docs: add provenance / EU AI Act Art. 53 note

README.md

@@ -66,3 +66,11 @@ text = ocr.recognize("sign.png")
 - Paper: [Scene Text Recognition with Permuted Autoregressive Sequence Models](https://arxiv.org/abs/2207.06966) (ECCV 2022)
 - Code: [baudm/parseq](https://github.com/baudm/parseq) (Apache-2.0)
 - Converted with `models/convert-parseq-to-gguf.py` from CrispEmbed
+
+## Provenance and EU AI Act Art. 53 note
+
+- **Upstream model:** [baudm/parseq](https://github.com/baudm/parseq).
+- **Upstream licence:** `apache-2.0`. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
+- **What was done here:** format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
+- **Training data:** documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
+- **Provider status:** under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.