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:
- fdc8be624ba308129c320ccaf0f7148bbba40b9cfdf77411fa395f5fb750e4ad
- Size of remote file:
- 3.84 GB
- SHA256:
- 57faecf33ef5d91d1d9c6d9c64470f9b67c36fa398789019335d4f3ec97ec8bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.