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@@ -25,9 +25,24 @@ pipeline_tag: sentence-similarity
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  [![Paper](https://img.shields.io/badge/arXiv-XXXX.XXXXX-b31b1b.svg)](https://arxiv.org/abs/XXXX.XXXXX)
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  [![GitHub](https://img.shields.io/badge/GitHub-CardioEmbed-blue)](https://github.com/ricyoung/CardioEmbed)
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  [![License](https://img.shields.io/badge/License-Apache%202.0-green.svg)](https://opensource.org/licenses/Apache-2.0)
 
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  </div>
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  ## Model Description
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  **CardioEmbed** is a domain-specialized embedding model fine-tuned on comprehensive cardiology textbooks for clinical applications. Built on [Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B) using LoRA adapters, this model achieves **state-of-the-art performance** on biomedical retrieval tasks while maintaining efficiency through 8-bit quantization.
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  - 📄 **Paper**: [arXiv:XXXX.XXXXX](https://arxiv.org/abs/XXXX.XXXXX)
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  - 💻 **Code**: [github.com/ricyoung/CardioEmbed](https://github.com/ricyoung/CardioEmbed)
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  - 🤗 **Model**: [huggingface.co/richardyoung/CardioEmbed](https://huggingface.co/richardyoung/CardioEmbed)
 
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  For questions or issues, please open an issue on [GitHub](https://github.com/ricyoung/CardioEmbed/issues).
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  **Built with ❤️ for advancing medical AI research**
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  </div>
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  ### Framework Versions
 
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  [![Paper](https://img.shields.io/badge/arXiv-XXXX.XXXXX-b31b1b.svg)](https://arxiv.org/abs/XXXX.XXXXX)
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  [![GitHub](https://img.shields.io/badge/GitHub-CardioEmbed-blue)](https://github.com/ricyoung/CardioEmbed)
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  [![License](https://img.shields.io/badge/License-Apache%202.0-green.svg)](https://opensource.org/licenses/Apache-2.0)
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+ [![Website](https://img.shields.io/badge/Website-DeepNeuro.AI-orange)](https://deepneuro.ai)
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  </div>
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+ ---
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+ <div align="center">
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+ **Trained with ❤️ by [richardyoung](https://huggingface.co/richardyoung) | [DeepNeuro.AI](https://deepneuro.ai)**
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+ *If you find this useful, please ⭐ star the [repo](https://github.com/ricyoung/CardioEmbed) and share with others!*
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+ **Created:** November 2025 | **Format:** LoRA Adapter (8-bit quantized base)
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+ </div>
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+ ---
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  ## Model Description
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  **CardioEmbed** is a domain-specialized embedding model fine-tuned on comprehensive cardiology textbooks for clinical applications. Built on [Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B) using LoRA adapters, this model achieves **state-of-the-art performance** on biomedical retrieval tasks while maintaining efficiency through 8-bit quantization.
 
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  - 📄 **Paper**: [arXiv:XXXX.XXXXX](https://arxiv.org/abs/XXXX.XXXXX)
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  - 💻 **Code**: [github.com/ricyoung/CardioEmbed](https://github.com/ricyoung/CardioEmbed)
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  - 🤗 **Model**: [huggingface.co/richardyoung/CardioEmbed](https://huggingface.co/richardyoung/CardioEmbed)
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+ - 🌐 **Website**: [DeepNeuro.AI](https://deepneuro.ai)
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  For questions or issues, please open an issue on [GitHub](https://github.com/ricyoung/CardioEmbed/issues).
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  **Built with ❤️ for advancing medical AI research**
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+ *Research by [Richard J. Young](https://huggingface.co/richardyoung) & Alice M. Matthews | [DeepNeuro.AI](https://deepneuro.ai)*
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  </div>
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  ### Framework Versions