General
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<a href="README_CN.md">中文</a>  ｜  English   ｜  <a href="README_JA.md">日本語</a> ｜  <a href="README_KO.md">한국어</a> 
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General
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中文</a>  ｜  <a href="README.md">English</a>   ｜  <a href="README_JA.md">日本語</a> ｜  <a href="README_KO.md">한국어</a> 
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General
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<a href="README_CN.md">中文</a>  ｜   <a href="README.md">English</a>  ｜  日本語 
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General
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FAQ
4.31.0 is preferred.
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General
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FAQ
4.31.0 が望ましいです。
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General
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FAQ
4.31.0 버전을 사용하는 것을 선호합니다.
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General
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FAQ
建议使用4.31.0。
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General
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__pycache__
*.so
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qwen web demo
docker build -t qwen-vl-chat:webdemo --platform linux/amd64 -f Dockerfile.qwendemo .
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<div align="center">
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General
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[flake8]
ignore = E501, F403, C901, W504, W605, E251, E122, E126, E127, E722, W503, E128, E741, E731, E701
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General
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Byte-compiled / optimized / DLL files
__pycache__/
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General
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exclude: ^internvl_chat_llava/
repos:
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🛠️ Installation
- Clone this repository:
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CogVLM & CogAgent
📗 [中文版README](./README_zh.md)
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General
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CogVLM & CogAgent
📗 [README in English](./README.md)
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General
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CogVLM-SFT-311K: Bilingual Visual Instruction Data in CogVLM SFT
CogVLM-SFT-311K is the primary aligned corpus used in the initial training of CogVLM v1.0. The process of constructing this dataset is as follows:
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General
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CogVLM-SFT-311K：CogVLM SFT 中的双语视觉指令数据集
CogVLM-SFT-311K 是我们在训练 **CogVLM v1.0** 最初版本时使用的主要对齐语料库。此数据集的构建过程如下：
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SAT_HOME=~/.sat_models
LOCAL_WORLD_SIZE=8
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.hypothesis/
__pycache__
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Configuration for Cog ⚙️
build:
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The .dockerignore file excludes files from the container build process.
.git
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root = true
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