docker.io/zxwei/mineru-api-full:v2.1.11 linux/amd64

docker.io/zxwei/mineru-api-full:v2.1.11 - 国内下载镜像源 浏览次数:13

该镜像 docker.io/zxwei/mineru-api-full 包含了Mineru API的完整版本,提供全功能的API服务。

源镜像 docker.io/zxwei/mineru-api-full:v2.1.11
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api-full:v2.1.11
镜像ID sha256:19356b7381bd7103e3c55610b1230828901ae91ac12a55907ebddc772ca8e8fb
镜像TAG v2.1.11
大小 29.94GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD ./start_with_env.sh
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /app
OS/平台 linux/amd64
浏览量 13 次
贡献者 hi*****n@qq.com
镜像创建 2025-08-07T08:03:42.548533767Z
同步时间 2025-08-27 02:47
更新时间 2025-08-27 17:13
开放端口
30000/tcp 8888/tcp
环境变量
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS= _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0 NCCL_VERSION=2.23.4 CUBLAS_VERSION=12.6.4.1 CUFFT_VERSION=11.3.0.4 CURAND_VERSION=10.3.7.77 CUSPARSE_VERSION=12.5.4.2 CUSPARSELT_VERSION=0.6.3.2 CUSOLVER_VERSION=11.7.1.2 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.54 NVJPEG_VERSION=12.3.3.54 CUDNN_VERSION=9.6.0.74 CUDNN_FRONTEND_VERSION=1.8.0 TRT_VERSION=10.7.0.23 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2024.7.1.84 NSIGHT_COMPUTE_VERSION=2024.3.2.3 DALI_VERSION=1.44.0 DALI_BUILD=20402542 POLYGRAPHY_VERSION=0.49.13 TRANSFORMER_ENGINE_VERSION=1.13 MODEL_OPT_VERSION=0.21.0 LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video NVIDIA_PRODUCT_NAME=Triton Server Base GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.21 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=39.0 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 OPAL_PREFIX=/opt/hpcx/ompi OMPI_MCA_coll_hcoll_enable=0 LIBRARY_PATH=/usr/local/cuda/lib64/stubs: NVIDIA_TRITON_SERVER_BASE_VERSION=24.12 NVIDIA_BUILD_ID=128719878 DEBIAN_FRONTEND=interactive TZ=Asia/Shanghai MINERU_MODEL_SOURCE=huggingface HF_HUB_CACHE=/app/models/huggingface MODELSCOPE_CACHE=/app/models/modelscope MINERU_MODELS_DIR=/app/models PYTHONPATH=/app INSTALL_TYPE=all API_PORT=8888 SGLANG_PORT=30000 SGLANG_HOST=0.0.0.0 SGLANG_TP_SIZE=1 SGLANG_DP_SIZE=1 SGLANG_MEM_FRACTION_STATIC=0.9 SGLANG_ENABLE_TORCH_COMPILE=false SGLANG_MAX_SEQ_LEN=8192 SGLANG_BATCH_SIZE=32 STARTUP_WAIT_TIME=15 LOG_LEVEL=INFO VERBOSE=false
镜像标签
2025-08-07T08:01:47Z: build.date 91f9fc61: build.git-commit v2.1.10-offline: build.version 12.6.4.1: com.nvidia.cublas.version 9.0: com.nvidia.cuda.version 9.6.0.74: com.nvidia.cudnn.version 11.3.0.4: com.nvidia.cufft.version 10.3.7.77: com.nvidia.curand.version 11.7.1.2: com.nvidia.cusolver.version 12.5.4.2: com.nvidia.cusparse.version 0.6.3.2: com.nvidia.cusparselt.version 2.0.2.5: com.nvidia.cutensor.version 2.23.4: com.nvidia.nccl.version 12.3.1.54: com.nvidia.npp.version 2024.3.2.3: com.nvidia.nsightcompute.version 2024.7.1.84: com.nvidia.nsightsystems.version 12.3.3.54: com.nvidia.nvjpeg.version 10.7.0.23: com.nvidia.tensorrt.version : com.nvidia.tensorrtoss.version nvidia_driver: com.nvidia.volumes.needed MinerU with SGLang integration for document parsing: description KnowFlow Team: maintainer ubuntu: org.opencontainers.image.ref.name 24.04: org.opencontainers.image.version 0.4.7: sglang.version 2.1.10: version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api-full:v2.1.11
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api-full:v2.1.11  docker.io/zxwei/mineru-api-full:v2.1.11

