MOMENT
A foundation model for numeric series: one engine is used for forecasting, anomaly detection, filling gaps and classification.
- Developer
- Auton Lab, Carnegie Mellon University, USA
- First release
- May 2024
- Latest release
- Oct 2024
- Sizes
- about 40M – 385M
- License
- Commercial use allowedMIT
- Running
- On your own serverAlso runs without a GPU
- Industries
- Manufacturing and logistics, Retail and marketplaces, Finance, Software development
What it does
- Forecasting demand and load
- Detecting anomalies in sensor readings and metrics
- Filling gaps in historical data
Where it is used
Hardware requirements
Versions
- MOMENT-1-base и MOMENT-1-small
- MOMENT-1-large
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can MOMENT be used in a commercial project?
Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does MOMENT need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does MOMENT support Russian?
Language does not matter for this model: it does not work with text.
Where can I download MOMENT and what does it cost?
The MOMENT weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Amazon forecasting models, among the most downloaded. Chronos-2 takes external factors into account: prices, promotions, weather.
DetailsForecastingTimesFMGoogle · USACommercial use with conditionsA ready-made Google forecasting model: forecasts any time series without training on your data.
DetailsForecastingGranite Time Series (TinyTimeMixers, PatchTST)IBM Research · USACommercial use allowedTiny forecasting models from IBM: they run on an ordinary CPU and sit next to the business system without a separate GPU server.
DetailsSource: huggingface.co/AutonLab/MOMENT-1-base. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


