AImodelsComparison.com 1,000 models
Menu
Models Best of Trending Can I run it? Methodology About
1,000 models · refreshed nightly

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
$
725 models
#ModelParamsContextCommercial use30dOn Mac M4 Max · 64 GB
351 deepseek-coder-6.7b-instruct deepseek-ai · text-generation 6.7 B 16 K other 542 K 16.3 GB
352 Hermes-3-Llama-3.1-8B NousResearch · text-generation 8.0 B 131 K ⚠ llama3 542 K 19.4 GB
353 gpt-oss-20b-GGUF unsloth · text-generation — 131 K ✓ apache-2.0 542 K 13.1 GB
354 sat-3l-sm segment-any-text · token-classification 210 M 514 ✓ mit 541 K 1.5 GB
355 detr-resnet-50 facebook · object-detection 40 M 1 K ✓ apache-2.0 538 K 0.7 GB
356 gemma-2-9b-it-AWQ-INT4 hugging-quants · text-generation 9.2 B 8 K ⚠ gemma 535 K 8.7 GB
357 Qwen3-TTS-12Hz-1.7B-VoiceDesign Qwen · text-to-speech 1.9 B — ✓ apache-2.0 533 K 5.8 GB
358 Llama-3.2-3B meta-llama · text-generation · gated 3.2 B — ⚠ llama3.2 533 K 8.0 GB
359 macbert4csc-base-chinese shibing624 · text-generation 100 M 512 ✓ apache-2.0 531 K 1.0 GB
360 whisper-bemba-stt AbelZimba · ASR 240 M — unknown 530 K 1.6 GB
361 gte-base thenlper · sentence-similarity 110 M 512 ✓ mit 527 K 0.8 GB
362 Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 527 K 7.8 GB
363 privacy-filter openai · token-classification 1.4 B 131 K ✓ apache-2.0 525 K 6.9 GB
364 EXAONE-3.5-7.8B-Instruct LGAI-EXAONE · text-generation 7.8 B 33 K other 516 K 36.1 GB
365 jina-embeddings-v5-text-nano jinaai · feature-extraction 210 M 8 K ✗ cc-by-nc-4.0 515 K 1.1 GB
366 Qwen3-Embedding-4B-W4A16-G128 boboliu · feature-extraction 4.1 B 41 K ✓ apache-2.0 514 K 4.0 GB
367 granite-speech-3.3-2b ibm-granite · ASR 3.0 B — ✓ apache-2.0 513 K 13.9 GB
368 wav2vec2-xls-r-300m-ftspeech saattrupdan · ASR 320 M — other 510 K 1.9 GB
369 inclusively-classification E-MIMIC · text-classification 110 M 512 ✗ cc-by-nc-sa-4.0 509 K 1.0 GB
370 whisper-medium-gguf handy-computer · ASR — — ✓ apache-2.0 508 K 1.1 GB
371 GLM-4.7-Flash-AWQ-4bit cyankiwi · text-generation 32.1 B 203 K ✓ mit 504 K 27.5 GB
372 jina-clip-v2 jinaai · feature-extraction 870 M — ✗ cc-by-nc-4.0 502 K 2.5 GB
373 wav2vec2-large-xlsr-53-gender-recognition-librispeech alefiury · audio-classification 320 M — ✓ apache-2.0 500 K 1.9 GB
374 t5gemma-s-s-prefixlm google · text-generation · gated 310 M — ⚠ gemma 499 K 1.2 GB
375 vit_base_patch16_224.augreg2_in21k_ft_in1k timm · image-classification 90 M — ✓ apache-2.0 498 K 0.9 GB
376 MiMo-7B-RL XiaomiMiMo · text-generation 7.8 B 33 K ✓ mit 498 K 18.9 GB
377 DeepSeek-V2-Lite deepseek-ai · text-generation 15.7 B 164 K other 493 K 37.4 GB
378 lambda unslothai · feature-extraction — — unknown 488 K 0.5 GB
379 Qwen-AgentWorld-35B-A3B-GGUF unsloth · text-generation — — ✓ apache-2.0 486 K 13.1 GB
380 resnet34.a1_in1k timm · image-classification 20 M — ✓ apache-2.0 486 K 0.6 GB
381 bert-base-turkish-cased-mean-nli-stsb-tr emrecan · sentence-similarity 110 M 512 ✓ apache-2.0 484 K 1.0 GB
382 llmlingua-2-bert-base-multilingual-cased-meetingbank microsoft · token-classification 180 M 512 ✓ apache-2.0 483 K 1.3 GB
383 fullstop-punctuation-multilang-large oliverguhr · token-classification 560 M 512 ✓ mit 483 K 3.0 GB
384 Qwen2.5-32B-Instruct-GPTQ-Int4 Qwen · text-generation 32.8 B 33 K ✓ apache-2.0 482 K 26.7 GB
385 convnext_tiny.in12k_ft_in1k timm · image-classification 30 M — ✓ apache-2.0 481 K 0.6 GB
386 SmolLM2-360M-Instruct HuggingFaceTB · text-generation 360 M 8 K ✓ apache-2.0 479 K 1.4 GB
387 Qwen2.5-Coder-7B-Instruct-AWQ Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 477 K 7.8 GB
388 vietnamese-bi-encoder bkai-foundation-models · sentence-similarity 130 M 256 ✓ apache-2.0 476 K 1.1 GB
389 wav2vec2-large-xlsr-mvc-swahili eddiegulay · ASR 320 M — ✓ apache-2.0 476 K 1.9 GB
390 Realistic_Vision_V5.1_noVAE SG161222 · text-to-image 860 M — ⚠ creativeml-openrail-m 473 K 19.4 GB
391 wide_resnet50_2.racm_in1k timm · image-classification 70 M — ✓ apache-2.0 473 K 0.8 GB
392 Nemotron-3-Embed-1B-BF16 nvidia · sentence-similarity 1.1 B 262 K other 469 K 3.2 GB
393 Qwen3Guard-Gen-4B Qwen · text-generation 4.4 B 33 K ✓ apache-2.0 467 K 10.9 GB
394 Meta-Llama-3.1-8B-Instruct-FP8 RedHatAI · text-generation 8.0 B 131 K ⚠ llama3.1 465 K 11.7 GB
395 typhoon2.5-qwen3-4b typhoon-ai · text-generation 4.0 B 262 K ✓ apache-2.0 461 K 10.0 GB
396 pplx-embed-v1-0.6b perplexity-ai · feature-extraction 600 M 33 K ✓ mit 461 K 3.2 GB
397 tiny-mixtral TitanML · text-generation 250 M 131 K unknown 460 K 1.6 GB
398 bge-base-en BAAI · feature-extraction 110 M 512 ✓ mit 458 K 1.0 GB
399 paraphrase-MiniLM-L12-v2 sentence-transformers · sentence-similarity 30 M 512 ✓ apache-2.0 456 K 0.7 GB
400 MedCPT-Query-Encoder ncbi · feature-extraction 110 M 512 other 454 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.