RichardErkhov/DLI-Lab_-_DOCTOR-8bits

Quantization made by Richard Erkhov.

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DOCTOR - bnb 8bits

• Model creator: https://huggingface.co/DLI-Lab/
• Original model: https://huggingface.co/DLI-Lab/DOCTOR/

Original model description:

license: apache-2.0 datasets: - DLI-Lab/DONUT widget: - text: 'A: Hi, Viggo. How are you doing today?\nB: Hey, Yovani. I’m doing all right. Thanks for asking.\nA: No problem. I saw that you left your coffee mug on the counter this morning. Did you forget to take it with you?\nB: Yeah, I did. Thanks for grabbing it for me.\nA: No problem at all. I know how busy you are and I didn’t want you to have to come back for it later.\nB: You’re a lifesaver, Yovani. Seriously, thank you so much.' - example_title: 'example 1'

A dialogue commonsense reasoner that generates Chain-of-Thought knowledge in a multi-hop manner given a dialogue history. Our DOCTOR is trained with DONUT which is also available on huggingface.

Links for Reference

• Demo:https://dialoguecot.web.app/
• Repository:https://github.com/kyle8581/DialogueCoT
• Paper:https://arxiv.org/abs/2310.09343
• Point of Contact:[email protected]

For more details, you can look at our paper Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. If you find the following model helpful, please consider citing our paper!

BibTeX:

@misc{chae2023dialogue,
      title={Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents}, 
      author={Hyungjoo Chae and Yongho Song and Kai Tzu-iunn Ong and Taeyoon Kwon and Minjin Kim and Youngjae Yu and Dongha Lee and Dongyeop Kang and Jinyoung Yeo},
      year={2023},
      eprint={2310.09343},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}