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# Introducing Gemma: Google's New Open LLM Models for Enhanced Language Generation

**[Collections](https://daily.dev/sources/collections)** · 1 min read · 1 upvotes · 0 comments

## Summary

Google introduces Gemma, a new generation of open models for building AI responsibly. Gemma models provide state-of-the-art performance, optimized across frameworks and hardware, and come in two sizes. They can be run on various platforms and are integrated with popular frameworks like JAX, TensorFlow, and PyTorch.

## Content

Google has introduced Gemma, a new generation of open models designed to assist developers and researchers in building AI responsibly. Gemma models provide state-of-the-art performance, are optimized across frameworks and hardware, and include tools for safety classification, debugging, and guidance. These lightweight models come in two sizes, 2B and 7B, and can be run on various platforms, including Google Cloud, Vertex AI, and GKE. They are integrated with popular frameworks like JAX, TensorFlow, and PyTorch. Google emphasizes the importance of responsible AI and offers a Responsible Generative AI Toolkit to prioritize safe AI applications with Gemma. Free access and credits are available to developers and researchers for research and development purposes. Gemma outperforms other models on benchmarks and can even run on a laptop. It raises questions about responsible use and user accountability. NVIDIA and Google have collaborated to optimize Gemma for all NVIDIA AI platforms, offering cost reduction and faster innovation. With Gemma, Google aims to stimulate innovation and enable a wide array of applications in the AI community.

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