Perhaps I'm misunderstanding you, but you should be able to download the models at https://huggingface.co/collections/mistralai/timestral
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replySo is Mistral's model, right? Genuine question because I had been following your company - is there any use case where t0 is better than timestral?
replyAh thanks!
The Mistral model has a restrictive license, where you need a specific commercial agreement to use it if you make more than 20M$ revenue/month. Ours is Apache 2.
replyIf you compare the 2, it's not a strict "timestral is better" story - the winrates are tight - your probably should try both on your use-case. We have a 42% winrate vs Timestral on fevbench for instance.
Ofc, our main value is not just these models, but also 1) extra capabilities (like our model that can natively account for stockouts/censored data, and others coming soon), 2) our systems and products around the model, and 3) we're all laser focused on time-series/forecasting
interesting.
The github repo (https://github.com/mistralai/timestral ) says the license is Apache 2. Where does the 20M$ revenue limit comes from?
replyIt's in the licence of the weights, which you can see on Huggingface.
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