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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 Gemma was created by the google deepmind research lab that also developed closed source gemini, google's generative ai chatbots. Integrate gemma 3 seamlessly with popular ml frameworks including pytorch, tensorflow, and jax
Enjoy optimized memory usage and computational efficiency, allowing you to run more complex workloads on existing hardware. Gemma is a collection of lightweight open source generative ai (genai) models 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.
Whether you're a developer testing ideas or a business deploying solutions, we make advanced ai accessible without the need for massive computing resources.
This repository contains the implementation of the gemma pypi package. 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. 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. Gemma models demonstrate strong performance across academic benchmarks for language understanding, reasoning, and safety. 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
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