
Gemma - Google DeepMind
Large Language Models (LLMs), such as Gemma, may sometimes provide inaccurate or offensive content that doesn’t represent Google’s views. Use discretion before relying on, publishing, or …
Gemma 3 model overview - Google AI for Developers
Nov 1, 2025 · 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 (language model) - Wikipedia
Gemma is a series of open-source large language models developed by Google DeepMind. It is based on similar technologies as Gemini. The first version was released in February 2024, followed by …
gemma3 - ollama.com
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 …
Introducing Gemma 3: The Developer Guide- Google Developers Blog
Mar 12, 2025 · We are excited to introduce Gemma 3, our most capable and advanced version of the Gemma open-model family, building upon the success of previous Gemma releases.
Welcome Gemma 3: Google's all new multimodal, multilingual, long ...
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 tokens, can accept …
What is Gemma: Key Features and Benefits - GeeksforGeeks
Jul 23, 2025 · Gemma is a family of lightweight, state-of-the-art open models that are designed to be easy for developers to use. Gemma models are available in two sizes: 2B and 7B.
Google AI Releases TranslateGemma: A New Family of Open …
3 days ago · Google AI has released TranslateGemma, a suite of open machine translation models built on Gemma 3 and targeted at 55 languages. The family comes in 4B, 12B and 27B parameter sizes. …
gemma-cookbook/FunctionGemma at main - GitHub
Dec 18, 2025 · A collection of guides and examples for the Gemma open models from Google. - google-gemini/gemma-cookbook
Gemma 2 with QK-norm. In this section, we focus on some key differences from pr 5:1 interleaving of local/global layers. We alternate between a local sliding window self-attention (Beltagy et al., 2020) …