Running Google Gemma 4 Locally with LM Studio's New Headless CLI and Claude Code (ai.georgeliu.com) AI

The article explains how to run Google’s Gemma 4 26B (MoE) locally on macOS using LM Studio 0.4.0’s new headless command-line tools (llmster/lms CLI) and how to integrate the setup with Claude Code. It walks through downloading and loading the model, checking performance and memory/parallelism, and selecting context length and quantization to fit within a Mac with 48GB unified memory. It also notes that while Gemma 4’s MoE design makes it feasible on modest hardware, running it via Claude Code can introduce noticeable slowdown.