Instructions to use ekryski/diffusiongemma-26B-A4B-it-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ekryski/diffusiongemma-26B-A4B-it-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir diffusiongemma-26B-A4B-it-4bit ekryski/diffusiongemma-26B-A4B-it-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- b8229316bf63d00e79e36647e91296d70d1501e0ef76f71e9be6b4f9eed573a1
- Size of remote file:
- 3.84 GB
- SHA256:
- 0b48bc291319611135baf05f9bafce03106b4b1564ab220b1c6149662ce380ad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.