---
license: apache-2.0
language:
- zh
library_name: transformers
pipeline_tag: conversational
---

## 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](https://github.com/gmftbyGMFTBY/science-llm) 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](https://github.com/gmftbyGMFTBY/science-llm/blob/main/LICENSE)
- **License:** English

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** [Github Repo](https://github.com/gmftbyGMFTBY/science-llm)
- **Paper [optional]:** [Paper Repo]()