There still exists a few issues in the model trained on current base model and data:
The model might generate factual errors when asked to follow instructions related to facts.
Occasionally generates harmful responses since the model still struggles to identify potential harmful instructions.
Needs improvements on reasoning and coding.
Since the model still has its limitations, we require developers only use the open-sourced code, data, model and any other artifacts generated via this project for research purposes. Commercial use and other potential harmful use cases are not allowed.
Citation
Please cite us when using our code, data or model.
@misc{BELLE,
author = {Yunjie Ji, Yong Deng, Yan Gong, Yiping Peng, Qiang Niu, Baochang Ma, Xiangang Li},
title = {BELLE: Bloom-Enhanced Large Language model Engine },
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/LianjiaTech/BELLE}},
}
Cite the original BLOOM, Stanford Alpaca and Self-Instruct papers as well!
