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Qwen3-TTS-12Hz-0.6B-Base-MLX-8bit
aufklarer/Qwen3-TTS-12Hz-0.6B-Base-MLX-8bit
Qwen3-TTS-12Hz-0.6B-Base-MLX-8bit 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 8-bit quantized conversion of Qwen/Qwen3-TTS-12Hz-0.6B-Base for Apple Silicon inference.
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2K
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512M
2.6 GB on disk
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.safetensors1.3 GB · 100%
Parameter types
How the weights are stored.
BF16372M · 73%
Base models
Model card
From the Hugging Face model README
Qwen3 TTS 12Hz 0.6B Base — MLX 8-bit
MLX 8-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(
modelId: "aufklarer/Qwen3-TTS-12Hz-0.6B-Base-MLX-8bit"
)
let audio = try model.synthesize("Hello, world!")
audio speak "Hello, world!" --model base-8bit -o output.wav
Model Details
- Architecture: Qwen3-TTS (Talker transformer + Code Predictor + Mimi speech tokenizer decoder)
- Parameters: 0.6B
- Quantization: 8-bit (MLX, talker + code predictor)
- Size: ~1.3 GB
- Sample rate: 24 kHz
- Codec rate: 12.5 Hz
Variants
| Variant | Quantization | Size | Model ID |
|---|---|---|---|
| 0.6B 8-bit | 8-bit | ~1.3 GB | aufklarer/Qwen3-TTS-12Hz-0.6B-Base-MLX-8bit |
| 1.7B 8-bit | 8-bit | ~2.8 GB | aufklarer/Qwen3-TTS-12Hz-1.7B-Base-MLX-8bit |
- 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
- Mar 2, 2026
- Updated
- Jun 21, 2026