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LimiX-2

A 400M-parameter model for tables that does classification, regression and missing-value filling, under a non-commercial licence

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About LimiX-2

LimiX-2 is a tabular model built for structured data rather than text. Stable AI and Professor Peng Cui's group at Tsinghua University put it out on 16 September 2026. Its licence is the main thing a business needs to check, since it allows non-commercial use only and is not open source.

What LimiX-2 does

  • Classification: sorts table rows into classes across tables the model has never seen, without task-specific training.
  • Regression: predicts numeric values from table columns.
  • Missing-value imputation: fills gaps in tables from one pretrained checkpoint.
  • Causal attention: the authors say its feature attention can recover a direct causal skeleton, a claim about explanation rather than accuracy.

Clients

Data teams that work with tables and can use the model under a non-commercial licence.

Key facts

  • Size: a 400M-parameter checkpoint.
  • Licence: a non-commercial licence, stableai-limix-non-commercial-license-v1.0.
  • Code: inference code and the model checkpoint are available on GitHub and Hugging Face.

Profile written by TrustList from the business's own published information, Oct 2026.

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