docker.io/h2oairelease/h2oai-llmstudio-app:latest linux/amd64

docker.io/h2oairelease/h2oai-llmstudio-app:latest - 国内下载镜像源 浏览次数:31

温馨提示:此镜像为latest tag镜像，本站无法保证此版本为最新镜像

```html

这是一个包含 H2O.ai LLMStudio 应用的 Docker 镜像。H2O.ai LLMStudio 是一个用于构建、部署和管理大型语言模型 (LLM) 的平台。

```
源镜像 docker.io/h2oairelease/h2oai-llmstudio-app:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/h2oairelease/h2oai-llmstudio-app:latest
镜像ID sha256:b34c98ddd991e364b8ded6379d2752d5e224bbd242a8ee05eb11cf9e10caeffb
镜像TAG latest
大小 23.27GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /workspace/entrypoint.sh
工作目录 /workspace
OS/平台 linux/amd64
浏览量 31 次
贡献者 li******u@ruijie.com.cn
镜像创建 2024-09-26T14:00:11.74322244Z
同步时间 2025-03-27 00:49
更新时间 2025-03-31 09:39
开放端口
10101/tcp
环境变量
PATH=/workspace/.venv/bin:/home/llmstudio/.local/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>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 NV_CUDA_CUDART_VERSION=12.1.55-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.1.0-1 NV_NVTX_VERSION=12.1.66-1 NV_LIBNPP_VERSION=12.0.2.50-1 NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1 NV_LIBCUSPARSE_VERSION=12.0.2.55-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1 NV_LIBCUBLAS_VERSION=12.1.0.26-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1 NCCL_VERSION=2.17.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1 NVIDIA_PRODUCT_NAME=CUDA NVIDIA_CUDA_END_OF_LIFE=1 NV_CUDA_CUDART_DEV_VERSION=12.1.55-1 NV_NVML_DEV_VERSION=12.1.55-1 NV_LIBCUSPARSE_DEV_VERSION=12.0.2.55-1 NV_LIBNPP_DEV_VERSION=12.0.2.50-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.0.2.50-1 NV_LIBCUBLAS_DEV_VERSION=12.1.0.26-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.0.26-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.0-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.0-1 NV_NVPROF_VERSION=12.1.55-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.55-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs HOME=/home/llmstudio PIPENV_VENV_IN_PROJECT=1 H2O_LLM_STUDIO_WORKDIR=/home/llmstudio/mount H2O_LLM_STUDIO_DEMO_DATASETS=/workspace/demo HF_HUB_DISABLE_TELEMETRY=1 DO_NOT_TRACK=1 H2O_WAVE_APP_ADDRESS=http://127.0.0.1:8756 H2O_WAVE_MAX_REQUEST_SIZE=25MB H2O_WAVE_NO_LOG=true H2O_WAVE_PRIVATE_DIR=/download/@/home/llmstudio/mount/output/download
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
站长正在求职，如果你有北京Linux运维或运维开发的工作机会请联系我🙇‍ 点击了解更多🤗

Docker拉取命令 无权限下载?点我修复 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/h2oairelease/h2oai-llmstudio-app:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/h2oairelease/h2oai-llmstudio-app:latest  docker.io/h2oairelease/h2oai-llmstudio-app:latest

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/h2oairelease/h2oai-llmstudio-app:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/h2oairelease/h2oai-llmstudio-app:latest  docker.io/h2oairelease/h2oai-llmstudio-app:latest

Shell快速替换命令 

sed -i 's#h2oairelease/h2oai-llmstudio-app:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/h2oairelease/h2oai-llmstudio-app:latest#' 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/h2oairelease/h2oai-llmstudio-app:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/h2oairelease/h2oai-llmstudio-app:latest  docker.io/h2oairelease/h2oai-llmstudio-app:latest'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/h2oairelease/h2oai-llmstudio-app:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/h2oairelease/h2oai-llmstudio-app:latest  docker.io/h2oairelease/h2oai-llmstudio-app:latest'

