Own your AI: Learn how to fine-tune Gemma 3 270M and run it on-device- Google Developers Blog

What this post added

This post details the process of fine-tuning Gemma 3 270M using QLoRA for custom tasks like emoji translation, quantizing the model for on-device inference (reducing size to under 300MB), and deploying it in a web app using MediaPipe or Transformers.js. It provides practical steps, code examples, and links to Colab notebooks and GitHub repositories for implementation.