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api-full:v2.1.11
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api-full:v2.1.11  docker.io/zxwei/mineru-api-full:v2.1.11

Shell快速替换命令

sed -i 's#zxwei/mineru-api-full:v2.1.11#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api-full:v2.1.11#' 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/zxwei/mineru-api-full:v2.1.11 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api-full:v2.1.11  docker.io/zxwei/mineru-api-full:v2.1.11'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api-full:v2.1.11 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api-full:v2.1.11  docker.io/zxwei/mineru-api-full:v2.1.11'

镜像构建历史


# 2025-08-07 16:03:42  0.00B 设置默认要执行的命令
CMD ["./start_with_env.sh"]
                        
# 2025-08-07 16:03:42  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl -f http://localhost:$API_PORT/health || exit 1"] "30s" "10s" "1m30s" "0s" '\x03'}
                        
# 2025-08-07 16:03:42  0.00B 声明容器运行时监听的端口
EXPOSE map[30000/tcp:{} 8888/tcp:{}]
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 VERBOSE
ENV VERBOSE=false
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 LOG_LEVEL
ENV LOG_LEVEL=INFO
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 STARTUP_WAIT_TIME
ENV STARTUP_WAIT_TIME=15
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 SGLANG_BATCH_SIZE
ENV SGLANG_BATCH_SIZE=32
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 SGLANG_MAX_SEQ_LEN
ENV SGLANG_MAX_SEQ_LEN=8192
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 SGLANG_ENABLE_TORCH_COMPILE
ENV SGLANG_ENABLE_TORCH_COMPILE=false
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 SGLANG_MEM_FRACTION_STATIC
ENV SGLANG_MEM_FRACTION_STATIC=0.9
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 SGLANG_DP_SIZE
ENV SGLANG_DP_SIZE=1
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 SGLANG_TP_SIZE
ENV SGLANG_TP_SIZE=1
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 SGLANG_HOST
ENV SGLANG_HOST=0.0.0.0
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 SGLANG_PORT
ENV SGLANG_PORT=30000
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 API_PORT
ENV API_PORT=8888
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 INSTALL_TYPE
ENV INSTALL_TYPE=all
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 MODELSCOPE_CACHE
ENV MODELSCOPE_CACHE=/app/models/modelscope
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 HF_HUB_CACHE
ENV HF_HUB_CACHE=/app/models/huggingface
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 MINERU_MODELS_DIR
ENV MINERU_MODELS_DIR=/app/models
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 MINERU_MODEL_SOURCE
ENV MINERU_MODEL_SOURCE=huggingface
                        
# 2025-08-07 16:03:42  0.00B 设置环境变量 PYTHONPATH
ENV PYTHONPATH=/app
                        
# 2025-08-07 16:03:42  8.95GB 执行命令并创建新的镜像层
RUN |2 MINERU_VERSION=2.1.10 MODEL_SOURCE=huggingface /bin/sh -c python3 download_models.py # buildkit
                        
# 2025-08-07 16:02:00  0.00B 执行命令并创建新的镜像层
RUN |2 MINERU_VERSION=2.1.10 MODEL_SOURCE=huggingface /bin/sh -c mkdir -p /app/models/huggingface /app/models/modelscope /app/models/pipeline /app/models/vlm # buildkit
                        
