TimestralMistral AI
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Zyphra ZonosZyphra
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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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About
Zyphra is excited to announce the release of Zonos-v0.1 beta, featuring two expressive and real-time text-to-speech models with high-fidelity voice cloning. We are releasing our 1.6B transformer and 1.6B hybrid under an Apache 2.0 license. It is difficult to quantitatively measure quality in the audio domain; we find that Zonos’ generation quality matches or exceeds that of leading proprietary TTS model providers. Further, we believe that openly releasing models of this caliber will significantly advance TTS research. Zonos model weights are available on Huggingface, and sample inference code for the models is available on our GitHub. You can also access Zonos through our model playground and API with simple and competitive flat-rate pricing. We have found that quantitative evaluations struggle to measure the quality of outputs in the audio domain, so for demonstration, we present a number of samples of Zonos vs both proprietary models.
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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On-Premises
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iPhone
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iPad
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Android
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Chromebook
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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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Audience
Data scientists, machine-learning engineers, forecasting practitioners, and teams developing time-series forecasting systems.
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Audience
Developers and researchers wanting a solution offering text-to-speech models capable of high-fidelity voice cloning and expressive speech generation
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Support
Phone Support
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
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API
Offers API
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API
Offers API
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Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
$0.02 per minute
Free Version
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Free Trial
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Reviews/
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Training
Documentation
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Webinars
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Live Online
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In Person
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Training
Documentation
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Webinars
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Live Online
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Company InformationMistral AI
Founded: 2023
France
github.com/mistralai/timestral
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Company InformationZyphra
United States
www.zyphra.com/post/beta-release-of-zonos-v0-1
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Integrations
GitHub
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Hugging Face
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Mistral Forge
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Integrations
GitHub
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Hugging Face
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Mistral Forge
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