镜像构建历史
# 2025-09-04 04:28:42 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]
# 2025-09-04 04:28:42 0.00B 声明容器运行时监听的端口
EXPOSE map[22/tcp:{} 8888/tcp:{}]
# 2025-09-04 04:28:42 0.00B 设置工作目录为/workspace
WORKDIR /workspace
# 2025-09-04 04:28:41 621.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /home/unsloth/.ssh && chmod 700 /home/unsloth/.ssh && ssh-keyscan -t rsa github.com >> /home/unsloth/.ssh/known_hosts && chmod 644 /home/unsloth/.ssh/known_hosts && echo 'set-option -g history-limit 10000' >> /home/unsloth/.tmux.conf && echo 'set-option -g mouse on' >> /home/unsloth/.tmux.conf && mkdir -p /home/unsloth/.jupyter # buildkit
# 2025-09-04 04:28:41 0.00B 指定运行容器时使用的用户
USER unsloth:runtimeusers
# 2025-09-04 04:28:41 36.52MB 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /var/log/supervisor && mkdir -p /var/log/ssh && mkdir -p /var/log/jupyter && setfacl -m u:unsloth:rwx /var/log && setfacl -m u:unsloth:rwx /var/run && chown -R unsloth:runtimeusers /var/log && chown -R unsloth:runtimeusers /var/run && chmod +x /usr/local/bin/entrypoint.sh && chown -R unsloth:runtimeusers /workspace/unsloth-notebooks && sudo ln -s /usr/lib/x86_64-linux-gnu/libcuda.so.1 /usr/lib/x86_64-linux-gnu/libcuda.so && ssh-keygen -A && chmod 600 /etc/ssh/ssh_host_*_key && chmod 644 /etc/ssh/ssh_host_*_key.pub # buildkit
# 2025-09-04 04:28:41 3.75KB 复制新文件或目录到容器中
COPY supervisord /etc/init.d/supervisor # buildkit
# 2025-09-04 04:28:41 1.17KB 复制新文件或目录到容器中
COPY supervisord.conf /etc/supervisor/conf.d/supervisord.conf # buildkit
# 2025-09-04 04:28:41 35.58MB 复制新文件或目录到容器中
COPY notebooks/ /workspace/unsloth-notebooks/ # buildkit
# 2025-09-04 04:28:41 3.29KB 复制新文件或目录到容器中
COPY sshd_config /etc/ssh/sshd_config # buildkit
# 2025-09-04 04:28:41 4.41KB 复制新文件或目录到容器中
COPY --chown=unsloth:runtimeusers entrypoint.sh /usr/local/bin/entrypoint.sh # buildkit
# 2025-09-04 04:28:40 40.48MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends tmux rsync nano acl supervisor && mkdir -p /workspace/unsloth-notebooks /workspace/.cache/huggingface && chown -R unsloth:runtimeusers /workspace && chown -R unsloth:runtimeusers /workspace/unsloth-notebooks && chown -R unsloth:runtimeusers /workspace/.cache/huggingface && echo "=========================================" > /etc/motd && echo "🦥 Welcome to Unsloth Container!" >> /etc/motd && echo "=========================================" >> /etc/motd && echo "" >> /etc/motd && echo "🚀 Quick Start:" >> /etc/motd && echo " - Jupyter Lab: http://localhost:8888" >> /etc/motd && echo " - Working dir: work" >> /etc/motd && echo " - User: unsloth" >> /etc/motd && echo "" >> /etc/motd && echo "📚 Useful Commands:" >> /etc/motd && echo " - List environments: mamba env list" >> /etc/motd && echo " - Activate unsloth: mamba activate unsloth" >> /etc/motd && echo " - Install packages: pip install <package>" >> /etc/motd && echo "" >> /etc/motd && echo "🔧 Directories:" >> /etc/motd && echo " - Notebooks: unsloth-notebooks" >> /etc/motd && echo " - HF Cache: .cache/huggingface" >> /etc/motd && echo " - Persistent disk: work" >> /etc/motd && echo "" >> /etc/motd && echo "💡 Tips:" >> /etc/motd && echo " - Use tmux for persistent sessions" >> /etc/motd && echo " - Models and datasets cache automatically" >> /etc/motd && echo " - Save your work in shared folder/volume bind" >> /etc/motd && echo " - Check GPU: nvidia-smi" >> /etc/motd && echo "" >> /etc/motd && echo "Happy fine-tuning! 🎯" >> /etc/motd && echo "=========================================" >> /etc/motd && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-09-04 04:28:32 0.00B 指定运行容器时使用的用户
USER root:runtimeusers
