Downloadchronos-bolt-base is a zero-shot time series forecasting model developed by the AutoGluon team, built on the T5-efficient-base architecture with 205 million parameters. It is part of the Chronos-Bolt family, trained on nearly 100 billion time series observations. The model transforms time series data into sequence patches, allowing the encoder to process historical context while the decoder directly generates quantile forecasts for multiple future steps. It significantly improves inference speed and memory efficiency—being up to 600 times faster than Chronos-Large—while outperforming various deep learning and statistical forecasting models in accuracy, even in zero-shot settings. Chronos-Bolt is ideal for scalable forecasting tasks and is compatible with SageMaker and AutoGluon.
Features
- T5-based architecture with 205M parameters
- Direct multi-step quantile forecasting
- Up to 600x faster and more memory-efficient than Chronos-Large
- Zero-shot forecasting on unseen datasets
- Easily deployable via AutoGluon and Amazon SageMaker
- Supports covariates and fine-tuning for advanced use cases
Project Samples
