Instructions to use mohan007/pi05-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mohan007/pi05-mlx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir pi05-mlx-4bit mohan007/pi05-mlx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 0034910fc7747f2bca26c6e82cc41d273e826eaf1a64257d5e435449f0363fcd
- Size of remote file:
- 2.84 GB
- SHA256:
- ff8bf110ed61224bd3d1500244787c84043bae38d673777e91023c256f1771bc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.