Gemma 3 – what is it?

Gemma 3 is a generation of Google’s open AI models available in 1B, 4B, 12B and 27B sizes. The model is available in pre-trained and tuned variants and supports work with text and images. The 1B–4B models are well suited to edge computing, while the 27B model can serve as the foundation for corporate RAG systems.

Gemma 3 has a context window of up to 128,000 tokens. This makes it possible to work with large documents, code fragments, logs and so on. A typical use case for this model is building “smart” semantic search across internal knowledge bases such as Confluence and Jira, or end-to-end analysis of tender documentation.

Gemma 3 is stated to support more than 140 languages, making it a suitable choice for multilingual assistants. The model can be connected to application systems, internal tools and agentic chains. This enables the creation of agents that can independently generate SQL queries to databases or call external REST APIs to enrich responses automatically. For targeted adaptation of the model to business-specific requirements without high compute costs for retraining, PEFT methods such as LoRA or qLoRA are recommended.