- 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
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- Gemma 3 model overview - Google AI for Developers
The Gemma 3 release includes the following key features Try it in AI Studio: Image and text input: Multimodal capabilities let you input images and text to understand and analyze visual data Start building 128K token context: 16x larger input context for analyzing more data and solving more complex problems
- GitHub - google-deepmind gemma: Gemma open-weight LLM library, from . . .
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 PyPI package
- Gemma 3: Google’s new open model based on Gemini 2. 0
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-GPU or TPU applications Gemma 3 supports over 140 languages and offers advanced text and visual reasoning capabilities
- Welcome Gemma 3: Googles all new multimodal, multilingual, long . . .
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 images and text, and support 140+ languages
- Gemma: Open Models Based on Gemini Research and Technology
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 demonstrate strong performance across academic benchmarks for language understanding, reasoning, and safety
- MedGemma - Google DeepMind
MedGemma is a Gemma 3 variant optimized for medical text and image comprehension
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