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hugging-mac/audio8-asr-coreml

sourceHugging Facecc-by-nc-4.0updated 2mo agoView on Hugging Face

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Model Card

Audio8-ASR 0.1B — Core ML for Apple Silicon

A ready-to-use hybrid Core ML conversion of Audio8-ASR-0.1B for fast, private, multilingual speech transcription on Apple Silicon.

This model is integrated into Hugging Mac, where you can run it locally and build macOS voice apps, transcription services, plugins, and agents.

Non-commercial license: the model is provided under CC-BY-NC-4.0 and may not be used commercially without separate permission from the upstream rights holder.

Architecture

This is an explicitly hybrid runtime rather than a fully Core ML autoregressive model:

—The audio encoder and MLP tower run with Core ML on the Apple Neural Engine.
—The cached Qwen2 decoder runs with PyTorch MPS on the GPU.
—A multifunction ML Program provides optimized 5, 10, and 30-second audio buckets.
—Audio-tower weights use INT8 linear quantization with FP16 compute.

The package includes the Core ML audio tower, decoder and projector weights, processor configuration, and reproducible conversion metadata. The tokenizer is downloaded from the pinned upstream model by Hugging Mac.

Model details

Property	Value
Languages	Chinese, English, French, German, Japanese, Korean, Cantonese
Audio	16 kHz mono, up to 30 seconds
Parameters	0.324B end-to-end; 0.104B language model
Core ML target	macOS 15 or later
Package size	429 MB
Decoding	Greedy autoregressive decoding with KV cache

Core ML functions

Function	`audios` input	`attn_mask` input	`hidden` output
`tower_5s`	`1 × 128 × 500` FP32	`1 × 1 × 65 × 65` FP32	`65 × 1024` FP16
`tower_10s`	`1 × 128 × 1000` FP32	`1 × 1 × 130 × 130` FP32	`130 × 1024` FP16
`tower_30s`	`1 × 128 × 3000` FP32	`1 × 1 × 390 × 390` FP32	`390 × 1024` FP16

Inputs are 128-bin log-Mel features plus an additive attention mask. The default Core ML function is tower_30s; Hugging Mac automatically selects the smallest suitable bucket.

Use with Hugging Mac

Install the ASR dependencies and run the Hugging Mac application:

bash

git clone https://github.com/devilyouwei/hugging-mac.git
cd hugging-mac
uv sync --all-packages
uv run hugging-mac-web

Open the Models page, install Audio8-ASR 0.1B Core ML, then use Live Transcription or build against the SpeechTranscription capability.

For the full runtime API and implementation, see the Audio8-ASR SDK package.

Provenance

—Upstream model: Audio8/Audio8-ASR-0.1B
—Upstream revision: 8487da63d581fa4fc9b5c60444cb57c3a523d7aa
—Conversion format: audio8-asr-coreml-hybrid
—Conversion metadata: included in audio8-asr-coreml/conversion.json
—No upstream remote Python code is included or executed by Hugging Mac.

Integrity

Directory SHA-256:

text

6721e90590aee02b6091ec79e3ea451ae1997399e18fcf451f079535a44fce48

License and attribution

The converted model retains the upstream CC-BY-NC-4.0 license, attribution requirements, and non-commercial restriction. Hugging Mac is an independent open-source project and is not affiliated with or endorsed by Audio8 or AutoArk.