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Moirai 1.1 R Large
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Moirai 1.1 R Large

Developed by Salesforce
Moirai-1.1-R is a time series forecasting foundation model launched by Salesforce, with significant performance improvements for low-frequency data prediction.
Climate Model
Transformers
#Low-frequency time series forecasting#20% NMAE improvement#For academic research
Downloads 14.11k
Release Time : 6/14/2024

Model Overview

Moirai-1.1-R is a pretrained foundation model in the field of time series forecasting, focusing on prediction tasks for low-frequency data such as annual and quarterly frequencies, and performs excellently on 40 datasets from the Monash repository.

Model Features

Optimized for low-frequency data prediction
Significant improvement in prediction performance for low-frequency data such as annual and quarterly frequencies, with approximately 20% improvement in NMAE metrics.
Multi-dataset adaptation
The model's generalization capability has been validated on 40 different datasets from the Monash repository.
Designed for academic research
Specially designed to support academic research, requiring ethical risk assessment before deployment.

Model Capabilities

Time series forecasting
Low-frequency data analysis
Multi-domain data adaptation

Use Cases

Economic forecasting
GDP growth prediction
Predict annual or quarterly GDP growth trends
Business analysis
Sales trend prediction
Predict quarterly sales data changes
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