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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 88 image-text-to-text 80 sentence-similarity 55 feature-extraction 45 translation 43 text-classification 39 image-classification 32 token-classification 21 text-to-speech 12 audio-classification 10 object-detection 10 image-segmentation 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
$
612 models
#ModelParamsContextCommercial use30dOn Mac M3 · 24 GB
251 LaBSE setu4993 · sentence-similarity 471 M 512 ✓ apache-2.0 687 K 2.6 GB
252 wav2vec2-large-xlsr-53-gender-recognition-librispeech alefiury · audio-classification 320 M — ✓ apache-2.0 676 K 1.9 GB
253 paraphrase-multilingual-MiniLM-L12-v2 Xenova · feature-extraction 120 M 512 unknown 675 K 0.8 GB
254 wikineural-multilingual-ner Babelscape · token-classification 180 M 512 ✗ cc-by-nc-sa-4.0 675 K 1.3 GB
255 parakeet-ctc-1.1b nvidia · ASR 1.1 B — ✓ cc-by-4.0 672 K 2.0 GB
256 paraphrase-MiniLM-L3-v2 sentence-transformers · sentence-similarity 20 M 512 ✓ apache-2.0 668 K 0.6 GB
257 gte-Qwen2-1.5B-instruct Alibaba-NLP · sentence-similarity 1.8 B 131 K ✓ apache-2.0 665 K 8.6 GB
258 gemma-2-2b-it google · text-generation · gated 2.6 B — ⚠ gemma 663 K 6.6 GB
259 Ternary-Bonsai-27B-gguf prism-ml · text-generation — — ✓ apache-2.0 663 K 1.2 GB
260 Qwen3-TTS-12Hz-0.6B-Base Qwen · text-to-speech 910 M — ✓ apache-2.0 655 K 3.4 GB
261 stable-diffusion-v1-4 CompVis · text-to-image 860 M — ⚠ creativeml-openrail-m 650 K 13.5 GB
262 audiobox-aesthetics facebook · audio-classification 100 M — ✓ cc-by-4.0 637 K 1.0 GB
263 nli-mpnet-base-v2 sentence-transformers · sentence-similarity 110 M 512 ✓ apache-2.0 635 K 1.0 GB
264 Nemotron-3-Embed-1B-BF16 nvidia · sentence-similarity 1.1 B 262 K other 633 K 3.2 GB
265 all-roberta-large-v1 sentence-transformers · sentence-similarity 360 M 512 ✓ apache-2.0 632 K 2.1 GB
266 Qwen2.5-Coder-7B-Instruct-AWQ Orion-zhen · text-generation 7.6 B 33 K ✓ apache-2.0 623 K 7.9 GB
267 RMBG-2.0 briaai · image-segmentation · gated 220 M — other 622 K 1.5 GB
268 MiniCPM-SALA-AWQ-8bit cyankiwi · text-generation 3.1 B 524 K ✓ apache-2.0 616 K 12.7 GB
269 gte-large thenlper · sentence-similarity 340 M 512 ✓ mit 616 K 1.3 GB
270 SmolLM3-3B-Base HuggingFaceTB · text-generation 3.1 B 66 K ✓ apache-2.0 615 K 7.7 GB
271 SmolLM3-3B HuggingFaceTB · text-generation 3.1 B 66 K ✓ apache-2.0 614 K 7.7 GB
272 EXAONE-3.5-7.8B-Instruct-AWQ LGAI-EXAONE · text-generation 7.8 B 33 K other 614 K 7.5 GB
273 MiniCPM5-1B openbmb · text-generation 1.1 B 131 K ✓ apache-2.0 611 K 3.0 GB
274 repvgg_a0.rvgg_in1k timm · image-classification 10 M — ✓ mit 606 K 0.5 GB
275 VieNeu-TTS-v3-Turbo pnnbao-ump · text-to-speech 130 M 1 K ✓ apache-2.0 605 K 1.1 GB
276 Qwen2.5-Coder-3B-Instruct Qwen · text-generation 3.1 B 33 K other 604 K 7.8 GB
277 Qwen2-1.5B-Instruct Qwen · text-generation 1.5 B 33 K ✓ apache-2.0 601 K 4.1 GB
278 bge-small-en-v1.5 michaelfeil · feature-extraction 30 M 512 ✓ mit 599 K 0.7 GB
279 Qwen3-ASR-0.6B Qwen · ASR 940 M — ✓ apache-2.0 598 K 2.7 GB
280 detr-resnet-50 facebook · object-detection 40 M 1 K ✓ apache-2.0 591 K 0.7 GB
281 Qwen3-Reranker-4B-W4A16-G128 boboliu · text-classification 4.1 B 41 K ✓ apache-2.0 586 K 4.0 GB
282 LFM2.5-230M-GGUF LiquidAI · text-generation — — other 586 K 0.7 GB
283 Parable-Qwen3-8B-Claude-Fable-5-GGUF AnkitAI · text-generation — — ✓ apache-2.0 583 K 6.0 GB
284 parakeet-tdt-0.6b-v3 nvidia · ASR 630 M — ✓ cc-by-4.0 577 K 1.4 GB
285 convnext_tiny.in12k_ft_in1k timm · image-classification 30 M — ✓ apache-2.0 577 K 0.6 GB
286 table-transformer-detection microsoft · object-detection 30 M 1 K ✓ mit 576 K 0.6 GB
287 parakeet-tdt-0.6b-v3-gguf handy-computer · ASR — — ✓ cc-by-4.0 575 K 1.0 GB
288 japanese-gpt-neox-small rinna · text-generation 200 M 2 K ✓ mit 575 K 1.3 GB
289 SmolLM-1.7B-Instruct-quantized.w4a16 nm-testing · text-generation 1.8 B 2 K ✓ apache-2.0 571 K 2.7 GB
290 LFM2.5-8B-A1B-GGUF LiquidAI · text-generation — — other 571 K 5.8 GB
291 Qwen2.5-Coder-1.5B-Instruct Qwen · text-generation 1.5 B 33 K ✓ apache-2.0 567 K 4.1 GB
292 wav2vec2-large-xls-r-300m-welsh infinitejoy · ASR 300 M — ✓ apache-2.0 567 K 1.2 GB
293 bge-reranker-v2.5-gemma2-lightweight-gptq boboliu · text-generation 9.2 B 8 K unknown 563 K 8.7 GB
294 e5-small-v2 intfloat · sentence-similarity 30 M 512 ✓ mit 558 K 0.7 GB
295 xlm-roberta-base-language-detection papluca · text-classification 280 M 512 ✓ mit 557 K 1.8 GB
296 rtdetr_v2_r18vd PekingU · object-detection 20 M — ✓ apache-2.0 557 K 0.6 GB
297 phi-2 microsoft · text-generation 2.8 B 2 K ✓ mit 556 K 7.0 GB
298 wav2vec2-xls-r-300m-cv7-turkish mpoyraz · ASR 300 M — ✓ cc-by-4.0 556 K 1.2 GB
299 inclusively-classification E-MIMIC · text-classification 110 M 512 ✗ cc-by-nc-sa-4.0 552 K 1.0 GB
300 paraphrase-albert-small-v2 sentence-transformers · sentence-similarity 10 M 512 ✓ apache-2.0 551 K 0.6 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.