镜像构建历史
# 2026-05-27 06:36:56 0.00B 设置默认要执行的命令
CMD ["main.py" "--host" "0.0.0.0"]
# 2026-05-27 06:36:56 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["python3"]
# 2026-05-27 06:36:56 0.00B 声明容器运行时监听的端口
EXPOSE map[5000/tcp:{}]
# 2026-05-27 06:36:56 560.78KB 复制新文件或目录到容器中
COPY . . # buildkit
# 2026-05-27 06:36:56 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c rm pyproject.toml # buildkit
# 2026-05-27 06:36:56 52.31KB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir --no-deps .[extras] # buildkit
# 2026-05-27 06:36:54 9.95GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir .[cu12] # buildkit
# 2026-05-27 06:34:52 19.84KB 复制新文件或目录到容器中
COPY pyproject.toml . # buildkit
# 2026-05-27 06:34:52 0.00B 设置工作目录为/app
WORKDIR /app
# 2026-05-27 06:34:52 10.63MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir --upgrade pip # buildkit
# 2026-05-27 06:34:52 0.00B 设置环境变量 PATH
ENV PATH=/opt/venv/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2026-05-27 06:34:50 13.26MB 执行命令并创建新的镜像层
RUN /bin/sh -c python3 -m venv /opt/venv # buildkit
# 2026-05-27 06:34:47 384.64MB 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 build-essential curl ca-certificates python3.12 python3-pip python3.12-venv && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-03-11 06:30:18 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2025-03-11 06:30:18 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2025-03-11 06:30:18 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2025-03-11 06:30:18 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 06:30:18 239.89KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2025-03-11 06:30:18 3.11GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-8=${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 06:30:18 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-03-11 06:30:18 0.00B 定义构建参数
ARG TARGETARCH
# 2025-03-11 06:30:18 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 06:30:18 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
# 2025-03-11 06:30:18 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
# 2025-03-11 06:30:18 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2025-03-11 06:30:18 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 06:30:18 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.4.1-1
# 2025-03-11 06:30:18 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8
# 2025-03-11 06:30:18 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.8.93-1
# 2025-03-11 06:30:18 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 06:30:18 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.100-1
# 2025-03-11 06:30:18 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.90-1
# 2025-03-11 06:30:18 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
# 2025-03-11 06:19:21 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2025-03-11 06:19:21 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2025-03-11 06:19:21 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2025-03-11 06:19:21 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
# 2025-03-11 06:19:21 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 06:19:21 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 06:19:21 203.31MB 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 06:19:07 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.1
# 2025-03-11 06:19:07 16.75MB 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 -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-03-11 06:19:07 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-03-11 06:19:07 0.00B 定义构建参数
ARG TARGETARCH
# 2025-03-11 06:19:07 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.90-1
# 2025-03-11 06:19:07 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 06:19:07 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2025-01-27 12:14:03 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2025-01-27 12:14:03 78.13MB
/bin/sh -c #(nop) ADD file:6df775300d76441aa33f31b22c1afce8dfe35c8ffbc14ef27c27009235b12a95 in /
# 2025-01-27 12:14:00 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=24.04
# 2025-01-27 12:14:00 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2025-01-27 12:14:00 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2025-01-27 12:14:00 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
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"RepoTags": [
"ghcr.io/theroyallab/tabbyapi:latest",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/theroyallab/tabbyapi:latest"
],
"RepoDigests": [
"ghcr.io/theroyallab/tabbyapi@sha256:3a5b38ee498b58260315e769b8277e10ba05e5ba04cdeb3a40225bb8834a5346",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/theroyallab/tabbyapi@sha256:3a5b38ee498b58260315e769b8277e10ba05e5ba04cdeb3a40225bb8834a5346"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-05-26T22:36:56.616988288Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"5000/tcp": {}
},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/opt/venv/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=12.8 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 brand=unknown,driver\u003e=560,driver\u003c561 brand=grid,driver\u003e=560,driver\u003c561 brand=tesla,driver\u003e=560,driver\u003c561 brand=nvidia,driver\u003e=560,driver\u003c561 brand=quadro,driver\u003e=560,driver\u003c561 brand=quadrortx,driver\u003e=560,driver\u003c561 brand=nvidiartx,driver\u003e=560,driver\u003c561 brand=vapps,driver\u003e=560,driver\u003c561 brand=vpc,driver\u003e=560,driver\u003c561 brand=vcs,driver\u003e=560,driver\u003c561 brand=vws,driver\u003e=560,driver\u003c561 brand=cloudgaming,driver\u003e=560,driver\u003c561 brand=unknown,driver\u003e=565,driver\u003c566 brand=grid,driver\u003e=565,driver\u003c566 brand=tesla,driver\u003e=565,driver\u003c566 brand=nvidia,driver\u003e=565,driver\u003c566 brand=quadro,driver\u003e=565,driver\u003c566 brand=quadrortx,driver\u003e=565,driver\u003c566 brand=nvidiartx,driver\u003e=565,driver\u003c566 brand=vapps,driver\u003e=565,driver\u003c566 brand=vpc,driver\u003e=565,driver\u003c566 brand=vcs,driver\u003e=565,driver\u003c566 brand=vws,driver\u003e=565,driver\u003c566 brand=cloudgaming,driver\u003e=565,driver\u003c566",
"NV_CUDA_CUDART_VERSION=12.8.90-1",
"CUDA_VERSION=12.8.1",
"LD_LIBRARY_PATH=/usr/local/cuda/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.8.1-1",
"NV_NVTX_VERSION=12.8.90-1",
"NV_LIBNPP_VERSION=12.3.3.100-1",
"NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1",
"NV_LIBCUSPARSE_VERSION=12.5.8.93-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8",
"NV_LIBCUBLAS_VERSION=12.8.4.1-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.4.1-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1",
"NCCL_VERSION=2.25.1-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8",
"NVIDIA_PRODUCT_NAME=CUDA"
],
"Cmd": [
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"--host",
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],
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/app",
"Entrypoint": [
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"OnBuild": null,
"Labels": {
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"org.opencontainers.image.created": "2026-05-26T22:34:03.748Z",
"org.opencontainers.image.description": "The official API server for Exllama. OAI compatible, lightweight, and fast.",
"org.opencontainers.image.licenses": "AGPL-3.0",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.revision": "510367d1abc9b3a99a0d0afe86116db66c64ff21",
"org.opencontainers.image.source": "https://github.com/theroyallab/tabbyAPI",
"org.opencontainers.image.title": "tabbyAPI",
"org.opencontainers.image.url": "https://github.com/theroyallab/tabbyAPI",
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"GraphDriver": {
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