Instructions to use AbstractFramework/z-image-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/z-image-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir z-image-4bit AbstractFramework/z-image-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- fca8af794b06ae33bf2a784b08ab7b400f6e3d35d6008d4e8c13fdd65b453598
- Size of remote file:
- 2.14 GB
- SHA256:
- 33215c600fd1742b64006093523d4feb8dc596a4cd455074f47b7f43aa813f9c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.