Model release

Chronos-2

Chronos-2 is an open-weight model release in the Chronos (time series models) family from Amazon (Amazon Web Services)1 8 7, version Chronos-2 (amazon/chronos-2, 120M), released Oct 20, 2025. Its weights can be downloaded by the public2 under the Apache License 2.01 2.

Chronos-2 is a 120M-parameter, encoder-only time-series foundation model from Amazon, released on October 20, 2025. Inspired by the T5 encoder, it produces multi-step quantile forecasts and uses group attention to learn in context across related series and covariates, supporting univariate, multivariate, and covariate-informed forecasting with contexts up to 8,192 steps and horizons up to 1,024 steps.1 3

Model hub: Model card (Hugging Face) (external site: huggingface.co)
Repository: chronos-forecasting repository (external site: github.com)
Paper: Chronos-2: From Univariate to Universal Forecasting (arXiv 2510.15821) (external site: arxiv.org)
Release notes: Amazon Science blog post (external site: amazon.science)

On AI on Hugging Face: amazon/chronos-2

Last reviewedSep 29, 2026Entry updated Sep 29, 2026Documented release Oct 20, 2025

Availability and license

Overall availability

Public

Documented as available to the general public. Access conditions and license terms may still apply.2 1

Availability fact review: not separately recorded

Availability is separate from permission: read the license before using or redistributing.

Apache License 2.0 (external site: huggingface.co)1 2
Applies to: Weights · SPDX Apache-2.0 · on the rubric’s OSI-approved software-license list · fact-level rights review not recorded
Plain-language guide to the Apache License 2.0
Apache License 2.0 (chronos-forecasting code) (external site: raw.githubusercontent.com)4 3
Applies to: Code · SPDX Apache-2.0 · on the rubric’s OSI-approved software-license list · fact-level rights review not recorded
Plain-language guide to the Apache License 2.0

Component reuse rights

A readable or downloadable component is not automatically reusable. These indicators concern recorded license evidence, not system certification.

weights: Unknown — no complete fact-level rights review
code: Unknown — no complete fact-level rights review
data: Unknown — no complete fact-level rights review
documentation: Unknown — no complete fact-level rights review

No complete system-rights review is recorded for this release.

Model-disclosure tier

Computed from the checklist below using USASI rubric v0.2. An editorial category, not a certification.

Open-weight

The model parameters for this release can be downloaded by the public. License terms may still restrict use, redistribution, or commercial use.

How tiers are computed

Public materials checklist

Items for a model under USASI rubric v0.2. Unknown means unassessed or insufficient evidence.

Public materials checklist for Chronos-2
Item	Status	Notes and evidence
WeightsCan the general public download the model parameters for this release?	Public	Weights (safetensors) are published on Hugging Face without an access gate.2
Inference codeIs code for running the model published?	Public	The Apache-2.0 chronos-forecasting package (version 2.0 or later) provides the Chronos2Pipeline used in the card's examples.1 3 6
Training codeIs the code used to train the model published?	Unknown	The repository's training scripts are documented for the original Chronos models of March 2024; training code for Chronos-2 was not found.5
Training-data informationDoes the information cover provenance, scope, acquisition, selection, labeling, processing, and where data or alternatives can be obtained? Access alone does not establish completeness.	Unknown	Not assessed.
Training-data accessCan the training data be obtained? This is independent of information completeness and reuse rights; original unshareable data need not be downloadable.	Unknown	Not assessed.
Complete training pipelineIs the complete base-training and preprocessing pipeline published, including configuration? Fine-tuning code or an inference SDK alone is insufficient.	Unknown	Not assessed.
Legacy data assessment (v0.1)Historical assessment combining download access and disclosure. Preserved for traceability; excluded from the v0.2 tier calculation. See the new separate assessments above.	Partial	The card lists subsets of the public Chronos Datasets and GIFT-Eval Pretrain collections plus synthetic univariate and multivariate data; the report describes how the synthetic data was generated, but the synthetic data itself is not documented as released.1 7
Training recipeAre the training configuration and procedure documented in enough detail to follow?	Partial	The technical report describes the architecture, training, and training data at a summary level.7
Evaluation materialsPublic = evaluation code or prompts that let others re-run the evaluations are published. Partial = results only.	Partial	The report and card give results on fev-bench, GIFT-Eval, and Chronos Benchmark II; the repository announces the separately released fev benchmarking package, but instructions to re-run all reported Chronos-2 evaluations were not verified.7 1 3

