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Qwen3-TTS-12Hz-0.6B-CustomVoice-MLX-4bit – AI Model by aufklarer | AlphaNeural AI

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aufklarer/
Qwen3-TTS-12Hz-0.6B-CustomVoice-MLX-4bit

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Qwen3 TTS 12Hz 0.6B CustomVoice — MLX 4-bit

MLX 4-bit quantized conversion of Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice for Apple Silicon inference.

Usage

Used by speech-swift Qwen3TTS module:

swift

let model = try await Qwen3TTSModel.fromPretrained(
    modelId: TTSModelVariant.customVoice.rawValue
)
let audio = try model.synthesize("Hello!", speaker: "ryan")

audio speak "Hello!" --model custom-voice --speaker ryan -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: ~964 MB
Sample rate: 24 kHz
Codec rate: 12.5 Hz
Voices: 9 preset voices + instruction-based style control

Guide: soniqo.audio/guides/speak
Docs: soniqo.audio
GitHub: soniqo/speech-swift