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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 400 text-to-image 150 ASR 85 image-text-to-text 80 sentence-similarity 54 feature-extraction 46 translation 43 text-classification 39 image-classification 32 token-classification 21 text-to-speech 15 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
$
718 models
#ModelParamsContextCommercial use30dOn Mac M4 Max · 64 GB
301 Qwen3-4B-Base Qwen · text-generation 4.0 B 33 K ✓ apache-2.0 703 K 10.0 GB
302 Qwen3.6-27B-Text-NVFP4-MTP sakamakismile · text-generation 16.7 B — ✓ apache-2.0 701 K 24.6 GB
303 BiRefNet ZhengPeng7 · image-segmentation 220 M — ✓ mit 692 K 1.0 GB
304 NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4 nvidia · text-generation 18.2 B 262 K other 688 K 24.5 GB
305 nb-wav2vec2-1b-nynorsk NbAiLab · ASR 960 M — ✓ apache-2.0 688 K 4.9 GB
306 ruri-v3-310m cl-nagoya · sentence-similarity 310 M 8 K ✓ apache-2.0 687 K 1.9 GB
307 vit_tiny_patch16_224.augreg_in21k_ft_in1k timm · image-classification 10 M — ✓ apache-2.0 685 K 0.5 GB
308 bert-large-cased-finetuned-conll03-english dbmdz · token-classification 330 M 512 unknown 684 K 2.0 GB
309 Mistral-7B-v0.1 mistralai · text-generation 7.2 B 33 K ✓ apache-2.0 677 K 17.5 GB
310 xlm-roberta-base-language-detection papluca · text-classification 280 M 512 ✓ mit 672 K 1.8 GB
311 phi-4 microsoft · text-generation 14.7 B 16 K ✓ mit 671 K 34.9 GB
312 RMBG-2.0 briaai · image-segmentation · gated 220 M — other 671 K 1.5 GB
313 VibeVoice-ASR microsoft · ASR 8.7 B — ✓ mit 671 K 20.9 GB
314 gemma-4-31B-it-NVFP4-turbo LilaRest · text-generation 32.5 B — ✓ apache-2.0 668 K 26.6 GB
315 repvgg_a0.rvgg_in1k timm · image-classification 10 M — ✓ mit 665 K 0.5 GB
316 turn-detector livekit · text-classification 130 M 8 K other 663 K 1.1 GB
317 vit_base_patch8_224.augreg2_in21k_ft_in1k timm · image-classification 90 M — ✓ apache-2.0 658 K 0.9 GB
318 Qwen3-0.6B-Base Qwen · text-generation 600 M 33 K ✓ apache-2.0 655 K 1.9 GB
319 vit-base-nsfw-detector AdamCodd · image-classification 90 M — ✓ apache-2.0 643 K 0.9 GB
320 gemma-2-2b-it google · text-generation · gated 2.6 B — ⚠ gemma 642 K 6.6 GB
321 VibeVoice-Realtime-0.5B microsoft · text-to-speech 1.0 B — ✓ mit 632 K 2.9 GB
322 OLMo-2-0425-1B allenai · text-generation 1.5 B 4 K ✓ apache-2.0 620 K 7.3 GB
323 Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit cyankiwi · text-generation 5.3 B 262 K ✓ apache-2.0 607 K 21.2 GB
324 parakeet-tdt-0.6b-v3-gguf handy-computer · ASR — — ✓ cc-by-4.0 605 K 1.0 GB
325 Qwen3-32B-AWQ Qwen · text-generation 32.8 B 41 K ✓ apache-2.0 605 K 26.7 GB
326 DeepSeek-R1-Distill-Qwen-1.5B deepseek-ai · text-generation 1.8 B 131 K ✓ mit 603 K 4.7 GB
327 bloom-560m bigscience · text-generation 560 M — ⚠ bigscience-bloom-rail-1.0 599 K 1.8 GB
328 mask2former-swin-large-ade-semantic facebook · image-segmentation 220 M — other 598 K 1.5 GB
329 Phi-3-mini-4k-instruct microsoft · text-generation 3.8 B 4 K ✓ mit 597 K 9.5 GB
330 deepseek-coder-7b-instruct-v1.5 deepseek-ai · text-generation 6.9 B 4 K other 594 K 16.7 GB
331 Bonsai-27B-mlx-1bit prism-ml · text-generation 1.7 B — ✓ apache-2.0 594 K 6.4 GB
332 Ternary-Bonsai-27B-mlx-2bit prism-ml · text-generation 2.6 B — ✓ apache-2.0 592 K 10.2 GB
333 cryptobert ElKulako · text-classification 120 M 512 ✓ mit 589 K 1.1 GB
334 NVIDIA-Nemotron-3-Nano-30B-A3B-FP8 nvidia · text-generation 31.6 B 262 K other 587 K 41.2 GB
335 Qwen2.5-Coder-7B-Instruct-AWQ Orion-zhen · text-generation 7.6 B 33 K ✓ apache-2.0 586 K 7.9 GB
336 Qwen3-30B-A3B-Instruct-2507-FP8 Qwen · text-generation 30.5 B 262 K ✓ apache-2.0 582 K 39.4 GB
337 snowflake-arctic-embed-s Snowflake · sentence-similarity 30 M 512 ✓ apache-2.0 581 K 0.7 GB
338 nb-wav2vec2-1b-bokmaal-v2 NbAiLab · ASR 960 M — ✓ apache-2.0 580 K 4.9 GB
339 encodec_24khz facebook · feature-extraction 20 M — unknown 577 K 0.6 GB
340 LFM2.5-1.2B-Instruct LiquidAI · text-generation 1.2 B 128 K other 575 K 3.3 GB
341 nsfw_image_detector Freepik · image-classification 90 M — ✓ mit 575 K 0.7 GB
342 sentence-bert-base-ja-mean-tokens-v2 sonoisa · feature-extraction 110 M 512 cc-by-sa-4.0 573 K 1.0 GB
343 Phi-4-multimodal-instruct microsoft · ASR 5.6 B 131 K ✓ mit 573 K 15.4 GB
344 Qwen2-7B-Instruct Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 569 K 18.4 GB
345 gpt2-medium openai-community · text-generation 380 M — ✓ mit 565 K 2.2 GB
346 VLM2Vec-Full TIGER-Lab · text-generation 4.2 B 131 K ✓ apache-2.0 563 K 10.2 GB
347 wav2vec2-xls-r-parlaspeech-hr classla · ASR 320 M — unknown 562 K 1.9 GB
348 Qwen3-Reranker-4B-W4A16-G128 boboliu · text-classification 4.1 B 41 K ✓ apache-2.0 561 K 4.0 GB
349 DeepSeek-Coder-V2-Lite-Instruct deepseek-ai · text-generation 15.7 B 164 K other 546 K 37.4 GB
350 msmarco-bert-base-dot-v5 sentence-transformers · sentence-similarity 110 M 512 unknown 544 K 1.0 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.