1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Models that run on Mac M3 · 24 GB
Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, 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 | nllb-200-distilled-600M | 600 M | 1 K | ✗ cc-by-nc-4.0 | 932 K | 1.9 GB |
| 202 | Qwen3.8-27B-AP-GGUF | 27.0 B | — | ✓ apache-2.0 | 923 K | 15.1 GB |
| 203 | paraphrase-MiniLM-L3-v2 | 20 M | 512 | ✓ apache-2.0 | 919 K | 0.6 GB |
| 204 | gpt2-large | 810 M | — | ✓ mit | 908 K | 4.2 GB |
| 205 | llmlingua-2-bert-base-multilingual-cased-meetingbank | 180 M | 512 | ✓ apache-2.0 | 905 K | 1.3 GB |
| 206 | dreamshaper-7 | 860 M | — | ⚠ creativeml-openrail-m | 902 K | 9.7 GB |
| 207 | JiRackUltra_1b | 1.8 B | 131 K | ✓ mit | 891 K | 1.8 GB |
| 208 | wav2vec2-xls-r-300m-ftspeech | 320 M | — | other | 888 K | 1.9 GB |
| 209 | gte-multilingual-base | 310 M | 8 K | ✓ apache-2.0 | 883 K | 1.2 GB |
| 210 | LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF | 24.0 B | 131 K | other | 881 K | 15.7 GB |
| 211 | distiluse-base-multilingual-cased-v2 | 130 M | 512 | ✓ apache-2.0 | 879 K | 1.1 GB |
| 212 | Sharp-Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 874 K | 1.1 GB |
| 213 | Llama-3.2-3B-Instruct | 3.2 B | — | ⚠ llama3.2 | 872 K | 8.0 GB |
| 214 | stsb-bert-tiny-safetensors | <0.1 M | 512 | unknown | 860 K | 0.5 GB |
| 215 | rorshark-vit-base | 90 M | — | ✓ apache-2.0 | 860 K | 0.9 GB |
| 216 | text2vec-base-chinese | 100 M | 512 | ✓ apache-2.0 | 855 K | 1.0 GB |
| 217 | bge-small-en-v1.5 | 30 M | 512 | unknown | 855 K | 0.6 GB |
| 218 | pubmedbert-base-embeddings | 110 M | 512 | ✓ apache-2.0 | 848 K | 1.0 GB |
| 219 | SmolLM2-135M-Instruct | 130 M | 8 K | ✓ apache-2.0 | 847 K | 0.8 GB |
| 220 | w2v-xls-r-uk | 320 M | — | ✓ apache-2.0 | 844 K | 1.9 GB |
| 221 | Qwen3-TTS-12Hz-0.6B-Base | 910 M | — | ✓ apache-2.0 | 842 K | 3.4 GB |
| 222 | nomic-embed-text-v1 | 140 M | 8 K | ✓ apache-2.0 | 836 K | 1.1 GB |
| 223 | wav2vec2-large-xlsr-53-gender-recognition-librispeech | 320 M | — | ✓ apache-2.0 | 835 K | 1.9 GB |
| 224 | Qwen3-8B-GGUF | — | — | ✓ apache-2.0 | 826 K | 6.0 GB |
| 225 | parakeet-tdt-0.6b-v2 | 620 M | — | ✓ cc-by-4.0 | 815 K | 3.3 GB |
| 226 | repeat | — | — | unknown | 812 K | 0.5 GB |
| 227 | Kokoro-82M-v1.0-ONNX | 82 M | — | ✓ apache-2.0 | 808 K | 0.7 GB |
| 228 | gemma-2-9b-it-AWQ-INT4 | 9.2 B | 8 K | ⚠ gemma | 803 K | 8.7 GB |
| 229 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 795 K | 1.1 GB |
| 230 | wide_resnet50_2.racm_in1k | 70 M | — | ✓ apache-2.0 | 795 K | 0.8 GB |
| 231 | wav2vec2-xls-r-300m-sk-cv8 | 300 M | — | ✓ apache-2.0 | 786 K | 1.2 GB |
| 232 | nb-wav2vec2-1b-nynorsk | 960 M | — | ✓ apache-2.0 | 775 K | 4.9 GB |
| 233 | Qwen2.5-Coder-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 769 K | 7.8 GB |
| 234 | Qwen-Image-2.1-Turbo-Uncensored-GGUF | 8.8 B | — | ✓ apache-2.0 | 761 K | 5.5 GB |
| 235 | ruri-v3-310m | 310 M | 8 K | ✓ apache-2.0 | 759 K | 1.9 GB |
| 236 | yolos-small | 30 M | — | ✓ apache-2.0 | 751 K | 0.6 GB |
| 237 | distil-large-v3 | 760 M | — | ✓ mit | 747 K | 5.6 GB |
| 238 | Qwen2.5-7B-Instruct-GGUF | 7.0 B | 33 K | ✓ apache-2.0 | 738 K | 4.9 GB |
| 239 | e5-large-v2 | 340 M | 512 | ✓ mit | 737 K | 2.0 GB |
| 240 | nomic-embed-text-v2-moe | 480 M | — | ✓ apache-2.0 | 736 K | 2.7 GB |
| 241 | Qwen3-TTS-12Hz-0.6B-CustomVoice | 910 M | — | ✓ apache-2.0 | 734 K | 3.4 GB |
| 242 | pythia-70m-deduped | 100 M | 2 K | ✓ apache-2.0 | 729 K | 0.7 GB |
| 243 | bert-large-cased-finetuned-conll03-english | 330 M | 512 | unknown | 719 K | 2.0 GB |
| 244 | Qwen3-4B-GGUF | — | — | ✓ apache-2.0 | 719 K | 3.2 GB |
| 245 | Underdog-Saluki-27B-1.0 | 27.0 B | — | ✗ cc-by-nc-4.0 | 710 K | 5.2 GB |
| 246 | resnet50.ram_in1k | 30 M | — | ✓ apache-2.0 | 709 K | 0.6 GB |
| 247 | vit-base-nsfw-detector | 90 M | — | ✓ apache-2.0 | 707 K | 0.9 GB |
| 248 | resnet34.a1_in1k | 20 M | — | ✓ apache-2.0 | 707 K | 0.6 GB |
| 249 | FRIDA | 823 M | — | ✓ mit | 698 K | 4.2 GB |
| 250 | whisper-large-v3-gguf | 1.5 B | — | ✓ apache-2.0 | 692 K | 1.8 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.