kvignesh1420/relational-transformer-plurel

Relational Transformer — PluRel Checkpoints

Relational Transformer (RT) model checkpoints pretrained on synthetic relational databases generated by PluRel.

Relational Transformer is a foundation model architecture for relational data that enables zero-shot transfer across heterogeneous schemas and tasks. It was introduced in:

Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
Rishabh Ranjan, Valter Hudovernik, Mark Znidar, Charilaos Kanatsoulis, Roshan Upendra, Mahmoud Mohammadi, Joe Meyer, Tom Palczewski, Carlos Guestrin, Jure Leskovec — arXiv:2510.06377 (ICLR 2026)

The checkpoints provided in this repository were trained using the methodology described in:

PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
Kothapalli, Ranjan, Hudovernik, Dwivedi, Hoffart, Guestrin, Leskovec — arXiv:2602.04029 (2026)

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Model Architecture

The Relational Transformer operates on multi-tabular relational databases, treating rows across linked tables as a sequence via BFS-ordered context sampling. It utilizes a Relational Attention mechanism over columns, rows, and primary-foreign key links.

Hyperparameter	Value
Transformer blocks	12
Model dimension (d_model)	256
Attention heads	8
FFN dimension (d_ff)	1,024
Context length	1,024 tokens
Text encoder	all-MiniLM-L12-v2 (d_text = 384)
Max BFS width	128

The architecture and training loop build on the Relational Transformer codebase.

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Download

huggingface-cli download kvignesh1420/relational-transformer-plurel \
    --repo-type model \
    --local-dir ~/scratch/rt_hf_ckpts