Gemma 3 has been launched as a significant advancement in the Gemma family of open models, which has achieved over 100 million downloads since its inception just a year ago. This new collection, based on the innovative technology of the Gemini 2.0 models, is designed for high performance while being portable enough to run on a wide variety of devices, including smartphones and workstations. The models come in various sizes (1B, 4B, 12B, and 27B), enabling developers to select the best fit for their hardware capabilities and performance requirements.
Gemma 3 boasts remarkable features, such as leading performance among single-accelerator models, notably surpassing competitors like Llama-405B and DeepSeek-V3 in early evaluations. With support for over 35 languages out-of-the-box and a total of more than 140 languages, Gemma 3 is ideal for creating applications tailored to diverse global audiences.
The model also includes sophisticated capabilities for analyzing images, text, and short videos, vastly expanding the possibilities for intelligent applications. Additionally, it features a 128k-token context window for managing complex tasks and supports function calling for automated workflows.
Safety is paramount in Gemma 3’s design. Its development process included comprehensive assessments to minimize risks, particularly in evaluating misuse potential for harmful content. Alongside Gemma 3, the introduction of ShieldGemma 2 enhances image safety, marking a commitment to responsible AI deployment.
With seamless integration options for popular development frameworks and immediate access to experimentation, Gemma 3 empowers developers to customize and deploy their models according to specific needs. The Gemmaverse continues to grow with innovative community contributions, supporting academic research and collaboration.
Gemma 3 signifies a pivotal moment in democratizing AI technology, making advanced capabilities accessible to developers across various domains while ensuring responsible application.
