Instructions to use theoracleguy/Qwen3-TTS-12Hz-0.6B-Base-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use theoracleguy/Qwen3-TTS-12Hz-0.6B-Base-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-TTS-12Hz-0.6B-Base-bf16 theoracleguy/Qwen3-TTS-12Hz-0.6B-Base-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
theoracleguy/Qwen3-TTS-12Hz-0.6B-Base-bf16
This model was converted to MLX format from Qwen/Qwen3-TTS-12Hz-0.6B-Base using mlx-audio version 0.3.0.
Refer to the original model card for more details on the model.
Use with OpenVox
This model can also be used with OpenVox, a desktop application for running compatible AI voice and text-to-speech models locally through a graphical interface.
After the required model files are downloaded, compatible workflows can run locally and can also be accessed through OpenVox API and MCP integrations.
Available features depend on the capabilities of the selected model. OpenVox is a third-party application and is not affiliated with or endorsed by the original model authors or maintainers.
Use with mlx-audio
pip install -U mlx-audio
CLI Example:
python -m mlx_audio.tts.generate --model mlx-community/Qwen3-TTS-12Hz-0.6B-Base-bf16 --text "Hello, this is a test."
Python Example:
from mlx_audio.tts.utils import load_model
from mlx_audio.tts.generate import generate_audio
model = load_model("mlx-community/Qwen3-TTS-12Hz-0.6B-Base-bf16")
generate_audio(
model=model,
text="Hello, this is a test.",
ref_audio="path_to_audio.wav",
file_prefix="test_audio",
)
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Model size
0.9B params
Tensor type
BF16
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Hardware compatibility
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