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README.md

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-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Library: [More Information Needed]
-- Docs: [More Information Needed]
+# FineWeb2-RoEdu-Classifier
+
+**FineWeb2-RoEdu-Classifier** is a lightweight quality classifier for the Romanian language. It is designed to distinguish high-quality educational content from generic web text. The model was trained on data annotated by [Gemma3 12B](https://huggingface.co/google/gemma-3-12b-it). More details can be found [here](https://arxiv.org/abs/2511.01090).
+
+## Key Features
+
+* **Educational Quality Scoring**: The model assigns a scalar score (typically 0-5) to text, reflecting its educational value and coherence.
+* **Topic, Format and Educational Level**: The model also predicts additional signals that could be used for diversity filtering.
+* **Distilled Knowledge**: It is trained on Romanian web samples annotated by **Gemma3 12B**, effectively distilling the frontier model's judgment into a more efficient architecture.
+* **Proven Effectiveness**: We showed that used data curated by this classifier improved several metrics (ARC, HellaSwag).
+
+## Usage
+
+You can find a demo [here](https://github.com/VladNegoita/FineWeb2-RoEdu-ClassifierDemo/).