metadata
license: mit
language:
- en
- multilingual
tags:
- whisper
- coreml
- apple-silicon
- neural-engine
- speech-recognition
- asr
library_name: whisper.cpp
Whisper CoreML Models
Pre-converted CoreML encoder models for whisper.cpp, optimized for Apple Neural Engine (ANE) acceleration.
Models
| Model | Size | Description |
|---|---|---|
ggml-large-v3-turbo-encoder.mlmodelc |
~1.3 GB | Whisper large-v3-turbo encoder, ANE-optimized |
Usage
These models are used by whisper-coreml for Node.js speech recognition with Neural Engine acceleration.
npm install whisper-coreml
npx whisper-coreml download
Conversion
Models were converted using whisper.cpp's conversion tools:
python3 models/convert-whisper-to-coreml.py --model large-v3-turbo --encoder-only True --optimize-ane True
xcrun coremlc compile models/coreml-encoder-large-v3-turbo.mlpackage models/
Performance
On Apple M1 Ultra:
- 14x real-time transcription speed
- 1 hour of audio in ~4.5 minutes
License
MIT - Same as whisper.cpp