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Models that run on Mac M4 Max · 64 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 413 text-to-image 152 ASR 92 image-text-to-text 89 sentence-similarity 60 feature-extraction 48 translation 48 text-classification 42 image-classification 33 token-classification 29 text-to-speech 12 audio-classification 11 object-detection 11 image-segmentation 10 summarization 8
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
$
808 models
#ModelParamsContextCommercial use30dOn Mac M4 Max · 64 GB
301 Qwen3-8B-FP8 Qwen · text-generation 8.2 B 41 K ✓ apache-2.0 780 K 12.1 GB
302 rorshark-vit-base amunchet · image-classification 90 M — ✓ apache-2.0 777 K 0.9 GB
303 Qwen3.8-2B-Distill-GGUF empero-ai · text-generation — — ✓ apache-2.0 772 K 1.9 GB
304 efficientnet_b0.ra_in1k timm · image-classification 10 M — ✓ apache-2.0 761 K 0.5 GB
305 yolos-small hustvl · object-detection 30 M — ✓ apache-2.0 760 K 0.6 GB
306 pythia-6.9b EleutherAI · text-generation 7.0 B 2 K ✓ apache-2.0 754 K 16.8 GB
307 nemotron-3.5-asr-streaming-0.6b nvidia · ASR 640 M — other 752 K 1.4 GB
308 gemma-2-9b-it google · text-generation · gated 9.2 B — ⚠ gemma 745 K 22.2 GB
309 VibeVoice-ASR microsoft · ASR 8.7 B — ✓ mit 738 K 20.9 GB
310 LaBSE sentence-transformers · sentence-similarity 470 M 512 ✓ apache-2.0 734 K 2.6 GB
311 bloomz-560m bigscience · text-generation 560 M — ⚠ bigscience-bloom-rail-1.0 724 K 1.8 GB
312 Kokoro-82M-v1.0-ONNX onnx-community · text-to-speech 82 M — ✓ apache-2.0 720 K 0.7 GB
313 ast-finetuned-audioset-10-10-0.4593 MIT · audio-classification 90 M — ✓ bsd-3-clause 719 K 0.9 GB
314 deepseek-coder-7b-instruct-v1.5 deepseek-ai · text-generation 6.9 B 4 K other 718 K 16.7 GB
315 Qwen3-14B-NVFP4 nvidia · text-generation 8.2 B 41 K ✓ apache-2.0 713 K 13.3 GB
316 wav2vec2-large-robust-12-ft-emotion-msp-dim audeering · audio-classification 170 M — ✗ cc-by-nc-sa-4.0 713 K 1.3 GB
317 Qwen2-0.5B Qwen · text-generation 490 M 131 K ✓ apache-2.0 709 K 1.7 GB
318 resnet50.ram_in1k timm · image-classification 30 M — ✓ apache-2.0 709 K 0.6 GB
319 gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF yuxinlu1 · text-generation — — ✓ apache-2.0 708 K 1.4 GB
320 Qwen2.5-Coder-7B Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 706 K 18.4 GB
321 e5-base intfloat · sentence-similarity 110 M 512 ✓ mit 701 K 1.0 GB
322 Qwen3.8-27B-DFlash2-GGUF z-lab · text-generation — — ✓ apache-2.0 696 K 1.8 GB
323 Giga-Embeddings-instruct ai-sage · feature-extraction 3.5 B — ✓ mit 695 K 16.2 GB
324 Qwen3.8-9B-Distill-GGUF empero-ai · text-generation — — ✓ apache-2.0 693 K 6.9 GB
325 bert-base-multilingual-uncased-sentiment nlptown · text-classification 170 M 512 ✓ mit 689 K 1.3 GB
326 Qwen2.5-7B Qwen · text-generation 7.6 B 131 K ✓ apache-2.0 687 K 18.4 GB
327 LaBSE setu4993 · sentence-similarity 471 M 512 ✓ apache-2.0 687 K 2.6 GB
328 wav2vec2-large-xlsr-53-gender-recognition-librispeech alefiury · audio-classification 320 M — ✓ apache-2.0 676 K 1.9 GB
329 paraphrase-multilingual-MiniLM-L12-v2 Xenova · feature-extraction 120 M 512 unknown 675 K 0.8 GB
330 wikineural-multilingual-ner Babelscape · token-classification 180 M 512 ✗ cc-by-nc-sa-4.0 675 K 1.3 GB
331 Qwen1.5-MoE-A2.7B Qwen · text-generation 14.3 B 8 K other 673 K 34.1 GB
332 parakeet-ctc-1.1b nvidia · ASR 1.1 B — ✓ cc-by-4.0 672 K 2.0 GB
333 paraphrase-MiniLM-L3-v2 sentence-transformers · sentence-similarity 20 M 512 ✓ apache-2.0 668 K 0.6 GB
334 gte-Qwen2-1.5B-instruct Alibaba-NLP · sentence-similarity 1.8 B 131 K ✓ apache-2.0 665 K 8.6 GB
335 gemma-2-2b-it google · text-generation · gated 2.6 B — ⚠ gemma 663 K 6.6 GB
336 Ternary-Bonsai-27B-gguf prism-ml · text-generation — — ✓ apache-2.0 663 K 1.2 GB
337 Qwen3-TTS-12Hz-0.6B-Base Qwen · text-to-speech 910 M — ✓ apache-2.0 655 K 3.4 GB
338 Z-Image-Turbo Tongyi-MAI · text-to-image 6.2 B — ✓ apache-2.0 653 K 37.5 GB
339 phi-4 microsoft · text-generation 14.7 B 16 K ✓ mit 651 K 34.9 GB
340 stable-diffusion-v1-4 CompVis · text-to-image 860 M — ⚠ creativeml-openrail-m 650 K 13.5 GB
341 audiobox-aesthetics facebook · audio-classification 100 M — ✓ cc-by-4.0 637 K 1.0 GB
342 nli-mpnet-base-v2 sentence-transformers · sentence-similarity 110 M 512 ✓ apache-2.0 635 K 1.0 GB
343 Nemotron-3-Embed-1B-BF16 nvidia · sentence-similarity 1.1 B 262 K other 633 K 3.2 GB
344 all-roberta-large-v1 sentence-transformers · sentence-similarity 360 M 512 ✓ apache-2.0 632 K 2.1 GB
345 Qwen2.5-Coder-7B-Instruct-AWQ Orion-zhen · text-generation 7.6 B 33 K ✓ apache-2.0 623 K 7.9 GB
346 RMBG-2.0 briaai · image-segmentation · gated 220 M — other 622 K 1.5 GB
347 MiniCPM-SALA-AWQ-8bit cyankiwi · text-generation 3.1 B 524 K ✓ apache-2.0 616 K 12.7 GB
348 gte-large thenlper · sentence-similarity 340 M 512 ✓ mit 616 K 1.3 GB
349 SmolLM3-3B-Base HuggingFaceTB · text-generation 3.1 B 66 K ✓ apache-2.0 615 K 7.7 GB
350 SmolLM3-3B HuggingFaceTB · text-generation 3.1 B 66 K ✓ apache-2.0 614 K 7.7 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.