3 GB |
| 482 | T5-base-10K-summarization | 220 M | — | unknown | 84 K | 1.5 GB |
| 483 | FLUX.2-klein-4B-mflux-4bit | — | — | ✓ apache-2.0 | 82 K | 5.6 GB |
| 484 | diving-illustrious-real-asian-v50-sdxl | 2.6 B | — | other | 79 K | 8.5 GB |
| 485 | controlnet-openpose-sdxl-1.0 | — | — | other | 69 K | 6.9 GB |
| 486 | ideogram-4-gguf | 9.3 B | — | other | 69 K | 8.1 GB |
| 487 | waiIllustriousSDXL_v170 | — | — | cdla-permissive-2.0 | 68 K | 8.1 GB |
| 488 | Z-Image-GGUF | — | — | ✓ apache-2.0 | 66 K | 4.9 GB |
| 489 | obsession-illustriousxl-v10-sdxl | 2.6 B | — | other | 63 K | 8.5 GB |
| 490 | sarvam-translate | 4.3 B | — | gpl-3.0 | 61 K | 10.6 GB |
| 491 | Krea-2-Turbo-GGUF | — | — | other | 60 K | 5.9 GB |
| 492 | madlad400-3b-mt | 2.9 B | — | ✓ apache-2.0 | 59 K | 2.8 GB |
| 493 | flux-ip-adapter | — | — | other | 58 K | 1.6 GB |
| 494 | InstantID | — | — | ✓ apache-2.0 | 58 K | 3.3 GB |
| 495 | Flux2-Klein-9B-True-V3 | — | — | ✓ apache-2.0 | 56 K | 6.8 GB |
| 496 | Z-Image-Turbo-GGUF | — | — | ✓ apache-2.0 | 56 K | 3.4 GB |
| 497 | girlslike-zimage | 6.2 B | — | ✓ apache-2.0 | 55 K | 8.2 GB |
| 498 | text_summarization | 60 M | — | ✓ apache-2.0 | 54 K | 0.8 GB |
| 499 | financial-summarization-pegasus | 570 M | 512 | unknown | 52 K | 3.1 GB |
| 500 | Qwen-Image-gguf | — | — | ✓ apache-2.0 | 51 K | 8.3 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.