Create README.md

README.md

@@ -0,0 +1,32 @@
+---
+license: apache-2.0
+datasets:
+- allenai/qasper
+- DataHammer/scimrc
+language:
+- en
+- zh
+library_name: transformers
+pipeline_tag: question-answering
+---
+
+## 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:** LLaMA 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.
+- **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:** [Girhub Repo](https://github.com/gmftbyGMFTBY/science-llm)
+- **Paper [optional]:** [Paper Repo]()