Running Gemma on JAX and TPUs

This intermediate codelab guides you through setting up a Google Colab Cloud TPU environment to run Google DeepMind's Gemma open models using JAX and Flax. You will configure your Kaggle credentials to authenticate and download model weights, construct the neural network architecture using the official gemma library, load the weight parameters, and initialize a multi-turn conversational agent. Finally, you will learn how to troubleshoot common TPU-related problems such as out-of-memory errors and library mismatches.