Using Google Gemma in Unreal Engine
Google's Gemma models are built from the same research as Gemini but designed to run locally. Gemma 3 comes in 1B, 4B, 12B, and 27B sizes — with the 1B variant being one of the fastest and smallest capable models available. For game developers who need AI that runs on minimal hardware, Gemma is hard to beat.
Why Gemma for Game Development?
- Gemma 3 1B is incredibly fast. Sub-second responses on any modern GPU. Players won't notice they're waiting for AI.
- Built by Google. Trained on the same data pipelines as Gemini, distilled into a deployable size.
- Multimodal variants. Gemma 3 supports vision input — send screenshots or textures alongside text prompts.
- Permissive license. Commercial use allowed. Ship Gemma with your game.
- Excellent for edge deployment. The 1B model runs on mobile-class hardware, opening doors for handheld and mobile game AI.
Best Gemma Models for Games
- Gemma 3 1B — Ultra-fast, runs anywhere. Perfect for NPC barks, item descriptions, tooltips.
- Gemma 3 4B — Better quality, still lightweight. Good for multi-turn NPC conversations.
- Gemma 3 12B — Strong general quality. Handles complex dialogue and story generation.
- Gemma 3 27B — Near-frontier quality for demanding applications.
Running Gemma in Unreal Engine
GenAI Llama makes running Gemma in Unreal Engine trivial:
- Install Ollama
- Pull Gemma:
ollama pull gemma3:1b - Install GenAI Llama from Fab
- Chat with Gemma from Blueprints or C++ — streaming responses arrive word-by-word
Want to combine Gemma locally with Google Gemini in the cloud? GenAI for Unreal supports both — Gemma via OpenAI Compatible Mode and Gemini natively.