# 2025-08-07 16:02:00  0.00B 设置环境变量 MINERU_MODELS_DIR
ENV MINERU_MODELS_DIR=/app/models
                        
# 2025-08-07 16:02:00  0.00B 设置环境变量 MODELSCOPE_CACHE
ENV MODELSCOPE_CACHE=/app/models/modelscope
                        
# 2025-08-07 16:02:00  0.00B 设置环境变量 HF_HUB_CACHE
ENV HF_HUB_CACHE=/app/models/huggingface
                        
# 2025-08-07 16:02:00  0.00B 设置环境变量 MINERU_MODEL_SOURCE
ENV MINERU_MODEL_SOURCE=huggingface
                        
# 2025-08-07 16:02:00  1.36KB 复制新文件或目录到容器中
COPY download_models.py /app/ # buildkit
                        
# 2025-08-07 16:02:00  17.48KB 复制新文件或目录到容器中
COPY app.py /app/ # buildkit
                        
# 2025-08-07 15:24:43  3.66KB 执行命令并创建新的镜像层
RUN |2 MINERU_VERSION=2.1.10 MODEL_SOURCE=huggingface /bin/sh -c chmod +x  start_with_env.sh # buildkit
                        
# 2025-08-07 15:24:43  3.66KB 复制新文件或目录到容器中
COPY start_with_env.sh /app/ # buildkit
                        
# 2025-08-07 15:24:43  1.99KB 复制新文件或目录到容器中
COPY .env.example /app/ # buildkit
                        
# 2025-08-07 15:24:43  1.10GB 执行命令并创建新的镜像层
RUN |2 MINERU_VERSION=2.1.10 MODEL_SOURCE=huggingface /bin/sh -c python3 -m pip install -U "mineru[all]==${MINERU_VERSION}" --break-system-packages &&     python3 -m pip install -r requirements.txt --break-system-packages # buildkit
                        
# 2025-08-07 15:20:53  325.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2025-08-07 15:20:53  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-08-07 15:20:53  104.00B 执行命令并创建新的镜像层
RUN |2 MINERU_VERSION=2.1.10 MODEL_SOURCE=huggingface /bin/sh -c pip3 config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple &&     pip3 config set global.trusted-host pypi.tuna.tsinghua.edu.cn # buildkit
                        
# 2025-08-07 15:20:53  307.95MB 执行命令并创建新的镜像层
RUN |2 MINERU_VERSION=2.1.10 MODEL_SOURCE=huggingface /bin/sh -c apt-get update && apt-get install -y     libgl1     libgl1-mesa-dev     libglib2.0-0     libsm6     libxext6     libxrender-dev     libgomp1     libgstreamer1.0-0     libgstreamer-plugins-base1.0-0     git     wget     curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-08-07 15:20:26  47.00B 执行命令并创建新的镜像层
RUN |2 MINERU_VERSION=2.1.10 MODEL_SOURCE=huggingface /bin/sh -c ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone # buildkit
                        
