Update README.md

README.md

@@ -18,9 +18,9 @@ pipeline_tag: question-answering
 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:** LLaMA was trained In May. 2023.
+- **Model date:** Mozi was trained In May. 2023.
 - **Model version:** This is version 1 of the model.
-- **Model type:** mozi_llama is an auto-regressive language model, based on the transformer architecture. The model comes in different sizes: 7B parameters.
+- **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