Fine-Tuning Gemma Models in Hugging Face with LoRA

AI Impact Summary

Google Deepmind’s Gemma models are now accessible via Hugging Face, enabling fine-tuning through Parameter Efficient FineTuning (PEFT) techniques like LoRA. This post details the implementation of LoRA for Gemma models, demonstrating how to leverage GPUs and Cloud TPUs for efficient training using PyTorch and the Hugging Face Transformers library. The example showcases a practical workflow for adapting Gemma to specific tasks, including formatting output and utilizing FSDP for accelerated training.