Welcome to the Gemma Cookbook

This is a collection of guides and examples for Google Gemma.

Get started with the Gemma models

Gemma is a family of lightweight, generative artificial intelligence (AI) open models, built from the same research and technology used to create the Gemini models. The Gemma model family includes:

• Gemma
  The core models of the Gemma family.
  • Gemma
    For a variety of text generation tasks and can be further tuned for specific use cases
  • Gemma 2
    Higher-performing and more efficient, available in 2B, 9B, 27B parameter sizes
• Gemma variants
  • CodeGemma
    Fine-tuned for a variety of coding tasks
  • PaliGemma
    Vision Language Model
    For a deeper analysis of images and provide useful insights
  • RecurrentGemma
    Based on Griffin architecture
    For a variety of text generation tasks
  • ShieldGemma
    Fine-tuned for evaluating the safety of text prompt input and text output responses against a set of defined safety policies
  • DataGemma
    Fine-tuned for using Data Commons to address AI hallucinations

You can find the Gemma models on the Hugging Face Hub, Kaggle, Google Cloud Vertex AI Model Garden, and ai.nvidia.com.

Table of Notebooks

• Gemma
• CodeGemma
• PaliGemma
• Workshops and technical talks
• Showcase complex end-to-end use cases
• Gemma on Google Cloud : GCP open models has additional notebooks for using Gemma

Get help

Ask a Gemma cookbook-related question on the developer forum, or open an issue on GitHub.

Wish list

If you want to see additional cookbooks implemented for specific features/integrations, please open a new issue with “Feature Request” template.

If you want to make contributions to the Gemma Cookbook project, you are welcome to pick any idea in the “Wish List” and implement it.

Contributing

Contributions are always welcome. Please read contributing before implementation.

Thank you for developing with Gemma! We’re excited to see what you create.

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