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. 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, 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
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