What it is useful for

Amazon describes Chronos-2 for zero-shot forecasting without task-specific training, with local inference through the chronos-forecasting package and production deployment through Amazon SageMaker (AutoGluon-Cloud or SageMaker JumpStart); the card states it supports both GPU and CPU inference.1 8

Run and use notes

Documented facts only. No hardware or performance claims are made without a cited source and stated assumptions.

The card documents local installation with pip ("chronos-forecasting>=2.0") and a pandas-based prediction API, and deployment to SageMaker with AutoGluon-Cloud or SageMaker JumpStart.1

Organization context

Amazon (AWS)

Provenance and derivatives

Trained by Amazon Web Services on subsets of the Chronos Datasets and GIFT-Eval Pretrain collections and on synthetic data. The architecture is described as inspired by the T5 encoder; no pretrained base model is named.1 7

Other releases in the Chronos (time series models) family

No other releases in this family have been assessed.

Chronos (time series models) family overview

What this catalog does not know

Unknown means the sources reviewed for this record do not document it. It is not evidence that something does not exist.

Training code: unknown.
Training-data information: unknown.
Training-data access: unknown.
Complete training pipeline: unknown.

Have a primary source? How to report a correction.

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: Documented U.S. control

The model is published by Amazon on Hugging Face and GitHub, and the Chronos-2 report and Amazon's science blog attribute it to Amazon Web Services, a segment of Amazon.com, Inc. Amazon.com, Inc. has its principal executive offices in Seattle, Washington, per its fiscal 2025 Form 10-K.1 7 8 9

Assessed Sep 29, 2026

Sources

1.
amazon/chronos-2 model card (external site: huggingface.co)
Amazon (Hugging Face) · Model card · accessed Sep 29, 2026
2.
Hugging Face model metadata for amazon/chronos-2 (external site: huggingface.co)
Hugging Face · Model card · accessed Sep 29, 2026
3.
amazon-science/chronos-forecasting README (external site: raw.githubusercontent.com)
Amazon Science (GitHub) · Repository · accessed Sep 29, 2026
4.
amazon-science/chronos-forecasting LICENSE (Apache License 2.0) (external site: raw.githubusercontent.com)
Amazon Science (GitHub) · License · accessed Sep 29, 2026
5.
chronos-forecasting scripts directory (training and evaluation) (external site: github.com)
Amazon Science (GitHub) · Repository · accessed Sep 29, 2026
6.
chronos-forecasting on PyPI (JSON metadata) (external site: pypi.org)
Python Package Index · Release notes · accessed Sep 29, 2026
7.
Chronos-2: From Univariate to Universal Forecasting (arXiv 2510.15821, HTML) (external site: arxiv.org)
arXiv · Paper · published Oct 17, 2025 · accessed Sep 29, 2026
8.
Introducing Chronos-2: From univariate to universal forecasting (external site: amazon.science)
Amazon Science · Announcement · published Oct 20, 2025 · accessed Sep 29, 2026
9.
Amazon.com, Inc. Form 10-K for the fiscal year ended December 31, 2025 (external site: sec.gov)
Amazon.com, Inc. (via U.S. Securities and Exchange Commission EDGAR) · Filing · accessed Sep 29, 2026

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APA style

USASI. (2026, September 29). Chronos-2. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/chronos-2/

BibTeX

@misc{usasi_chronos_2,
  author = {{USASI}},
  title = {Chronos-2},
  year = {2026},
  month = sep,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/chronos-2/}},
  note = {United States of America Superintelligence. Last updated 2026-09-29}
}

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