Mistral's new forecasting model has 209M parameters, and Mistral says it forecasts a day of 15-minute data in 140 ms on an 8-thread server CPU. According to the model card, Timestral-209M also tops GIFT-Eval, TIME and fev-bench, ahead of TimesFM-3 and Chronos-2. It's zero-shot, so you don't train anything: hand it a series and you get 21 quantiles... Weiterlesen: Mistral Timestral Forecasts in 140 ms on CPU. Here's How to Run It in…
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Mistral Timestral Forecasts in 140 ms on CPU. Here's How to Run It in Python
Mistral's new forecasting model has 209M parameters, and Mistral says it forecasts a day of 15-minute data in 140 ms on an 8-thread server CPU. According to…
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