DB-GPT 安装

从源代码开始安装,因为docker镜像库不能用了。。。

参考官网:

https://docs.dbgpt.site/docs/latest/quickstart

安装文档 - source

https://docs.dbgpt.site/docs/latest/installation/sourcecode

下载源代码

Download DB-GPT

git clone https://github.com/eosphoros-ai/DB-GPT.git

报错

remote: Counting objects: 100% (208/208), done.

remote: Compressing objects: 100% (175/175), done.

error: RPC failed; curl 56 GnuTLS recv error (-9): Error decoding the received TLS packet.

error: 57342 bytes of body are still expected

fetch-pack: unexpected disconnect while reading sideband packet

fatal: early EOF

fatal: fetch-pack: invalid index-pack output

奇怪 ,貌似我的这个Ubuntu有问题,不深究,从别的Ubuntu系统下载,然后拷贝过去

tar -zcvf DB-GPT.tgz DB-GPT/

scp DB-GPT.tgz root@192.168.254.194:/data/

下载minoconda和python

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh

chmod +x Miniconda3-latest-Linux-x86_64.sh

./Miniconda3-latest-Linux-x86_64.sh

You can undo this by running `conda init --reverse $SHELL`? [yes|no]

no\] \>\>\> 这里要选yes source \~/.bashrc 注意: Do you wish to update your shell profile to automatically initialize conda? This will activate conda on startup and change the command prompt when activated. If you'd prefer that conda's base environment not be activated on startup, run the following command when conda is activated: conda config --set auto_activate_base false You can undo this by running \`conda init --reverse $SHELL\` conda create -n dbgpt_env python=3.10 conda activate dbgpt_env cd /data/DB-GPT/ conda install pytorch conda install fastapi conda install python-dotenv conda install cachetools cd /data/DB-GPT/ pip install -e ".\[default\]" 提示: Running setup.py develop for dbgpt 很快完成 sudo yum install qemu-kvm libvirt libvirt-devel libguestfs-tools virt-install bridge-utils sudo systemctl start libvirtd sudo systemctl enable libvirtd sudo yum install virt-manager conda install pytorch 报错: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='repo.anaconda.com', port=443): Read timed out. (read timeout=9.15)")': /pkgs/main/linux-64/gmpy2-2.1.2-py310heeb90bb_0.conda 解决办法: conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/ conda config --set show_channel_urls yes pip install -e ".\[default\]" 报错: Downloading nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 622.3/731.7 MB 489.4 kB/s eta 0:03:44 pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out. 网络问题,后面加个参数proxy配置即可 pip install -e ".[default]" --proxy http://myproxy:8086 export PYTHONPATH=/data/DB-GPT export PYTHONPATH=/data/DB-GPT models 需要下载 cd DB-GPT mkdir models and cd models # Add the Git LFS package repository curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh \| sudo bash # Update your package lists sudo apt-get update # Install Git LFS sudo apt install git-lfs # embedding model git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese # also you can use m3e-large model, you can choose one of them according to your needs # git clone https://huggingface.co/moka-ai/m3e-large # LLM model, if you use openai or Azure or tongyi llm api service, you don't need to download llm model git clone https://huggingface.co/THUDM/glm-4-9b-chat apt install rar rar a -v500m models.rar models/\* scp models.part00\*.rar root@192.168.254.194:/data/DB-GPT/ scp root@172.21.254.215:/mnt/bigstore/nfs_zstack/upload_zstack/temp/dbgpt.models/\*.rar 环境说明: model_name: glm-4-9b-chat model_path: /data/DB-GPT/models/glm-4-9b-chat ======================================== 启动DB-GPT的脚本 startDB-GPT.sh #!/bin/sh # conda activate dbgpt_env cd /data/DB-GPT /data/miniconda3/envs/dbgpt_env/bin/python dbgpt/app/dbgpt_server.py ======================================== db-gpt.service \[Unit

Description=My Conda Script Service DB-GPT

After=network.target

Service

Type=onshot

#simple

ExecStart=/data/startDB-GPT.sh

Restart=on-failure

User=root

Environment="PATH=/usr/bin:/data/miniconda3/condabin:$PATH"

WorkingDirectory=/data/DB-GPT

Environment="CONDA_DEFAULT_ENV=dbgpt_env"

StandardOutput=journal

StandardError=file://data/DB-GPT/error.log

Environment="CONDA_EXE=/data/miniconda3/bin/conda"

Environment="CONDA_PREFIX=/data/miniconda3/envs/dbgpt_env"

Environment="CONDA_PREFIX_1=/data/miniconda3"

Environment="CONDA_PROMPT_MODIFIER='(dbgpt_env) '"

Environment="CONDA_PYTHON_EXE=/data/miniconda3/bin/python"

Install

WantedBy=multi-user.target

相关推荐
洛克大航海2 小时前
解锁 PySpark SQL 的强大功能:有关 App Store 数据的端到端教程
linux·数据库·sql·pyspark sql
你的人类朋友2 小时前
AI领域常见概念一览
gpt·ai编程·trae
XueminXu3 小时前
ClickHouse数据库的表引擎
数据库·clickhouse·log·表引擎·mergetree·special·integrations
冒泡的肥皂4 小时前
MVCC初学demo(二
数据库·后端·mysql
代码程序猿RIP4 小时前
【Redis 】Redis 详解以及安装教程
数据库·etcd
小生凡一4 小时前
redis 大key、热key优化技巧|空间存储优化|调优技巧(一)
数据库·redis·缓存
oe10194 小时前
好文与笔记分享 A Survey of Context Engineering for Large Language Models(上)
数据库·笔记·语言模型·agent·上下文工程
小马哥编程4 小时前
【软考架构】案例分析-对比MySQL查询缓存与Memcached
java·数据库·mysql·缓存·架构·memcached
一 乐4 小时前
高校后勤报修系统|物业管理|基于SprinBoot+vue的高校后勤报修系统(源码+数据库+文档)
java·前端·javascript·数据库·vue.js·毕设
折翼的恶魔4 小时前
SQL190 0级用户高难度试卷的平均用时和平均得分
java·数据库