Model Details

Model Description

<!-- Provide a longer summary of what this model is. --> 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: Chinese

Model Sources [optional]

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• Repository: Github Repo
• Paper [optional]: Paper Repo