TimestralMistral AI
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Related Products
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About
DataForge is the only framework to cover all three major data components of data development By combining unique elements within each component with an overall approach, DataForge creates the best foundation for any data design. DataForge Cloud (DFC) is a fully-featured data platform management service built around DataForge It translates the framework into automated developer workflows and provides tools to execute processing on platforms like Databricks and Snowflake. Through a combination of code structure and an event-based workflow engine, DFC fully automates the defining of required processing steps and dependency management. With standardized processing steps comes predictable infrastructure sizing. DFC leverages dynamic allocation and the best cluster/warehouse option at every step to ensure the best performance per cost possible.
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About
Timestral is a family of time-series foundation models and a Python inference package for generating multivariate probabilistic forecasts from historical sequences. The four model sizes (5M, 28M, 123M and 209M parameters) support past-only, known-future and categorical covariates, return quantile forecasts, and accept context windows up to 32,768 time steps. Developers can load pretrained weights from the Hugging Face Hub or from local files and run inference on CPU or GPU, then incorporate forecasts into monitoring, capacity-planning, energy, supply-chain, financial-risk, or maintenance workflows. Timestral supports zero-shot forecasting and can be adapted to domain data through Mistral Forge. The package is intended for data scientists, machine-learning engineers, and teams building forecasting systems; repository code is Apache 2.0, while model weights use a separate Modified MIT license.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Organizations wanting an automated code framework tool for data development
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Audience
Data scientists, machine-learning engineers, forecasting practitioners, and teams developing time-series forecasting systems.
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
$2.50 per process
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationDataForge
Founded: 2023
United State
www.dataforgelabs.com
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Company InformationMistral AI
Founded: 2023
France
github.com/mistralai/timestral
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Categories |
Categories |
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Integrations
Databricks
Supported
Mistral Forge
Not Supported
Snowflake
Supported
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Integrations
Databricks
Not Supported
Mistral Forge
Supported
Snowflake
Not Supported
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