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--- |
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license: apache-2.0 |
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language: |
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- zh |
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library_name: transformers |
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pipeline_tag: text-generation |
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tags: |
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- Doctor_consultation |
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- Taiwan |
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- fine-tuning |
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- medicine |
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--- |
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# 🔎 Taiwan-inquiry_7B_v2.0 |
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<!-- Provide a quick summary of what the model is/does. --> |
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" |
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The model underwent refinement by utilizing the Taiwan-inquiry_7B_v1.0 model as a foundation and |
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fine-tuning it with a dataset comprising 235 synthetic dialogues generated from [Breexe-8x7B-Instruct-v0_1](https://huggingface.co/MediaTek-Research/Breexe-8x7B-Instruct-v0_1). |
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This dataset specifically concentrated on over 150 diseases, encompassing their symptoms and corresponding therapies. |
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The objective of the training process was to augment the model's proficiency in comprehending a wide array of diseases and formulating appropriate responses. " |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** [Joseph (Chen-Wei) Li](https://www.linkedin.com/in/joseph-li-3a453b231/), researcher assistant from National Taiwan University Hospital. |
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- **Model type:** A 7B parameter GPT-like model fine-tuned on a combination of private and synthetic dialogue datasets. |
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- **Language(s) (NLP):** Traditional Chinese (zh-tw) |
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- **Finetuned from model :** [Taiwan-inquiry_7B_v1.0](https://huggingface.co/JosephLi0419/Taiwan-inquiry_7B_v1.0) |
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### Usage of the model |
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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. |
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You can provide the model with a brief patient background in the system prompt, and the model will respond based on that prompt. |
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**You can directly ask the certain disease about the symptoms and the possible therapies.** |
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### Demo |
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