TimesFM is a pre-trained time series forecasting model developed by Google Research, intended for time series prediction tasks. The model has been pre-trained on multiple datasets and can handle time series data of varying frequencies and lengths. Its main advantages include high performance, strong scalability, and ease of use. The model is suitable for various applications requiring accurate time series data predictions in fields such as finance, meteorology, and energy. It is freely available on the Hugging Face platform, allowing users to easily download and utilize it.