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On-device models

Models you can run on iPhone, iPad and Mac, from Hugging Face

Core ML and MLX models published on Hugging Face, plus the models Apple publishes there, sorted by downloads in the last 30 days. Core ML models run on iPhone, iPad and Mac through Apple's Core ML framework; MLX models are made for Apple's MLX library, mostly on Apple silicon Macs (MLX Swift also runs on iPhone and iPad). Each name links to the model's page on Hugging Face.

1,009 Core ML models, 1,693 MLX models and 143 from Apple, updated daily from Hugging Face's public API. Last updated 2026-11-02 (UTC).

New this month

The most liked models created in the last 30 days, across Core ML, MLX and Apple's own.

See all new models

Showing 100 of 100.

ModelTaskSizeDownloads (30 days)
lmstudio-community/Qwen3.8-27B-MLX-4bitMLXfrom Qwen/Qwen3.8-27BVision language16.1 GB3.4M
lmstudio-community/Qwen3.8-27B-MLX-8bitMLXfrom Qwen/Qwen3.8-27BVision language29.5 GB3.2M
lmstudio-community/Qwen3.8-27B-MLX-6bitMLXfrom Qwen/Qwen3.8-27BVision language22.8 GB3.2M
lmstudio-community/Qwen3.8-27B-MLX-5bitMLXfrom Qwen/Qwen3.8-27BVision language19.4 GB3.2M
mlx-community/parakeet-tdt-0.6b-v3MLXfrom nvidia/parakeet-tdt-0.6b-v3Speech recognition2.5 GB2.7M
lmstudio-community/gemma-4-E4B-it-MLX-4bitMLXfrom google/gemma-4-E4B-itMultimodal6.9 GB1.2M
lmstudio-community/gemma-4-E4B-it-MLX-8bitMLXfrom google/gemma-4-E4B-itMultimodal9 GB1.2M
lmstudio-community/gemma-4-E4B-it-MLX-6bitMLXfrom google/gemma-4-E4B-itMultimodal7.9 GB1.2M
lmstudio-community/gemma-4-E4B-it-MLX-5bitMLXfrom google/gemma-4-E4B-itMultimodal7.4 GB1.2M
prism-ml/Ternary-Bonsai-27B-mlx-2bitMLXfrom Qwen/Qwen3.6-27BText generation8.5 GB985K
prism-ml/Bonsai-27B-mlx-1bitMLXfrom Qwen/Qwen3.6-27BText generation5.2 GB976K
mlx-community/parakeet-tdt-0.6b-v2MLXfrom nvidia/parakeet-tdt-0.6b-v2Speech recognition2.5 GB807K
mlx-community/Qwen3.8-27B-4bitMLXfrom Qwen/Qwen3.8-27BVision language16.1 GB789K
lmstudio-community/Qwen3.5-9B-MLX-4bitMLXfrom Qwen/Qwen3.5-9BVision language6 GB698K
lmstudio-community/Qwen3.5-9B-MLX-8bitMLXfrom Qwen/Qwen3.5-9BVision language10.5 GB647K
rapid-mlx/Ling-3.0-tiny-MLX-4bitMLXfrom inclusionAI/Ling-3.0-tinyText generation4.5 GB392K
lmstudio-community/gemma-4-26B-A4B-it-QAT-MLX-4bitMLXVision language15.6 GB354K
ornith-ai/Ornith-1.5-35B-A3B-MLXMLXText generation69.3 GB344K
lmstudio-community/Qwen3.6-27B-MLX-4bitMLXfrom Qwen/Qwen3.6-27BVision language16.1 GB322K
lmstudio-community/gemma-4-12B-it-MLX-4bitMLXfrom google/gemma-4-12B-itMultimodal6.8 GB321K
ornith-ai/Ornith-1.5-9B-MLX-8bitMLXText generation9.5 GB313K
ornith-ai/Ornith-1.5-9B-MLXMLXText generation17.9 GB313K
lmstudio-community/Qwen3.6-27B-MLX-8bitMLXfrom Qwen/Qwen3.6-27BVision language29.5 GB309K
lmstudio-community/Qwen3.6-27B-MLX-5bitMLXfrom Qwen/Qwen3.6-27BVision language19.4 GB308K
lmstudio-community/Qwen3.6-27B-MLX-6bitMLXfrom Qwen/Qwen3.6-27BVision language22.8 GB307K
lmstudio-community/gemma-4-12B-it-MLX-8bitMLXfrom google/gemma-4-12B-itMultimodal12.7 GB305K
lmstudio-community/gemma-4-12B-it-MLX-6bitMLXfrom google/gemma-4-12B-itMultimodal9.8 GB303K
lmstudio-community/gemma-4-12B-it-MLX-5bitMLXfrom google/gemma-4-12B-itMultimodal8.3 GB303K
mlx-community/whisper-large-v3-turboMLXSpeech recognition1.6 GB285K
lmstudio-community/Qwen3.6-35B-A3B-MLX-4bitMLXfrom Qwen/Qwen3.6-35B-A3BVision language20.4 GB279K
