1,000 models · refreshed nightly
Models that run on Mac M3 · 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 Mac M3 · 24 GB |
|---|---|---|---|---|---|---|
| 501 | Qwen2.5-14B-Instruct-GPTQ-Int4 | 14.8 B | 33 K | ✓ apache-2.0 | 227 K | 13.7 GB |
| 502 | Ornith-1.5-9B-MLX-6bit | 9.0 B | — | unknown | 226 K | 9.8 GB |
| 503 | Llama-3.2-3B-Instruct-GGUF | — | 131 K | ⚠ llama3.2 | 224 K | 2.0 GB |
| 504 | Qwen2.5-1.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 224 K | 1.3 GB |
| 505 | Qwen-Image-2512-GGUF | — | — | ✓ apache-2.0 | 222 K | 8.6 GB |
| 506 | hyenadna-medium-450k-seqlen-hf | 28 M | — | ✓ bsd-3-clause | 221 K | 0.6 GB |
| 507 | Olmo-3-7B-Instruct-SFT | 7.3 B | 66 K | ✓ apache-2.0 | 220 K | 17.7 GB |
| 508 | Llama-2-7b-hf | 6.7 B | 4 K | unknown | 220 K | 16.3 GB |
| 509 | Qwen3-14B-GGUF | — | — | ✓ apache-2.0 | 219 K | 10.4 GB |
| 510 | CAJAL-4B | — | — | ✓ apache-2.0 | 219 K | 3.5 GB |
| 511 | GLM-4.7-Flash-GGUF | — | — | ✓ mit | 216 K | 13.0 GB |
| 512 | Gemma-4-E4B-DECKARD-HERETIC-NVFP4 | 6.2 B | — | ⚠ gemma | 216 K | 12.6 GB |
| 513 | TinyLLama-v0 | <0.1 M | 2 K | ✓ apache-2.0 | 215 K | 0.5 GB |
| 514 | wildguard | 7.3 B | — | ✓ apache-2.0 | 214 K | 17.5 GB |
| 515 | Phi-3-mini-128k-instruct | 3.8 B | 131 K | ✓ mit | 214 K | 9.5 GB |
| 516 | Bielik-11B-v3.0-Instruct-awq | 11.3 B | 33 K | ✓ apache-2.0 | 208 K | 9.0 GB |
| 517 | Qwen2.5-Math-1.5B | 1.5 B | 4 K | ✓ apache-2.0 | 208 K | 4.1 GB |
| 518 | Qwen3.6-35B-A3B-DFlash | 390 M | 262 K | ✓ apache-2.0 | 208 K | 1.4 GB |
| 519 | Qwen3Guard-Gen-4B | 4.4 B | 33 K | ✓ apache-2.0 | 207 K | 10.9 GB |
| 520 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 202 K | 4.9 GB |
| 521 | indictrans2-en-indic-dist-200M | 270 M | — | ✓ mit | 191 K | 1.7 GB |
| 522 | IP-Adapter-FaceID | — | — | unknown | 185 K | 1.5 GB |
| 523 | nllb-200-3.3B | 3.3 B | 1 K | ✗ cc-by-nc-4.0 | 179 K | 8.3 GB |
| 524 | animagine-xl-3.1 | 2.6 B | — | ⚠ openrail++ | 170 K | 16.1 GB |
| 525 | opus-mt-tc-big-tr-en | 230 M | 1 K | ✓ cc-by-4.0 | 155 K | 1.1 GB |
| 526 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 141 K | 10.4 GB |
| 527 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 138 K | 8.5 GB |
| 528 | opus-mt-tc-big-ko-en | 210 M | 1 K | ✓ cc-by-4.0 | 136 K | 1.0 GB |
| 529 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 126 K | 3.5 GB |
| 530 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 118 K | 6.2 GB |
| 531 | noobai-XL-1.1 | 2.6 B | — | other | 116 K | 16.3 GB |
| 532 | controlnet-openpose-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 109 K | 6.2 GB |
| 533 | novaAnimeXL_ilV140 | 2.6 B | — | unknown | 108 K | 16.1 GB |
| 534 | mbart-large-en-ro | 610 M | 1 K | ✓ mit | 102 K | 1.9 GB |
| 535 | Hy-MT2-1.8B | 2.0 B | 262 K | ✓ apache-2.0 | 96 K | 5.3 GB |
| 536 | Wan2.2-I2V_General-NSFW-LoRA | — | — | unknown | 93 K | 1.8 GB |
| 537 | lcm-lora-sdv1-5 | — | — | ⚠ openrail++ | 93 K | 0.6 GB |
| 538 | nllb-200-1.3B | 1.3 B | 1 K | ✗ cc-by-nc-4.0 | 93 K | 3.6 GB |
| 539 | Z-Image-Turbo-FP8 | — | — | ✓ apache-2.0 | 92 K | 14.0 GB |
| 540 | amanatsu-illustrious-v11-sdxl | 2.6 B | — | other | 91 K | 8.5 GB |
| 541 | janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl | 2.6 B | — | other | 88 K | 8.5 GB |
| 542 | dreamshaper-8 | 860 M | — | ⚠ creativeml-openrail-m | 87 K | 9.7 GB |
| 543 | one-obsession-17-red-sdxl | 2.6 B | — | other | 86 K | 8.5 GB |
| 544 | mbart-large-50-many-to-many-mmt | 610 M | 1 K | unknown | 85 K | 3.3 GB |
| 545 | girlslike-krea2 | 12.8 B | — | ✓ apache-2.0 | 84 K | 7.3 GB |
| 546 | T5-base-10K-summarization | 220 M | — | unknown | 84 K | 1.5 GB |
| 547 | FLUX.2-klein-4B-mflux-4bit | — | — | ✓ apache-2.0 | 82 K | 5.6 GB |
| 548 | diving-illustrious-real-asian-v50-sdxl | 2.6 B | — | other | 79 K | 8.5 GB |
| 549 | sd-xl-alternative-bases | — | — | ⚠ openrail++ | 73 K | 15.9 GB |
| 550 | controlnet-openpose-sdxl-1.0 | — | — | other | 69 K | 6.9 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.