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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. Enjoy optimized memory usage and computational efficiency, allowing you to run more complex workloads on existing hardware. 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.
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It is based on similar technologies as gemini Integrate gemma 3 seamlessly with popular ml frameworks including pytorch, tensorflow, and jax The first version was released in february 2024, followed by gemma 2 in june 2024 and gemma 3 in march 2025.
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This repository contains the implementation of the gemma pypi package.
Gemma models demonstrate strong performance across academic benchmarks for language understanding, reasoning, and safety. Deploy gemma 3, google's open model, to production on google cloud Serverless cloud run for simplicity or gke for robust orchestration. Today google releases gemma 3, a new iteration of their gemma family of models
The models range from 1b to 27b parameters, have a context window up to 128k tokens, can accept images and text, and support 140+ languages Try out gemma 3 now 👉🏻 gemma 3 space All the models are on the hub and tightly integrated with the hugging face ecosystem. Gemma models are available in two sizes
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
The parameters in gemma 3n models are divided into 4 main groups