# 2025-08-07 15:20:26  0.00B 设置环境变量 TZ
ENV TZ=Asia/Shanghai
                        
# 2025-08-07 15:20:26  0.00B 添加元数据标签
LABEL sglang.version=0.4.7
                        
# 2025-08-07 15:20:26  0.00B 添加元数据标签
LABEL version=2.1.10
                        
# 2025-08-07 15:20:26  0.00B 添加元数据标签
LABEL description=MinerU with SGLang integration for document parsing
                        
# 2025-08-07 15:20:26  0.00B 添加元数据标签
LABEL maintainer=KnowFlow Team
                        
# 2025-08-07 15:20:26  0.00B 定义构建参数
ARG MODEL_SOURCE=huggingface
                        
# 2025-08-07 15:20:26  0.00B 定义构建参数
ARG MINERU_VERSION=2.1.10
                        
# 2025-06-10 17:49:28  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=interactive
                        
# 2025-06-10 17:49:28  10.57GB 执行命令并创建新的镜像层
RUN |2 BUILD_TYPE=all CUDA_VERSION=12.4.1 /bin/sh -c python3 -m pip install --upgrade pip setuptools wheel html5lib six --break-system-packages --ignore-installed     && git clone --depth=1 https://github.com/sgl-project/sglang.git     && if [ "$CUDA_VERSION" = "12.1.1" ]; then          export CUINDEX=121;        elif [ "$CUDA_VERSION" = "12.4.1" ]; then          export CUINDEX=124;        elif [ "$CUDA_VERSION" = "12.8.1" ]; then          export CUINDEX=124;        elif [ "$CUDA_VERSION" = "11.8.0" ]; then          export CUINDEX=118;          python3 -m pip install --no-cache-dir sgl-kernel -i https://docs.sglang.ai/whl/cu118 --break-system-packages;        else          echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1;        fi     && if [ "$CUDA_VERSION" = "12.4.1" ]; then          python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu126 --break-system-packages;        else          python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu${CUINDEX} --break-system-packages;        fi     && cd sglang     && python3 -m pip --no-cache-dir install -e "python[${BUILD_TYPE}]" --break-system-packages     && if [ "$CUDA_VERSION" = "12.8.1" ]; then          python3 -m pip install nvidia-nccl-cu12==2.26.2.post1 --force-reinstall --no-deps --break-system-packages;        fi # buildkit
                        
# 2025-06-10 17:46:27  0.00B 定义构建参数
ARG CUDA_VERSION=12.4.1
                        
# 2025-06-10 17:46:27  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2025-06-10 17:46:27  32.52MB 执行命令并创建新的镜像层
RUN |1 BUILD_TYPE=all /bin/sh -c pip3 install datamodel_code_generator --break-system-packages # buildkit
                        
# 2025-06-10 17:46:23  266.68MB 执行命令并创建新的镜像层
RUN |1 BUILD_TYPE=all /bin/sh -c echo 'tzdata tzdata/Areas select America' | debconf-set-selections     && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections     && apt update -y     && apt install software-properties-common -y     && apt install python3 python3-pip -y     && apt install curl git sudo libibverbs-dev -y     && apt install rdma-core infiniband-diags openssh-server perftest -y     && python3 --version     && python3 -m pip --version     && rm -rf /var/lib/apt/lists/*     && apt clean # buildkit
                        
# 2025-06-10 17:46:23  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-06-10 17:46:23  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2024-12-16 17:07:45  106.00B 执行命令并创建新的镜像层
RUN |2 NVIDIA_TRITON_SERVER_BASE_VERSION=24.12 NVIDIA_BUILD_ID=128719878 /bin/sh -c sed 's/Server/Server Base/' /opt/nvidia/entrypoint.d/10-banner.txt |     sed 's/^===/========/' > /opt/nvidia/entrypoint.d/10-banner.new &&     mv /opt/nvidia/entrypoint.d/10-banner.new /opt/nvidia/entrypoint.d/10-banner.txt # buildkit
                        
# 2024-12-16 17:07:44  733.00B 复制新文件或目录到容器中
COPY docker/entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-12-16 17:07:44  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=Triton Server Base
                        
# 2024-12-16 17:07:44  0.00B 设置环境变量 NVIDIA_BUILD_ID
ENV NVIDIA_BUILD_ID=128719878
                        
# 2024-12-16 17:07:44  0.00B 设置环境变量 NVIDIA_TRITON_SERVER_BASE_VERSION
ENV NVIDIA_TRITON_SERVER_BASE_VERSION=24.12
                        
# 2024-12-16 17:07:44  0.00B 定义构建参数
ARG NVIDIA_BUILD_ID
                        
# 2024-12-16 17:07:44  0.00B 定义构建参数
ARG NVIDIA_TRITON_SERVER_BASE_VERSION
                        
# 2024-12-06 05:25:02  39.59KB 执行命令并创建新的镜像层
RUN |9 GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.21 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 /bin/sh -c if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then            echo "/opt/amazon/aws-ofi-nccl/lib" > /etc/ld.so.conf.d/aws-ofi-nccl.conf       && ldconfig;                                                 fi # buildkit
                        
# 2024-12-06 05:25:02  934.87KB 复制新文件或目录到容器中
COPY /opt/amazon/aws-ofi-nccl /opt/amazon/aws-ofi-nccl # buildkit
                        
# 2024-12-06 05:24:49  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2024-12-06 05:24:49  1.01GB 执行命令并创建新的镜像层
RUN |9 GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.21 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 /bin/sh -c export DEVEL=1 BASE=0  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUDA.sh  && /nvidia/build-scripts/installLIBS.sh  && if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then /nvidia/build-scripts/installNCCL.sh; fi  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installCUTENSOR.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi  && rm -f /tmp/cuda-*.patch # buildkit
                        
