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Gemma - Google DeepMind
Gemma is a collection of lightweight, state-of-the-art open models built from the same technology that powers our Gemini models. Build with our next generation AI systems. Explore models …
gemma3
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 …
Gemma 3 model overview - Google AI for Developers
Mar 21, 2025 · Gemma 3 lets you define coding functions with specific syntax and constraints, and the model can call these functions to complete tasks. Start building. Gemma 3 models are …
Welcome Gemma 3: Google's all new multimodal, multilingual, …
Mar 12, 2025 · Today Google releases Gemma 3, a new iteration of their Gemma family of models. The models range from 1B to 27B parameters, have a context window up to 128k …
GitHub - google-deepmind/gemma: Gemma open-weight LLM …
Gemma is a family of open-weights Large Language Model (LLM) by Google DeepMind, based on Gemini research and technology. This repository contains the implementation of the gemma …
Gemma 3: Google’s new open model based on Gemini 2.0 - The …
Mar 12, 2025 · Gemma 3 is a collection of lightweight, state-of-the-art open models designed to run on devices. Gemma 3 outperforms other models in its size class, making it ideal for single …
Gemma: Open Models Based on Gemini Research and Technology
Mar 13, 2024 · This work introduces Gemma, a family of lightweight, state-of-the art open models built from the research and technology used to create Gemini models. Gemma models …
Gemmaverse - Google DeepMind
Welcome to the Gemmaverse: Explore Gemma models crafted by the community.
n finetuned versions. In particular, our novel post-training recipe significantly improves the math, chat, instruction-following and multilingual abilities, making Gemma3-4B-IT competitive with …
Get started with Gemma models | Google AI for Developers
Jun 2, 2025 · These are the main paths you can follow when using Gemma models in an application: Select a model, tune it for a specific task, and then deploy it in an application, or …