docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04 linux/arm64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04-linuxarm64  docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04-linuxarm64  docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04

Shell快速替换命令

sed -i 's#dustynv/llama_cpp:b5283-r36.4-cu128-24.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04-linuxarm64#' 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/dustynv/llama_cpp:b5283-r36.4-cu128-24.04-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04-linuxarm64  docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04-linuxarm64  docker.io/dustynv/llama_cpp:b5283-r36.4-cu128-24.04'

镜像构建历史

# 2025-05-06 00:03:23  62.34KB 
|8 FORCE_BUILD=off LLAMA_CPP_BRANCH=b5283 LLAMA_CPP_BRANCH_PY=main LLAMA_CPP_FLAGS=-DGGML_CUDA=on -DGGML_CUDA_F16=on -DLLAMA_CURL=on -DGGML_CUDA_FA_ALL_QUANTS=ON -DLLAMA_BUILD_SERVER=ON -DLLAMA_BUILD_EXAMPLES=ON -DLLAMA_BUILD_TESTS=OFF LLAMA_CPP_VERSION=5283 LLAMA_CPP_VERSION_PY=0.3.8 SOURCE_DIR=/opt/llama_cpp_python TMP=/tmp/llama_cpp /bin/sh -c if [ ! -f "$TMP/.llama_cpp" ]; then       echo "FAILED to install llama.cpp $LLAMA_CPP_VERSION";       exit 1;     fi
                        
# 2025-05-06 00:03:22  342.47MB 
|8 FORCE_BUILD=off LLAMA_CPP_BRANCH=b5283 LLAMA_CPP_BRANCH_PY=main LLAMA_CPP_FLAGS=-DGGML_CUDA=on -DGGML_CUDA_F16=on -DLLAMA_CURL=on -DGGML_CUDA_FA_ALL_QUANTS=ON -DLLAMA_BUILD_SERVER=ON -DLLAMA_BUILD_EXAMPLES=ON -DLLAMA_BUILD_TESTS=OFF LLAMA_CPP_VERSION=5283 LLAMA_CPP_VERSION_PY=0.3.8 SOURCE_DIR=/opt/llama_cpp_python TMP=/tmp/llama_cpp /bin/sh -c $TMP/install.sh || $TMP/build.sh || true
                        
# 2025-05-06 00:03:00  4.42KB 
/bin/sh -c #(nop) COPY file:8d42431863726d218c4ec812e3f83ed4d81a182c11449a67c5de4aa4f879b404 in /usr/local/bin/llama_cpp_benchmark.py 
                        
# 2025-05-06 00:03:00  2.15KB 
/bin/sh -c #(nop) COPY multi:8991b91d4ac96d2bf70348e3f78528ade3878b557056ea0d4a67bce7b0a3e764 in /tmp/llama_cpp/ 
                        
# 2025-05-05 20:31:31  0.00B 
/bin/sh -c #(nop)  ARG LLAMA_CPP_VERSION LLAMA_CPP_VERSION_PY LLAMA_CPP_BRANCH LLAMA_CPP_BRANCH_PY LLAMA_CPP_FLAGS FORCE_BUILD=off SOURCE_DIR=/opt/llama_cpp_python TMP=/tmp/llama_cpp
                        
# 2025-04-24 15:35:04  61.46KB 
|2 SUDONIM_PATCH_DIR=off SUDONIM_SOURCE_DIR=/opt/sudonim /bin/sh -c if [ ${SUDONIM_PATCH_DIR} != "off" ]; then         cd ${SUDONIM_SOURCE_DIR}/patches/${SUDONIM_PATCH_DIR} ;         for script in ./*.sh; do             bash $script ;         done     fi
                        
# 2025-04-24 15:35:04  474.00B 
/bin/sh -c #(nop) COPY dir:f567f8065695115e90a628efd3f1c1f926e0f740f025f8864c6cad1832d4c516 in /opt/sudonim/patches/ 
                        
