amazon/chronos-2

time-series-forecasting model by amazon

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Update Jun 5, 2026: ☁️ Deploy Chronos-2 on AWS with AutoGluon-Cloud. Real-time, serverless, or batch inference in 3 lines of code — pandas DataFrames in, forecasts out. Check out the new deployment guide. Chronos-2 is a 120M-parameter, encoder-only time series foundation model for zero-shot forecasting. It supports univariate, multivariate, and covariate-informed tasks within a single architecture. Inspired by the T5 encoder, Chronos-2 produces multi-step-ahead quantile forecasts and uses a group attention mechanism for efficient in-context learning across related series and covariates. Trained on a combination of real-world and large-scale synthetic datasets, it achieves state-of-the-art zero-shot accuracy among public models on fev-bench, GIFT-Eval, and Chronos Benchmark II. Chronos-2 is also highly efficient, delivering over 300 time series forecasts per second on a single A10G GPU and supporting both GPU and CPU inference. 🧩 Chronos & Chronos-Bolt do not natively support future covariates, but they can be combined with external covariate regressors…

amazon/chronos-2 on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Chronos-2
  2. Links
  3. Overview
  4. Running the model locally
  5. Production use on Amazon SageMaker
  6. ☁️ AutoGluon-Cloud
  7. 🚀 SageMaker JumpStart
  8. Training data
  9. Citation

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Model overview

amazon/chronos-2 is a time-series-forecasting model repository published by amazon on Hugging Face. The source reports the chronos-forecasting library.

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Model facts

Task
time-series-forecasting
Library
chronos-forecasting
Recent downloads (30 days)
10,704,878
Cumulative likes
562
Hugging Face trending score
5
Reported safetensors parameters
119,477,664
Architecture
Chronos2Model
License
apache-2.0
Access
Not gated by Hugging Face
Created
2025-10-30T14:54:39.000Z
Last modified
2026-06-05T11:55:42.000Z

Compatibility and lineage

Language coverage was not reported.

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:31.990Z. Daily imports are snapshots, not real-time monitoring.

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