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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 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. Gemma 3 is designed to work seamlessly with popular ml frameworks including pytorch, tensorflow, and jax We provide optimized implementations and integration guides for each framework. 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. Gemma is a family of lightweight, generative artificial intelligence (ai) open models, built from the same research and technology used to create the gemini models. This repository contains the implementation of the gemma pypi package. 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. You can quickly test gemma without setting up a development environment using google ai studio This web application lets you try out prompts with gemma and evaluate its capabilities. 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 3 supports over 140 languages and offers advanced text and visual reasoning capabilities.