lmstudio-community/Qwen3.6-35B-A3B-MLX-8bitMLXfrom Qwen/Qwen3.6-35B-A3BVision language37.7 GB263K
mlx-community/Qwen2.5-Coder-7B-Instruct-4bitMLXfrom Qwen/Qwen2.5-Coder-7BText generation4.3 GB259K
lmstudio-community/Qwen3.6-35B-A3B-MLX-6bitMLXfrom Qwen/Qwen3.6-35B-A3BVision language29.1 GB258K
ornith-ai/Ornith-1.5-9B-MLX-4bitMLXText generation5.1 GB255K
NexVeridian/Qwen3-Coder-Next-8bitMLXfrom Qwen/Qwen3-Coder-NextText generation84.7 GB225K
mlx-community/chatterbox-turbo-4bitMLXfrom ResembleAI/chatterbox-turboText to speech417 MB220K
lmstudio-community/gemma-4-E2B-it-MLX-4bitMLXfrom google/gemma-4-E2B-itMultimodal4.4 GB215K
ornith-ai/Ornith-1.5-9B-MLX-6bitMLXText generation7.3 GB209K
lmstudio-community/gemma-4-E2B-it-MLX-8bitMLXfrom google/gemma-4-E2B-itMultimodal5.9 GB206K
lmstudio-community/gemma-4-E2B-it-MLX-5bitMLXfrom google/gemma-4-E2B-itMultimodal4.8 GB205K
lmstudio-community/gemma-4-E2B-it-MLX-6bitMLXfrom google/gemma-4-E2B-itMultimodal5.1 GB205K
lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bitMLXfrom deepseek-ai/DeepSeek-R1-0528-Qwen3-8BText generation4.6 GB198K
mlx-community/olmOCR-2-7B-1025-mlx-8bitMLXfrom Qwen/Qwen2.5-VL-7B-InstructVision language9.5 GB190K
ornith-ai/Ornith-1.5-35B-A3B-MLX-8bitMLXText generation36.9 GB185K
mlx-community/Qwen3-ASR-0.6B-8bitMLXNo task listed1 GB177K
ornith-ai/Ornith-1.5-35B-A3B-MLX-4bitMLXText generation19.5 GB176K
lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bitMLXfrom deepseek-ai/DeepSeek-R1-0528-Qwen3-8BText generation8.7 GB171K
mlx-community/gpt-oss-20b-MXFP4-Q8MLXfrom openai/gpt-oss-20bText generation12.1 GB160K
ornith-ai/Ornith-1.5-35B-A3B-MLX-6bitMLXText generation28.2 GB155K
lmstudio-community/GLM-4.7-Flash-MLX-8bitMLXfrom zai-org/GLM-4.7-FlashText generation31.8 GB154K
lmstudio-community/GLM-4.7-Flash-MLX-6bitMLXfrom zai-org/GLM-4.7-FlashText generation24.4 GB144K
lmstudio-community/gemma-4-26B-A4B-it-MLX-4bitMLXfrom google/gemma-4-26B-A4B-itVision language15.6 GB141K
lmstudio-community/gemma-4-26B-A4B-it-MLX-8bitMLXfrom google/gemma-4-26B-A4B-itVision language28 GB136K
lmstudio-community/LFM2-24B-A2B-MLX-4bitMLXfrom LiquidAI/LFM2-24B-A2BText generation13.4 GB136K
lmstudio-community/gemma-4-26B-A4B-it-MLX-6bitMLXfrom google/gemma-4-26B-A4B-itVision language21.8 GB135K
lmstudio-community/gemma-4-26B-A4B-it-MLX-5bitMLXfrom google/gemma-4-26B-A4B-itVision language18.7 GB134K
lmstudio-community/LFM2-24B-A2B-MLX-5bitMLXfrom LiquidAI/LFM2-24B-A2BText generation16.4 GB134K
lmstudio-community/LFM2-24B-A2B-MLX-8bitMLXfrom LiquidAI/LFM2-24B-A2BText generation25.3 GB134K
lmstudio-community/LFM2-24B-A2B-MLX-6bitMLXfrom LiquidAI/LFM2-24B-A2BText generation19.4 GB134K
lmstudio-community/gemma-4-31B-it-MLX-4bitMLXfrom google/gemma-4-31B-itVision language18.4 GB131K
lmstudio-community/gemma-4-31B-it-MLX-8bitMLXfrom google/gemma-4-31B-itVision language33.8 GB131K
lmstudio-community/gemma-4-31B-it-MLX-6bitMLXfrom google/gemma-4-31B-itVision language26.1 GB126K
lmstudio-community/gemma-4-31B-it-MLX-5bitMLXfrom google/gemma-4-31B-itVision language22.3 GB125K
lmstudio-community/Qwen3-Coder-Next-MLX-8bitMLXfrom Qwen/Qwen3-Coder-NextNo task listed84.7 GB125K
lmstudio-community/Qwen3-Coder-Next-MLX-4bitMLXfrom Qwen/Qwen3-Coder-NextNo task listed44.9 GB120K
mlx-community/whisper-small-mlxMLXSpeech recognition481 MB117K
lmstudio-community/Qwen3-Coder-Next-MLX-6bitMLXfrom Qwen/Qwen3-Coder-NextNo task listed64.8 GB113K
