|
--- |
|
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 generated from Taiwan-LLM-7B-v2.1-chat model, using a dataset comprising 614 real dialogues from National Cheng Kung University Hospital and an additional 101 synthetic dialogues, the topics referenced from OSCE (臨床技能測驗) sample questions in Taiwan,generated by GPT-3.5 and Geminio-Pro." |
|
|
|
## Model Details |
|
|
|
### 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. |
|
|
|
|
|
### Example |
|
|
|
#### prompt: 一名55歲男性抱怨腰痛和下肢無力，請進行脊椎和神經系統檢查。 |
|
|
|
 |
|
|
|
 |
|
|
|
 |
|
|
