Gemma 2

What Is Gemma 2?

Gemma 2 is an AI model from Google, available in three sizes: 2 billion, 9 billion, and 27 billion parameters. It is designed for strong performance and efficiency, with a focus on running quickly across a variety of hardware and being easy to deploy in real-world situations. Its architecture enables fast information processing, making it suitable for tasks that require quick, reliable results. Gemma 2 also includes built-in safety features that contribute to its performance.

Who Is Behind Gemma 2?

Google created Gemma 2 as part of the Gemma family, which also includes Gemma 1 and a 2.6 billion parameter version. Alongside the built-in safety advancements, Google developed ShieldGemma, a safety content classifier built on Gemma 2 to help keep outputs safe for users.

How to Get Started with Gemma 2

• Explore the Gemma models: The Weights and Biases Model Registry offers a way to see what Gemma models can do, along with launch tools and step-by-step examples.
• Use the Gemma Cookbook: A resource with practical examples and recipes, including image captioning with PaliGemma, code generation with CodeGemma, and building chatbots by fine-tuning Gemma models.
• Deploy on Google Cloud: For the best performance, Gemma 2 can be deployed on Google Cloud, where TPU optimization on Vertex AI offers strong performance and a better total cost of ownership.
• Experiment and adapt: Gemma models can be tailored to specific needs or datasets using different backend frameworks on platforms like Colab.

Benchmarks

• Gemma 2: 27 billion parameters, 83.7% efficiency
• Gemma 1: 2.6 billion parameters, 16.7% efficiency
• Mistral: 9 billion parameters, 84.2% efficiency

Gemma 2 combines lightweight sizes, built-in safety features, and flexible deployment options, making it a practical choice for developers exploring open models.