mustafaaljadery / lightning-whisper-mlx

An extremely fast implementation of whisper optimized for Apple Silicon using MLX.
https://mustafaaljadery.github.io/lightning-whisper-mlx/
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Lightning Whisper MLX

An incredibly fast implementation of Whisper optimized for Apple Silicon.

Whisper Decoding Speed

10x faster than Whisper CPP, 4x faster than current MLX Whisper implementation.

Features

Installation

Install lightning whisper mlx using pip:

pip install lightning-whisper-mlx

Usage

Models

["tiny", "small", "distil-small.en", "base", "medium", distil-medium.en", "large", "large-v2", "distil-large-v2", "large-v3", "distil-large-v3"]

Quantization

[None, "4bit", "8bit"]

Example

from lightning_whisper_mlx import LightningWhisperMLX

whisper = LightningWhisperMLX(model="distil-medium.en", batch_size=12, quant=None)

text = whisper.transcribe(audio_path="/audio.mp3")['text']

print(text)

Notes

Credits