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 |
|---|---|---|---|---|---|---|
| 201 | gemma-4-26B-A4B-it-GGUF | — | — | ✓ apache-2.0 | 952 K | 11.4 GB |
| 202 | F5-TTS | — | — | ✗ cc-by-nc-4.0 | 946 K | 5.0 GB |
| 203 | privacy-filter-nemotron-GGUF | — | — | ✓ apache-2.0 | 944 K | 2.3 GB |
| 204 | wav2vec2-xls-r-300m-ftspeech | 320 M | — | other | 944 K | 1.9 GB |
| 205 | pubmedbert-base-embeddings | 110 M | 512 | ✓ apache-2.0 | 941 K | 1.0 GB |
| 206 | vit-base-nsfw-detector | 90 M | — | ✓ apache-2.0 | 937 K | 0.9 GB |
| 207 | Qwen2.5-Coder-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 930 K | 7.8 GB |
| 208 | Qwen3-4B-Instruct-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 930 K | 6.9 GB |
| 209 | rtdetr_r101vd_coco_o365 | 80 M | — | ✓ apache-2.0 | 911 K | 0.9 GB |
| 210 | repeat | — | — | unknown | 908 K | 0.5 GB |
| 211 | dreamshaper-7 | 860 M | — | ⚠ creativeml-openrail-m | 900 K | 9.7 GB |
| 212 | snowflake-arctic-embed-l-v2.0 | 570 M | 8 K | ✓ apache-2.0 | 889 K | 3.1 GB |
| 213 | Juggernaut-XL-v9 | — | — | ⚠ creativeml-openrail-m | 869 K | 15.9 GB |
| 214 | Llama-3.2-1B | 1.2 B | — | ⚠ llama3.2 | 869 K | 3.4 GB |
| 215 | ced-gguf | — | — | ✓ apache-2.0 | 866 K | 0.6 GB |
| 216 | jina-embeddings-v2-small-en | 30 M | 8 K | ✓ apache-2.0 | 862 K | 0.6 GB |
| 217 | Qwen2.5-1.5B | 1.5 B | 131 K | ✓ apache-2.0 | 860 K | 4.1 GB |
| 218 | deberta-v3-base-prompt-injection-v2 | 180 M | 512 | ✓ apache-2.0 | 852 K | 1.3 GB |
| 219 | opus-mt-fr-en | 80 M | 512 | ✓ apache-2.0 | 848 K | 0.8 GB |
| 220 | wav2vec2-large-xlsr-mvc-swahili | 320 M | — | ✓ apache-2.0 | 845 K | 1.9 GB |
| 221 | e5-base-v2 | 110 M | 512 | ✓ mit | 829 K | 1.0 GB |
| 222 | Qwen3-0.6B-Base | 600 M | 33 K | ✓ apache-2.0 | 816 K | 1.9 GB |
| 223 | POCKET-35B-GGUF | — | — | ✓ apache-2.0 | 812 K | 9.6 GB |
| 224 | Llama-2-7b-hf | 6.7 B | — | ⚠ llama2 | 806 K | 16.3 GB |
| 225 | Ornith-1.5-9B-NVFP4 | 6.7 B | — | ✓ mit | 805 K | 11.2 GB |
| 226 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 805 K | 0.6 GB |
| 227 | OLMo-2-0425-1B | 1.5 B | 4 K | ✓ apache-2.0 | 799 K | 7.3 GB |
| 228 | Qwen3.8-4B-Distill-GGUF | — | — | ✓ apache-2.0 | 793 K | 3.6 GB |
| 229 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 780 K | 12.1 GB |
| 230 | rorshark-vit-base | 90 M | — | ✓ apache-2.0 | 777 K | 0.9 GB |
| 231 | Qwen3.8-2B-Distill-GGUF | — | — | ✓ apache-2.0 | 772 K | 1.9 GB |
| 232 | efficientnet_b0.ra_in1k | 10 M | — | ✓ apache-2.0 | 761 K | 0.5 GB |
| 233 | yolos-small | 30 M | — | ✓ apache-2.0 | 760 K | 0.6 GB |
| 234 | pythia-6.9b | 7.0 B | 2 K | ✓ apache-2.0 | 754 K | 16.8 GB |
| 235 | nemotron-3.5-asr-streaming-0.6b | 640 M | — | other | 752 K | 1.4 GB |
| 236 | LaBSE | 470 M | 512 | ✓ apache-2.0 | 734 K | 2.6 GB |
| 237 | bloomz-560m | 560 M | — | ⚠ bigscience-bloom-rail-1.0 | 724 K | 1.8 GB |
| 238 | Kokoro-82M-v1.0-ONNX | 82 M | — | ✓ apache-2.0 | 720 K | 0.7 GB |
| 239 | ast-finetuned-audioset-10-10-0.4593 | 90 M | — | ✓ bsd-3-clause | 719 K | 0.9 GB |
| 240 | deepseek-coder-7b-instruct-v1.5 | 6.9 B | 4 K | other | 718 K | 16.7 GB |
| 241 | Qwen3-14B-NVFP4 | 8.2 B | 41 K | ✓ apache-2.0 | 713 K | 13.3 GB |
| 242 | wav2vec2-large-robust-12-ft-emotion-msp-dim | 170 M | — | ✗ cc-by-nc-sa-4.0 | 713 K | 1.3 GB |
| 243 | Qwen2-0.5B | 490 M | 131 K | ✓ apache-2.0 | 709 K | 1.7 GB |
| 244 | resnet50.ram_in1k | 30 M | — | ✓ apache-2.0 | 709 K | 0.6 GB |
| 245 | gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF | — | — | ✓ apache-2.0 | 708 K | 1.4 GB |
| 246 | e5-base | 110 M | 512 | ✓ mit | 701 K | 1.0 GB |
| 247 | Qwen3.8-27B-DFlash2-GGUF | — | — | ✓ apache-2.0 | 696 K | 1.8 GB |
| 248 | Giga-Embeddings-instruct | 3.5 B | — | ✓ mit | 695 K | 16.2 GB |
| 249 | Qwen3.8-9B-Distill-GGUF | — | — | ✓ apache-2.0 | 693 K | 6.9 GB |
| 250 | bert-base-multilingual-uncased-sentiment | 170 M | 512 | ✓ mit | 689 K | 1.3 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.