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mozi_emotional_7b
DataHammer/mozi_emotional_7b
mozi_emotional_7b is a text generation model from DataHammer. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
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 gen…
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Updated Jun 29, 2023
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247 MB
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Jun 27, 2023
- Updated
- Jun 29, 2023
- SHA
- f49c7949
Model card
From the Hugging Face model README
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]
<!-- Provide the basic links for the model. -->- Repository: Github Repo
- Paper [optional]: Paper Repo
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Languages
- zh
- Created
- Jun 27, 2023
- Updated
- Jun 29, 2023