Card: head weights are trained from scratch

README.md

@@ -44,7 +44,8 @@ call time. It is not a chatbot and it does not generate text.
 
 - **Encoder:** [`dicta-il/neodictabert-bilingual`](https://huggingface.co/dicta-il/neodictabert-bilingual) (NeoBERT, 28
   layers, Hebrew + English)
-- **Head:** Laya's `DecisionModel` head, with 2 transformer layers and a scorer over the option markers
+- **Head:** Laya's `DecisionModel` architecture (2 transformer layers and a scorer over the option markers), trained
+  from scratch. No weights come from Laya's published checkpoints; the only pretrained weights are the encoder's.
 - **Size:** 378M parameters, about 120–230 ms per call on an Apple M1 CPU
 - **Input:** up to 1,024 tokens of state, and up to 256 tokens of options
 - **Training:** Laya's RLCD objective (proper-scoring-rule rewards plus soft cross-entropy), with a temperature for each