# 2025-04-24 15:35:04  1.78MB 
|2 SUDONIM_PATCH_DIR=off SUDONIM_SOURCE_DIR=/opt/sudonim /bin/sh -c git clone https://github.com/dusty-nv/sudonim ${SUDONIM_SOURCE_DIR} &&     pip3 install -e ${SUDONIM_SOURCE_DIR}
                        
# 2025-04-24 15:34:56  330.00B 
/bin/sh -c #(nop) ADD f56a19b3cf094215744a993384e33caac28ca93811e49c2c0356a8c09b45ab59 in /tmp/sudonim_version.json 
                        
# 2025-04-24 15:34:55  0.00B 
/bin/sh -c #(nop)  ARG SUDONIM_SOURCE_DIR=/opt/sudonim SUDONIM_PATCH_DIR=off
                        
# 2025-04-24 15:34:55  13.57MB 
/bin/sh -c set -ex     && pip3 install         huggingface_hub[cli]         dataclasses         && huggingface-cli --help     && huggingface-downloader --help     && pip3 show huggingface_hub     && python3 -c 'import huggingface_hub; print(huggingface_hub.__version__)'         && apt-get update     && rm -rf /var/lib/apt/lists/*     && apt-get clean
                        
# 2025-04-24 15:34:42  3.48KB 
/bin/sh -c #(nop) COPY file:b9e93da08167ff3d361a60be33029d9e580dcf9c5b7efa3223bc2908fbaac57d in /usr/local/bin/_huggingface-downloader.py 
                        
# 2025-04-24 15:34:42  499.00B 
/bin/sh -c #(nop) COPY file:31583bc005bc47928bcc5337891ac48bf6e3bc3d3bd525b755d487e841b21faf in /usr/local/bin/ 
                        
# 2025-04-24 15:34:42  0.00B 
/bin/sh -c #(nop)  ENV TRANSFORMERS_CACHE=/data/models/huggingface HUGGINGFACE_HUB_CACHE=/data/models/huggingface HF_HOME=/data/models/huggingface
                        
# 2025-04-24 15:34:41  60.05MB 
/bin/sh -c bash /tmp/numpy/install.sh
                        
# 2025-04-24 15:34:33  482.00B 
/bin/sh -c #(nop) COPY file:85e6a5b8709bad26521b8e24657f666cdaec430e7afce1728906776ab07947c2 in /tmp/numpy/ 
                        
# 2025-04-24 15:34:33  0.00B 
/bin/sh -c #(nop)  ENV NUMPY_PACKAGE=numpy NUMPY_VERSION_MAJOR=2
                        
# 2025-04-24 15:34:33  0.00B 
/bin/sh -c #(nop)  ARG NUMPY_PACKAGE=numpy NUMPY_VERSION_MAJOR=2
                        
# 2025-04-24 15:34:33  0.00B 
/bin/sh -c #(nop)  ENV OPENBLAS_CORETYPE=ARMV8
                        
# 2025-04-24 15:34:32  63.03MB 
/bin/sh -c /tmp/cmake/install.sh
                        
# 2025-04-24 15:34:25  373.00B 
/bin/sh -c #(nop) COPY file:424a79e7f0d3b6050533f2c4aa2744b5a3d0c8d5295a86d844cd8e981ccf276c in /tmp/cmake/install.sh 
                        
# 2025-04-21 22:13:27  129.78MB 
|1 TMP=/tmp/python /bin/sh -c $TMP/install.sh
                        
# 2025-04-21 22:12:32  1.97KB 
/bin/sh -c #(nop) COPY file:1e03bb20d3573380c21a34ae324b701e85d56f97fb5bfb176bfd2cb6382c5ce1 in /tmp/python/ 
                        
