Instructions to use ddalcu/YuE2-3B-MLX-Serve-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ddalcu/YuE2-3B-MLX-Serve-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download ddalcu/YuE2-3B-MLX-Serve-8bit --local-dir YuE2-3B-MLX-Serve-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
YuE2-3B β MLX Serve (8-bit)
m-a-p/YuE2-3B with the YuE2-Vae
decoder folded in and 8-bit affine (group size 64) on the backbone, in the layout of
ahmadw/YuE2-3B-MLX (its 8bit/ folder, mirrored unchanged).
Lyrics and a style prompt in, a 48 kHz stereo song out, planned from an editable ABC score.
Runs in mlx-serve (POST /v1/audio/music-generations and the app's Music tab):
mlx-serve pull ddalcu/YuE2-3B-MLX-Serve-8bit
Files: model.safetensors (backbone), vae.safetensors (decoder), config.json, vae_config.json,
qwen.tiktoken, yue2_generation_config.json.
License
Weights are CC BY-NC 4.0 (non-commercial), inherited from YuE2-3B and YuE2-Vae. Credit YuE2 (m-a-p) and
ahmadw's MLX conversion when you publish output. The SnakeBeta and Oobleck decoder code are MIT (NVIDIA, Stability AI);
see the upstream THIRD_PARTY_NOTICES.md.
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Model tree for ddalcu/YuE2-3B-MLX-Serve-8bit
Base model
m-a-p/YuE2-3B