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---
license: apache-2.0
language:
- zh
library_name: transformers
pipeline_tag: text-generation
tags:
- Doctor_consultation
- Taiwan
- fine-tuning
- medicine
---
# 🔎 Taiwan-inquiry_7B_v_1.1
<!-- Provide a quick summary of what the model is/does. -->
"
The model underwent refinement by utilizing the Taiwan-inquiry_7B_v1.0 model as a foundation and
fine-tuning it with a dataset comprising some 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
<!-- Provide a longer summary of what this model is. -->
- **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.
- **Directly asking the certain disease about the symptoms and the possible therapies.** （Warning: It's not medical advice!)
### Demo
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