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

🤗 Hugging Face 来源apache-2.0512M 参数1.0 GBsafetensors✓ 1 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

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

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