# 2025-04-21 22:12:32  0.00B 
/bin/sh -c #(nop)  ENV PYTHON_VERSION=3.12 PYTHONFAULTHANDLER=1 PYTHONUNBUFFERED=1 PYTHONIOENCODING=utf-8 PYTHONHASHSEED=random PIP_NO_CACHE_DIR=true PIP_CACHE_PURGE=true PIP_ROOT_USER_ACTION=ignore PIP_DISABLE_PIP_VERSION_CHECK=on PIP_DEFAULT_TIMEOUT=100 PIP_WHEEL_DIR=/opt/wheels PIP_VERBOSE=1 TWINE_NON_INTERACTIVE=1 DEBIAN_FRONTEND=noninteractive PATH=/opt/venv/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-04-21 22:12:32  0.00B 
/bin/sh -c #(nop)  ARG PYTHON_VERSION TMP=/tmp/python
                        
# 2025-04-21 19:03:34  703.45KB 
|3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2404-9.8.0 CUDNN_PACKAGES=libcudnn9-cuda-12 libcudnn9-dev-cuda-12 libcudnn9-samples CUDNN_URL=https://developer.download.nvidia.com/compute/cudnn/9.8.0/local_installers/cudnn-local-tegra-repo-ubuntu2404-9.8.0_1.0-1_arm64.deb /bin/sh -c cd /usr/src/cudnn_samples_v*/conv_sample/ &&     make -j$(nproc)
                        
# 2025-04-21 19:03:21  1.22GB 
|3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2404-9.8.0 CUDNN_PACKAGES=libcudnn9-cuda-12 libcudnn9-dev-cuda-12 libcudnn9-samples CUDNN_URL=https://developer.download.nvidia.com/compute/cudnn/9.8.0/local_installers/cudnn-local-tegra-repo-ubuntu2404-9.8.0_1.0-1_arm64.deb /bin/sh -c echo "Downloading ${CUDNN_DEB}" &&     rm -rf /tmp/cudnn && mkdir /tmp/cudnn && cd /tmp/cudnn &&     wget ${WGET_FLAGS} ${CUDNN_URL} &&     dpkg -i *.deb &&     cp /var/cudnn-*-repo-*/cudnn-*-keyring.gpg /usr/share/keyrings/ &&     apt-get update &&     apt-cache search cudnn &&     apt list --installed | grep 'cuda\|cudnn\|cublas' &&     apt-get install -y --no-install-recommends ${CUDNN_PACKAGES} file &&     rm -rf /var/lib/apt/lists/* &&     apt-get clean &&     dpkg --list | grep cudnn &&     dpkg -P ${CUDNN_DEB} &&     rm -rf /tmp/cudnn
                        
# 2025-04-21 19:01:56  47.27MB 
|3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2404-9.8.0 CUDNN_PACKAGES=libcudnn9-cuda-12 libcudnn9-dev-cuda-12 libcudnn9-samples CUDNN_URL=https://developer.download.nvidia.com/compute/cudnn/9.8.0/local_installers/cudnn-local-tegra-repo-ubuntu2404-9.8.0_1.0-1_arm64.deb /bin/sh -c ls /etc/apt/sources.list.d/ &&     apt-get update &&     apt-cache search cudnn
                        
# 2025-04-21 19:01:49  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_PACKAGES
                        
# 2025-04-21 19:01:49  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_DEB
                        
# 2025-04-21 19:01:49  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_URL
                        
# 2025-04-21 19:01:48  0.00B 
/bin/sh -c #(nop) WORKDIR /
                        
# 2025-04-21 19:01:48  0.00B 
/bin/sh -c #(nop)  ENV NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=all CUDAARCHS=87 CUDA_ARCHITECTURES=87 CUDA_HOME=/usr/local/cuda CUDNN_LIB_PATH=/usr/lib/aarch64-linux-gnu CUDNN_LIB_INCLUDE_PATH=/usr/include CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc CUDA_NVCC_EXECUTABLE=/usr/local/cuda/bin/nvcc CUDACXX=/usr/local/cuda/bin/nvcc TORCH_NVCC_FLAGS=-Xfatbin -compress-all CUDA_BIN_PATH=/usr/local/cuda/bin CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LD_LIBRARY_PATH=/usr/local/cuda/compat:/usr/local/cuda/lib64: DEBIAN_FRONTEND=noninteractive
                        
