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Models that run on Mac M3 · 24 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
$
558 models
#ModelParamsContextCommercial use30dOn Mac M3 · 24 GB
301 vietnamese-bi-encoder bkai-foundation-models · sentence-similarity 130 M 256 ✓ apache-2.0 476 K 1.1 GB
302 wav2vec2-large-xlsr-mvc-swahili eddiegulay · ASR 320 M — ✓ apache-2.0 476 K 1.9 GB
303 wide_resnet50_2.racm_in1k timm · image-classification 70 M — ✓ apache-2.0 473 K 0.8 GB
304 Nemotron-3-Embed-1B-BF16 nvidia · sentence-similarity 1.1 B 262 K other 469 K 3.2 GB
305 Qwen3Guard-Gen-4B Qwen · text-generation 4.4 B 33 K ✓ apache-2.0 467 K 10.9 GB
306 Meta-Llama-3.1-8B-Instruct-FP8 RedHatAI · text-generation 8.0 B 131 K ⚠ llama3.1 465 K 11.7 GB
307 typhoon2.5-qwen3-4b typhoon-ai · text-generation 4.0 B 262 K ✓ apache-2.0 461 K 10.0 GB
308 pplx-embed-v1-0.6b perplexity-ai · feature-extraction 600 M 33 K ✓ mit 461 K 3.2 GB
309 tiny-mixtral TitanML · text-generation 250 M 131 K unknown 460 K 1.6 GB
310 bge-base-en BAAI · feature-extraction 110 M 512 ✓ mit 458 K 1.0 GB
311 paraphrase-MiniLM-L12-v2 sentence-transformers · sentence-similarity 30 M 512 ✓ apache-2.0 456 K 0.7 GB
312 MedCPT-Query-Encoder ncbi · feature-extraction 110 M 512 other 454 K 1.0 GB
313 BioLORD-2023 FremyCompany · sentence-similarity 110 M 512 other 446 K 1.0 GB
314 Qwen3-4B-AWQ Qwen · text-generation 4.0 B 41 K ✓ apache-2.0 445 K 4.0 GB
315 Bangla-twoclass-Sentiment-Analyzer Arunavaonly · text-classification 280 M 512 ✓ mit 443 K 1.8 GB
316 Phi-4-mini-instruct microsoft · text-generation 3.8 B 131 K ✓ mit 442 K 9.5 GB
317 stable-diffusion-v1-4 CompVis · text-to-image 860 M — ⚠ creativeml-openrail-m 438 K 13.5 GB
318 Qwen3-TTS-12Hz-0.6B-Base Qwen · text-to-speech 910 M — ✓ apache-2.0 435 K 3.4 GB
319 Olmo-3-7B-Instruct allenai · text-generation 7.3 B 66 K ✓ apache-2.0 429 K 17.7 GB
320 Qwen2.5-3B-Instruct-unsloth-bnb-4bit unsloth · text-generation 3.2 B 33 K ✓ apache-2.0 428 K 3.6 GB
321 japanese-gpt-neox-small rinna · text-generation 200 M 2 K ✓ mit 426 K 1.3 GB
322 Qwen2.5-Coder-14B-Instruct-AWQ Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 425 K 13.7 GB
323 vit_tiny_r_s16_p8_224.augreg_in21k timm · image-classification 10 M — ✓ apache-2.0 423 K 0.5 GB
324 Voxtral-Mini-4B-Realtime-2602-gguf handy-computer · ASR — — ✓ apache-2.0 416 K 3.6 GB
325 CodeLlama-7b-hf codellama · text-generation 6.7 B 16 K ⚠ llama2 414 K 16.3 GB
326 deid_roberta_i2b2 obi · token-classification 350 M 512 ✓ mit 412 K 2.1 GB
327 Qwen2.5-1.5B-apeach jason9693 · text-classification 1.5 B 131 K unknown 411 K 7.5 GB
328 granite-speech-4.1-2b ibm-granite · ASR 2.3 B — ✓ apache-2.0 409 K 6.2 GB
329 Zamba2-1.2B-instruct Zyphra · text-generation 1.2 B 4 K ✓ apache-2.0 408 K 6.0 GB
330 audiobox-aesthetics facebook · audio-classification 100 M — ✓ cc-by-4.0 407 K 1.0 GB
331 Qwen3-ForcedAligner-0.6B Qwen · ASR 920 M — ✓ apache-2.0 404 K 2.7 GB
332 rtdetr_r101vd_coco_o365 PekingU · object-detection 80 M — ✓ apache-2.0 404 K 0.9 GB
333 EXAONE-3.5-7.8B-Instruct-AWQ LGAI-EXAONE · text-generation 7.8 B 33 K other 401 K 7.5 GB
334 wav2vec2-large-xlsr-kazakh aismlv · ASR 320 M — ✓ apache-2.0 386 K 1.9 GB
335 s2-pro fishaudio · text-to-speech 4.6 B — other 383 K 11.2 GB
336 mistral-7b-v0.3-bnb-4bit unsloth · text-generation 7.5 B 33 K ✓ apache-2.0 368 K 6.2 GB
337 Ilama-3.2-1B hmellor · text-generation 1.2 B 131 K unknown 365 K 6.1 GB
338 bert-small-pii-detection gravitee-io · token-classification 30 M 512 ✓ apache-2.0 363 K 0.6 GB
339 convnext_femto.d1_in1k timm · image-classification 10 M — ✓ apache-2.0 363 K 0.5 GB
340 gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF yuxinlu1 · text-generation — — ✓ apache-2.0 358 K 1.4 GB
341 segformer-b0-finetuned-ade-512-512 nvidia · image-segmentation 0 M — other 357 K 0.5 GB
342 multilingual-sentiment-analysis tabularisai · text-classification 140 M 512 ✗ cc-by-nc-4.0 353 K 1.1 GB
343 Qwen3-4B-Thinking-2507 Qwen · text-generation 4.0 B 262 K ✓ apache-2.0 347 K 10.0 GB
344 gpt-oss-20b-MXFP4-Q8 mlx-community · text-generation 20.9 B 131 K ✓ apache-2.0 344 K 16.9 GB
345 MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF GnLOLot · text-generation — — ✓ apache-2.0 344 K 1.3 GB
346 gemma-3-270m-it google · text-generation · gated 270 M — ⚠ gemma 344 K 1.1 GB
347 gpt-neo-125m EleutherAI · text-generation 150 M 2 K ✓ mit 343 K 1.1 GB
348 Llama-2-7b-hf NousResearch · text-generation 6.7 B 4 K unknown 335 K 16.3 GB
349 Mistral-7B-Instruct-v0.2-AWQ TheBloke · text-generation 7.2 B 33 K ✓ apache-2.0 325 K 6.2 GB
350 efficientnet_b2.ra_in1k timm · image-classification 10 M — ✓ apache-2.0 314 K 0.5 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.