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:
- 274bbc7dad6ec5900aee9bd4795a6791e7590acdf9e0651cd60653a14d51ff73
- Size of remote file:
- 5.36 GB
- SHA256:
- 7b535d2953bce492a3cc4927825e512ad1f3a99d645e3a51994022f2b3694551
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