docker.io/guiji2025/heygem.ai:latest linux/amd64

docker.io/guiji2025/heygem.ai:latest - 国内下载镜像源浏览次数:105

```html

很抱歉，我无法直接访问并获取Docker镜像仓库中的信息，因此无法提供docker.io/guiji2025/heygem.ai镜像的描述信息。

要获取该镜像的描述信息，您需要访问Docker Hub (docker.io) ，搜索该镜像名称，然后查看其页面上的描述。

```

源镜像	docker.io/guiji2025/heygem.ai:latest
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/heygem.ai:latest
镜像ID	sha256:987755f903125a10a717d8df21264449a6c5419a67bf524c82898ae155cba989
镜像TAG	latest
大小	13.48GB
镜像源	docker.io
项目信息	Docker-Hub主页 🚀项目TAG 🚀
CMD	/bin/bash
启动入口
工作目录	/code
OS/平台	linux/amd64
浏览量	105 次
贡献者	54******8@qq.com
镜像创建	2024-09-27T02:26:04.584422754Z
同步时间	2025-04-01 00:42
更新时间	2025-04-19 16:11

开放端口

22/tcp 80/tcp 8383/tcp

环境变量

PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512 PATH=/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>=11.6 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 NV_CUDA_CUDART_VERSION=11.6.55-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-6 CUDA_VERSION=11.6.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility

镜像标签

NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 20.04: 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🤗

阿里云高校计划(￥300代金券)领取

阿里云2核2G高性能云服务器 99元/年❤️

华为云2核4G2M云服务器，惊爆价99元1年

腾讯云2核2G云服务器，惊爆价99元1年

Ucloud 2核2G4M 59元/年❤️ 香港专线400G流量/月服务器 93元/年❤️

硅基流动注册送2000万 Tokens！

GPT人工智能60G学习资料❤️

无权限下载?点我修复生成Docker Run命令

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/heygem.ai:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/heygem.ai:latest  docker.io/guiji2025/heygem.ai:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/heygem.ai:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/heygem.ai:latest  docker.io/guiji2025/heygem.ai:latest

Shell快速替换命令

sed -i 's#guiji2025/heygem.ai:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/heygem.ai: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/guiji2025/heygem.ai:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/heygem.ai:latest  docker.io/guiji2025/heygem.ai: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/guiji2025/heygem.ai:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/heygem.ai:latest  docker.io/guiji2025/heygem.ai:latest'

镜像构建历史


# 2024-09-27 10:26:04  0.00B 
/bin/sh -c rm -rf /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1 /usr/lib/x86_64-linux-gnu/libcuda.so.1 /usr/lib/x86_64-linux-gnu/libcudadebugger.so.1
                        
# 2024-09-27 10:23:28  23.66MB 
/bin/bash
                        
# 2024-09-03 17:00:20  0.00B 
/bin/sh -c rm -rf /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1 /usr/lib/x86_64-linux-gnu/libcuda.so.1 /usr/lib/x86_64-linux-gnu/libcudadebugger.so.1
                        
# 2024-06-11 11:47:00  25.53MB 
/bin/bash
                        
# 2024-04-10 10:15:29  29.31MB 
/bin/bash
                        
# 2024-04-07 12:12:13  58.34MB 
/bin/bash
                        
# 2024-04-01 14:02:44  13.18GB 
/bin/bash
                        
# 2024-03-25 12:25:10  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/sh" "-c" "/usr/sbin/sshd -D"]
                        
# 2024-03-25 12:25:10  0.00B 
/bin/sh -c #(nop)  EXPOSE 80
                        
# 2024-03-25 12:25:10  0.00B 
/bin/sh -c #(nop)  EXPOSE 22
                        
# 2024-03-25 12:25:10  1.98KB 
/bin/sh -c #(nop) COPY dir:4cab297d804c85a48dfa1ba1e6423c62d186fb46d25d800c4d91d1d9a38ba739 in /code 
                        
# 2024-03-25 12:25:10  0.00B 
/bin/sh -c #(nop) WORKDIR /code
                        
# 2023-11-10 15:27:35  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 15:27:35  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 15:27:35  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 15:27:35  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 15:27:35  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 15:27:35  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 15:27:35  62.86MB 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-11-6=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 15:14:46  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.6.1
                        
# 2023-11-10 15:14:46  18.32MB 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/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 15:14:46  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 15:14:46  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 15:14:46  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-6
                        
# 2023-11-10 15:14:46  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.6.55-1
                        
# 2023-11-10 15:14:46  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.6 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
                        
