docker.io/unsloth/unsloth:stable linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth:stable
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth:stable  docker.io/unsloth/unsloth:stable

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth:stable
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth:stable  docker.io/unsloth/unsloth:stable

Shell快速替换命令

sed -i 's#unsloth/unsloth:stable#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth:stable#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth:stable && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth:stable  docker.io/unsloth/unsloth:stable'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth:stable && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth:stable  docker.io/unsloth/unsloth:stable'

镜像构建历史

# 2025-10-10 18:51:21  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]
                        
# 2025-10-10 18:51:21  0.00B 声明容器运行时监听的端口
EXPOSE [22/tcp 8888/tcp]
                        
# 2025-10-10 18:51:21  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-10-10 18:51:20  621.00B 执行命令并创建新的镜像层
RUN |1 CACHE_BREAKER= /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
                        
# 2025-10-10 18:51:18  0.00B 指定运行容器时使用的用户
USER unsloth:runtimeusers
                        
# 2025-10-10 18:51:18  41.26MB 执行命令并创建新的镜像层
RUN |1 CACHE_BREAKER= /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 &&     ln -s /usr/lib/x86_64-linux-gnu/libcuda.so.1 /usr/lib/x86_64-linux-gnu/libcuda.so &&     sudo echo "/usr/lib/x86_64-linux-gnu" > /etc/ld.so.conf.d/cuda.conf &&     ldconfig &&     ssh-keygen -A &&     chmod 600 /etc/ssh/ssh_host_*_key &&     chmod 644 /etc/ssh/ssh_host_*_key.pub # buildkit
                        
# 2025-10-10 18:51:10  2.99KB 复制新文件或目录到容器中
COPY supervisord /etc/init.d/supervisor # buildkit
                        
# 2025-10-10 18:51:09  943.00B 复制新文件或目录到容器中
COPY supervisord.conf /etc/supervisor/conf.d/supervisord.conf # buildkit
                        
# 2025-10-10 18:51:08  40.47MB 复制新文件或目录到容器中
COPY notebooks/ /workspace/unsloth-notebooks/ # buildkit
                        
# 2025-10-02 14:36:21  0.00B 定义构建参数
ARG CACHE_BREAKER
                        
# 2025-10-02 14:36:21  3.29KB 复制新文件或目录到容器中
COPY sshd_config /etc/ssh/sshd_config # buildkit
                        
# 2025-10-02 14:36:21  3.24KB 复制新文件或目录到容器中
COPY --chown=unsloth:runtimeusers entrypoint.sh /usr/local/bin/entrypoint.sh # buildkit
                        
# 2025-10-02 14:36:20  12.84GB 复制新文件或目录到容器中
COPY --chown=unsloth:runtimeusers /opt/conda /opt/conda # buildkit
                        
# 2025-10-02 13:47:36  346.89MB 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 	git 	git-lfs 	ssh         sudo 	curl 	ca-certificates 	build-essential 	acl 	supervisor         nano &&         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 "unsloth ALL=(ALL) NOPASSWD: /bin/mkdir -p /var/run/sshd, /usr/sbin/sshd -D -p 22, /usr/sbin/chpasswd" > /etc/sudoers.d/unsloth-ssh &&     chmod 0440 /etc/sudoers.d/unsloth-ssh &&         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
                        
# 2025-10-02 13:47:36  0.00B 设置环境变量 HF_HOME CONDA_PREFIX PATH HF_HUB_ENABLE_HF_TRANSFER CUDA_HOME LD_LIBRARY_PATH
ENV HF_HOME=/workspace/.cache/huggingface CONDA_PREFIX=/opt/conda PATH=/opt/conda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin HF_HUB_ENABLE_HF_TRANSFER=1 CUDA_HOME=/usr/local/cuda LD_LIBRARY_PATH=/usr/local/cuda-12.8/lib64:/usr/lib/x86_64-linux-gnu:/usr/local/cuda/lib64
                        
# 2025-03-11 07:07:53  1.05GB 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
                        
# 2025-03-11 07:07:53  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.8.0.87-1
                        
# 2025-03-11 07:07:53  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 07:07:53  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 07:07:53  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.8.0.87-1
                        
# 2025-03-11 07:07:53  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2025-03-11 07:07:53  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.8.0.87-1
                        
# 2025-03-11 06:24:31  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-03-11 06:24:31  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-03-11 06:24:31  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-03-11 06:24:31  263.00KB 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
                        
# 2025-03-11 06:24:31  3.11GB 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-12-8=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-8=${NV_NVTX_VERSION}     libcusparse-12-8=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:24:31  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 06:24:31  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.4.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.4.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.8.93-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.100-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.90-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-03-11 06:19:20  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-03-11 06:19:20  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-03-11 06:19:20  203.35MB 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-12-8=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-8     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.1
                        
# 2025-03-11 06:19:05  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
                        
# 2025-03-11 06:19:05  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 06:19:05  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.90-1
                        
# 2025-03-11 06:19:05  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 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>=12.8 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 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-01-26 13:31:11  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-01-26 13:31:10  77.86MB 
/bin/sh -c #(nop) ADD file:1b6c8c9518be42fa2afe5e241ca31677fce58d27cdfa88baa91a65a259be3637 in / 
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:0d937a6bfdb17494803c2d1ce3aba2905300408aad8c8ac36621f0b1bb298751",
    "RepoTags": [
        "unsloth/unsloth:stable",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth:stable"
    ],
    "RepoDigests": [
        "unsloth/unsloth@sha256:190fa398ee98e4708f567dbcdce3caca35500f97cd8f88417e3ec6255f6cdb44",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/unsloth/unsloth@sha256:aeaf5491ceeb3243ddc18e4e627fc55871ba47055e9dd45a7ee78a2a08923019"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-10-10T10:51:21.352162259Z",
    "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": [
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