logo
docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda
linux/amd64 docker.io

该镜像包含llama.cpp项目的可执行文件及相关依赖,用于快速部署和运行LLaMA系列大语言模型,支持在多种设备上进行高效的模型推理、对话等操作,适配不同架构并优化性能。

489
浏览次数
5.01GB
镜像大小
源镜像
docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda
镜像ID
sha256:8324ee097c1d7fd4456d7cbe40c49950693e2cc05f690f4dc39cbe1a2dc23ccf
镜像 TAG
full-cuda
镜像大小
5.01GB
平台架构
linux/amd64
镜像源
docker.io
CMD
启动入口
/app/tools.sh
工作目录
/app
OS/平台
linux/amd64
镜像创建
2025-10-13T04:59:45.941345357Z
同步时间
2025-10-13 17:40
浏览量
489 次
贡献者
⚙️ 环境变量 22
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVARCH=x86_64 1
NVIDIA_REQUIRE_CUDA=cuda>=12.4 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 2
NV_CUDA_CUDART_VERSION=12.4.99-1 3
NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4 4
CUDA_VERSION=12.4.0 5
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 6
NVIDIA_VISIBLE_DEVICES=all 7
NVIDIA_DRIVER_CAPABILITIES=compute,utility 8
NV_CUDA_LIB_VERSION=12.4.0-1 9
NV_NVTX_VERSION=12.4.99-1 10
NV_LIBNPP_VERSION=12.2.5.2-1 11
NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.2-1 12
NV_LIBCUSPARSE_VERSION=12.3.0.142-1 13
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4 14
NV_LIBCUBLAS_VERSION=12.4.2.65-1 15
NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.2.65-1 16
NV_LIBNCCL_PACKAGE_NAME=libnccl2 17
NV_LIBNCCL_PACKAGE_VERSION=2.20.5-1 18
NCCL_VERSION=2.20.5-1 19
NV_LIBNCCL_PACKAGE=libnccl2=2.20.5-1+cuda12.4 20
NVIDIA_PRODUCT_NAME=CUDA 21
🏷️ 镜像标签 3
KeyValue
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
22.04 org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda  docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda  docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda

Shell快速替换命令

sed -i 's#ghcr.io/ggml-org/llama.cpp:full-cuda#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda#' 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/ghcr.io/ggml-org/llama.cpp:full-cuda && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda  docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda  docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda'

镜像构建历史


# 2025-10-13 12:59:45  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/app/tools.sh"]
                        
# 2025-10-13 12:59:45  1.90GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update     && apt-get install -y     git     python3     python3-pip     && pip install --upgrade pip setuptools wheel     && pip install --break-system-packages -r requirements.txt     && apt autoremove -y     && apt clean -y     && rm -rf /tmp/* /var/tmp/*     && find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete     && find /var/cache -type f -delete # buildkit
                        
# 2025-10-13 12:57:37  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-10-13 12:57:37  447.52MB 复制新文件或目录到容器中
COPY /app/full /app # buildkit
                        
# 2025-10-13 12:57:36  383.01MB 复制新文件或目录到容器中
COPY /app/lib/ /app # buildkit
                        
# 2025-10-09 12:53:36  6.84MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update     && apt-get install -y libgomp1 curl    && apt autoremove -y     && apt clean -y     && rm -rf /tmp/* /var/tmp/*     && find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete     && find /var/cache -type f -delete # buildkit
                        
# 2024-04-05 07:40:07  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-04-05 07:40:07  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-04-05 07:40:07  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-04-05 07:40:07  262.98KB 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
                        
# 2024-04-05 07:40:07  2.03GB 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-12-4=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-4=${NV_NVTX_VERSION}     libcusparse-12-4=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-05 07:40:07  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-05 07:40:07  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.20.5-1+cuda12.4
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.20.5-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.20.5-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.2.65-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.4.2.65-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.3.0.142-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.2-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.5.2-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.4.99-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.0-1
                        
# 2024-04-05 07:36:23  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-04-05 07:36:23  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-04-05 07:36:23  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-04-05 07:36:23  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-04-05 07:36:23  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
                        
# 2024-04-05 07:36:23  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
                        
# 2024-04-05 07:36:23  155.92MB 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-12-4=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.4.0
                        
# 2024-04-05 07:36:11  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_1.1-1_all.deb &&     dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-05 07:36:11  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-05 07:36:11  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.4.99-1
                        
