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At gemma services, we know all people matter, and it is our goal to help them know it too Gemma models are available in two sizes When we accompany members of our community with an individualized approach, they feel supported
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And when they feel supported as they face life’s challenges, they know they matter. The parameters in gemma 3n models are divided into 4 main groups 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 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 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 Try out gemma 3 now 👉🏻 gemma 3 space All the models are on the hub and tightly integrated with the hugging face ecosystem. Gemma is a lightweight, family of models from google built on gemini technology
The gemma 3 models are multimodal—processing text and images—and feature a 128k context window with support for over 140 languages.
Google has pulled its gemma ai model offline after sen 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