«The model was fine-tuned based on the Breeze-7B-Instruct-v01 model using a dataset that includes 614 authentic dialogues from the National Cheng Kung University Hospital. Additionally, 336 synthetic dialogues were included in the training set, carefully crafted to encompass themes drawn from sample questions of the OSCE (臨床技能測驗) sample questions in Taiwan. These synthetic dialogues were generated using GPT-3.5, Gemini-Pro and Breexe-8x7B-Instruct-v01. The training process was geared towards simulating verbal exchanges between doctors and patients within a hospital environment. » ************************* Updates ********************** 2024/03/23 🎉 Released Taiwan-inquiry7Bv2.0.gguf — 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 : Breeze-7B-Instruct-v0_1 — 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…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: ChenWeiLi
Теги: mistral, Doctor_consultation, Taiwan, fine-tuning, medicine, conversational, zh, text-generation-inference
Лайков: 3 | Загрузок: 31
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
