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:
- 1e9f9cf2fd51c244bb70eb264c893bd94cdcb422d052aa8b418de6b8e843eb03
- Size of remote file:
- 5.37 GB
- SHA256:
- 0316837a1df62bf910a6af6de8f98b4b1a10842d1c805c1bcbdb5a03f5a3b88e
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