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All on-device models

Speech recognition models for iPhone and Mac (Core ML & MLX)

253 models for this task are tagged Core ML or MLX on Hugging Face, or come from Apple: 224 Core ML, 29 MLX and 0 other Apple models. The table lists the most downloaded in the last 30 days.

Last updated 2026-11-02 (UTC).

Showing 100 of 100.

ModelSizeDownloads (30 days)
argmaxinc/whisperkit-coremlCore ML30.8 GB27.3M
mlx-community/parakeet-tdt-0.6b-v3MLXfrom nvidia/parakeet-tdt-0.6b-v32.5 GB2.7M
mlx-community/parakeet-tdt-0.6b-v2MLXfrom nvidia/parakeet-tdt-0.6b-v22.5 GB807K
FluidInference/parakeet-tdt-0.6b-v3-coremlCore MLfrom nvidia/parakeet-tdt-0.6b-v33.6 GB311K
mlx-community/whisper-large-v3-turboMLX1.6 GB285K
argmaxinc/parakeetkit-proCore ML3.5 GB200K
mlx-community/whisper-small-mlxMLX481 MB117K
argmaxinc/qwenasrkit-proCore ML3.9 GB101K
FluidInference/parakeet-ctc-110m-coremlCore MLfrom nvidia/parakeet-tdt_ctc-110m106 MB91.3K
mlx-community/whisper-large-v3-mlxMLX3.1 GB72K
FluidInference/parakeet-realtime-eou-120m-coremlCore MLfrom nvidia/parakeet_realtime_eou_120m-v11.3 GB54.1K
argmaxinc/speakerkit-coremlCore ML33.1 MB52.5K
mlx-community/parakeet-tdt-1.1bMLXfrom nvidia/parakeet-tdt-1.1b4.3 GB32.6K
Barrymanalow/nb-whisper-coremlCore MLfrom NbAiLab/nb-whisper-small488 MB31.7K
aufklarer/Parakeet-EOU-120M-CoreML-INT8Core MLfrom nvidia/parakeet_realtime_eou_120m-v1118 MB29.2K
mlx-community/whisper-base-mlxMLX144 MB26.9K
mlx-community/whisper-medium-mlxMLX1.5 GB18.4K
FluidInference/parakeet-ultra-coremlCore MLfrom moondream/parakeet-ultra632 MB17.2K
FluidInference/parakeet-tdt-0.6b-v2-coremlCore MLfrom nvidia/parakeet-tdt-0.6b-v22.6 GB15.5K
argmaxinc/speakerkit-proCore ML246 MB15.5K
argmaxinc/whisperkit-proCore ML8.8 GB13.4K
mlx-community/whisper-large-v3-turbo-4bitMLXfrom openai/whisper-large-v3-turbo464 MB12.6K
FermionResearch/Phonon-2MLXfrom nvidia/parakeet-tdt-0.6b-v3164 MB10.7K
BarathwajAnandan/cohere-transcribe-03-2026-CoreML-6bitCore MLfrom CohereLabs/cohere-transcribe-03-20264.1 GB6,581
aufklarer/Omnilingual-ASR-CTC-300M-CoreML-INT8-10sCore MLfrom facebook/omniASR-CTC-300M—3,824
TheStageAI/thewhisper-large-v3-turboCore MLfrom openai/whisper-large-v3-turbo—3,639
FluidInference/diar-streaming-sortformer-coremlCore MLfrom nvidia/diar_streaming_sortformer_4spk-v2.1—3,368
mlx-community/parakeet-tdt_ctc-0.6b-jaMLXfrom nvidia/parakeet-tdt_ctc-0.6b-ja—3,206
FluidInference/parakeet-unified-en-0.6b-coremlCore MLfrom nvidia/parakeet-unified-en-0.6b—3,178
selcukkubur/parakeet-ultra-mlxMLXfrom moondream/parakeet-ultra—2,855
mlx-community/parakeet-tdt_ctc-110mMLXfrom nvidia/parakeet-tdt_ctc-110m—2,627
