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By default, the model is loaded with FP16 precision, running the above code requires about 13GB of VRAM. If your GPU's VRAM is limited, you can try loading the model quantitatively, as follows:
finetune_demo/output
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**Mac直接加载量化后的模型出现提示 `clang: error: unsupported option '-fopenmp'**
**[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。
对 ChatGLM 进行加速或者重新实现的开源项目：
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__pycache__/
**Mac直接加载量化后的模型出现提示 `clang: error: unsupported option '-fopenmp'**
site_url: https://github.com/binary-husky/gpt_academic
- repo: https://github.com/pre-commit/pre-commit-hooks
__pycache__/
*.cpp linguist-detectable=false
.github
# 「方法1: 适用于Linux，很方便，可惜windows不支持」与宿主的网络融合为一体，这个是默认配置
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lui/
Transform: AWS::Serverless-2016-10-31
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docker/volumes/db/data