LibraxisAI/whisper-large-v3-mlx-q8

Whisper Large V3 - MLX Q8 Quantized

8-bit quantized version of OpenAI's Whisper Large V3, optimized for Apple Silicon with MLX.

Model Details

Property	Value
Original Model	openai/whisper-large-v3
Parameters	~1.55B
Quantization	INT8 (Q8)
Size	~1.6GB
Decoder Layers	32

Best accuracy among Whisper models. Use large-v3-turbo for faster inference with slightly lower accuracy.

Other Whisper Models

Model	Size	Speed	Link
small	~300MB	Fastest	LibraxisAI/whisper-small-mlx-q8
medium	~800MB	Fast	LibraxisAI/whisper-medium-mlx-q8
large-v3 (this)	~1.6GB	Slow	-
large-v3 q4	~900MB	Medium	LibraxisAI/whisper-large-v3-q4
large-v3-turbo	~900MB	Fast	LibraxisAI/whisper-large-v3-turbo-mlx-q8

Usage

import mlx_whisper

result = mlx_whisper.transcribe(
    "audio.wav",
    path_or_hf_repo="LibraxisAI/whisper-large-v3-mlx-q8"
)
print(result["text"])

Supported Languages

Full multilingual support: English, Polish, German, French, Spanish, Italian, Portuguese, Dutch, Russian, Chinese, Japanese, Korean, Arabic, Hindi, and 90+ additional languages.

Hardware Requirements

• Apple Silicon Mac (M1/M2/M3/M4)
• Minimum 16GB RAM recommended

License

MIT - inherited from OpenAI Whisper.

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Converted by LibraxisAI using mlx-whisper