mlx-community/Voxtral-Mini-4B-Realtime-2602-4bitMLXfrom mistralai/Voxtral-Mini-4B-Realtime-2602—2,251
ConwayResearch/Underdog-Bark-3.0-ProCore MLfrom nvidia/parakeet-tdt-0.6b-v3—2,079
mlx-community/whisper-large-v3-turbo-8bitMLXfrom openai/whisper-large-v3-turbo—2,049
BarathwajAnandan/nemotron-3.5-asr-streaming320-int8-CoreMLCore MLfrom nvidia/nemotron-3.5-asr-streaming-0.6b—1,698
mlx-community/whisper-tiny-asr-fp16MLX—1,658
BarathwajAnandan/nemotron-3.5-asr-offline-6bit-CoreMLCore MLfrom nvidia/nemotron-3.5-asr-streaming-0.6b—1,633
aufklarer/Qwen3-ASR-CoreMLCore MLfrom Qwen/Qwen3-ASR-0.6B—1,582
aufklarer/Nemotron-3.5-ASR-Streaming-0.6B-CoreML-INT8Core MLfrom nvidia/nemotron-3.5-asr-streaming-0.6b—1,536
mlx-community/whisper-small-asr-fp16MLX—1,489
mlx-community/nemotron-3.5-asr-streaming-0.6bMLXfrom nvidia/nemotron-3.5-asr-streaming-0.6b—1,471
DictionLabs/whisperkit-coremlCore MLfrom openai/whisper-base—1,442
FluidInference/parakeet-tdt-ctc-110m-coremlCore MLfrom nvidia/parakeet-tdt_ctc-110m—1,422
FermionResearch/Phonon-2.5MLXfrom nvidia/parakeet-tdt-0.6b-v3—1,062
mlx-community/whisper-tiny.en-8bitMLXfrom openai/whisper-tiny.en—1,058
mlx-community/whisper-base-asr-fp16MLX—992
aufklarer/Qwen3-ASR-1.7B-MLX-4bitMLXfrom Qwen/Qwen3-ASR-1.7B—913
FermionResearch/Phonon-2.5-EnglishMLXfrom nvidia/parakeet-tdt-0.6b-v3—907
mlx-community/VibeVoice-ASR-4bitMLX—828
mlx-community/nemotron-3.5-asr-streaming-0.6b-8bitMLXfrom nvidia/nemotron-3.5-asr-streaming-0.6b—766
mlx-community/whisper-large-v3-asr-fp16MLX—728
aufklarer/Whisper-Large-v3-Turbo-CoreMLCore MLfrom openai/whisper-large-v3-turbo—715
mlx-community/whisper-large-v3-4bitMLXfrom openai/whisper-large-v3—678
FluidInference/parakeet-redux-coremlCore MLfrom moondream/parakeet-redux—670
ConwayResearch/Underdog-Bark-0.8B-1.0MLX—635
mlx-community/parakeet-ctc-1.1bMLXfrom nvidia/parakeet-ctc-1.1b—620
TheStageAI/thewhisper-large-v3Core ML—599
FluidInference/phonon-2-coremlCore MLfrom FermionResearch/Phonon-2—587
codeclawd/parakeet-tdt-0.6b-v3-coremlCore MLfrom nvidia/parakeet-tdt-0.6b-v3—539
FluidVoice-Labs/fluid-speech-mini-coremlCore MLfrom moondream/parakeet-ultra—517
nitinh/whisperkit-hinglish-coremlCore MLfrom Oriserve/Whisper-Hindi2Hinglish-Prime—516
baristiran/whisper-turbo-quranCore MLfrom openai/whisper-large-v3-turbo—493
FluidInference/sensevoice-small-coremlCore MLfrom FunAudioLLM/SenseVoiceSmall—393
FluidInference/parakeet-0.6b-ja-coremlCore MLfrom nvidia/parakeet-tdt_ctc-0.6b-ja—372
ConwayResearch/Underdog-Bark-3.0Core MLfrom nvidia/parakeet-tdt-0.6b-v3—358
FermionResearch/Phonon-2-CoreMLCore MLfrom FermionResearch/Phonon-2—347
yslinear/kotoba-whisper-v2.2-coremlCore MLfrom kotoba-tech/kotoba-whisper-v2.2—341
eaispart/whisperkit-coremlCore ML—316
