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:
- 60f6f5f9143d8d94c7d66abf054f3ef2357662aabbae711c56ce2ffbad96382a
- Size of remote file:
- 3.84 GB
- SHA256:
- 5dd2a219697b7747fa3cd98f9b638af6ae538ca9e7c785fb9708e113c1fc9595
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