# 2025-09-04 04:28:32 3.71GB 执行命令并创建新的镜像层
RUN /bin/sh -c python3 -m pip install --no-cache-dir langid jiwer omegaconf einx pyloudnorm openai-whisper uroman MeCab loguru flatten_dict ffmpy randomname argbind tiktoken ftfy importlib-resources ipython librosa markdown2 matplotlib pystoi soundfile tensorboard torch-stoi jupyterlab notebook ipywidgets timm transformers-cfg evaluate huggingface-hub[hf-transfer] "math-verify[antlr4_13_2]" wandb tensorboard && python3 -m pip install --no-deps descript-audio-codec descript-audiotools julius snac && python3 -m pip install --no-cache-dir synthetic-data-kit==0.0.3 vllm==0.9.2 unsloth-zoo unsloth && python3 -m pip install --force-reinstall --no-deps git+https://github.com/unslothai/unsloth-zoo.git@f1c2e1a56f13c0fcfb022001e705cca8ba8a9e3b git+https://github.com/unslothai/unsloth.git@5f14e6fcd405db038ec099c5fe8ba4a753c8472e && python3 -m pip install --force-reinstall transformers==4.55.4 && python3 -m pip install --no-deps trl==0.19.1 && python3 -m pip install kernels git+https://github.com/triton-lang/triton.git@05b2c186c1b6c9a08375389d5efe9cb4c401c075#subdirectory=python/triton_kernels && python3 -m pip install numpy==2.2.6 && python3 -m pip cache purge && jupyter lab clean # buildkit
# 2025-09-04 04:26:47 0.00B 指定运行容器时使用的用户
USER unsloth:runtimeusers
# 2025-09-04 04:26:47 117.00B 执行命令并创建新的镜像层
RUN /bin/sh -c echo "unsloth ALL=(ALL) NOPASSWD: /bin/mkdir -p /var/run/sshd, /usr/sbin/sshd -D -p 22, /usr/sbin/chpasswd, /usr/bin/chmod" > /etc/sudoers.d/unsloth-ssh && chmod 0440 /etc/sudoers.d/unsloth-ssh # buildkit
# 2025-09-04 04:26:47 0.00B 设置环境变量 HF_HOME HF_HUB_ENABLE_HF_TRANSFER LD_LIBRARY_PATH
ENV HF_HOME=/workspace/.cache/huggingface HF_HUB_ENABLE_HF_TRANSFER=1 LD_LIBRARY_PATH=/usr/local/cuda-12.6/lib64:/usr/lib/x86_64-linux-gnu:/opt/conda/lib/python3.11/site-packages/torch/lib:/opt/conda/lib:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2025-09-04 04:26:47 0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/unslothai/unsloth
# 2025-08-21 08:26:11 0.00B 设置工作目录为/workspace
WORKDIR /workspace
# 2025-08-21 08:26:11 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c rm -rf /tmp/* /var/tmp/* /root/.cache # buildkit
# 2025-08-21 08:26:11 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /workspace && chown -R unsloth:unsloth /workspace && chmod 775 /workspace # buildkit
# 2025-08-21 08:26:10 7.18GB 复制新文件或目录到容器中
COPY /opt/conda/ /opt/conda/ # buildkit
# 2025-08-21 08:23:32 765.48MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -y && apt-get install -y --no-install-recommends wget curl ca-certificates sudo htop vim git git-lfs dumb-init tree ssh ripgrep ffmpeg build-essential && groupadd -K GID_MIN=100 -K GID_MAX=499 runtimeusers && groupadd --gid 1001 unsloth && useradd -m -u 1001 -g 1001 -s /bin/bash unsloth && usermod -aG sudo unsloth && gpasswd -a unsloth runtimeusers && sed -i /etc/sudoers -re 's/^%sudo.*/%sudo ALL=(ALL:ALL) ALL/g' && echo 'export PATH="/opt/conda/bin:/usr/local/cuda/bin:${PATH}"' >> /etc/bash.bashrc && echo 'export CUDA_HOME="/usr/local/cuda"' >> /etc/bash.bashrc && apt-get clean && apt-get autoremove -y && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* # buildkit
# 2025-08-21 08:23:32 0.00B 设置环境变量 PATH CONDA_PREFIX DEBIAN_FRONTEND CUDA_HOME LD_LIBRARY_PATH
ENV PATH=/opt/conda/bin:/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin CONDA_PREFIX=/opt/conda DEBIAN_FRONTEND=noninteractive CUDA_HOME=/usr/local/cuda LD_LIBRARY_PATH=/opt/conda/lib/python3.11/site-packages/torch/lib:/opt/conda/lib:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2024-11-23 02:53:36 867.83MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-11-23 02:53:36 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.5.1.17-1
# 2024-11-23 02:53:36 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-11-23 02:53:36 0.00B 定义构建参数
ARG TARGETARCH
