--- license: apache-2.0 language: - zh library_name: transformers pipeline_tag: text-generation tags: - Doctor_consultation - Taiwan - fine-tuning - medicine --- # 🔎 Taiwan-inquiry_7B_v2.0 " The model underwent refinement by utilizing the Taiwan-inquiry_7B_v1.0 model as a foundation and fine-tuning it with a dataset comprising 235 synthetic dialogues generated from [Breexe-8x7B-Instruct-v0_1](https://huggingface.co/MediaTek-Research/Breexe-8x7B-Instruct-v0_1). This dataset specifically concentrated on over 150 diseases, encompassing their symptoms and corresponding therapies. The objective of the training process was to augment the model's proficiency in comprehending a wide array of diseases and formulating appropriate responses. " ### Model Description - **Developed by:** [Joseph (Chen-Wei) Li](https://www.linkedin.com/in/joseph-li-3a453b231/), researcher assistant from National Taiwan University Hospital. - **Model type:** A 7B parameter GPT-like model fine-tuned on a combination of private and synthetic dialogue datasets. - **Language(s) (NLP):** Traditional Chinese (zh-tw) - **Finetuned from model :** [Taiwan-inquiry_7B_v1.0](https://huggingface.co/JosephLi0419/Taiwan-inquiry_7B_v1.0) ### Usage of the model The user can take on the role of a doctor, and the model can engage in conversation with you as if it were a patient. You can provide the model with a brief patient background in the system prompt, and the model will respond based on that prompt. **You can directly ask the certain disease about the symptoms and the possible therapies.** ### Demo ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65c07d1b2357c1bded7a92fa/w6Hl5PuPW02Zpd7lhzCWC.png) ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65c07d1b2357c1bded7a92fa/UrNZGh--B0m24b37e7I8t.png) ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65c07d1b2357c1bded7a92fa/GT1WCRCl4v79auBCkJyC7.png)