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README.md

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 **Boldt** is a family of German language models developed by the **Chair of Machine Learning @ Humboldt-Universität zu Berlin**. This organization hosts our **models, datasets, and research artifacts** related to the Boldt project.
 
 Feel free to explore, download, and experiment with our latest releases! 🚀
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+## 🌟 The Boldt Model Family
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+Our models are trained on the German *Dense-Core* subset of FineWeb-2, utilizing a multi-epoch training recipe on high-quality data. 
+
+| Model | Parameters | Context Window | Description |
+| :--- | :--- | :--- | :--- |
+| [**Boldt-DC-350M**](https://huggingface.co/Boldt/Boldt-DC-350M) | 350M | 2048 | Ultra-lightweight base model for constrained environments. |
+| [**Boldt-DC-1B**](https://huggingface.co/Boldt/Boldt-DC-1B) | 1B | 2048 | Highly optimized 1B base model with top-tier German performance. |
+| [**Boldt-1B**](https://huggingface.co/Boldt/Boldt-1B) | 1B | 4096 | Extended context and vocabulary, augmented with 6B tokens of high-quality news. |
+| [**Boldt-1B-IT-Preview**](https://huggingface.co/Boldt/Boldt-1B-IT-Preview) | 1B | 4096 | Instruction-tuned preview model for chat and zero-shot tasks. |
+
+## 📖 Research & Artifacts
+*   **Paper:** [Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling (arXiv 2026)](https://arxiv.org/abs/2604.28075)
+*   **Evaluation Suite:** [Modernized German Benchmarks](https://huggingface.co/collections/Boldt/german-llm-benchmarks)