# 2023-11-10 15:14:46  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-03 18:45:52  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-03 18:45:51  72.79MB 
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in / 
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:987755f903125a10a717d8df21264449a6c5419a67bf524c82898ae155cba989",
    "RepoTags": [
        "guiji2025/heygem.ai:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/heygem.ai:latest"
    ],
    "RepoDigests": [
        "guiji2025/heygem.ai@sha256:5203f169b86d7812b02291f0f123116018b7ae6a48909562f63fb747c8c04da2",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/heygem.ai@sha256:5203f169b86d7812b02291f0f123116018b7ae6a48909562f63fb747c8c04da2"
    ],
    "Parent": "",
    "Comment": "",
    "Created": "2024-09-27T02:26:04.584422754Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "26.0.0",
    "Author": "",
    "Config": {
        "Hostname": "7d26f47496dd",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "22/tcp": {},
            "80/tcp": {},
            "8383/tcp": {}
        },
        "Tty": true,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512",
            "PATH=/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=11.6 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",
            "NV_CUDA_CUDART_VERSION=11.6.55-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-6",
            "CUDA_VERSION=11.6.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "sha256:3f4dbe45868a428cfeb9e5900b3522043c2f2f2dfca4bd57e82fdaa54b9ae3f7",
        "Volumes": null,
        "WorkingDir": "/code",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "20.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 13475054685,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/1105ccbfd836b35d8e7b3f0eb04275fb4dccdcdc3bfe0fe9b2daff3b28ed7d56/diff:/var/lib/docker/overlay2/149f90b49db2cec5e27f77dc75f5d442e93a4b63957e73a2e87a11b74036b120/diff:/var/lib/docker/overlay2/37524748611bd502e2c663647bd4a7f91380039756ec45548d4d849eec2da4e3/diff:/var/lib/docker/overlay2/faa9920ea56766668e931a8c0bc4670af91728ce34ed3a7b393a67cadb1ae26b/diff:/var/lib/docker/overlay2/63ce7475f687a6968d16c2f0c1e2e7dea98a4684f7643581a2f94af13150f171/diff:/var/lib/docker/overlay2/70ae1e42acc41500339bc3783576ab4ec278d3bb1efbc14ead08ecb356eab409/diff:/var/lib/docker/overlay2/60ddfff14117fc95cbf04a922b27647f6cbed3cbb6775530c993c4fbda60f34a/diff:/var/lib/docker/overlay2/955caa35a7a8da9dfc9f41e7cca73aa0296db8d162f8fa1dd5bf9fd2ea6b9bfb/diff:/var/lib/docker/overlay2/3be91674471837f51c3a7799511aa9d9da0479ac810b13cac23753556ef4923c/diff:/var/lib/docker/overlay2/d4337e8b9a571a0150631bf38b149b415a7e7a97d33a824d0f3eaff7e8a9d275/diff:/var/lib/docker/overlay2/70a734bfb28db63e9397e780f995c541a73f71594eee0455b61e5e5e7682ff69/diff:/var/lib/docker/overlay2/6f18260b173caf114be3af006ce7d542813fb34825fe0f058f4b7005e2fbe123/diff:/var/lib/docker/overlay2/5408abd3ec726f4d055e10fddd8f488a8839c8a355fe1fb064cdc9fee660e07b/diff",
            "MergedDir": "/var/lib/docker/overlay2/26abe32d2d6837a659fb6806286e5a4584fc456c5fa8af06055a59e76ec276c5/merged",
            "UpperDir": "/var/lib/docker/overlay2/26abe32d2d6837a659fb6806286e5a4584fc456c5fa8af06055a59e76ec276c5/diff",
            "WorkDir": "/var/lib/docker/overlay2/26abe32d2d6837a659fb6806286e5a4584fc456c5fa8af06055a59e76ec276c5/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:6c3e7df31590f02f10cb71fc4eb27653e9b428df2e6e5421a455b062bd2e39f9",
            "sha256:d79e2ee082c89c7902644bfb77571a89da5fc21d916e1f8fcad8109407494c46",
            "sha256:3a0cd334091e1a32d0bd152f002494e1f81b9bf54ac39b3cd088d8e57e67edd8",
            "sha256:9c16cc404f14df9ccd310bd06861ab7d7c8bc907bb53cb89b95da6f0c8038ef4",
            "sha256:048af3c8a607aabd783d96859c7043bedb2e582b17fbf09e2bb542ef0311f096",
            "sha256:aecda767b08d9f011907cf7b8376443f24aa0a075119e92ffd5e3700d1c68898",
            "sha256:c38586b4c1036641cfc22addd35790cf76231177ba1c7c509e67c96c76737b06",
            "sha256:c84de181a4dde8002668237b6a7aa532cac940556d4d847ede0d3ead1de8773a",
            "sha256:228a6d7157cf2eb3ab4f391eb6f5f91aa213b5ee558931ec5d81c6aa6c8cf789",
            "sha256:80cffbb2ee56a3ab9bf29507a305bbff2f9822c3d12342ad882c95de2384a034",
            "sha256:9c6f5ff6115c67035288986da229036b3829b1e767023e5a125ae9d8017c934a",
            "sha256:e1debb44a8b4660e08ca16404d939d8e410183fb8382de00befbe2a51f462ed6",
            "sha256:8d1f733b2be7b4b62f6443d0bd936763aff0aa623dc636d410a931d8f08c451c",
            "sha256:372ee0c124617c31d67b506b25ea808b7fc74be7bff250aad16f1e14a98d36b2"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-04-01T00:42:12.266626245+08:00"
    }
}

更多版本

docker.io/guiji2025/heygem.ai:0.0.7_sdk_slim

linux/amd64 docker.io13.48GB2025-03-12 01:09

300

docker.io/guiji2025/heygem.ai:latest

linux/amd64 docker.io13.48GB2025-04-01 00:42

104