# 2024-04-05 07:36:11  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-02-28 02:52:59  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-02-28 02:52:58  77.86MB 
/bin/sh -c #(nop) ADD file:21c2e8d95909bec6f4acdaf4aed55b44ee13603681f93b152e423e3e6a4a207b in / 
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:8324ee097c1d7fd4456d7cbe40c49950693e2cc05f690f4dc39cbe1a2dc23ccf",
    "RepoTags": [
        "ghcr.io/ggml-org/llama.cpp:full-cuda",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda"
    ],
    "RepoDigests": [
        "ghcr.io/ggml-org/llama.cpp@sha256:3c0440c6a8054f466fde272c1e32a57f3934db8e3f2fd6919ca69108425c9c32",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ghcr.io/ggml-org/llama.cpp@sha256:ddd412bf549df13622eb0267c342b9cd7d04959ed75f378b9910e57443f69ca1"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-10-13T04:59:45.941345357Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "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=12.4 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 brand=tesla,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=geforce,driver\u003e=535,driver\u003c536 brand=geforcertx,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=titan,driver\u003e=535,driver\u003c536 brand=titanrtx,driver\u003e=535,driver\u003c536",
            "NV_CUDA_CUDART_VERSION=12.4.99-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4",
            "CUDA_VERSION=12.4.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.4.0-1",
            "NV_NVTX_VERSION=12.4.99-1",
            "NV_LIBNPP_VERSION=12.2.5.2-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.2-1",
            "NV_LIBCUSPARSE_VERSION=12.3.0.142-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4",
            "NV_LIBCUBLAS_VERSION=12.4.2.65-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.2.65-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.20.5-1",
            "NCCL_VERSION=2.20.5-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.20.5-1+cuda12.4",
            "NVIDIA_PRODUCT_NAME=CUDA"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": [
            "/app/tools.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 5011974879,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/e07640bc1211314cd56156b7fc8fa6ae6b6b44e3454c48fbadefec436c698de8/diff:/var/lib/docker/overlay2/f53c5c6ffa5bf85bfce37b7fcb820b987957411f96edae8b531a10b493815190/diff:/var/lib/docker/overlay2/1f65365635ab9ef5ec5125ee7d6eec5ac7d7e872486767999fbe11561553d9c3/diff:/var/lib/docker/overlay2/098409ad74af5c4d9555497b837f30ffadf2586c562610dc928812ff3aa144b5/diff:/var/lib/docker/overlay2/7f7a77f91efd89c5c046f51f2dc6dc4e6e94b5348923ff3ef71ebe6c474e3684/diff:/var/lib/docker/overlay2/959059feba7e00f07930dc3bb3a617ec6b068a0e20313fb891d3e24c3af8e6e7/diff:/var/lib/docker/overlay2/32e5bba4855a86f2572ed3c50bb9c76b6c7c04a0258355f770de30e4574fa9fa/diff:/var/lib/docker/overlay2/5c57424f6feedfc26b2fbba9c74ba1e0ecf1f817048e23c7ddb9df74fa9e0467/diff:/var/lib/docker/overlay2/461ca7fd6e39d861b2311f1e1433d554d7027501f7e27f291d664f440cb033f9/diff:/var/lib/docker/overlay2/627a195d1725748e224ba0c8d299e8d5a862ad6133982c6458052c6b839f5e4a/diff:/var/lib/docker/overlay2/297b258cb3a6b3147e80550dbc6c3bd5998554552abd02cb3248496dde840bb9/diff:/var/lib/docker/overlay2/53590fc1976ffdc026d2b1570b36addf9b59e2c2a5e053cb70ec6daa7177f59c/diff:/var/lib/docker/overlay2/36afb5f3b33b3915eca7fc7803ea8c9687feff5bf1dafe376b931e39494e6100/diff",
            "MergedDir": "/var/lib/docker/overlay2/f8d31c106db960e1a93276d0ffacc46819ff9506497a5fe987d118aa5c065f85/merged",
            "UpperDir": "/var/lib/docker/overlay2/f8d31c106db960e1a93276d0ffacc46819ff9506497a5fe987d118aa5c065f85/diff",
            "WorkDir": "/var/lib/docker/overlay2/f8d31c106db960e1a93276d0ffacc46819ff9506497a5fe987d118aa5c065f85/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:5498e8c22f6996f25ef193ee58617d5b37e2a96decf22e72de13c3b34e147591",
            "sha256:4cd4079525948900a02a5734090afd1f3e046fc940dc882c55efcaee0a252dd0",
            "sha256:022bf74291b27404b223ba9ee16a7f3fb067253df9c65e23dfb3339800b28dfa",
            "sha256:eeb5315df33c9e700b3b8b8a3cdd1cf11e13c9dd44bfd946e340573478303349",
            "sha256:e942261d196e5e686398e2326c033119112f910191143b0497f13f78c377fa03",
            "sha256:421c5b38d6e056b3eee631bc65e1d2b24cee88b8f858457ec2ed1604b68cdbbb",
            "sha256:520e0f301880ab5ca0650a44703c86d75428b6ece6c3190b8ecd850e55372f60",
            "sha256:700fe921ad1f9a93e69a6a4faec3406f3f51e0f4ab4e9b732a9141261d941a4f",
            "sha256:b0dfaf1ca5c560107272f1e55220f7cef07d30d44ebac56c4cf8c45308538b91",
            "sha256:7679982bf4df27d4a1a1da6ae54f07c50cac56eaa40c0720de5b7025037c41d2",
            "sha256:e6bb00cdce97d7367ea0d630a35085d881db7e4acd66de2e146303c4e2e24573",
            "sha256:c1649506c7226b5b80cab01c8e1b9efaf2fdb67088a5ec84a99b94ccf3b2ac79",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:920ddd746cfef75bfded387a86bc8e222bdca0541e02ef09e63b0000d59adae8"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-10-13T17:38:09.091879742+08:00"
    }
}

更多版本

docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda

linux/amd64 docker.io5.01GB2025-10-13 17:40
488

docker.io/ghcr.io/ggml-org/llama.cpp:full-cuda-b6746

linux/amd64 docker.io5.01GB2025-10-13 17:42
430
检测到您正在使用广告拦截插件,本站为公益站点,依赖广告维持运转 🙏 查看如何关闭 ×