ChenWeiLi
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Taiwan-inquiry_7B_v2.0

Text Generation

Doctor_consultation

text-generation-inference

Inference Endpoints

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ChenWeiLi commited on Mar 15

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 The model underwent refinement by utilizing the Taiwan-inquiry_7B_v1.0 model as a foundation and
-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).
 This dataset specifically concentrated on over 150 diseases, encompassing their symptoms and corresponding therapies.
 The objective of the training process was to augment the model's proficiency in comprehending a wide array of diseases and formulating appropriate responses. "

 "
 The model underwent refinement by utilizing the Taiwan-inquiry_7B_v1.0 model as a foundation and
+fine-tuning it with a dataset comprising some synthetic dialogues generated from [Breexe-8x7B-Instruct-v0_1](https://huggingface.co/MediaTek-Research/Breexe-8x7B-Instruct-v0_1).
 This dataset specifically concentrated on over 150 diseases, encompassing their symptoms and corresponding therapies.
 The objective of the training process was to augment the model's proficiency in comprehending a wide array of diseases and formulating appropriate responses. "