Moirai 2.0 is a decoder-only universal time series forecasting transformer model pre-trained on:
We make significant improvements over the first version of Moirai (please refer to the
paper for previous version):
To perform inference with Moirai 2.0, install the uni2ts library from our
GitHub repo.
1git clone https://github.com/SalesforceAIResearch/uni2ts.git
2cd uni2ts
1virtualenv venv
2. venv/bin/activate
A simple notebook to get started:
github_notebook_linkIf you're using any Moirai model or Uni2TS in your research or applications, please cite it using this BibTeX:
1@article{liu2025moirai,
2 title={Moirai 2.0: When less is more for time series forecasting},
3 author={Liu, Chenghao and Aksu, Taha and Liu, Juncheng and Liu, Xu and Yan, Hanshu and Pham, Quang and Savarese, Silvio and Sahoo, Doyen and Xiong, Caiming and Li, Junnan},
4 journal={arXiv preprint arXiv:2511.11698},
5 year={2025}
6}
This release is for research purposes only. The proprietary version of this model is used by Salesforce for business purposes. Our research models, datasets, and code are not specifically designed or evaluated for all downstream purposes. We strongly recommend users evaluate and address potential concerns related to accuracy, safety, and fairness before deploying this model. We encourage users to consider the common limitations of AI, comply with applicable laws, and leverage best practices when selecting use cases, particularly for high-risk scenarios where errors or misuse could significantly impact people's lives, rights, or safety. For further guidance on use cases, refer to our AUP and AI AUP.
