Reinforcement Learning
MLX
Safetensors
English
Chinese
qwen3_5
CUDA
MUSA
GPU-Kernel
Reinforcement-Learning
mlx-my-repo
6-bit
Instructions to use cnfusion/MusaCoder-27B-mlx-6Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use cnfusion/MusaCoder-27B-mlx-6Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MusaCoder-27B-mlx-6Bit cnfusion/MusaCoder-27B-mlx-6Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- d4bd2a1ba0aa69fbcb463536c523226f7579dd5347f0a057c8396013b84c10d9
- Size of remote file:
- 5.34 GB
- SHA256:
- 0a989b30bc839747c1de1912be3d468abdf324390184d1bde950956e602bd8a0
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