Gemma 3 by Google

Gemma 3 is a series of open-weight foundation models developed by Google and available in parameter sizes of 2B, 7B, 12B, and 27B. The models support multimodal inputs including text, images, and short video clips, and feature a 128,000-token context window for handling long-form documents and extended conversations. Gemma 3 is designed to run efficiently on a single GPU or compatible consumer hardware, including Apple Silicon and NVIDIA RTX cards. Model weights are available at no cost through Google AI, Hugging Face, and Kaggle under the Apache 2.0 license, which permits both research and commercial deployment. View alternatives. Gemma 3 is used by software developers building local or on-premise AI applications, researchers adapting models for specialized domains through fine-tuning, and organizations that need to run inference without sending data to external cloud services. Common use cases include building multilingual chatbots, integrating vision-language understanding into mobile applications, processing long documents, and deploying AI on edge hardware where latency and connectivity constraints apply. The models support LoRA fine-tuning, making domain adaptation practical without requiring full retraining infrastructure Browse similar tools.