| --- |
| 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. |
