Mistral releases Timestral, a 209M forecasting model family
The title says the family outperforms Google’s TimesFM-3; the article body was not in the provided text.
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The title says the family outperforms Google’s TimesFM-3; the article body was not in the provided text.
Google Research released TimesFM-3, a 330M-parameter multivariate time series forecasting model that tops Gift-Eval, FEV-Bench, and Time benchmarks and is on Hugging Face.
Cadence pairs Google's 330M-parameter TimesFM-3 foundation model with adaptive arithmetic coding, gaining 13-28% on 2026 demand series over classical predictors.
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