Remove size-specific description from preamble
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README.md
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Toto (**T**ime Series **O**ptimized **T**ransformer for [**O**bservability](https://www.datadoghq.com/knowledge-center/observability/)) is a family of time series foundation models for multivariate forecasting developed by [Datadog](https://www.datadoghq.com/). **Toto 2.0** is the current generation, featuring u-μP-scaled transformers ranging from 4M to 2.5B parameters.
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**Toto-2.0-4m** is the 4M-parameter variant — the smallest in the family, suitable for low-latency or resource-constrained settings.
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## ✨ Key Features
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Toto (**T**ime Series **O**ptimized **T**ransformer for [**O**bservability](https://www.datadoghq.com/knowledge-center/observability/)) is a family of time series foundation models for multivariate forecasting developed by [Datadog](https://www.datadoghq.com/). **Toto 2.0** is the current generation, featuring u-μP-scaled transformers ranging from 4M to 2.5B parameters.
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## ✨ Key Features
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