aufklarer/Qwen3-TTS-12Hz-0.6B-CustomVoice-MLX-bf16

🤗 Hugging Face sourceapache-2.0906M params1.8 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-CustomVoice-MLX-bf16 ./model-folder

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Qwen3 TTS 12Hz 0.6B CustomVoice — MLX bf16

MLX bf16 (fp16) conversion of Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice for Apple Silicon inference. Weights are unquantized — the highest-fidelity CustomVoice variant.

Usage

Used by speech-swift Qwen3TTS module:

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: None — bf16/fp16 weights (highest fidelity)
Size: ~1.7 GB
Sample rate: 24 kHz
Codec rate: 12.5 Hz
Voices: 9 preset speakers (serena, vivian, uncle_fu, ryan, aiden, ono_anna, sohee, eric, dylan) + instruction-based style control