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Google Gemma
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Google Gemma

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This product is listed by LIKETG on behalf of third-party merchants. Products/services/after-sales are all provided by third-party merchants, not official LIKETG products. All activities, benefits, and restrictions are unrelated to LIKETG official. Please identify carefully.

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A lightweight, state-of-the-art open model built with the same research and technology we used to create the Gemini models.

Product Information

What is Google gemma?

Gemma is a family of lightweight, state-of-the-art open models designed to assist developers and researchers in building AI responsibly. These models are built using the same research and technology that powers Google's Gemini Chatbot (formerly BARD) and AI-related tools in Workspace (previously Google Duet AI). Available in two sizes—Gemma 2B and Gemma 7B—each comes with both pretrained and instruction-tuned variants. They are lightweight enough to run directly on a developer's laptop or desktop computer with a CPU or GPU, as well as on the Google Cloud Platform with GPU and TPU acceleration. These models are text-to-text, decoder-only large language models focused on English, featuring open weights, pretrained variants, and instruction-tuned variants. The models are accessible through platforms such as Kaggle, Hugging Face, NVIDIA’s NeMo, and Google’s Vertex AI.

How to use Google gemma?

Google Gemma is a series of lightweight, advanced open models designed to help developers and researchers responsibly build AI. It is based on the same research and technology as Google Gemini chatbots and Workspace AI tools.

Core Functions of Google gemma

AI Writing
AI-Powered
AI chatbot
Chatbot Builder

Usage Scenarios of Google gemma

  • Assisting Developers and Researchers in Building AI Responsibly

Common Questions about Google gemma

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This product is listed by LIKETG on behalf of third-party merchants. Products/services/after-sales are all provided by third-party merchants, not official LIKETG products. All activities, benefits, and restrictions are unrelated to LIKETG official. Please identify carefully.
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