Introducing Gemma 3: The Developer Guide

Gemma 3, the latest version in the Gemma open-model family, builds on the success of its predecessors by introducing several advanced features, including multimodality, longer context capability, and improved handling of over 140 languages. This model supports both vision-language input and text outputs, featuring enhanced math, reasoning, and chat functionalities. Available in four sizes (1B, 4B, 12B, and 27B), Gemma 3 caters to various use cases with its pre-trained models and general-purpose instruction-tuned versions. It employs a comprehensive training approach using distillation, reinforcement learning, and model merging to optimize performance in math, coding, and instruction following. Its vision model, frozen during training, allows it to analyze, compare, and understand images while handling high-resolution inputs through an adaptive window algorithm. Gemma 3 also includes ShieldGemma 2, a 4B image safety classifier for moderating image content across safety categories. The community surrounding Gemma continues to innovate, with new techniques and applications emerging, further expanding the model's capabilities. Users can experiment with Gemma 3 directly through platforms like Google AI Studio or access model weights on Hugging Face and Kaggle, with support for various development tools and deployment options.

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