镜像构建历史 


# 2024-09-26 22:00:11  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/workspace/entrypoint.sh"]
                        
# 2024-09-26 22:00:11  0.00B 声明容器运行时监听的端口
EXPOSE map[10101/tcp:{}]
                        
# 2024-09-26 22:00:11  0.00B 指定运行容器时使用的用户
USER llmstudio
                        
# 2024-09-26 22:00:11  103.00B 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c chmod 755 /workspace/entrypoint.sh # buildkit
                        
# 2024-09-26 22:00:11  3.85GB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c chmod -R 777 /home/llmstudio # buildkit
                        
# 2024-09-26 21:59:52  0.00B 指定运行容器时使用的用户
USER root
                        
# 2024-09-26 21:59:52  0.00B 设置环境变量 H2O_WAVE_PRIVATE_DIR
ENV H2O_WAVE_PRIVATE_DIR=/download/@/home/llmstudio/mount/output/download
                        
# 2024-09-26 21:59:52  0.00B 设置环境变量 H2O_WAVE_NO_LOG
ENV H2O_WAVE_NO_LOG=true
                        
# 2024-09-26 21:59:52  0.00B 设置环境变量 H2O_WAVE_MAX_REQUEST_SIZE
ENV H2O_WAVE_MAX_REQUEST_SIZE=25MB
                        
# 2024-09-26 21:59:52  0.00B 设置环境变量 H2O_WAVE_APP_ADDRESS
ENV H2O_WAVE_APP_ADDRESS=http://127.0.0.1:8756
                        
# 2024-09-26 21:59:52  0.00B 设置环境变量 DO_NOT_TRACK
ENV DO_NOT_TRACK=1
                        
# 2024-09-26 21:59:52  0.00B 设置环境变量 HF_HUB_DISABLE_TELEMETRY
ENV HF_HUB_DISABLE_TELEMETRY=1
                        
# 2024-09-26 21:59:52  0.00B 指定运行容器时使用的用户
USER llmstudio
                        
# 2024-09-26 21:59:52  2.21MB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c apt-get purge -y git curl python3.10-distutils software-properties-common     && apt-get autoremove -y     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-09-26 21:59:48  0.00B 指定运行容器时使用的用户
USER root
                        
# 2024-09-26 21:59:48  2.31MB 复制新文件或目录到容器中
COPY . /workspace # buildkit
                        
# 2024-09-26 21:59:48  702.32MB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c python download_default_datasets.py # buildkit
                        
# 2024-09-26 21:59:34  1.58KB 复制新文件或目录到容器中
COPY llm_studio/download_default_datasets.py /workspace/ # buildkit
                        
# 2024-09-26 21:59:34  0.00B 设置环境变量 H2O_LLM_STUDIO_DEMO_DATASETS
ENV H2O_LLM_STUDIO_DEMO_DATASETS=/workspace/demo
                        
# 2024-09-26 21:59:34  0.00B 设置环境变量 H2O_LLM_STUDIO_WORKDIR
ENV H2O_LLM_STUDIO_WORKDIR=/home/llmstudio/mount
                        
# 2024-09-26 21:59:34  0.00B 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c mkdir -p /home/llmstudio/mount # buildkit
                        
# 2024-09-26 21:59:34  0.00B 设置环境变量 PATH
ENV PATH=/workspace/.venv/bin:/home/llmstudio/.local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-09-26 21:59:34  10.28GB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c make setup && chmod -R 777 /workspace/.venv # buildkit
                        
# 2024-09-26 21:56:57  0.00B 设置环境变量 PIPENV_VENV_IN_PROJECT
ENV PIPENV_VENV_IN_PROJECT=1
                        
# 2024-09-26 21:56:57  337.89KB 复制新文件或目录到容器中
COPY Makefile Pipfile Pipfile.lock /workspace/ # buildkit
                        
# 2024-09-26 21:56:57  20.81MB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10 &&     chmod -R a+w /home/llmstudio # buildkit
                        
# 2024-09-26 21:56:53  0.00B 设置环境变量 PATH
ENV PATH=/home/llmstudio/.local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-09-26 21:56:53  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2024-09-26 21:56:53  0.00B 设置环境变量 HOME
ENV HOME=/home/llmstudio
                        