# 2025-04-21 19:01:48  0.00B 
/bin/sh -c #(nop)  ENV NVCC_PATH=/usr/local/cuda/bin/nvcc
                        
# 2025-04-21 19:01:48  0.00B 
/bin/sh -c #(nop)  ENV CUDA_HOME=/usr/local/cuda
                        
# 2025-04-21 19:01:45  4.30GB 
|5 CUDA_ARCH_LIST=87 CUDA_DEB=cuda-tegra-repo-ubuntu2204-12-8-local CUDA_PACKAGES=cuda-toolkit* CUDA_URL=https://developer.download.nvidia.com/compute/cuda/12.8.1/local_installers/cuda-tegra-repo-ubuntu2204-12-8-local_12.8.1-1_arm64.deb DISTRO=ubuntu2404 /bin/sh -c /tmp/cuda/install.sh
                        
# 2025-04-21 18:59:00  1.36KB 
/bin/sh -c #(nop) COPY file:0259a14a19a16aa974693e2b9b7acd338142217fcffb000c9c7d027c22d9771d in /tmp/cuda/install.sh 
                        
# 2025-04-21 18:59:00  0.00B 
/bin/sh -c #(nop)  ARG CUDA_URL CUDA_DEB CUDA_PACKAGES CUDA_ARCH_LIST DISTRO=ubuntu2004
                        
# 2025-04-21 18:59:00  0.00B 
/bin/sh -c #(nop)  ENV MULTIARCH_URL=https://apt.jetson-ai-lab.dev/multiarch TAR_INDEX_URL=https://apt.jetson-ai-lab.dev/jp6/cu128/24.04 PIP_INDEX_URL=https://pypi.jetson-ai-lab.dev/jp6/cu128 PIP_TRUSTED_HOST= TWINE_REPOSITORY_URL=http://alice:3141/jp6/cu128 TWINE_USERNAME=jp6 TWINE_PASSWORD=NvidiaJetson24 SCP_UPLOAD_URL=jao-51:/dist/jp6/cu128/24.04 SCP_UPLOAD_USER=nvidia SCP_UPLOAD_PASS=nvidia
                        
# 2025-04-21 18:59:00  0.00B 
/bin/sh -c #(nop)  ARG PIP_INDEX_REPO PIP_UPLOAD_REPO PIP_UPLOAD_USER PIP_UPLOAD_PASS PIP_TRUSTED_HOSTS TAR_INDEX_URL MULTIARCH_URL SCP_UPLOAD_URL SCP_UPLOAD_USER SCP_UPLOAD_PASS
                        
# 2025-04-21 18:59:00  2.66KB 
/bin/sh -c #(nop) COPY multi:604af4218d2c26088788b4e95f41b1499210d510044800998bdc4e31c4169982 in /usr/local/bin/ 
                        
# 2025-04-21 18:58:59  793.76MB 
/bin/sh -c set -ex     && apt-get update     && apt-get install -y --no-install-recommends         locales         locales-all         tzdata     && locale-gen en_US $LANG     && update-locale LC_ALL=$LC_ALL LANG=$LANG     && locale         && apt-get install -y --no-install-recommends         build-essential         software-properties-common         apt-transport-https         ca-certificates         lsb-release         pkg-config         gnupg         git         git-lfs         gdb         wget         wget2         curl         nano         zip         unzip         time         sshpass         ssh-client     && apt-get clean     && rm -rf /var/lib/apt/lists/*         && gcc --version     && g++ --version
                        
