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. This repository contains the implementation of the gemma pypi package. Eam, google deepmind1 we introduce gemma 3, a multimodal addition to the gemma family of lightweight open models, ranging in scale from 1 to 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. Google sees the new gemma being used for tasks like text classification and data analysis, which it can accomplish quickly and without heavy computing requirements. 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.
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