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Qwen3-ASR-0.6B-MLX-4bit
aufklarer/Qwen3-ASR-0.6B-MLX-4bit
Qwen3-ASR-0.6B-MLX-4bit is a machine learning model from aufklarer. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
MLX 4-bit quantized conversion of Qwen/Qwen3-ASR-0.6B for Apple Silicon inference.
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From the Hugging Face model README
Qwen3 ASR 0.6B — MLX 4-bit
MLX 4-bit quantized conversion of Qwen/Qwen3-ASR-0.6B for Apple Silicon inference.
Usage
Used by speech-swift Qwen3ASR module:
let model = try await Qwen3ASRModel.fromPretrained()
let text = model.transcribe(audio: samples, sampleRate: 16000)
audio transcribe audio.wav
Model Details
- Architecture: Qwen3-ASR encoder-decoder (Whisper-style audio encoder + Qwen3 text decoder)
- Parameters: 0.6B
- Quantization: 4-bit (MLX)
- Size: ~680 MB
- Languages: Multilingual (EN, ZH, JA, KO, FR, DE, ES, and more)
- Guide: soniqo.audio/guides/transcribe
- Docs: soniqo.audio
- GitHub: soniqo/speech-swift
- Library
- mlx
- Type
- qwen3_asr
- License
- apache-2.0
- Languages
- en, zh, ja, ko, fr, de
- Created
- Feb 28, 2026
- Updated
- Apr 12, 2026