# 2025-04-21 18:57:15  0.00B 
/bin/sh -c #(nop)  ENV DEBIAN_FRONTEND=noninteractive LANGUAGE=en_US:en LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8 WGET_FLAGS=--quiet --show-progress --progress=bar:force:noscroll --no-check-certificate
                        
# 2025-01-27 12:14:54  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-01-27 12:14:54  100.73MB 
/bin/sh -c #(nop) ADD file:68158f1ff76fd4de9f92666ad22571e6cd11df166255c2814a135773fdd6acd7 in / 
                        
# 2025-01-27 12:14:51  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-01-27 12:14:51  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-01-27 12:14:51  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-01-27 12:14:51  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    ],
    "Parent": "",
    "Comment": "",
    "Created": "2025-05-05T16:03:23.731957936Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "24.0.7",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "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",
            "DEBIAN_FRONTEND=noninteractive",
            "LANGUAGE=en_US:en",
            "LANG=en_US.UTF-8",
            "LC_ALL=en_US.UTF-8",
            "WGET_FLAGS=--quiet --show-progress --progress=bar:force:noscroll --no-check-certificate",
            "MULTIARCH_URL=https://apt.jetson-ai-lab.dev/multiarch",
            "TAR_INDEX_URL=https://apt.jetson-ai-lab.dev/jp6/cu128/24.04",
            "PIP_INDEX_URL=https://pypi.jetson-ai-lab.dev/jp6/cu128",
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            "TWINE_REPOSITORY_URL=http://alice:3141/jp6/cu128",
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            "SCP_UPLOAD_URL=jao-51:/dist/jp6/cu128/24.04",
            "SCP_UPLOAD_USER=nvidia",
            "SCP_UPLOAD_PASS=nvidia",
            "CUDA_HOME=/usr/local/cuda",
            "NVCC_PATH=/usr/local/cuda/bin/nvcc",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=all",
            "CUDAARCHS=87",
            "CUDA_ARCHITECTURES=87",
            "CUDNN_LIB_PATH=/usr/lib/aarch64-linux-gnu",
            "CUDNN_LIB_INCLUDE_PATH=/usr/include",
            "CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc",
            "CUDA_NVCC_EXECUTABLE=/usr/local/cuda/bin/nvcc",
            "CUDACXX=/usr/local/cuda/bin/nvcc",
            "TORCH_NVCC_FLAGS=-Xfatbin -compress-all",
            "CUDA_BIN_PATH=/usr/local/cuda/bin",
            "CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda",
            "LD_LIBRARY_PATH=/usr/local/cuda/compat:/usr/local/cuda/lib64:",
            "PYTHON_VERSION=3.12",
            "PYTHONFAULTHANDLER=1",
            "PYTHONUNBUFFERED=1",
            "PYTHONIOENCODING=utf-8",
            "PYTHONHASHSEED=random",
            "PIP_NO_CACHE_DIR=true",
            "PIP_CACHE_PURGE=true",
            "PIP_ROOT_USER_ACTION=ignore",
            "PIP_DISABLE_PIP_VERSION_CHECK=on",
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            "PIP_WHEEL_DIR=/opt/wheels",
            "PIP_VERBOSE=1",
            "TWINE_NON_INTERACTIVE=1",
            "OPENBLAS_CORETYPE=ARMV8",
            "NUMPY_PACKAGE=numpy",
            "NUMPY_VERSION_MAJOR=2",
            "TRANSFORMERS_CACHE=/data/models/huggingface",
            "HUGGINGFACE_HUB_CACHE=/data/models/huggingface",
            "HF_HOME=/data/models/huggingface"
        ],
        "Cmd": [
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        "Image": "sha256:392287ed45b3f431526933f81533684f4e4856130bb59972afd9b9af90dd2208",
        "Volumes": null,
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    "Architecture": "arm64",
    "Variant": "v8",
    "Os": "linux",
    "Size": 7075305336,
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