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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. Engineered for speed and quality, with a significantly reduced memory footprint. 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.
It is based on similar technologies as gemini Gemma 3n was created in close collaboration with leading mobile hardware manufacturers 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.
Whether you're a developer testing ideas or a business deploying solutions, we make advanced ai accessible without the need for massive computing resources. Gemma models demonstrate strong performance across academic benchmarks for language understanding, reasoning, and safety. 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. 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.
Discover gemma 3, google's advanced ai model with enhanced math, coding, and vision capabilities
Learn how it was built, trained, and more.
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