# 2024-09-26 21:56:53  0.00B 指定运行容器时使用的用户
USER llmstudio
                        
# 2024-09-26 21:56:53  658.21KB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c adduser --uid 1999 llmstudio # buildkit
                        
# 2024-09-26 21:56:53  1.37GB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c apt-get update     && apt-get upgrade -y     && apt-get install -y     git     curl     software-properties-common     && add-apt-repository ppa:deadsnakes/ppa     && apt-get update     && apt install -y     python3.10     python3.10-distutils     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-09-26 21:56:53  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2023-11-10 14:02:16  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 14:02:16  385.64KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 14:02:04  4.81GB 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-dev-12-1=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-1=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-1=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-1=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-1=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-1=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 14:02:04  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:02:04  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.55-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.1.55-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.0-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.0-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.0.26-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.1.0.26-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.0.2.50-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.0.2.50-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.0.2.55-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.1.55-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.1.55-1
                        
# 2023-11-10 14:02:04  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
                        
# 2023-11-10 13:49:20  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 13:49:20  0.00B 设置环境变量 NVIDIA_CUDA_END_OF_LIFE
ENV NVIDIA_CUDA_END_OF_LIFE=1
                        
# 2023-11-10 13:49:20  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 13:49:20  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 13:49:20  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-11-10 13:49:20  261.38KB 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
                        
# 2023-11-10 13:49:19  1.99GB 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-12-1=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-1=${NV_NVTX_VERSION}     libcusparse-12-1=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:49:19  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:49:19  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.1.0.26-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.0.2.55-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.0.2.50-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.1.66-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
                        
# 2023-11-10 13:44:29  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 13:44:29  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 13:44:29  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 13:44:29  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-10 13:44:29  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
                        
# 2023-11-10 13:44:29  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
                        
# 2023-11-10 13:44:29  149.59MB 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-12-1=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.0
                        
# 2023-11-10 13:44:18  10.56MB 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_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:44:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:44:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.55-1
                        
# 2023-11-10 13:44:18  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

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    "RepoTags": [
        "h2oairelease/h2oai-llmstudio-app:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/h2oairelease/h2oai-llmstudio-app:latest"
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    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-09-26T14:00:11.74322244Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "llmstudio",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "10101/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/workspace/.venv/bin:/home/llmstudio/.local/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=12.1 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
            "NV_CUDA_CUDART_VERSION=12.1.55-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
            "CUDA_VERSION=12.1.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.1.0-1",
            "NV_NVTX_VERSION=12.1.66-1",
            "NV_LIBNPP_VERSION=12.0.2.50-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1",
            "NV_LIBCUSPARSE_VERSION=12.0.2.55-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1",
            "NV_LIBCUBLAS_VERSION=12.1.0.26-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1",
            "NCCL_VERSION=2.17.1-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NVIDIA_CUDA_END_OF_LIFE=1",
            "NV_CUDA_CUDART_DEV_VERSION=12.1.55-1",
            "NV_NVML_DEV_VERSION=12.1.55-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.0.2.55-1",
            "NV_LIBNPP_DEV_VERSION=12.0.2.50-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.0.2.50-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.1.0.26-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.0.26-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.0-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.0-1",
            "NV_NVPROF_VERSION=12.1.55-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.55-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "HOME=/home/llmstudio",
            "PIPENV_VENV_IN_PROJECT=1",
            "H2O_LLM_STUDIO_WORKDIR=/home/llmstudio/mount",
            "H2O_LLM_STUDIO_DEMO_DATASETS=/workspace/demo",
            "HF_HUB_DISABLE_TELEMETRY=1",
            "DO_NOT_TRACK=1",
            "H2O_WAVE_APP_ADDRESS=http://127.0.0.1:8756",
            "H2O_WAVE_MAX_REQUEST_SIZE=25MB",
            "H2O_WAVE_NO_LOG=true",
            "H2O_WAVE_PRIVATE_DIR=/download/@/home/llmstudio/mount/output/download"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/workspace/entrypoint.sh"
        ],
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        "Labels": {
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}

更多版本

docker.io/h2oairelease/h2oai-llmstudio-app:latest

linux/amd64 docker.io23.27GB2025-03-27 00:49
30