metadata
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
" 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. 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.
- Directly asking the certain disease about the symptoms and the possible therapies. (Warning: It's not medical advice!)