1,023 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 |
|---|---|---|---|---|---|---|
| 451 | PowerLM-3b | 3.5 B | 4 K | ✓ apache-2.0 | 195 K | 16.5 GB |
| 452 | OLMoE-1B-7B-0924 | 6.9 B | 4 K | ✓ apache-2.0 | 192 K | 16.8 GB |
| 453 | pythia-160m-deduped | 210 M | 2 K | ✓ apache-2.0 | 191 K | 0.9 GB |
| 454 | Qwen2.5-Coder-7B-Instruct-GGUF | — | — | ✓ apache-2.0 | 189 K | 3.8 GB |
| 455 | Llama-3.2-3B-Instruct | 3.2 B | 131 K | ⚠ llama3.2 | 188 K | 8.0 GB |
| 456 | Qwen3-0.6B-GGUF | — | — | unknown | 186 K | 0.9 GB |
| 457 | Sugoi-14B-Ultra-GGUF | — | — | ✓ apache-2.0 | 185 K | 6.8 GB |
| 458 | Qwen2.5-3B-Instruct-GGUF | — | — | other | 185 K | 2.0 GB |
| 459 | Qwen3-14B-GGUF | — | — | unknown | 184 K | 6.8 GB |
| 460 | openai-gpt | 120 M | — | ✓ mit | 183 K | 1.0 GB |
| 461 | novaAnimeXL_ilV140 | 2.6 B | — | unknown | 183 K | 16.1 GB |
| 462 | Qwen3-4B-unsloth-bnb-4bit | 4.1 B | 41 K | ✓ apache-2.0 | 183 K | 5.0 GB |
| 463 | Qwen3-14B-unsloth-bnb-4bit | 15.2 B | 41 K | ✓ apache-2.0 | 181 K | 15.0 GB |
| 464 | Qwen2.5-7B-Instruct-GGUF | — | — | ✓ apache-2.0 | 180 K | 3.6 GB |
| 465 | Qwen3-8B-GGUF | — | — | unknown | 180 K | 4.1 GB |
| 466 | LLaMmlein_1B_prerelease | 1.1 B | 2 K | other | 179 K | 5.5 GB |
| 467 | Pony_Diffusion_V6_XL | — | — | cdla-permissive-2.0 | 179 K | 8.5 GB |
| 468 | Qwen3-1.7B-GGUF | — | — | unknown | 178 K | 1.5 GB |
| 469 | Phi-3-mini-4k-instruct-gptq-4bit | 3.8 B | 4 K | unknown | 178 K | 3.6 GB |
| 470 | Qwen3-32B-GGUF | — | — | unknown | 177 K | 14.1 GB |
| 471 | Qwen3-30B-A3B-GGUF | — | — | unknown | 177 K | 12.9 GB |
| 472 | Juggernaut-XL-v9 | — | — | ⚠ creativeml-openrail-m | 176 K | 15.9 GB |
| 473 | starcoder2-3b | 3.0 B | 16 K | bigcode-openrail-m | 176 K | 14.3 GB |
| 474 | llama-3-8b-instruct-awq | 8.0 B | 8 K | unknown | 173 K | 8.0 GB |
| 475 | Qwen2.5-0.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 172 K | 1.0 GB |
| 476 | NVIDIA-Nemotron-Nano-9B-v2-FP8 | 8.9 B | 131 K | other | 171 K | 13.1 GB |
| 477 | granite-4.1-3b-GGUF | — | — | ✓ apache-2.0 | 170 K | 2.0 GB |
| 478 | Qwen3-14B-GPTQ-Int4 | 14.8 B | 41 K | ✓ apache-2.0 | 170 K | 13.7 GB |
| 479 | falcon-mamba-7b | 7.3 B | — | other | 170 K | 17.6 GB |
| 480 | Qwen2.5-7B-Instruct-bnb-4bit | 7.8 B | 33 K | ✓ apache-2.0 | 170 K | 7.8 GB |
| 481 | TinyLlama-1.1B-Chat-v0.3-AWQ | 1.1 B | 2 K | ✓ apache-2.0 | 169 K | 1.5 GB |
| 482 | Meta-Llama-3.1-8B-Instruct-AWQ-INT4 | 8.0 B | 131 K | ⚠ llama3.1 | 167 K | 8.0 GB |
| 483 | Agents-A1-4B | 4.5 B | — | ✓ apache-2.0 | 167 K | 11.2 GB |
| 484 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 167 K | 4.1 GB |
| 485 | RnJ-1-Instruct-FP8 | 8.8 B | 33 K | ⚠ gemma | 164 K | 15.0 GB |
| 486 | Llama-3.2-1B-Instruct-GGUF | — | — | ⚠ llama3.2 | 162 K | 1.2 GB |
| 487 | Qwen3-4B-Instruct-2507-NVFP4 | 2.8 B | 262 K | ✓ apache-2.0 | 161 K | 4.9 GB |
| 488 | opus-mt-tc-big-tr-en | 230 M | 1 K | ✓ cc-by-4.0 | 154 K | 1.1 GB |
| 489 | animagine-xl-3.1 | 2.6 B | — | ⚠ openrail++ | 153 K | 16.1 GB |
| 490 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 151 K | 8.5 GB |
| 491 | financial-summarization-pegasus | 570 M | 512 | unknown | 148 K | 3.1 GB |
| 492 | dreamshaper-8 | 860 M | — | ⚠ creativeml-openrail-m | 142 K | 9.7 GB |
| 493 | one-obsession-17-red-sdxl | 2.6 B | — | other | 140 K | 8.5 GB |
| 494 | Hunyuan-MT-7B-GGUF | — | — | unknown | 137 K | 3.1 GB |
| 495 | amanatsu-illustrious-v11-sdxl | 2.6 B | — | other | 135 K | 8.5 GB |
| 496 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 128 K | 3.5 GB |
| 497 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 126 K | 4.9 GB |
| 498 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 119 K | 10.4 GB |
| 499 | FLUX.1-dev-gguf | — | — | other | 109 K | 4.9 GB |
| 500 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 97 K | 6.2 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.