Moirai is a masked encoder-based time series foundation model developed by Salesforce AI Research. The small variant is pretrained on a large collection of time series data (LOTSA) and can be used for zero-shot and few-shot forecasting across many domains. It is distributed on Hugging Face and integrates with the Transformers library.
Moirai 1.0 R Small is a Data science & ML workbench product. It focuses on performing accurate time series forecasting across diverse domains without training separate models for each dataset. It is built as an open-source project for data scientists and forecasters. Moirai 1.0 R Small is open source under the Apache-2.0 license. Moirai 1.0 R Small is available on the web, the command line, and API.
Salesforce builds and maintains Moirai 1.0 R Small, and the product first shipped in 2024. Development happens publicly on GitHub with 1.6k stars and 1 commits in the last 90 days. Key capabilities include Time Series Forecasting, Masked Encoder, and Universal Model.
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