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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. The parameters in gemma 3n models are divided into 4 main groups Integrate gemma 3 seamlessly with popular ml frameworks including pytorch, tensorflow, and jax

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Enjoy optimized memory usage and computational efficiency, allowing you to run more complex workloads on existing hardware. This reduced parameter operation can be achieved using the flexible parameter technology built into gemma 3n models to help them run efficiently on lower resource devices 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.

This repository contains the implementation of the gemma pypi package.

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 Whether you're a developer testing ideas or a business deploying solutions, we make advanced ai accessible without the need for massive computing resources. Get started with gemma 3n in just a few simple steps

Explore the development of intelligent agents using gemma models, with core components that facilitate agent creation, including capabilities for function calling, planning, and reasoning Discover how with gemma 3, we have tried to push many of the limits of what makes a model usable and practical. Developed by google deepmind and other teams across google, gemma is named after the latin gemma, meaning precious stone The gemma model weights are supported by developer tools that promote innovation, collaboration, and the responsible use of artificial intelligence (ai).