ChatGLM-6B-Int4模型介绍

pip install modelscope==1.4.3 -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html 

pip install protobuf transformers==4.27.1 cpm_kernels

from modelscope.utils.constant import Tasks
from modelscope.pipelines import pipeline
pipe = pipeline(task=Tasks.chat, model='ZhipuAI/ChatGLM-6B-Int4', model_revision='v1.0.1')
inputs = {'text':'你好', 'history': []}
result = pipe(inputs)
inputs = {'text':'介绍下清华大学', 'history': result['history']}
result = pipe(inputs)
print(result)

@inproceedings{
  zeng2023glm-130b,
  title={{GLM}-130B: An Open Bilingual Pre-trained Model},
  author={Aohan Zeng and Xiao Liu and Zhengxiao Du and Zihan Wang and Hanyu Lai and Ming Ding and Zhuoyi Yang and Yifan Xu and Wendi Zheng and Xiao Xia and Weng Lam Tam and Zixuan Ma and Yufei Xue and Jidong Zhai and Wenguang Chen and Zhiyuan Liu and Peng Zhang and Yuxiao Dong and Jie Tang},
  booktitle={The Eleventh International Conference on Learning Representations (ICLR)},
  year={2023},
  url={https://openreview.net/forum?id=-Aw0rrrPUF}
}

@inproceedings{du2022glm,
  title={GLM: General Language Model Pretraining with Autoregressive Blank Infilling},
  author={Du, Zhengxiao and Qian, Yujie and Liu, Xiao and Ding, Ming and Qiu, Jiezhong and Yang, Zhilin and Tang, Jie},
  booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={320--335},
  year={2022}
}

 git clone https://www.modelscope.cn/ZhipuAI/ChatGLM-6B.git