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metadata
license: apache-2.0
datasets:
  - allenai/qasper
  - DataHammer/scimrc
language:
  - en
  - zh
library_name: transformers
pipeline_tag: question-answering

Model Details

Model Description

Mozi is the first large-scale language model for the scientific paper domain, such as question answering and emotional support. With the help of the large-scale language and evidence retrieval models, SciDPR, Mozi generates concise and accurate responses to users' questions about specific papers and provides emotional support for academic researchers.

  • Developed by: See GitHub repo for model developers
  • Model date: Mozi was trained In May. 2023.
  • Model version: This is version 1 of the model.
  • Model type: Mozi is an auto-regressive language model, based on the transformer architecture. The model comes in different sizes: 7B parameters.
  • Language(s) (NLP): Apache 2.0
  • License: English, Chinese

Model Sources [optional]