File size: 2,125 Bytes
b0b86c3 ce510b5 b0b86c3 4c32327 e8d1fef 34bd21c 882e0ed 34bd21c 5b3e3f0 95dbc25 b0b86c3 810fabb 6d5123c 670311a 41287a7 670311a e31e2e2 39e0590 6f5dc96 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
---
license: apache-2.0
language:
- zh
library_name: transformers
pipeline_tag: text-generation
tags:
- 'Doctor_consultation '
- Taiwan
- fine-tuning
---
# 🔎 Taiwan-inquiry_7B_v1.0
<!-- Provide a quick summary of what the model is/does. -->
"The model was fine-tuned based on the Taiwan-LLM-7B-v2.1-chat model using a dataset that includes 614 authentic dialogues from the National Cheng Kung University Hospital. Additionally, 101 synthetic dialogues were included in the training set. The dialogue content covers topics referenced from OSCE (臨床技能測驗) sample questions in Taiwan. These synthetic dialogues were generated using GPT-3.5 and Gemini-Pro. The training process aimed to enhance the model's performance in understanding and generating responses related to clinical skills assessment scenarios in a medical context."
### 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 :** [yentinglin/Taiwan-LLM-7B-v2.1-chat](https://huggingface.co/yentinglin/Taiwan-LLM-7B-v2.1-chat)
### 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.
### DEMO
- **prompt:** 一名50歲先生抱怨視線模糊和眼睛乾澀，請進行眼科檢查。
|