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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 151 ASR 89 image-text-to-text 84 sentence-similarity 57 feature-extraction 48 translation 47 text-classification 39 image-classification 33 token-classification 23 text-to-speech 17 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
$
739 models
#ModelParamsContextCommercial use30dOn Mac M4 Max · 64 GB
451 convnext_femto.d1_in1k timm · image-classification 10 M — ✓ apache-2.0 363 K 0.5 GB
452 Apertus-8B-Instruct-2509 swiss-ai · text-generation 8.1 B 66 K ✓ apache-2.0 362 K 19.4 GB
453 whisper-medium openai · ASR 760 M — ✓ apache-2.0 358 K 4.0 GB
454 gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF yuxinlu1 · text-generation — — ✓ apache-2.0 358 K 1.4 GB
455 segformer-b0-finetuned-ade-512-512 nvidia · image-segmentation 0 M — other 357 K 0.5 GB
456 multilingual-sentiment-analysis tabularisai · text-classification 140 M 512 ✗ cc-by-nc-4.0 353 K 1.1 GB
457 Fanar-1-9B-Instruct QCRI · text-generation 8.8 B 4 K ✓ apache-2.0 353 K 21.1 GB
458 higgs-tts-3-4b bosonai · text-to-speech 4.7 B — other 349 K 11.4 GB
459 Qwen3-4B-Thinking-2507 Qwen · text-generation 4.0 B 262 K ✓ apache-2.0 347 K 10.0 GB
460 Apertus-70B-Instruct-2509-quantized.w4a16 RedHatAI · text-generation 11.3 B 66 K ✓ apache-2.0 346 K 46.0 GB
461 gpt-oss-20b-MXFP4-Q8 mlx-community · text-generation 20.9 B 131 K ✓ apache-2.0 344 K 16.9 GB
462 MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF GnLOLot · text-generation — — ✓ apache-2.0 344 K 1.3 GB
463 gemma-3-270m-it google · text-generation · gated 270 M — ⚠ gemma 344 K 1.1 GB
464 gpt-neo-125m EleutherAI · text-generation 150 M 2 K ✓ mit 343 K 1.1 GB
465 Llama-2-7b-hf NousResearch · text-generation 6.7 B 4 K unknown 335 K 16.3 GB
466 NVIDIA-Nemotron-Nano-12B-v2 nvidia · text-generation 12.3 B — other 331 K 29.4 GB
467 T-lite-it-2.1 t-tech · text-generation 8.2 B 41 K ✓ apache-2.0 327 K 19.7 GB
468 Mistral-7B-Instruct-v0.2-AWQ TheBloke · text-generation 7.2 B 33 K ✓ apache-2.0 325 K 6.2 GB
469 efficientnet_b2.ra_in1k timm · image-classification 10 M — ✓ apache-2.0 314 K 0.5 GB
470 edgenext_small.usi_in1k timm · image-classification 10 M — ✓ mit 313 K 0.5 GB
471 granite-4.1-3b ibm-granite · text-generation 3.4 B 131 K ✓ apache-2.0 312 K 8.5 GB
472 NVIDIA-Nemotron-Nano-9B-v2 nvidia · text-generation 8.9 B 131 K other 310 K 21.4 GB
473 RMBG-1.4 briaai · image-segmentation 40 M — other 310 K 0.7 GB
474 segformer_b2_clothes mattmdjaga · image-segmentation 30 M — other 308 K 0.6 GB
475 voice-gender-classifier JaesungHuh · audio-classification 20 M — ✓ mit 307 K 0.6 GB
476 Jan-v3.5-4B-gguf janhq · text-generation — — ✓ apache-2.0 306 K 2.8 GB
477 Qwen2.5-3B Qwen · text-generation 3.1 B 33 K other 306 K 7.8 GB
478 xlm-roberta-base-ner-hrl Davlan · token-classification 280 M 512 ✓ afl-3.0 304 K 1.8 GB
479 Olmo-3-7B-Instruct-SFT allenai · text-generation 7.3 B 66 K ✓ apache-2.0 301 K 17.7 GB
480 phishing-email-detection-distilbert_v2.4.1 cybersectony · text-classification 70 M 512 ✓ apache-2.0 301 K 0.8 GB
481 Qwen2-0.5B-Instruct Qwen · text-generation 490 M 33 K ✓ apache-2.0 294 K 1.7 GB
482 Meta-Llama-3.1-8B-Instruct-GGUF bartowski · text-generation — — ⚠ llama3.1 294 K 3.7 GB
483 mms-lid-126 facebook · audio-classification 970 M — ✗ cc-by-nc-4.0 291 K 4.9 GB
484 deberta-v3-base-prompt-injection-v2 protectai · text-classification 180 M 512 ✓ apache-2.0 291 K 1.3 GB
485 CommunityForensics-DeepfakeDet-ViT buildborderless · image-classification 40 M — ✓ mit 290 K 0.7 GB
486 Meta-Llama-3-8B NousResearch · text-generation 8.0 B 8 K other 290 K 19.4 GB
487 rtdetr_v2_r18vd PekingU · object-detection 20 M — ✓ apache-2.0 289 K 0.6 GB
488 SmolLM-135M HuggingFaceTB · text-generation 130 M 2 K ✓ apache-2.0 288 K 1.1 GB
489 DeepSeek-R1-Distill-Qwen-7B deepseek-ai · text-generation 7.6 B 131 K ✓ mit 288 K 18.4 GB
490 Llama-3.2-1B-Instruct unsloth · text-generation 1.2 B 131 K ⚠ llama3.2 287 K 3.4 GB
491 MuQ-large-msd-iter OpenMuQ · audio-classification 330 M — ✗ cc-by-nc-4.0 286 K 2.0 GB
492 gemma-4-12B-coder-fable5-composer2.5-v1-GGUF yuxinlu1 · text-generation — — ✓ apache-2.0 286 K 5.8 GB
493 roberta-large-mnli FacebookAI · text-classification 360 M 512 ✓ mit 285 K 2.1 GB
494 llama-7b huggyllama · text-generation 6.7 B 2 K other 285 K 16.3 GB
495 MiMo-7B-Base XiaomiMiMo · text-generation 7.8 B 33 K ✓ mit 284 K 18.9 GB
496 vit_small_patch16_224.augreg_in21k_ft_in1k timm · image-classification 20 M — ✓ apache-2.0 283 K 0.6 GB
497 Qwen2.5-7B-Instruct-GPTQ-Int4 Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 282 K 7.8 GB
498 nsfw-classifier giacomoarienti · image-classification 90 M — ✗ cc-by-nc-nd-4.0 279 K 0.9 GB
499 granite-4.0-h-tiny ibm-granite · text-generation 6.9 B 131 K ✓ apache-2.0 279 K 16.8 GB
500 DeepSeek-R1-0528-Qwen3-8B-MLX-4bit lmstudio-community · text-generation 1.3 B 131 K ✓ mit 278 K 5.8 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.