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Qwen3-TTS-12Hz-0.6B-Base-MLX-4bit
aufklarer/Qwen3-TTS-12Hz-0.6B-Base-MLX-4bit
Qwen3-TTS-12Hz-0.6B-Base-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-TTS-12Hz-0.6B-Base for Apple Silicon inference.
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Model card
From the Hugging Face model README
Qwen3 TTS 12Hz 0.6B Base — MLX 4-bit
MLX 4-bit quantized conversion of Qwen/Qwen3-TTS-12Hz-0.6B-Base for Apple Silicon inference.
Usage
Used by speech-swift Qwen3TTS module:
let model = try await Qwen3TTSModel.fromPretrained()
let audio = try model.synthesize("Hello, world!")
audio speak "Hello, world!" -o output.wav
Model Details
- Architecture: Qwen3-TTS (Talker transformer + Code Predictor + Mimi speech tokenizer decoder)
- Parameters: 0.6B
- Quantization: 4-bit (MLX, talker only)
- Size: ~981 MB
- Sample rate: 24 kHz
- Codec rate: 12.5 Hz
- Guide: soniqo.audio/guides/speak
- Docs: soniqo.audio
- GitHub: soniqo/speech-swift
- Library
- mlx
- Type
- qwen3_tts
- License
- apache-2.0
- Languages
- en, zh, ja, ko, fr, de
- Created
- Feb 28, 2026
- Updated
- Apr 12, 2026