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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. Run a background search to uncover their phone number, social photos, emails and more 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.

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It is based on similar technologies as gemini Search gemma topaz's public records online 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.

Explore google's gemma ai models — from lightweight 2b llms to multimodal 27b powerhouses Learn about gemma's architecture, use cases, performance, and how to run inference using vllm. Gemma is a collection of lightweight open source generative ai (genai) models Gemma was created by the google deepmind research lab that also developed closed source gemini, google's generative ai chatbots.