Update README.md

README.md

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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_2.0
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+"The model was fine-tuned based on the Breeze-7B-Instruct-v1_0 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,Geminio-Pro and Breexe-8x7B-Instruct-v0_1. 
+The training process aimed to simulate verbal dialogues between doctors and patients in a hospital setting."
+ 
+### 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 :** [Breeze-7B-Instruct-v1_0 ](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-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. (see [Examples](http://www.tame.org.tw/webmag/news/newsFile/508/3.110%E5%B9%B4%E7%AC%AC%E4%B8%80%E6%AC%A1OSCE%20SP%E5%8A%87%E6%83%85%E6%91%98%E8%A6%81%E9%A1%8C%E5%9E%8B%E7%AF%84%E4%BE%8B(63%E4%BE%8B).pdf))
+- Directly asking the certain disease about the symptoms and the possible therapies.**（Warning: It's not medical advice!)**
+
 ---