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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.

Task
All text-generation 400 text-to-image 150 ASR 89 image-text-to-text 82 sentence-similarity 55 feature-extraction 47 translation 44 text-classification 39 image-classification 32 token-classification 22 text-to-speech 16 audio-classification 12 image-segmentation 8 object-detection 8 summarization 7
Runs on
Any RTX 3060 · 12 GB RTX 4070 · 16 GB RTX 4090 · 24 GB 2 × 24 GB Mac M3 · 24 GB Mac M4 Max · 64 GB
Licence
Size
$
571 models
#ModelParamsContextCommercial use30dOn Mac M3 · 24 GB
201 Qwen3-8B-FP8 Qwen · text-generation 8.2 B 41 K ✓ apache-2.0 876 K 12.1 GB
202 deepseek-v4-gguf antirez · text-generation — — ✓ mit 875 K 4.7 GB
203 SmolLM3-3B HuggingFaceTB · text-generation 3.1 B 66 K ✓ apache-2.0 872 K 7.7 GB
204 wav2vec2-large-xls-r-300m-Urdu kingabzpro · ASR 320 M — ✓ apache-2.0 867 K 1.9 GB
205 Qwen2.5-1.5B Qwen · text-generation 1.5 B 131 K ✓ apache-2.0 863 K 4.1 GB
206 mamba-130m-hf state-spaces · text-generation 130 M — unknown 846 K 1.1 GB
207 Qwen2.5-1.5B-quantized.w8a8 RedHatAI · text-generation 1.8 B 33 K ✓ apache-2.0 839 K 3.2 GB
208 llama-nemotron-embed-1b-v2 nvidia · feature-extraction 1.2 B 131 K other 828 K 3.4 GB
209 text2vec-base-chinese shibing624 · sentence-similarity 100 M 512 ✓ apache-2.0 824 K 1.0 GB
210 gte-small thenlper · sentence-similarity 30 M 512 ✓ mit 823 K 0.6 GB
211 PP-DocLayoutV3_safetensors PaddlePaddle · object-detection 30 M — ✓ apache-2.0 822 K 0.7 GB
212 Llama-3.2-1B-Instruct-FP8 RedHatAI · text-generation 1.5 B 131 K ⚠ llama3.2 799 K 3.0 GB
213 Kimi-K3-DSpark RadixArk · text-generation 2.3 B 1.0 M unknown 798 K 5.8 GB
214 mimi kyutai · feature-extraction 100 M 8 K ✓ cc-by-4.0 798 K 0.9 GB
215 Flux2-Klein-9B-True-V2 wikeeyang · text-to-image — — other 792 K 6.8 GB
216 Llama-2-7b-hf meta-llama · text-generation · gated 6.7 B — ⚠ llama2 779 K 16.3 GB
217 vntl-llama3-8b-v2-gguf lmg-anon · translation — — ⚠ llama3 774 K 6.8 GB
218 phi-2 microsoft · text-generation 2.8 B 2 K ✓ mit 771 K 7.0 GB
219 F5-TTS SWivid · text-to-speech — — ✗ cc-by-nc-4.0 770 K 5.0 GB
220 pythia-70m-deduped EleutherAI · text-generation 100 M 2 K ✓ apache-2.0 769 K 0.7 GB
221 LaBSE sentence-transformers · sentence-similarity 470 M 512 ✓ apache-2.0 764 K 2.6 GB
222 w2v-xls-r-uk Yehor · ASR 320 M — ✓ apache-2.0 764 K 1.9 GB
223 Ternary-Bonsai-27B-gguf prism-ml · text-generation — — ✓ apache-2.0 761 K 1.2 GB
224 wav2vec2-xls-r-300m-hebrew imvladikon · ASR 320 M — unknown 757 K 1.9 GB
225 Llama-2-7b-chat-hf meta-llama · text-generation · gated 6.7 B — ⚠ llama2 753 K 16.3 GB
226 wav2vec2-large-robust-12-ft-emotion-msp-dim audeering · audio-classification 170 M — ✗ cc-by-nc-sa-4.0 751 K 1.3 GB
227 Qwen3-0.6B-Base Qwen · text-generation 600 M 33 K ✓ apache-2.0 749 K 1.9 GB
228 yolos-small hustvl · object-detection 30 M — ✓ apache-2.0 746 K 0.6 GB
229 e5-small-v2 intfloat · sentence-similarity 30 M 512 ✓ mit 739 K 0.7 GB
230 NVIDIA-Nemotron-3-Nano-4B-BF16 nvidia · text-generation 4.0 B 262 K other 739 K 9.8 GB
231 bert-base-multilingual-uncased-sentiment nlptown · text-classification 170 M 512 ✓ mit 735 K 1.3 GB
232 Qwen2.5-Coder-1.5B-Instruct Qwen · text-generation 1.5 B 33 K ✓ apache-2.0 728 K 4.1 GB
233 Qwen3-4B-Base Qwen · text-generation 4.0 B 33 K ✓ apache-2.0 722 K 10.0 GB
234 sd-turbo stabilityai · text-to-image 870 M — unknown 722 K 14.9 GB
235 BiRefNet ZhengPeng7 · image-segmentation 220 M — ✓ mit 715 K 1.0 GB
236 RMBG-2.0 briaai · image-segmentation · gated 220 M — other 702 K 1.5 GB
237 bert-large-cased-finetuned-conll03-english dbmdz · token-classification 330 M 512 unknown 699 K 2.0 GB
238 ruri-v3-310m cl-nagoya · sentence-similarity 310 M 8 K ✓ apache-2.0 695 K 1.9 GB
239 nb-wav2vec2-1b-nynorsk NbAiLab · ASR 960 M — ✓ apache-2.0 693 K 4.9 GB
240 turn-detector livekit · text-classification 130 M 8 K other 690 K 1.1 GB
241 vit_tiny_patch16_224.augreg_in21k_ft_in1k timm · image-classification 10 M — ✓ apache-2.0 689 K 0.5 GB
242 xlm-roberta-base-language-detection papluca · text-classification 280 M 512 ✓ mit 687 K 1.8 GB
243 Mistral-7B-v0.1 mistralai · text-generation 7.2 B 33 K ✓ apache-2.0 679 K 17.5 GB
244 vit_base_patch8_224.augreg2_in21k_ft_in1k timm · image-classification 90 M — ✓ apache-2.0 679 K 0.9 GB
245 repvgg_a0.rvgg_in1k timm · image-classification 10 M — ✓ mit 669 K 0.5 GB
246 vit-base-nsfw-detector AdamCodd · image-classification 90 M — ✓ apache-2.0 660 K 0.9 GB
247 VibeVoice-Realtime-0.5B microsoft · text-to-speech 1.0 B — ✓ mit 657 K 2.9 GB
248 bloom-560m bigscience · text-generation 560 M — ⚠ bigscience-bloom-rail-1.0 628 K 1.8 GB
249 wav2vec2-large-xlsr-53-gender-recognition-librispeech alefiury · audio-classification 320 M — ✓ apache-2.0 626 K 1.9 GB
250 mask2former-swin-large-ade-semantic facebook · image-segmentation 220 M — other 625 K 1.5 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.