How Gemma 4's Per-Layer Embeddings Actually Work — And Why E2B Punches Above 2B

This article explains Per-Layer Embeddings (PLE), a mechanism in Gemma 4 E2B that enables it to outperform larger models despite its 2B parameter count. It delves into the exact mechanism, comparing E2B's benchmarks and discussing PLE's impact on LLM understanding, quantization, and deployment.