Instructions to use nafisabdkhan/DeepSeek-Coder-V2-Instruct-mlx-2Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nafisabdkhan/DeepSeek-Coder-V2-Instruct-mlx-2Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir DeepSeek-Coder-V2-Instruct-mlx-2Bit nafisabdkhan/DeepSeek-Coder-V2-Instruct-mlx-2Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 6e631d6e759df3dcd8c5aec33bc0c3b60b344cd0b02750f68bd1890e4ad9d2d0
- Size of remote file:
- 5.35 GB
- SHA256:
- b08ae1fb972466c9436c4245969fdc061d140a7208abdb2529b31737ded9eca7
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