Nori V1: 30M Param Open-Source Model Beats XGBoost Zero-Shot
rohanpaul_ai · x · 2026-08-19
Synthefy released Nori V1, an open-weight tabular foundation model under Apache 2.0, free for commercial use.
Key Features
- Zero-shot Prediction: Requires no feature engineering, training, or hyperparameter tuning. Pass test rows with labeled context to get predictions.
- High Efficiency: The 30M parameter version rivals Google's 1.6B parameter TabFM in Median R², being roughly 50x smaller.
- Explainability: Built-in interpretability.
- Hybrid Support: Handles structured tables and unstructured text together.
Benchmarks
On TabArena + OpenML-CTR23 + TALENT, Nori-30M 'thinking' mode outperforms Prior Labs TabPFNv3 and Google TabFM.
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