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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
351 EXAONE-3.5-7.8B-Instruct-AWQ LGAI-EXAONE · text-generation 7.8 B 33 K other 614 K 7.5 GB
352 MiniCPM5-1B openbmb · text-generation 1.1 B 131 K ✓ apache-2.0 611 K 3.0 GB
353 repvgg_a0.rvgg_in1k timm · image-classification 10 M — ✓ mit 606 K 0.5 GB
354 VieNeu-TTS-v3-Turbo pnnbao-ump · text-to-speech 130 M 1 K ✓ apache-2.0 605 K 1.1 GB
355 Qwen2.5-Coder-3B-Instruct Qwen · text-generation 3.1 B 33 K other 604 K 7.8 GB
356 Qwen2-1.5B-Instruct Qwen · text-generation 1.5 B 33 K ✓ apache-2.0 601 K 4.1 GB
357 bge-small-en-v1.5 michaelfeil · feature-extraction 30 M 512 ✓ mit 599 K 0.7 GB
358 Qwen3-ASR-0.6B Qwen · ASR 940 M — ✓ apache-2.0 598 K 2.7 GB
359 detr-resnet-50 facebook · object-detection 40 M 1 K ✓ apache-2.0 591 K 0.7 GB
360 Qwen3-Reranker-4B-W4A16-G128 boboliu · text-classification 4.1 B 41 K ✓ apache-2.0 586 K 4.0 GB
361 LFM2.5-230M-GGUF LiquidAI · text-generation — — other 586 K 0.7 GB
362 Parable-Qwen3-8B-Claude-Fable-5-GGUF AnkitAI · text-generation — — ✓ apache-2.0 583 K 6.0 GB
363 Qwen3-14B-Base Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 582 K 35.2 GB
364 parakeet-tdt-0.6b-v3 nvidia · ASR 630 M — ✓ cc-by-4.0 577 K 1.4 GB
365 convnext_tiny.in12k_ft_in1k timm · image-classification 30 M — ✓ apache-2.0 577 K 0.6 GB
366 table-transformer-detection microsoft · object-detection 30 M 1 K ✓ mit 576 K 0.6 GB
367 parakeet-tdt-0.6b-v3-gguf handy-computer · ASR — — ✓ cc-by-4.0 575 K 1.0 GB
368 japanese-gpt-neox-small rinna · text-generation 200 M 2 K ✓ mit 575 K 1.3 GB
369 SmolLM-1.7B-Instruct-quantized.w4a16 nm-testing · text-generation 1.8 B 2 K ✓ apache-2.0 571 K 2.7 GB
370 LFM2.5-8B-A1B-GGUF LiquidAI · text-generation — — other 571 K 5.8 GB
371 Qwen2.5-Coder-1.5B-Instruct Qwen · text-generation 1.5 B 33 K ✓ apache-2.0 567 K 4.1 GB
372 wav2vec2-large-xls-r-300m-welsh infinitejoy · ASR 300 M — ✓ apache-2.0 567 K 1.2 GB
373 bge-reranker-v2.5-gemma2-lightweight-gptq boboliu · text-generation 9.2 B 8 K unknown 563 K 8.7 GB
374 gemma-4-31B-it-NVFP4-turbo LilaRest · text-generation 32.5 B — ✓ apache-2.0 561 K 26.6 GB
375 e5-small-v2 intfloat · sentence-similarity 30 M 512 ✓ mit 558 K 0.7 GB
376 xlm-roberta-base-language-detection papluca · text-classification 280 M 512 ✓ mit 557 K 1.8 GB
377 rtdetr_v2_r18vd PekingU · object-detection 20 M — ✓ apache-2.0 557 K 0.6 GB
378 phi-2 microsoft · text-generation 2.8 B 2 K ✓ mit 556 K 7.0 GB
379 wav2vec2-xls-r-300m-cv7-turkish mpoyraz · ASR 300 M — ✓ cc-by-4.0 556 K 1.2 GB
380 inclusively-classification E-MIMIC · text-classification 110 M 512 ✗ cc-by-nc-sa-4.0 552 K 1.0 GB
381 paraphrase-albert-small-v2 sentence-transformers · sentence-similarity 10 M 512 ✓ apache-2.0 551 K 0.6 GB
382 Ornith-1.5-9B ornith-ai · text-generation 9.7 B — ✓ mit 546 K 23.2 GB
383 macbert4csc-base-chinese shibing624 · text-generation 100 M 512 ✓ apache-2.0 543 K 1.0 GB
384 gpt-oss-20b-GGUF unsloth · text-generation — 131 K ✓ apache-2.0 543 K 13.1 GB
385 resnet-50 microsoft · image-classification 30 M — ✓ apache-2.0 542 K 0.6 GB
386 ko-sroberta-multitask jhgan · sentence-similarity 110 M 512 unknown 540 K 1.0 GB
387 gpt-neo-125m EleutherAI · text-generation 150 M 2 K ✓ mit 538 K 1.1 GB
388 whisper-bemba-stt AbelZimba · ASR 240 M — unknown 534 K 1.6 GB
389 Llama-3.1-8B meta-llama · text-generation · gated 8.0 B — ⚠ llama3.1 534 K 19.4 GB
390 Qwen3-Embedding-4B-W4A16-G128 boboliu · feature-extraction 4.1 B 41 K ✓ apache-2.0 532 K 4.0 GB
391 whisper-medium-gguf handy-computer · ASR — — ✓ apache-2.0 529 K 1.1 GB
392 Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF huihui-ai · text-generation — — ✓ mit 526 K 12.5 GB
393 Qwen3-VL-Embedding-8B-FP8 RamManavalan · feature-extraction 8.8 B — ✓ apache-2.0 525 K 13.5 GB
394 Qwen2.5-32B-Instruct-GPTQ-Int4 Qwen · text-generation 32.8 B 33 K ✓ apache-2.0 522 K 26.7 GB
395 Ornith-1.0-9B-GGUF unsloth · text-generation — — ✓ mit 520 K 5.3 GB
396 distil-large-v3 distil-whisper · ASR 760 M — ✓ mit 517 K 5.6 GB
397 jina-embeddings-v5-text-nano jinaai · feature-extraction 210 M 8 K ✗ cc-by-nc-4.0 515 K 1.1 GB
398 qwen3-4b-base-dapo-v4 ReliquaryForge · text-generation 4.0 B 33 K ✓ apache-2.0 515 K 10.0 GB
399 Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 515 K 7.8 GB
400 Qwen3.6-27B-Text-NVFP4-MTP sakamakismile · text-generation 16.7 B — ✓ apache-2.0 514 K 24.6 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.