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What is Timestral?

Timestral is a comprehensive suite of time-series foundation models accompanied by a Python inference toolkit, specifically designed to enable the creation of multivariate probabilistic forecasts derived from historical data sequences. It offers four distinct model sizes, including 5M, 28M, 123M, and 209M parameters, each capable of managing past-only, known-future, and categorical covariates, while providing quantile forecasts that can accommodate context windows of up to 32,768 time steps. Users can conveniently load pretrained weights from the Hugging Face Hub or from their local files, allowing for inference on both CPU and GPU setups. These forecasts can be integrated effortlessly into a wide array of applications, such as monitoring systems, capacity planning, energy management, supply chain logistics, financial risk analysis, and maintenance operations. Additionally, Timestral boasts zero-shot forecasting capabilities and can be customized to specific domain data using the Mistral Forge, further enhancing its versatility. This toolkit primarily targets data scientists, machine learning engineers, and collaborative teams eager to devise effective forecasting solutions; its repository code is available under the Apache 2.0 license, while the model weights are managed by a distinct Modified MIT license. With its robust and comprehensive features, Timestral is set to considerably improve the precision and effectiveness of predictive analytics across various sectors, ensuring that users can make informed decisions based on reliable forecasts. As industries increasingly rely on data-driven insights, Timestral stands out as an essential resource for achieving superior forecasting outcomes.

What is QVAC?

The QVAC SDK is a versatile toolkit tailored for developers interested in embedding on-device AI inference within applications built using JavaScript/TypeScript or Python. It offers a cohesive API that simplifies the execution of a variety of supported language, vision, and speech models on both mobile and desktop systems, featuring capabilities such as model discovery, downloads, inference APIs, and optional connections to external providers. By utilizing this toolkit, developers can implement AI functionalities that work offline, allowing for prompt handling and processing to take place directly on the device for local inference. In addition, QVAC includes an OpenAI-compatible server and plugins that effortlessly connect local models with development tools. Targeted primarily at creators of AI-driven applications, the SDK's documentation thoroughly explains the setup process, model selection, and task management related to text generation, image processing, and audio handling, with functionalities that may differ based on the selected model and platform. Moreover, the QVAC SDK is available as free, open-source software under the Apache 2.0 license, and utilizing local inference does not require a hosted QVAC account, further enhancing its attractiveness for developers. This level of flexibility and simplicity positions the QVAC SDK as a powerful solution for integrating advanced AI features into contemporary applications, enabling developers to explore innovative possibilities in their projects. Additionally, the supportive community surrounding the SDK provides a wealth of resources for troubleshooting and inspiration, ensuring developers have the assistance they need throughout their integration journey.

Media

No images available

Media

No images available

Integrations Supported

Mistral Forge

Integrations Supported

Hugging Face
OpenClaw
OpenCode

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

$0
Free and open source under Apache 2.0. Local inference has no subscription, API-key, or per-token charge.
Free Version

Supported Platforms

On-Prem

Supported Platforms

Android
iPhone
iPad
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

github.com/mistralai/timestral

Company Facts

Organization Name

Tether Data

Company Location

El Salvador

Company Website

qvac.tether.io/products/sdk

Categories and Features

AI Models

Not specified

Categories and Features

AI SDKs

Not specified

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