**[2023/05/17]** 发布 [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B)，一个支持图像理解的多模态对话语言模型。
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[2023/05/17] 发布 VisualGLM-6B，一个支持图像理解的多模态对话语言模型。
可以通过本仓库中的 cli_demo_vision.py 和 web_demo_vision.py 来运行命令行和网页 Demo。注意 VisualGLM-6B 需要额外安装 SwissArmyTransformer 和 torchvision。更多信息参见 VisualGLM-6B。
[2023/05/15] 更新 v1.1 版本 checkpoint，训练数据增加英文数据以平衡中英文数据比例，解决英文回答中夹杂中文词语的现象。
[2023/04/16] 增加 INT8 量化后的模型 ChatGLM-6B-INT8。增加多卡部署（感谢 @Cherrysaber）。
[2023/04/06] 优化web demo的界面（感谢 @tuteng0915）。移除embedding中的image token以减小显存占用（需要更新模型文件
pytorch_model-00001-of-00008.binpytorch_model-00008-of-00008.binicetkice_text.model[2023/03/31] 增加基于 P-Tuning-v2 的高效参数微调实现，INT4 量化级别下最低只需 7GB 显存即可进行模型微调。详见高效参数微调方法。
[2023/03/23] 增加 API 部署（感谢 @LemonQu-GIT）。增加 Embedding 量化模型 ChatGLM-6B-INT4-QE (已停止维护)。增加配备 Apple Silicon 芯片的 Mac 上 GPU 加速的支持。
[2023/03/19] 增加流式输出接口
stream_chat[2023/05/17] Release VisualGLM-6B, a multimodal conversational language model supporting image understanding.
You can run the command line and web demo through cli_demo_vision.py and web_demo_vision.py in the repository. Note that VisualGLM-6B requires additional installation of SwissArmyTransformer and torchvision. For more information, please refer to VisualGLM-6B.
[2023/05/15] Update the checkpoint of v1.1 version, add English instruction data for training to balance the proportion of Chinese and English data, which solves the phenomenon of Chinese words mixed in English answers .
[2023/04/16] Added INT8 quantized model ChatGLM-6B-INT8. Added multi-GPU deployment (thanks to @Cherrysaber).
[2023/04/06] Improve the web demo interface (thanks to @tuteng0915). Remove the image tokens in the embedding layer to reduce the memory usage (need to update the model files
pytorch_model-00001-of-00008.binpytorch_model-00008-of-00008.binicetkice_text.model[2023/03/31] Added a parameter-efficient tuning implementation based on P-Tuning-v2. The minimum INT4 quantization level only needs 7GB GPU memory is enough for model tuning. See Parameter-efficient tuning method for details.
[2023/03/23] Add API deployment, thanks to @LemonQu-GIT. Add embedding-quantized model ChatGLM-6B-INT4-QE. Add support for GPU inference on Mac with Apple Silicon.
[2023/03/19] Add streaming output function
stream_chat