Gemma

In plain words

Gemma is a family of open source large language models built by Google using the same research and technology behind its Gemini models. Designed for developers, these lightweight models aim to deliver high performance while remaining efficient enough for deployment on various hardware. The models are available for research and commercial use, making them accessible to teams building AI applications without requiring proprietary services.

written from the facts on this page · September 2026

From the sources

Gemma is a family of lightweight, state-of-the-art https://opensource.googleblog.com/2024/02/building-open-models-responsibly-gemini-era.html built from the same research and technology used to create the Gemini models.

Our most advanced open models help developers create AI applications that run wherever users need them — from cloud servers to laptops and even phones. Byte for byte, the most capable open models. Purpose-built for advanced reasoning and agenticfrom deepmind.google

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  Gemma 22024 · blog.google · ▲279

  Lightweight, state-of-the-art open models from Google

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  Google Gemma 4Apr 2026 · blog.google · ▲437

  Google's most intelligent open models to date

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  Gemma Open Models by Google2024 · deepmind.google · ▲38

  New state-of-the-art open models

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  Gemma 32025 · deepmind.google · ▲200

  Build with multimodal AI from Google

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  Gemma 3n2025 · developers.googleblog.com · ▲199

  Run powerful multimodal AI right on your phone

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  Gemma Gem – AI model embedded in a browser – no API keys, no cloudApr 2026 · github.com · ▲156

  Gemma Gem is a Chrome extension that loads Google's Gemma 4 (2B) through WebGPU in an offscreen document and gives it tools to interact with any webpage: read content, take screenshots, click elements, type text, scroll, and run JavaScript. You get a small chat overlay on every page. Ask it about the page and it (usually) figures out which tools to call. It has a thinking mode that shows chain-of-thought reasoning as it works. It's a 2B model in a browser. It works for simple page questions and running JavaScript, but multi-step tool chains are unreliable and it sometimes ignores its tools…

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