Chronos Bolt⚡ (Mini) 🚀 Update Feb 14, 2025 : Chronos Bolt models are now available on Amazon SageMaker JumpStart! Check out the tutorial notebook to learn how to deploy Chronos endpoints for production use in a few lines of code. Chronos Bolt is a family of pretrained time series forecasting models which can be used for zero shot forecasting. It is based on the T5 encoder decoder architecture and has been trained on nearly 100 billion time series observations. It chunks the historical time series context into patches of multiple observations, which are then input into the encoder. The decoder then uses these representations to directly generate quantile forecasts across multiple future steps—a method known as direct multi step forecasting. Chronos Bolt models are up to 250 times faster and 20 times more memory efficient than the original Chronos models of the same size. Performance The following plot compares the inference time of Chronos Bolt against the original Chronos models for forecasting 1024 time series with a context length of 512 observations and a prediction horizon of 64 steps. Chronos Bolt models are not only significantly faster but also more accurate than the origin…
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