A collection of 4 posts
DiffusionGemma 26B-A4B is Google’s first open-weight text-diffusion LLM — a 25.2B MoE built on Gemma 4 that generates text in parallel for up to 4x faster output.
Quick answer. To run Gemma 4 on Windows, install Ollama from ollama.com, open PowerShell, and run ollama pull gemma4:e4b followed by ollama run gemma4:e4b. The E4B (~9.6 GB) variant fits comfortably on 16 GB systems. For a GUI, install LM Studio, search “gemma 4”, download a
Gemma 4 is not a drop-in upgrade. This guide covers what changed architecturally, the full benchmark comparison, VRAM requirements by model size, and exactly what code you need to update when migrating from Gemma 3.
Developers searching for Gemma 4N won't find a named model. Here's what replaced it, how Per-Layer Embeddings carry forward from Gemma 3N into Gemma 4's E-variants, and which model to run on your hardware.