MOMENT is an open time-series foundation model developed by CMU AutonLab, published at ICML 2024. It provides pre-trained transformer weights that can be fine-tuned for multiple downstream tasks including time-series forecasting, classification, anomaly detection, and missing data imputation. The model is available in small, base, and large variants on Hugging Face and was pre-trained on the Timeseries-PILE dataset.