Chronos is a series of pre-trained time series forecasting models based on language model architectures. Time series are converted into sequences of tokens through scaling and quantization, and then a language model is trained using cross-entropy loss. After training, multiple future trajectories are sampled given the historical context to obtain probabilistic predictions. The Chronos model has been trained on a large amount of publicly available time series data and synthetic data generated using Gaussian processes.