# 2024-12-06 05:22:26  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2024-12-06 05:22:26  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2024-12-06 05:22:26  0.00B 设置环境变量 OPAL_PREFIX PATH
ENV OPAL_PREFIX=/opt/hpcx/ompi PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin
                        
# 2024-12-06 05:22:26  226.69MB 执行命令并创建新的镜像层
RUN |9 GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.21 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 /bin/sh -c cd /nvidia  && ( export DEBIAN_FRONTEND=noninteractive        && apt-get update                            && apt-get install -y --no-install-recommends              libibverbs1                                  libibverbs-dev                               librdmacm1                                   librdmacm-dev                                libibumad3                                   libibumad-dev                                ibverbs-utils                                ibverbs-providers                     && rm -rf /var/lib/apt/lists/*               && rm $(dpkg-query -L                                    libibverbs-dev                               librdmacm-dev                                libibumad-dev                            | grep "\(\.so\|\.a\)$")          )                                            && ( cd opt/gdrcopy/                              && dpkg -i libgdrapi_*.deb                   )                                         && ( cp -r opt/hpcx /opt/                                         && cp etc/ld.so.conf.d/hpcx.conf /etc/ld.so.conf.d/          && ln -sf /opt/hpcx/ompi /usr/local/mpi                      && ln -sf /opt/hpcx/ucx  /usr/local/ucx                      && sed -i 's/^\(hwloc_base_binding_policy\) = core$/\1 = none/' /opt/hpcx/ompi/etc/openmpi-mca-params.conf         && sed -i 's/^\(btl = self\)$/#\1/'                             /opt/hpcx/ompi/etc/openmpi-mca-params.conf       )                                                         && ( if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then           cd opt/amazon/efa/                                           && dpkg -i libfabric*.deb                                    && rm /opt/amazon/efa/lib/libfabric.a                        && echo "/opt/amazon/efa/lib" > /etc/ld.so.conf.d/efa.conf;         fi                                                         )                                                         && ldconfig # buildkit
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2024-12-06 05:22:26  0.00B 设置环境变量 GDRCOPY_VERSION HPCX_VERSION MOFED_VERSION OPENUCX_VERSION OPENMPI_VERSION RDMACORE_VERSION EFA_VERSION AWS_OFI_NCCL_VERSION
ENV GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.21 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=39.0 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG AWS_OFI_NCCL_VERSION=1.12.1
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG EFA_VERSION=1.34.0
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG OPENMPI_VERSION=4.1.7
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG OPENUCX_VERSION=1.18.0
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore39.0
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG RDMACORE_VERSION=39.0
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG HPCX_VERSION=2.21
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.4.1
                        
# 2024-12-06 05:22:18  101.49MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         build-essential         git         libglib2.0-0         less         libhwloc15         libnl-route-3-200         libnl-3-dev         libnl-route-3-dev         libnuma-dev         libnuma1         libpmi2-0-dev         nano         numactl         openssh-client         vim         wget  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-12-06 04:58:22  148.72KB 复制新文件或目录到容器中
COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit
                        
# 2024-12-06 04:58:22  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-12-06 04:58:22  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-12-06 04:58:22  16.12KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2024-12-06 04:58:22  0.00B 设置环境变量 PATH LD_LIBRARY_PATH NVIDIA_VISIBLE_DEVICES NVIDIA_DRIVER_CAPABILITIES
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX=
                        
