1.下载安装包

通过以下的地址下载miniconda程序包：

https://docs.conda.io/en/latest/miniconda.html

选择特定版本的安装器进行下载:

2.上传至服务器开始安装

下载到本地之后，上传到服务器上，增加文件的可执行权限。

[root@ecm-dec0 download]# chmod +x Miniconda3-latest-Linux-x86_64.sh 

安装miniconda,执行下面的命令进行安装:

[root@ecm-dec0 download]# ./Miniconda3-latest-Linux-x86_64.sh 

出现下面的部分，直接“回车”

In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
>>> 

直到出现以下提示信息，表示miniconda安装成功！

安装完成之后，开启一个新的终端，会提示，已经在base的环境里面了。

设置conda的源使用清华源。

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
conda config --set show_channel_urls yes

3.验证miniconda是否安装成功

(base) [root@ecm-dec0 ~]# conda -V
conda 24.5.0
(base) [root@ecm-dec0 ~]# conda info

     active environment : base
    active env location : /root/miniconda3
            shell level : 1
       user config file : /root/.condarc
 populated config files : /root/.condarc
          conda version : 24.5.0
    conda-build version : not installed
         python version : 3.12.4.final.0
                 solver : libmamba (default)
       virtual packages : __archspec=1=cascadelake
                          __conda=24.5.0=0
                          __glibc=2.17=0
                          __linux=3.10.0=0
                          __unix=0=0
       base environment : /root/miniconda3  (writable)
      conda av data dir : /root/miniconda3/etc/conda
  conda av metadata url : None
           channel URLs : https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/noarch
                          https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /root/miniconda3/pkgs
                          /root/.conda/pkgs
       envs directories : /root/miniconda3/envs
                          /root/.conda/envs
               platform : linux-64
             user-agent : conda/24.5.0 requests/2.32.2 CPython/3.12.4 Linux/3.10.0-1160.95.1.el7.x86_64 centos/7.9.2009 glibc/2.17 solver/libmamba conda-libmamba-solver/24.1.0 libmambapy/1.5.8 aau/0.4.4 c/. s/. e/.
                UID:GID : 0:0
             netrc file : None
           offline mode : False