markstrom/pianissimo-sv-coremlCore MLfrom KlangAI/pianissimo-sv—313
mweinbach1/parakeet-tdt-0.6b-v3-coremlCore MLfrom nvidia/parakeet-tdt-0.6b-v3—305
FluidInference/canary-1b-v2-coremlCore MLfrom nvidia/canary-1b-v2—289
eranshir/ivrit-ai-whisper-large-v3-turbo-coremlCore MLfrom ivrit-ai/whisper-large-v3-turbo—280
smkrv/gigaam-v3-e2e-rnnt-coremlCore MLfrom ai-sage/GigaAM-v3—256
VocaHQ/whisperkit-coremlCore MLfrom Oriserve/Whisper-Hindi2Hinglish-Apex—249
BuilderHelm/Parakeet-TDT-CTC-110M-CoreMLCore MLfrom nvidia/parakeet-tdt_ctc-110m—245
madjinn/kb-whisper-small-coremlCore MLfrom KBLab/kb-whisper-small—206
FluidInference/nemotron-3.5-transcribe-lite-coremlCore MLfrom nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B—187
DictionLabs/parakeet-tdt-0.6b-v3-coremlCore MLfrom nvidia/parakeet-tdt-0.6b-v3—185
Glimpse-Dictation/Parakeet-Ultra-coremlCore MLfrom moondream/parakeet-ultra—179
Selbyggen/nb-whisper-large-distil-turbo-coremlCore MLfrom NbAiLab/nb-whisper-large-distil-turbo-beta—176
BuilderHelm/Parakeet-CTC-110M-CoreMLCore MLfrom nvidia/parakeet-tdt_ctc-110m—167
ctyau/cohere-transcribe-coreml-int8Core ML—167
weiren119/Breeze-ASR-25-coreml-4bit-paletteCore MLfrom MediaTek-Research/Breeze-ASR-25—165
ctyau/cohere-transcribe-coreml-fp16Core MLfrom CohereLabs/cohere-transcribe-03-2026—161
FluidInference/qwen3-asr-0.6b-coremlCore MLfrom Qwen/Qwen3-ASR-0.6B—155
eranshir/ivrit-ai-whisper-large-v3-turbo-coreml-int8Core MLfrom ivrit-ai/whisper-large-v3-turbo—152
FluidInference/Nemotron-3.5-ASR-Streaming-Multilingual-0.6b-CoreMLCore MLfrom nvidia/nemotron-3.5-asr-streaming-0.6b—147
kramerthomas/roest-v3-whisper-1.5b-coremlCore MLfrom CoRal-project/roest-v3-whisper-1.5b—145
ConwayResearch/Underdog-Bark-3.0-PlusCore MLfrom nvidia/parakeet-tdt-0.6b-v3—140
FluidInference/nemotron-labs-unified-asr-0.6b-coremlCore MLfrom nvidia/nemotron-labs-unified-asr-0.6b—136
argmaxinc/whisperkit-coreml_01-30-24Core ML—135
weiren119/Breeze-ASR-26-coreml-4bit-paletteCore MLfrom MediaTek-Research/Breeze-ASR-26—135
spert/flix-swissgerman-whisperkitCore MLfrom Flix-AI/flix-swissgerman-full—124
gerardkieffer/diktatur-whisper-lb-coremlCore MLfrom unilux/whisper-base-v1-luxembourgish—118
ihnatov-yuri/parakeet-tdt-0.6b-v3-ukCore MLfrom nvidia/parakeet-tdt-0.6b-v3—117
Rybib/whisperkit-coremlCore ML—113
madjinn/kb-whisper-medium-coremlCore MLfrom KBLab/kb-whisper-medium—112
FluidInference/cohere-transcribe-03-2026-coremlCore MLfrom CohereLabs/cohere-transcribe-03-2026—110
jbilcke/whisper-medical-large-coremlCore MLfrom Na0s/Medical-Whisper-Large-v3—102
madjinn/whisper-medium-coremlCore MLfrom openai/whisper-medium—98

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.