# 2024-12-06 04:58:22  46.00B 执行命令并创建新的镜像层
RUN |24 CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.23.4 CUBLAS_VERSION=12.6.4.1 CUFFT_VERSION=11.3.0.4 CURAND_VERSION=10.3.7.77 CUSPARSE_VERSION=12.5.4.2 CUSOLVER_VERSION=11.7.1.2 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.54 NVJPEG_VERSION=12.3.3.54 CUDNN_VERSION=9.6.0.74 CUDNN_FRONTEND_VERSION=1.8.0 TRT_VERSION=10.7.0.23 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2024.7.1.84 NSIGHT_COMPUTE_VERSION=2024.3.2.3 CUSPARSELT_VERSION=0.6.3.2 DALI_VERSION=1.44.0 DALI_BUILD=20402542 POLYGRAPHY_VERSION=0.49.13 TRANSFORMER_ENGINE_VERSION=1.13 MODEL_OPT_VERSION=0.21.0 /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
                        
# 2024-12-06 04:58:22  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2024-12-06 04:58:22  0.00B 设置环境变量 DALI_VERSION DALI_BUILD POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION MODEL_OPT_VERSION
ENV DALI_VERSION=1.44.0 DALI_BUILD=20402542 POLYGRAPHY_VERSION=0.49.13 TRANSFORMER_ENGINE_VERSION=1.13 MODEL_OPT_VERSION=0.21.0
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG MODEL_OPT_VERSION=0.21.0
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG TRANSFORMER_ENGINE_VERSION=1.13
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG POLYGRAPHY_VERSION=0.49.13
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG DALI_BUILD=20402542
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG DALI_VERSION=1.44.0
                        
# 2024-12-06 04:58:22  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.23.4 com.nvidia.cublas.version=12.6.4.1 com.nvidia.cufft.version=11.3.0.4 com.nvidia.curand.version=10.3.7.77 com.nvidia.cusparse.version=12.5.4.2 com.nvidia.cusparselt.version=0.6.3.2 com.nvidia.cusolver.version=11.7.1.2 com.nvidia.cutensor.version=2.0.2.5 com.nvidia.npp.version=12.3.1.54 com.nvidia.nvjpeg.version=12.3.3.54 com.nvidia.cudnn.version=9.6.0.74 com.nvidia.tensorrt.version=10.7.0.23 com.nvidia.tensorrtoss.version= com.nvidia.nsightsystems.version=2024.7.1.84 com.nvidia.nsightcompute.version=2024.3.2.3
                        
# 2024-12-06 04:58:22  6.50GB 执行命令并创建新的镜像层
RUN |19 CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.23.4 CUBLAS_VERSION=12.6.4.1 CUFFT_VERSION=11.3.0.4 CURAND_VERSION=10.3.7.77 CUSPARSE_VERSION=12.5.4.2 CUSOLVER_VERSION=11.7.1.2 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.54 NVJPEG_VERSION=12.3.3.54 CUDNN_VERSION=9.6.0.74 CUDNN_FRONTEND_VERSION=1.8.0 TRT_VERSION=10.7.0.23 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2024.7.1.84 NSIGHT_COMPUTE_VERSION=2024.3.2.3 CUSPARSELT_VERSION=0.6.3.2 /bin/sh -c /nvidia/build-scripts/installLIBS.sh  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUTENSOR.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -z "${JETPACK_HOST_MOUNTS}" ]; then       /nvidia/build-scripts/installNCCL.sh;     fi; # buildkit
                        
