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Nums AI has launched Causilo, a tabular foundation model that achieves the highest Elo score on TabArena among single models without using target-specific training data. The architecture relies on in-context learning and synthetic pretraining to enable classification and regression tasks via a standard scikit-learn interface, distinguishing it from general-purpose LLMs by focusing specifically on structured data patterns. While open-sourced for research under Apache-2.0, commercial deployment requires a separate license, marking a significant step toward specialized foundation models for tabular analytics.
Nums AI Releases Causilo: A Tabular Foundation Model That Tops TabArena Among Single Models

Nums AI has released Causilo, a pretrained tabular foundation model for classification and regression with a scikit-learn interface. It posts the top TabArena Elo among single models, ahead of Google's TabFM and LG's EXAONE Tabular. The code is Apache-2.0, while weights are licensed for non-commercial research. The post Nums AI Releases Causilo: A Tabular Foundation Model That Tops TabArena Among Single Models appeared first on MarkTechPost.
Nums AI has released Causilo, a pretrained tabular foundation model for classification and regression. Causilo comes with a scikit-learn interface, Apache-2.0 code and pretrained weights on Hugging Face. On TabArena, it has the highest Elo among single models for both classification and regression. Is it deployable? Yes, for research and evaluation today, on CUDA or CPU. Commercial, production and hosted API use need a separate license from Nums AI. Causilo…
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