#gemma

I ported the whole Gemma-4 family — E2B, E4B, 12B, 31B, and the 26B-A4B MoE — to run on...

This is a submission for DEV's Summer Bug Smash: Smash Stories powered by Sentry. My AI agent was...

Cross-posted from the IO reader blog, where the full version includes all 36 unedited transcripts...

Learn how to deploy Gemma 4 26B on legacy CPU hardware using quantization and optimization techniques for surprisingly effective AI inference.

Building a website has traditionally meant wrestling with complicated code, hosting setups, and...

Following our announcement in our launch blog post, we are sharing this developer guide to help you...

Introduction A few months ago, actually, few weeks, the days are getting slower, I...

We will walk through a complete, working project: an agentic farm advisory assistant built with Gemma...

Run Google Gemma locally — VRAM needs for 2B, 7B, and 27B models. Inference speed comparisons and budget-friendly GPU picks.

Getting quality output from Gemma isn't about clever tricks — it's about matching its exact chat...

Before running any model, you need Ollama (or llama.cpp) installed for your OS. Ollama is the...

Gemma is Google's family of open-weight AI models, and Gemma 4 is its newest generation, offering...