# 2024-12-06 04:57:31  0.00B 设置环境变量 NCCL_VERSION CUBLAS_VERSION CUFFT_VERSION CURAND_VERSION CUSPARSE_VERSION CUSPARSELT_VERSION CUSOLVER_VERSION CUTENSOR_VERSION NPP_VERSION NVJPEG_VERSION CUDNN_VERSION CUDNN_FRONTEND_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION
ENV NCCL_VERSION=2.23.4 CUBLAS_VERSION=12.6.4.1 CUFFT_VERSION=11.3.0.4 CURAND_VERSION=10.3.7.77 CUSPARSE_VERSION=12.5.4.2 CUSPARSELT_VERSION=0.6.3.2 CUSOLVER_VERSION=11.7.1.2 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.54 NVJPEG_VERSION=12.3.3.54 CUDNN_VERSION=9.6.0.74 CUDNN_FRONTEND_VERSION=1.8.0 TRT_VERSION=10.7.0.23 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2024.7.1.84 NSIGHT_COMPUTE_VERSION=2024.3.2.3
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUSPARSELT_VERSION=0.6.3.2
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG NSIGHT_COMPUTE_VERSION=2024.3.2.3
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG NSIGHT_SYSTEMS_VERSION=2024.7.1.84
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG TRTOSS_VERSION=
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG TRT_VERSION=10.7.0.23
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUDNN_FRONTEND_VERSION=1.8.0
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUDNN_VERSION=9.6.0.74
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG NVJPEG_VERSION=12.3.3.54
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG NPP_VERSION=12.3.1.54
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUTENSOR_VERSION=2.0.2.5
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUSOLVER_VERSION=11.7.1.2
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUSPARSE_VERSION=12.5.4.2
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CURAND_VERSION=10.3.7.77
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUFFT_VERSION=11.3.0.4
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUBLAS_VERSION=12.6.4.1
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG NCCL_VERSION=2.23.4
                        
# 2024-12-06 04:57:31  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2024-12-06 04:57:31  0.00B 设置环境变量 _CUDA_COMPAT_PATH ENV BASH_ENV SHELL NVIDIA_REQUIRE_CUDA
ENV _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0
                        
# 2024-12-06 04:57:31  59.18KB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2024-12-06 04:57:31  460.11MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2024-12-06 04:57:24  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= /bin/sh -c if [ -n "${JETPACK_HOST_MOUNTS}" ]; then        echo "/usr/lib/aarch64-linux-gnu/tegra" > /etc/ld.so.conf.d/nvidia-tegra.conf     && echo "/usr/lib/aarch64-linux-gnu/tegra-egl" >> /etc/ld.so.conf.d/nvidia-tegra.conf;     fi # buildkit
                        
# 2024-12-06 04:57:24  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION CUDA_CACHE_DISABLE NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2024-12-06 04:57:24  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS=
                        
# 2024-12-06 04:57:24  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION=560.35.05
                        
# 2024-12-06 04:57:24  0.00B 定义构建参数
ARG CUDA_VERSION=12.6.3.004
                        
# 2024-12-06 04:57:24  330.91MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         apt-utils         build-essential         ca-certificates         curl         libncurses6         libncursesw6         patch         wget         rsync         unzip         jq         gnupg         libtcmalloc-minimal4  && rm -rf /var/lib/apt/lists/*  && echo "hsts=0" > /root/.wgetrc # buildkit
                        
