Fine-Tuning Gemma Models in Hugging Face
We recently announced that Gemma, the open weights language model from Google Deepmind, is available for the broader open-source community via Hugging Face. It’s available in 2 billion and 7 billion parameter sizes with pretrained and instruction-tuned flavors. It’s available on Hugging Face, supported in TGI, and easily accessible for deployment and fine-tuning in the Vertex Model Garden and Google Kubernetes Engine.
The Gemma family of models also happens to be well suited for prototyping and experimentation using the free GPU resource available via Colab. In this post we will