| | --- |
| | license: cc-by-nc-4.0 |
| | pipeline_tag: time-series-forecasting |
| | tags: |
| | - time series |
| | - forecasting |
| | - pretrained models |
| | - foundation models |
| | - time series foundation models |
| | - time-series |
| | --- |
| | |
| | This is new updated version of Moirai-1.0-R (https://huggingface.co/Salesforce/moirai-1.0-R-base). |
| | The new Moirai model achieved significant improvements (~20%) for low-frequency cases like Yearly and Quarterly data in Normalised Mean Absolute Error (NMAE) for 40 datasets on the Monash repository. |
| |
|
| | ## Ethical Considerations |
| |
|
| | This release is for research purposes only in support of an academic paper. |
| | Our 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. |
