PredictLM v11.0 + Mini ship-bundle

README.md

@@ -50,7 +50,7 @@ model-index:
 
 A 26.2M-parameter transformer-based **tabular foundation model** that uses **in-context learning** to solve regression and classification **in a single forward pass**. Pass a small training table as the context, and the model predicts on new rows — no fine-tuning, no model selection, no hyperparameter sweep.
 
-> Looking for a more compact variant? **[PredictLM Mini (13.5M)](https://huggingface.co/zerooneresearch/predictlm-mini-13m)** is distilled from this Base model via warm-start knowledge transfer. It is **statistically tied with Base on classification accuracy** (paired-bootstrap delta -0.001, 95% CI crosses zero) and ~4 pp lower R² on regression at half the parameter count. Trainable end-to-end on a single Tesla T4 in 3.3 hours for ~$1.30.
+> Looking for a more compact variant? **[PredictLM Mini (13.5M)](https://huggingface.co/zerooneresearch/predictlm-mini-13m)** is distilled from this Base model via warm-start knowledge transfer. It is **statistically tied with Base on classification accuracy** (paired-bootstrap delta -0.001, 95% CI crosses zero) and ~4 pp lower R² on regression at half the parameter count.
 
 ## Getting started — the published 0.751 cls / 0.609 reg recipe, by default