Reinforcement Learning
MLX
Safetensors
English
Chinese
qwen3_5
CUDA
MUSA
GPU-Kernel
Reinforcement-Learning
mlx-my-repo
8-bit precision
Instructions to use cnfusion/MusaCoder-27B-mlx-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use cnfusion/MusaCoder-27B-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MusaCoder-27B-mlx-8Bit cnfusion/MusaCoder-27B-mlx-8Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- b802dc691c4dbf7bf5f896dca5c19a899a1f6f2064a9f4cac8281a0ee553204c
- Size of remote file:
- 5.35 GB
- SHA256:
- c99c700a15679260fa68f3dd648cf9294a40a9e5c212c171834cb2930f6be78f
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