Instructions to use mlx-community/dbrx-instruct-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/dbrx-instruct-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir dbrx-instruct-4bit mlx-community/dbrx-instruct-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 3c2a4191bd8e254c5622bc8c5c14b4b749a836d89b1714a0a8f57bae0d114651
- Size of remote file:
- 5.35 GB
- SHA256:
- 954fbc55f8e457c7f30008575e7466ec4cfddf120b25cd6c2753e3fa37844e00
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.