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Explore the development of intelligent agents using gemma models, with core components that facilitate agent creation, including capabilities for function calling, planning, and reasoning This web application lets you try out prompts with gemma and evaluate its capabilities. Gemma 3 is designed to work seamlessly with popular ml frameworks including pytorch, tensorflow, and jax

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We provide optimized implementations and integration guides for each framework. You can quickly test gemma without setting up a development environment using google ai studio Gemma is a family of generative artificial intelligence (ai) models and you can use them in a wide variety of generation tasks, including question answering, summarization, and reasoning.

The input context window length has been increased from gemma 2’s 8k to 32k for the 1b variants, and 128k for all others

Example uses include question answering, analyzing image content, summarizing documents, etc. It is based on similar technologies as gemini The first version was released in february 2024, followed by gemma 2 in june 2024 and gemma 3 in march 2025. This repository contains the implementation of the gemma pypi package.

Gemma models are available in two sizes Gemma is a collection of lightweight open source generative ai (genai) models Gemma was created by the google deepmind research lab that also developed closed source gemini, google's generative ai chatbots.