mlx-community/Kimi-K2.5MLXfrom moonshotai/Kimi-K2.5Text generation658 GB110K
mlx-community/Qwen3.5-4B-MLX-4bitMLXfrom Qwen/Qwen3.5-4BNo task listed3.1 GB100K
lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-4bitMLXfrom Qwen/Qwen3-Coder-30B-A3B-InstructText generation17.2 GB87.5K
Jackrong/MLX-Qwopus3.5-9B-v3-4bitMLXfrom Jackrong/Qwopus3.5-9B-v3Text generation5.1 GB81.2K
mlx-community/Kokoro-82M-bf16MLXfrom yl4579/StyleTTS2-LJSpeechText to speech389 MB79K
lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-5bitMLXfrom Qwen/Qwen3-Coder-30B-A3B-InstructText generation21 GB74.7K
lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-8bitMLXfrom Qwen/Qwen3-Coder-30B-A3B-InstructText generation32.5 GB74.2K
lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-6bitMLXfrom Qwen/Qwen3-Coder-30B-A3B-InstructText generation24.8 GB73.1K
lmstudio-community/Qwen2.5-Coder-14B-Instruct-MLX-4bitMLXfrom Qwen/Qwen2.5-Coder-14B-InstructText generation8.3 GB72.8K
mlx-community/whisper-large-v3-mlxMLXSpeech recognition3.1 GB72K
mlx-community/Qwen3-4B-Instruct-2507-4bitMLXfrom Qwen/Qwen3-4B-Instruct-2507Text generation2.3 GB71.3K
mlx-community/Devstral-Small-2-24B-Instruct-2512-4bitMLXfrom mistralai/Devstral-Small-2-24B-Instruct-2512Vision language15.1 GB69.7K
Runpod/FLUX.2-klein-4B-mflux-4bitMLXfrom black-forest-labs/FLUX.2-klein-4BImage generation4.6 GB68.5K
lmstudio-community/Qwen3-VL-4B-Instruct-MLX-4bitMLXfrom Qwen/Qwen3-VL-4B-InstructVision language3.1 GB64K
lmstudio-community/Qwen3-VL-4B-Instruct-MLX-8bitMLXfrom Qwen/Qwen3-VL-4B-InstructVision language5.1 GB60.9K
lmstudio-community/Qwen3-VL-4B-Instruct-MLX-6bitMLXfrom Qwen/Qwen3-VL-4B-InstructVision language4.1 GB60.7K
lmstudio-community/Qwen3-VL-4B-Instruct-MLX-5bitMLXfrom Qwen/Qwen3-VL-4B-InstructVision language3.6 GB60.5K
lmstudio-community/Qwen3-VL-8B-Instruct-MLX-4bitMLXfrom Qwen/Qwen3-VL-8B-InstructVision language5.8 GB60.4K
lmstudio-community/LFM2.5-1.2B-Instruct-MLX-8bitMLXfrom LiquidAI/LFM2.5-1.2B-InstructText generation1.2 GB56K
lmstudio-community/Qwen2.5-Coder-14B-Instruct-MLX-8bitMLXfrom Qwen/Qwen2.5-Coder-14B-InstructText generation15.7 GB55.1K
lmstudio-community/LFM2.5-1.2B-Instruct-MLX-4bitMLXfrom LiquidAI/LFM2.5-1.2B-InstructText generation663 MB55.1K
lmstudio-community/Qwen3-VL-8B-Instruct-MLX-8bitMLXfrom Qwen/Qwen3-VL-8B-InstructVision language9.9 GB54.8K
lmstudio-community/LFM2.5-1.2B-Instruct-MLX-6bitMLXfrom LiquidAI/LFM2.5-1.2B-InstructText generation956 MB54.8K
lmstudio-community/Qwen3-VL-8B-Instruct-MLX-6bitMLXfrom Qwen/Qwen3-VL-8B-InstructVision language7.8 GB53.8K
lmstudio-community/Qwen3-VL-8B-Instruct-MLX-5bitMLXfrom Qwen/Qwen3-VL-8B-InstructVision language6.8 GB53.7K
mlx-community/Qwen3-0.6B-8bitMLXfrom Qwen/Qwen3-0.6BText generation649 MB50.8K
lmstudio-community/GLM-4.6V-Flash-MLX-4bitMLXfrom zai-org/GLM-4.6V-FlashVision language7.1 GB48.6K
lmstudio-community/GLM-4.6V-Flash-MLX-8bitMLXfrom zai-org/GLM-4.6V-FlashVision language11.8 GB47.9K
lmstudio-community/GLM-4.6V-Flash-MLX-6bitMLXfrom zai-org/GLM-4.6V-FlashVision language9.4 GB47.4K
mlx-community/Qwen3.6-27B-4bitMLXfrom Qwen/Qwen3.6-27BVision language16.1 GB44.7K
mlx-community/Qwen2.5-0.5B-Instruct-4bitMLXfrom Qwen/Qwen2.5-0.5BText generation290 MB43.9K
Jundot/Qwen3.8-Flash-Next-oQ4e-mtpMLXfrom Qwen/Qwen3.8-Flash-NextVision language108 GB43.8K
mlx-community/Qwen3.6-35B-A3B-4bitMLXfrom Qwen/Qwen3.6-35B-A3BVision language20.4 GB43.5K

