Instructions to use theoracleguy/Qwen3-TTS-12Hz-1.7B-Base-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use theoracleguy/Qwen3-TTS-12Hz-1.7B-Base-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-TTS-12Hz-1.7B-Base-8bit theoracleguy/Qwen3-TTS-12Hz-1.7B-Base-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Qwen3-TTS-12Hz-1.7B-Base-8bit
This is an MLX 8-bit version of Qwen/Qwen3-TTS-12Hz-1.7B-Base, prepared for use with OpenVox and other applications built on mlx-audio.
The model was converted to MLX format using mlx-audio 0.3.0.
For architecture details, supported features, licensing information, and other model-specific information, refer to the original Qwen model card.
OpenVox
This model is provided for use with OpenVox, a native macOS application for local AI speech generation, voice cloning, audiobooks, transcription, dubbing, and other audio workflows.
OpenVox runs supported AI models locally on Apple Silicon Macs, allowing speech generation and voice cloning without requiring audio or text to be uploaded to a cloud speech service.
Use with mlx-audio
Install or update mlx-audio:
pip install -U mlx-audio
CLI Example
python -m mlx_audio.tts.generate \
--model theoracleguy/Qwen3-TTS-12Hz-1.7B-Base-8bit \
--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(
"theoracleguy/Qwen3-TTS-12Hz-1.7B-Base-8bit"
)
generate_audio(
model=model,
text="Hello, this is a test.",
ref_audio="path_to_audio.wav",
file_prefix="test_audio",
)
Credits
- Original model:
Qwen/Qwen3-TTS-12Hz-1.7B-Base - MLX inference framework:
mlx-audio - Packaged for use with OpenVox
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8-bit