aufklarer/Qwen3-TTS-12Hz-0.6B-Base-MLX-8bit

🤗 Hugging Face sourceapache-2.0512M params1.0 GBsafetensors✓ 1 checksumupdated today

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Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo aufklarer/Qwen3-TTS-12Hz-0.6B-Base-MLX-8bit ./model-folder

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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