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…
chronos-2 is an open-weight model for time series forecasting from Autogluon, released under Apache License 2.0. It has 119M parameters. At 16-bit it needs about 0.3 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 6.6M downloads a month.
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.
Parameters119M
Context—
Weights477.9 MB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads6.6M
Runs On
What it takes to serve chronos-2 (119M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 0.2 GB | 0.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.1 GB | 0.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.1 GB | 0.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 16, 2026.
chronos-2 on every accelerator the SAVRN Index prices, at every precision
SAVRN's Notes on chronos-2
Forecasting, not text: Chronos-2 takes one series or several related ones with covariates and returns multi-step quantile forecasts, zero-shot. At 119M parameters it needs 0.3 GB at 16-bit — 0.2 GB of it weights — so the one 192 GB MI300X at $1.85 an hour we list answers the wrong question. It rides beside whatever else the accelerator serves; 4-bit saves two tenths of a gigabyte.
Apache 2.0 covers commercial use with the patent grant intact, which matters once forecasts feed something you sell. It was trained on autogluon/chronos_datasets and Salesforce/GiftEvalPretrain, so keep your evaluation series out of both. The card's June 5, 2026 update pushes AWS deployment through AutoGluon-Cloud, pandas DataFrames in and forecasts out in three lines. The design is set out in arXiv:2403.07815 and arXiv:2510.15821.
Model Card
By Autogluon, published under apache-2.0, revision 60088152a34e.
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 thenew 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.
Links
- Deploy on SageMaker with AutoGluon-Cloud (recommended)
- Deploy on SageMaker with JumpStart
- Technical report
- GitHub
- Example notebook
- Amazon Science Blog
Overview
Configuration
- Architecture
- Chronos2Model
- Vocabulary size
- 2
- RoPE base
- 10000
- Stored precision
- float32
- Model type
- t5
Identity and Version
- Repository
- autogluon/chronos-2
- Publisher
- Autogluon
- Task
- Time series forecasting
- Modality
- Time series
- Library
- chronos-forecasting
- Parameters
- 119M parameters
- Languages
- Not stated by the source
- Revision
- 60088152a34e242427b44c3100014473a0157d53
- First published
- 2025-10-06
- Last updated
- 2026-06-05
Files and Weights
4 files, 477.9 MB in total. The weights are 1 file totalling 477.9 MB in safetensors.
Weights1 file · 477.9 MB
Configuration1 file · 1.1 KB
Documentation1 file · 7.8 KB
Repository1 file · 1.5 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 477.9 MB | ddcda3c7508b |
| config.json | Configuration | 1.1 KB | — |
| README.md | Documentation | 7.8 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
- Download size
- 477.9 MB
Download from Autogluon
Released by Autogluon through its official repository on Hugging Face. Read the license.
Built From
- Described by arXiv:2403.07815
- Described by arXiv:2510.15821
- Trained on (disclosed) Salesforce/GiftEvalPretrain
- Trained on (disclosed) autogluon/chronos_datasets
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 477.9 MB |
| 16-bit | 0.2 GB |
| 8-bit | 0.1 GB |
| 4-bit | 0.1 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Compare chronos-2
Questions About chronos-2
How much GPU memory does chronos-2 need?
About 0.3 GB at 16-bit and 0.1 GB at 4-bit: the weights (119M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run chronos-2 on?
At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use chronos-2 commercially?
Yes. chronos-2 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
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