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Moirai 1.1 R Small
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Moirai 1.1 R Small

Developed by Salesforce
Moirai-1.1-R is a time series forecasting foundation model released by Salesforce, excelling in low-frequency data (such as annual and quarterly data) with approximately 20% performance improvement over its predecessor.
Climate Model
Transformers
#Low-frequency time series forecasting#NMAE optimization#For academic research only
Downloads 14.61k
Release Time : 6/14/2024

Model Overview

Moirai-1.1-R is a pre-trained foundation model specialized in time series forecasting, particularly adept at handling low-frequency time series data, achieving significant performance improvements across 40 datasets from the Monash repository.

Model Features

Optimized for low-frequency data
Specially optimized for low-frequency time series such as annual and quarterly data
Performance improvement
Achieved approximately 20% performance improvement over its predecessor across 40 datasets from the Monash repository
Academic research support
Designed specifically for academic research purposes with strict ethical considerations

Model Capabilities

Time series forecasting
Low-frequency data processing
Multi-domain time series analysis

Use Cases

Economic forecasting
Annual economic indicator forecasting
Predicting annual economic indicators such as GDP and inflation
Excellent performance on low-frequency data
Business analysis
Quarterly sales forecasting
Predicting corporate quarterly sales performance
Approximately 20% accuracy improvement over the predecessor model
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