Reinforcement Learning
MLX
Safetensors
English
Chinese
qwen3_5
CUDA
MUSA
GPU-Kernel
Reinforcement-Learning
mlx-my-repo
3-bit
Instructions to use cnfusion/MusaCoder-27B-mlx-3Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use cnfusion/MusaCoder-27B-mlx-3Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MusaCoder-27B-mlx-3Bit cnfusion/MusaCoder-27B-mlx-3Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- c81e0d4259b074adfebcdf2ba77d07f396032ef2020e7bc261febcb618784cf1
- Size of remote file:
- 5.35 GB
- SHA256:
- 95602b4a130050f9158beaf3d4aa764abc483e00c8478630548bbac7a56f83eb
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