---
license: mit
datasets:
- U-rara/SEPIT-Data
language:
- en
base_model:
- TinyLlama/TinyLlama-1.1B-Chat-v1.0
- facebook/esm2_t33_650M_UR50D
pipeline_tag: question-answering
library_name: transformers
---

# Model of Paper "SEPIT: Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding"

## Usage
**Please refer to https://github.com/U-rara/SEPIT for how to use it.**

## Citation

If our work is helpful to you, please cite our paper:

```bibtex
@misc{wu2024structureenhancedproteininstructiontuning,
      title={Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding}, 
      author={Wei Wu and Chao Wang and Liyi Chen and Mingze Yin and Yiheng Zhu and Kun Fu and Jieping Ye and Hui Xiong and Zheng Wang},
      year={2024},
      eprint={2410.03553},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2410.03553}, 
}
```