# CUDA [CUDA Toolkit 12.4 Update 1 下载 |NVIDIA 开发人员 --- CUDA Toolkit 12.4 Update 1 Downloads | NVIDIA Developer](https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=WSL-Ubuntu&target_version=2.0&target_type=runfile_local) 选择runfile 安装好后设置到/root/.bashrc,版本以实际为准 ``` export CUDA_HOME=/usr/local/cuda-12.4:$CUDA_HOME export PATH=/usr/local/cuda-12.4/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-12.4/lib64:$LD_LIBRARY_PATH ``` # miniconda ``` wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-latest-Linux-x86_64.sh sudo chmod 777 Miniconda3-latest-Linux-x86_64.sh ./Miniconda3-latest-Linux-x86_64.sh ``` ~/.bashrc设置miniconda ``` export PATH=/root/miniconda3/bin/conda:$PATH ``` `source ~/.bashrc` 之后再执行 `/root/miniconda3/bin/conda init` 重启shell看到(base)就是成功 # 微调环境 ``` conda create -n llm python=3.11.9 conda activate llm ``` Loading... # CUDA [CUDA Toolkit 12.4 Update 1 下载 |NVIDIA 开发人员 --- CUDA Toolkit 12.4 Update 1 Downloads | NVIDIA Developer](https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=WSL-Ubuntu&target_version=2.0&target_type=runfile_local) 选择runfile 安装好后设置到/root/.bashrc,版本以实际为准 ``` export CUDA_HOME=/usr/local/cuda-12.4:$CUDA_HOME export PATH=/usr/local/cuda-12.4/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-12.4/lib64:$LD_LIBRARY_PATH ``` # miniconda ``` wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-latest-Linux-x86_64.sh sudo chmod 777 Miniconda3-latest-Linux-x86_64.sh ./Miniconda3-latest-Linux-x86_64.sh ``` ~/.bashrc设置miniconda ``` export PATH=/root/miniconda3/bin/conda:$PATH ``` `source ~/.bashrc` 之后再执行 `/root/miniconda3/bin/conda init` 重启shell看到(base)就是成功 # 微调环境 ``` conda create -n llm python=3.11.9 conda activate llm ``` Last modification:September 20, 2024 © Allow specification reprint Like 如果觉得我的文章对你有用,请随意赞赏
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