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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 3 supports over 140 languages and offers advanced text and visual reasoning capabilities. 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 Learn about gemma's architecture, use cases, performance, and how to run inference using vllm. 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.
The name gemma is a girl's name of italian origin meaning precious stone Gemma is a jewel of a name, an italian classic that was very popular in 1980s england, but has only recently been started to be used here It entered the list in 2008. You can use gemma 3 for free directly on this page with no setup required
We provide rich examples showcasing various applications and use cases to help you get started quickly. 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. Developed by google deepmind and other teams across google, gemma is named after the latin gemma, meaning precious stone
The gemma model weights are supported by developer tools that promote innovation, collaboration, and the responsible use of artificial intelligence (ai).
Explore google's gemma ai models — from lightweight 2b llms to multimodal 27b powerhouses
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