UrbanGPT adapts LLMs to spatio-temporal prediction tasks in urban computing by combining temporal modeling with instruction tuning. The project provides PyTorch implementations, model weights on Hugging Face, and datasets for training spatio-temporal LLMs. It addresses urban challenges such as crowd flow prediction and traffic forecasting using foundation models.