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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. Authentic filipino food, from your favorite dish. This repository contains the implementation of the gemma pypi package.
Whether you're a developer testing ideas or a business deploying solutions, we make advanced ai accessible without the need for massive computing resources. Engineered for speed and quality, with a significantly reduced memory footprint. 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 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 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's filipino 2 go is a popular food truck serving a variety of filipino dishes 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 3n was created in close collaboration with leading mobile hardware manufacturers
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