# 2024-11-23 02:53:36 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.5.1.17-1
# 2024-11-23 02:53:36 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
# 2024-11-23 02:53:36 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.5.1.17-1
# 2024-11-23 02:22:34 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2024-11-23 02:22:34 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2024-11-23 02:22:34 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2024-11-23 02:22:34 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2024-11-23 02:22:34 262.96KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2024-11-23 02:22:34 2.14GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-6=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-6=${NV_NVTX_VERSION} libcusparse-12-6=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-11-23 02:22:34 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-11-23 02:22:34 0.00B 定义构建参数
ARG TARGETARCH
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.23.4-1+cuda12.6
# 2024-11-23 02:22:34 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.23.4-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.23.4-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.4.1-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.6.4.1-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.4.2-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.1.54-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.6.77-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.3-1
# 2024-11-23 02:20:17 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2024-11-23 02:20:17 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2024-11-23 02:20:17 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2024-11-23 02:20:17 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2024-11-23 02:20:17 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2024-11-23 02:20:17 46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2024-11-23 02:20:17 161.85MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-6=${NV_CUDA_CUDART_VERSION} cuda-compat-12-6 && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-10-13 05:01:58 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.3
# 2024-10-13 05:01:58 10.60MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-10-13 05:01:58 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-10-13 05:01:58 0.00B 定义构建参数
ARG TARGETARCH
# 2024-10-13 05:01:58 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.77-1
# 2024-10-13 05:01:58 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551
# 2024-10-13 05:01:58 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2024-09-12 00:25:18 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2024-09-12 00:25:17 77.86MB
/bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in /
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:cca8a2d619d33e0aaacd12d1a7a6144dff6394465efc22e9d06c7d271ae31341",
"RepoTags": [
"unsloth/unsloth:2025.8.10-main-repo-pt2.7.0-cu12.6_xformers033-flex_attention-gptoss",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth:2025.8.10-main-repo-pt2.7.0-cu12.6_xformers033-flex_attention-gptoss"
],
"RepoDigests": [
"unsloth/unsloth@sha256:5d6790c2bfbf9102d084c67d47861c6e60a834faf6ba97fe37d5e81cca5ee9ec",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth@sha256:fc0f33a88968573bd779a33f1c9ef123e46fb9dd126ba64a5659c6584c0ea2cb"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-09-03T20:28:42.04473559Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "unsloth:runtimeusers",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"22/tcp": {},
"8888/tcp": {}
},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/opt/conda/bin:/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"NVARCH=x86_64",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=12.6 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551",
"NV_CUDA_CUDART_VERSION=12.6.77-1",
"CUDA_VERSION=12.6.3",
"LD_LIBRARY_PATH=/usr/local/cuda-12.6/lib64:/usr/lib/x86_64-linux-gnu:/opt/conda/lib/python3.11/site-packages/torch/lib:/opt/conda/lib:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.6.3-1",
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