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 |
|---|---|---|---|---|---|---|
| 401 | Qwen3-14B-GGUF | — | — | unknown | 184 K | 6.8 GB |
| 402 | openai-gpt | 120 M | — | ✓ mit | 183 K | 1.0 GB |
| 403 | Qwen3-4B-unsloth-bnb-4bit | 4.1 B | 41 K | ✓ apache-2.0 | 183 K | 5.0 GB |
| 404 | Qwen2.5-7B-Instruct-GGUF | — | — | ✓ apache-2.0 | 180 K | 3.6 GB |
| 405 | Qwen3-8B-GGUF | — | — | unknown | 180 K | 4.1 GB |
| 406 | LLaMmlein_1B_prerelease | 1.1 B | 2 K | other | 179 K | 5.5 GB |
| 407 | Pony_Diffusion_V6_XL | — | — | cdla-permissive-2.0 | 179 K | 8.5 GB |
| 408 | Qwen3-1.7B-GGUF | — | — | unknown | 178 K | 1.5 GB |
| 409 | Phi-3-mini-4k-instruct-gptq-4bit | 3.8 B | 4 K | unknown | 178 K | 3.6 GB |
| 410 | llama-3-8b-instruct-awq | 8.0 B | 8 K | unknown | 173 K | 8.0 GB |
| 411 | Qwen2.5-0.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 172 K | 1.0 GB |
| 412 | granite-4.1-3b-GGUF | — | — | ✓ apache-2.0 | 170 K | 2.0 GB |
| 413 | Qwen2.5-7B-Instruct-bnb-4bit | 7.8 B | 33 K | ✓ apache-2.0 | 170 K | 7.8 GB |
| 414 | TinyLlama-1.1B-Chat-v0.3-AWQ | 1.1 B | 2 K | ✓ apache-2.0 | 169 K | 1.5 GB |
| 415 | Meta-Llama-3.1-8B-Instruct-AWQ-INT4 | 8.0 B | 131 K | ⚠ llama3.1 | 167 K | 8.0 GB |
| 416 | Agents-A1-4B | 4.5 B | — | ✓ apache-2.0 | 167 K | 11.2 GB |
| 417 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 167 K | 4.1 GB |
| 418 | Llama-3.2-1B-Instruct-GGUF | — | — | ⚠ llama3.2 | 162 K | 1.2 GB |
| 419 | Qwen3-4B-Instruct-2507-NVFP4 | 2.8 B | 262 K | ✓ apache-2.0 | 161 K | 4.9 GB |
| 420 | opus-mt-tc-big-tr-en | 230 M | 1 K | ✓ cc-by-4.0 | 154 K | 1.1 GB |
| 421 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 151 K | 8.5 GB |
| 422 | financial-summarization-pegasus | 570 M | 512 | unknown | 148 K | 3.1 GB |
| 423 | dreamshaper-8 | 860 M | — | ⚠ creativeml-openrail-m | 142 K | 9.7 GB |
| 424 | one-obsession-17-red-sdxl | 2.6 B | — | other | 140 K | 8.5 GB |
| 425 | Hunyuan-MT-7B-GGUF | — | — | unknown | 137 K | 3.1 GB |
| 426 | amanatsu-illustrious-v11-sdxl | 2.6 B | — | other | 135 K | 8.5 GB |
| 427 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 128 K | 3.5 GB |
| 428 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 126 K | 4.9 GB |
| 429 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 119 K | 10.4 GB |
| 430 | FLUX.1-dev-gguf | — | — | other | 109 K | 4.9 GB |
| 431 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 97 K | 6.2 GB |
| 432 | Hy-MT2-1.8B | 2.0 B | 262 K | ✓ apache-2.0 | 96 K | 5.3 GB |
| 433 | stable-diffusion-v1-5 | 860 M | — | unknown | 92 K | 8.3 GB |
| 434 | T5-base-10K-summarization | 220 M | — | unknown | 84 K | 1.5 GB |
| 435 | mbart-large-en-ro | 610 M | 1 K | ✓ mit | 82 K | 1.9 GB |
| 436 | diving-illustrious-real-asian-v50-sdxl | 2.6 B | — | other | 81 K | 8.5 GB |
| 437 | Qwen-Image-2512-GGUF | — | — | ✓ apache-2.0 | 77 K | 8.6 GB |
| 438 | picx-real | 860 M | — | ⚠ openrail | 75 K | 3.6 GB |
| 439 | controlnet-openpose-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 71 K | 6.2 GB |
| 440 | mbart-large-50-many-to-many-mmt | 610 M | 1 K | unknown | 69 K | 3.3 GB |
| 441 | janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl | 2.6 B | — | other | 68 K | 8.5 GB |
| 442 | hassaku-xl-illustrious-v31-sdxl | 2.6 B | — | other | 62 K | 8.5 GB |
| 443 | Krea-2-Turbo-GGUF | — | — | other | 61 K | 5.9 GB |
| 444 | obsession-illustriousxl-v10-sdxl | 2.6 B | — | other | 61 K | 8.5 GB |
| 445 | sarvam-translate | 4.3 B | — | gpl-3.0 | 60 K | 10.6 GB |
| 446 | lcm-lora-sdv1-5 | — | — | ⚠ openrail++ | 58 K | 0.6 GB |
| 447 | InstantID | — | — | ✓ apache-2.0 | 55 K | 3.3 GB |
| 448 | controlnet-openpose-sdxl-1.0 | — | — | other | 51 K | 6.9 GB |
| 449 | Z-Image-Turbo-GGUF | — | — | ✓ apache-2.0 | 49 K | 4.5 GB |
| 450 | 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.