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:
- df8fb18a592fe1c002d3f153d5223d1cf8eef6ca6d91519219d16b364e6102e8
- Size of remote file:
- 5.36 GB
- SHA256:
- ebb1dd5331448e3f1e37c2e3ea946fed1d1798eb6782c0eedd39c14423fa48e0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.