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**训练框架**:LLaMA-Factory
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**训练方式**:全量微调 (Full Fine-tuning)
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PsyLLM 是一个基于 Qwen3-8B 的心理支持与共情对话模型,使用 [OpenR1-Psy](https://huggingface.co/datasets/GMLHUHE/OpenR1-Psy) 数据集全量微调,旨在提升模型的情绪识别、共情表达与安全提示能力。该模型仅供研究与教育用途,不应作为临床诊断或心理治疗工具。
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## 推理示例代码
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**PsyLLM** is a large language model designed for **psychological counseling and mental health dialogue generation**.
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It integrates **diagnostic reasoning** and **therapeutic reasoning**, following established frameworks such as **DSM/ICD**, and incorporates diverse therapeutic approaches including **CBT**, **ACT**, and **psychodynamic therapy**.
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The model is trained on the [**OpenR1-Psy**](https://huggingface.co/datasets/GMLHUHE/OpenR1-Psy) dataset ([arXiv:2505.15715](https://arxiv.org/abs/2505.15715)),
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featuring multi-turn counseling dialogues with explicit reasoning traces that support **clinically informed, empathetic, and interpretable** AI-assisted therapy.
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## 推理示例代码
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## 📄 Citation
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If you use this dataset, please cite:
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```bibtex
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@article{hu2025beyond,
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title={Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling},
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author={Hu, He and Zhou, Yucheng and Si, Juzheng and Wang, Qianning and Zhang, Hengheng and Ren, Fuji and Ma, Fei and Cui, Laizhong},
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journal={arXiv preprint arXiv:2505.15715},
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year={2025}
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}
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````
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## 🧩 License
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For **research and educational use only.**
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Please ensure compliance with **ethical and legal standards** in mental health AI research.
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