# 2024-11-20 01:29:25  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-11-20 01:29:25  78.12MB 
/bin/sh -c #(nop) ADD file:bcebbf0fddcba5b864d5d267b68dd23bcfb01275e6ec7bcab69bf8b56af14804 in / 
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:19356b7381bd7103e3c55610b1230828901ae91ac12a55907ebddc772ca8e8fb",
    "RepoTags": [
        "zxwei/mineru-api-full:v2.1.11",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api-full:v2.1.11"
    ],
    "RepoDigests": [
        "zxwei/mineru-api-full@sha256:9a98b10dbe740cb6e9cfcc1b77f449d413fa068094cb6c79ce621689c50efefc",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api-full@sha256:9a98b10dbe740cb6e9cfcc1b77f449d413fa068094cb6c79ce621689c50efefc"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-08-07T08:03:42.548533767Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "30000/tcp": {},
            "8888/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin",
            "CUDA_VERSION=12.6.3.004",
            "CUDA_DRIVER_VERSION=560.35.05",
            "CUDA_CACHE_DISABLE=1",
            "NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=",
            "_CUDA_COMPAT_PATH=/usr/local/cuda/compat",
            "ENV=/etc/shinit_v2",
            "BASH_ENV=/etc/bash.bashrc",
            "SHELL=/bin/bash",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=9.0",
            "NCCL_VERSION=2.23.4",
            "CUBLAS_VERSION=12.6.4.1",
            "CUFFT_VERSION=11.3.0.4",
            "CURAND_VERSION=10.3.7.77",
            "CUSPARSE_VERSION=12.5.4.2",
            "CUSPARSELT_VERSION=0.6.3.2",
            "CUSOLVER_VERSION=11.7.1.2",
            "CUTENSOR_VERSION=2.0.2.5",
            "NPP_VERSION=12.3.1.54",
            "NVJPEG_VERSION=12.3.3.54",
            "CUDNN_VERSION=9.6.0.74",
            "CUDNN_FRONTEND_VERSION=1.8.0",
            "TRT_VERSION=10.7.0.23",
            "TRTOSS_VERSION=",
            "NSIGHT_SYSTEMS_VERSION=2024.7.1.84",
            "NSIGHT_COMPUTE_VERSION=2024.3.2.3",
            "DALI_VERSION=1.44.0",
            "DALI_BUILD=20402542",
            "POLYGRAPHY_VERSION=0.49.13",
            "TRANSFORMER_ENGINE_VERSION=1.13",
            "MODEL_OPT_VERSION=0.21.0",
            "LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video",
            "NVIDIA_PRODUCT_NAME=Triton Server Base",
            "GDRCOPY_VERSION=2.4.1",
            "HPCX_VERSION=2.21",
            "MOFED_VERSION=5.4-rdmacore39.0",
            "OPENUCX_VERSION=1.18.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=39.0",
            "EFA_VERSION=1.34.0",
            "AWS_OFI_NCCL_VERSION=1.12.1",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "NVIDIA_TRITON_SERVER_BASE_VERSION=24.12",
            "NVIDIA_BUILD_ID=128719878",
            "DEBIAN_FRONTEND=interactive",
            "TZ=Asia/Shanghai",
            "MINERU_MODEL_SOURCE=huggingface",
            "HF_HUB_CACHE=/app/models/huggingface",
            "MODELSCOPE_CACHE=/app/models/modelscope",
            "MINERU_MODELS_DIR=/app/models",
            "PYTHONPATH=/app",
            "INSTALL_TYPE=all",
            "API_PORT=8888",
            "SGLANG_PORT=30000",
            "SGLANG_HOST=0.0.0.0",
            "SGLANG_TP_SIZE=1",
            "SGLANG_DP_SIZE=1",
            "SGLANG_MEM_FRACTION_STATIC=0.9",
            "SGLANG_ENABLE_TORCH_COMPILE=false",
            "SGLANG_MAX_SEQ_LEN=8192",
            "SGLANG_BATCH_SIZE=32",
            "STARTUP_WAIT_TIME=15",
            "LOG_LEVEL=INFO",
            "VERBOSE=false"
        ],
        "Cmd": [
            "./start_with_env.sh"
        ],
        "Healthcheck": {
            "Test": [
                "CMD-SHELL",
                "curl -f http://localhost:$API_PORT/health || exit 1"
            ],
            "Interval": 30000000000,
            "Timeout": 10000000000,
            "StartPeriod": 90000000000,
            "Retries": 3
        },
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "build.date": "2025-08-07T08:01:47Z",
            "build.git-commit": "91f9fc61",
            "build.version": "v2.1.10-offline",
            "com.nvidia.cublas.version": "12.6.4.1",
            "com.nvidia.cuda.version": "9.0",
            "com.nvidia.cudnn.version": "9.6.0.74",
            "com.nvidia.cufft.version": "11.3.0.4",
            "com.nvidia.curand.version": "10.3.7.77",
            "com.nvidia.cusolver.version": "11.7.1.2",
            "com.nvidia.cusparse.version": "12.5.4.2",
            "com.nvidia.cusparselt.version": "0.6.3.2",
            "com.nvidia.cutensor.version": "2.0.2.5",
            "com.nvidia.nccl.version": "2.23.4",
            "com.nvidia.npp.version": "12.3.1.54",
            "com.nvidia.nsightcompute.version": "2024.3.2.3",
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}

更多版本

docker.io/zxwei/mineru-api-full:2.1.0

linux/amd64 docker.io24.29GB2025-08-03 03:09
252

docker.io/zxwei/mineru-api-full:v2.1.11

linux/amd64 docker.io29.94GB2025-08-27 02:47
12