The 100 most downloaded are listed here. For the rest, browse them on Hugging Face. See more on Hugging Face

Browse by task

Pages for tasks with at least 5 models, across Core ML, MLX and Apple's own.

More on on-device models

How to run these

  • Core ML: add the .mlpackage to your Xcode project, or download a compiled model when the app first needs it, and load it with the Core ML framework. Some repos ship their own Swift package; the model card says which.
  • MLX: on a Mac with Apple silicon, the mlx-lm and mlx-audio Python packages load these by name; inside an app, MLX Swift runs them on Mac, iPhone and iPad. Mind the memory: in our test a 4-bit 0.5B model peaked at about 0.36 GB on a Mac; larger models need far more.
  • Apple's own: some are Core ML files ready for an app; others are research weights for PyTorch and need converting with coremltools first.

Reading the table

  • Downloads are Hugging Face's count for the last 30 days, not all time. Hugging Face counts requests for a model's main file, so one install can count more than once.
  • Size is the total of the repo's current files on Hugging Face, in the sizes it shows (1 GB = 1,000 MB). Some repos hold several variants of a model, so it can be larger than the one download you need; a dash means it has not been measured yet.
  • Trending is Hugging Face's own score for recent attention. "from" under a name is the model it was made from.
  • Parameters is the parameter count in the model files. A count marked * comes from the model's name (such as 27B) instead: the files gave none, or a much smaller one, as packed low-bit files can.
  • Quantization is read from the model's tags and name, not checked against the files.

Before you use one

The list comes from Hugging Face's public API and is updated daily. We don't test each model. Check the license and read the model card before you ship one in an app: some licenses limit commercial use, and "other" means the terms are on the model card. Models whose names or tags point at adult or safety-removed content are left out, and so are gated models that need a Hugging Face sign-in to download.