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 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 The first version was released in february 2024, followed by gemma 2 in june 2024 and gemma 3 in march 2025. 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. This repository contains the implementation of the gemma pypi package. 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 Gemma 3 supports over 140 languages and offers advanced text and visual reasoning capabilities.
Gemma was created by the google deepmind research lab that also developed closed source gemini, google's generative ai chatbots.
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