ChatGLM2-6B-32K-int4

💻 Github Repo • 🐦 Twitter • 📃 [GLM@ACL 22] [GitHub] • 📃 [GLM-130B@ICLR 23] [GitHub]

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更新/Update

  • 我们优化了KV Cache的存储方式,减少了显存碎片的产生。基于优化后的代码,模型可以在约11G显存的情况下处理32K长度的上下文。
  • We have optimized the storage method of the KV Cache, reducing the generation of memory fragmentation. Based on the optimized code, the model can process a context length of 32K under approximately 11G of memory.

介绍

ChatGLM2-6B-32K在ChatGLM2-6B的基础上进一步强化了对于长文本的理解能力,能够更好的处理最多32K长度的上下文。具体地,我们基于位置插值(Positional Interpolation)的方法对位置编码进行了更新,并在对话阶段使用 32K 的上下文长度训练。在实际的使用中,如果您面临的上下文长度基本在 8K 以内,我们推荐使用ChatGLM2-6B;如果您需要处理超过 8K 的上下文长度,我们推荐使用ChatGLM2-6B-32K。

ChatGLM2-6B-32K是开源中英双语对话模型 ChatGLM2-6B 的加长版本,在保留了初代模型对话流畅、部署门槛较低等众多优秀特性的基础之上,ChatGLM2-6B-32k 引入了如下新特性:

  1. 更强大的性能:基于 ChatGLM 初代模型的开发经验,我们全面升级了 ChatGLM2-6B-32K 的基座模型。ChatGLM2-6B-32K 使用了 GLM 的混合目标函数,经过了 1.4T 中英标识符的预训练与人类偏好对齐训练。
  2. 更长的上下文:基于 FlashAttention 技术,我们将基座模型的上下文长度(Context Length)由 ChatGLM-6B 的 2K 扩展到了 32K,并在对话阶段使用 32K 的上下文长度训练,允许更多轮次的对话。
  3. 更高效的推理:基于 Multi-Query Attention 技术,ChatGLM2-6B-32K 有更高效的推理速度和更低的显存占用:在官方的模型实现下,推理速度相比初代提升了 42%,INT4 量化下,6G 显存支持的对话长度由 1K 提升到了 8K。
  4. 更开放的协议:ChatGLM2-6B-32K 权重对学术研究完全开放,在填写问卷进行登记后亦允许免费商业使用

The ChatGLM2-6B-32K further strengthens the ability to understand long texts based on the ChatGLM2-6B, and can better handle up to 32K context length. Specifically, we have updated the position encoding based on the method of Positional Interpolation, and trained with a 32K context length during the dialogue alignment. In practical use, if the context length you are dealing with is generally within 8K, we recommend using ChatGLM2-6B; if you need to handle a context length exceeding 8K, we recommend using ChatGLM2-6B-32K.

ChatGLM2-6B-32K is the second-generation version of the open-source bilingual (Chinese-English) chat model ChatGLM-6B. It retains the smooth conversation flow and low deployment threshold of the first-generation model, while introducing the following new features:

  1. Stronger Performance: Based on the development experience of the first-generation ChatGLM model, we have fully upgraded the base model of ChatGLM2-6B-32K. ChatGLM2-6B-32K uses the hybrid objective function of GLM, and has undergone pre-training with 1.4T bilingual tokens and human preference alignment training.
  2. Longer Context: Based on FlashAttention technique, we have extended the context length of the base model from 2K in ChatGLM-6B to 32K, and trained with a context length of 32K during the dialogue alignment, allowing for more rounds of dialogue.
  3. More Efficient Inference: Based on Multi-Query Attention technique, ChatGLM2-6B-32K has more efficient inference speed and lower GPU memory usage: under the official implementation, the inference speed has increased by 42% compared to the first generation; under INT4 quantization, the dialogue length supported by 6G GPU memory has increased from 1K to 8K.
  4. More Open License: ChatGLM2-6B-32K weights are completely open for academic research, and free commercial use is also allowed after completing the questionnaire.

软件依赖

pip install protobuf transformers==4.30.2 cpm_kernels torch>=2.0 gradio mdtex2html sentencepiece accelerate

代码调用

可以通过如下代码调用 ChatGLM-6B-32K 模型来生成对话:

>>> from transformers import AutoTokenizer, AutoModel
>>> tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b-32k-int4", trust_remote_code=True)
>>> model = AutoModel.from_pretrained("THUDM/chatglm2-6b-32k-int4", trust_remote_code=True).half().cuda()
>>> model = model.eval()
>>> response, history = model.chat(tokenizer, "你好", history=[])
>>> print(response)
你好👋!我是人工智能助手 ChatGLM-6B,很高兴见到你,欢迎问我任何问题。
>>> response, history = model.chat(tokenizer, "晚上睡不着应该怎么办", history=history)
>>> print(response)
晚上睡不着可能会让你感到焦虑或不舒服,但以下是一些可以帮助你入睡的方法:

1. 制定规律的睡眠时间表:保持规律的睡眠时间表可以帮助你建立健康的睡眠习惯,使你更容易入睡。尽量在每天的相同时间上床,并在同一时间起床。
2. 创造一个舒适的睡眠环境:确保睡眠环境舒适,安静,黑暗且温度适宜。可以使用舒适的床上用品,并保持房间通风。
3. 放松身心:在睡前做些放松的活动,例如泡个热水澡,听些轻柔的音乐,阅读一些有趣的书籍等,有助于缓解紧张和焦虑,使你更容易入睡。
4. 避免饮用含有咖啡因的饮料:咖啡因是一种刺激性物质,会影响你的睡眠质量。尽量避免在睡前饮用含有咖啡因的饮料,例如咖啡,茶和可乐。
5. 避免在床上做与睡眠无关的事情:在床上做些与睡眠无关的事情,例如看电影,玩游戏或工作等,可能会干扰你的睡眠。
6. 尝试呼吸技巧:深呼吸是一种放松技巧,可以帮助你缓解紧张和焦虑,使你更容易入睡。试着慢慢吸气,保持几秒钟,然后缓慢呼气。

如果这些方法无法帮助你入睡,你可以考虑咨询医生或睡眠专家,寻求进一步的建议。

关于更多的使用说明,包括如何运行命令行和网页版本的 DEMO,以及使用模型量化以节省显存,请参考我们的 Github Repo

For more instructions, including how to run CLI and web demos, and model quantization, please refer to our Github Repo.

Change Log

  • v1.0

协议

本仓库的代码依照 Apache-2.0 协议开源,ChatGLM2-6B-32K 模型的权重的使用则需要遵循 Model License

引用

如果你觉得我们的工作有帮助的话,请考虑引用下列论文,ChatGLM2-6B 的论文会在近期公布,敬请期待~

@article{zeng2022glm,
  title={Glm-130b: An open bilingual pre-trained model},
  author={Zeng, Aohan and Liu, Xiao and Du, Zhengxiao and Wang, Zihan and Lai, Hanyu and Ding, Ming and Yang, Zhuoyi and Xu, Yifan and Zheng, Wendi and Xia, Xiao and others},
  journal={arXiv preprint arXiv:2210.02414},
  year={2022}
}
@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}
}
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