Run Gemma-4 E2B-it with llama.cpp on Raspberry Pi4

A guide shows how to run Gemma-4 E2B-it locally on a Raspberry Pi 4 with llama.cpp.

The walkthrough covers cloning llama.cpp, building with CMake, and placing a GGUF quantized model in the models folder.

Inference is run with llama-cli, and the example demonstrates the model replying to a simple hello prompt.

The post also recommends rebuilding with clang and ARM NEON support for better Raspberry Pi performance.