Chronos 2 Small is a time series forecasting foundation model hosted on Hugging Face. It belongs to the family of pretrained models for time series data and is made available under the Apache 2.0 license.
The model is distributed as part of the Chronos collection. It can be loaded through the chronos-forecasting Python library with a single line of code that specifies the repository identifier autogluon/chronos-2-small and an optional device mapping for GPU acceleration. Once loaded, the pipeline accepts a pandas DataFrame containing historical context, a desired prediction length, a list of quantile levels for probabilistic outputs, and an identifier column. An example provided with the model uses publicly hosted AirPassengers data to demonstrate generation of forecasts at the 0.1, 0.5, and 0.9 quantiles over a 36-step horizon.
The repository lists the model under the Time Series Forecasting tag and references an associated arXiv preprint numbered 2510.15821. It is published by the Autogluon organization and includes a Safetensors format for weights. The page also links to related Chronos datasets and notes that the model forms part of a broader set of t5-based time series forecasting foundation models.
Chronos 2 Small is a Data science & ML workbench product. It focuses on enabling accurate time series forecasting for predictive analytics and business intelligence. Chronos 2 Small is an open-source project aimed at data scientists. The project is open source (Open Source). The product ships for the web, the command line, and API.
Behind Chronos 2 Small is AutoGluon, and the product first shipped in 2025. Among its 5 catalogued features are time series forecasting, predictive analytics, and open weights.
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