A Visual Guide to Gemma 4 12B (newsletter.maartengrootendorst.com) AI

The article is a visual walkthrough of Google DeepMind’s Gemma 4 12B, focusing on how it differs from other Gemma 4 variants by removing the vision and audio encoders and using lighter embedding/projection modules so the main LLM can start processing earlier. It explains how the model handles image inputs via patch embeddings with injected spatial position information, and audio inputs by splitting raw audio into short segments and projecting them directly into the LLM’s token dimensionality.