docker.io/dustynv/llama_cpp:r36.2.0 linux/arm64

docker.io/dustynv/llama_cpp:r36.2.0 - 国内下载镜像源 浏览次数:33 温馨提示: 这是一个 linux/arm64 系统架构镜像
使用 Docker 镜像 llama_cpp 此镜像基于 C++ 编程语言，用于高性能、高效的编程任务。
源镜像 docker.io/dustynv/llama_cpp:r36.2.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:r36.2.0-linuxarm64
镜像ID sha256:e303a1837ef48fd16f9521da418b3be6195ffbaad229bda92ad4a756e1f69936
镜像TAG r36.2.0-linuxarm64
大小 10.65GB
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 /
OS/平台 linux/arm64
浏览量 33 次
贡献者 tz*******l@gmail.com
镜像创建 2024-09-12T10:24:56.66633515Z
同步时间 2024-11-02 16:10
更新时间 2024-11-19 07:47
环境变量
PATH=/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 TAR_INDEX_URL=http://jetson.webredirect.org:8000/jp6/cu122 PIP_INDEX_URL=http://jetson.webredirect.org/jp6/cu122 PIP_TRUSTED_HOST=jetson.webredirect.org TWINE_REPOSITORY_URL=http://jao-51/jp6/cu122 TWINE_USERNAME=jp6 TWINE_PASSWORD=NvidiaJetson24 SCP_UPLOAD_URL=jao-51:/dist/jp6/cu122 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=3.10 PIP_DISABLE_PIP_VERSION_CHECK=on PIP_DEFAULT_TIMEOUT=100 PYTHONFAULTHANDLER=1 PYTHONUNBUFFERED=1 PYTHONIOENCODING=utf-8 PYTHONHASHSEED=random PIP_NO_CACHE_DIR=off PIP_CACHE_PURGE=true PIP_ROOT_USER_ACTION=ignore TWINE_NON_INTERACTIVE=1 OPENBLAS_CORETYPE=ARMV8 TRANSFORMERS_CACHE=/data/models/huggingface HUGGINGFACE_HUB_CACHE=/data/models/huggingface HF_HOME=/data/models/huggingface
镜像标签
ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令 无权限下载?点我修复 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:r36.2.0-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:r36.2.0-linuxarm64  docker.io/dustynv/llama_cpp:r36.2.0

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:r36.2.0-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:r36.2.0-linuxarm64  docker.io/dustynv/llama_cpp:r36.2.0

Shell快速替换命令 

sed -i 's#dustynv/llama_cpp:r36.2.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:r36.2.0-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:r36.2.0-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:r36.2.0-linuxarm64  docker.io/dustynv/llama_cpp:r36.2.0'

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:r36.2.0-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/llama_cpp:r36.2.0-linuxarm64  docker.io/dustynv/llama_cpp:r36.2.0'

镜像历史

大小 创建时间 层信息
59.93KB 2024-09-12 18:24:56 |4 FORCE_BUILD=on LLAMA_CPP_BRANCH=0.2.90 LLAMA_CPP_FLAGS=-DGGML_CUDA=on -DGGML_CUDA_F16=on -DLLAMA_CURL=on LLAMA_CPP_VERSION=0.2.90 /bin/sh -c mkdir -p /root/.cache && ln -s /data/models/llama.cpp /root/.cache/llama.cpp
1.07GB 2024-09-12 17:59:06 |4 FORCE_BUILD=on LLAMA_CPP_BRANCH=0.2.90 LLAMA_CPP_FLAGS=-DGGML_CUDA=on -DGGML_CUDA_F16=on -DLLAMA_CURL=on LLAMA_CPP_VERSION=0.2.90 /bin/sh -c /tmp/llama_cpp/install.sh || /tmp/llama_cpp/build.sh
4.42KB 2024-09-12 17:41:36 /bin/sh -c #(nop) COPY file:8d42431863726d218c4ec812e3f83ed4d81a182c11449a67c5de4aa4f879b404 in /usr/local/bin/llama_cpp_benchmark.py
1.50KB 2024-09-12 17:41:36 /bin/sh -c #(nop) COPY multi:840cef59beabfabb903dc583297e2442cd95f850180e9f067740ab0044ff7ac4 in /tmp/llama_cpp/
0.00B 2024-09-12 15:53:26 /bin/sh -c #(nop) ARG LLAMA_CPP_VERSION LLAMA_CPP_BRANCH LLAMA_CPP_FLAGS FORCE_BUILD=off
11.34MB 2024-09-12 03:16:43 /bin/sh -c set -ex && pip3 install --no-cache-dir --verbose 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
3.48KB 2024-09-12 03:16:25 /bin/sh -c #(nop) COPY file:b9e93da08167ff3d361a60be33029d9e580dcf9c5b7efa3223bc2908fbaac57d in /usr/local/bin/_huggingface-downloader.py
499.00B 2024-09-12 03:16:25 /bin/sh -c #(nop) COPY file:31583bc005bc47928bcc5337891ac48bf6e3bc3d3bd525b755d487e841b21faf in /usr/local/bin/
0.00B 2024-09-12 03:16:25 /bin/sh -c #(nop) ENV TRANSFORMERS_CACHE=/data/models/huggingface HUGGINGFACE_HUB_CACHE=/data/models/huggingface HF_HOME=/data/models/huggingface
56.19MB 2024-09-12 03:16:23 /bin/sh -c pip3 install --upgrade --force-reinstall --no-cache-dir --verbose 'numpy<2' && pip3 show numpy && python3 -c 'import numpy; print(numpy.__version__)'
0.00B 2024-09-12 03:16:16 /bin/sh -c #(nop) ENV OPENBLAS_CORETYPE=ARMV8
61.17MB 2024-09-12 03:16:16 /bin/sh -c set -ex && pip3 install --upgrade --force-reinstall --no-cache-dir --verbose cmake && cmake --version && which cmake
100.90MB 2024-09-12 03:16:08 |1 PYTHON_VERSION_ARG=3.10 /bin/sh -c /tmp/install_python.sh
1.43KB 2024-09-12 03:15:13 /bin/sh -c #(nop) COPY file:3c6ac14b542e3c363b5fc1cf092f8d51921c5430be5c369498a3f1ebf38eadd5 in /tmp/install_python.sh
0.00B 2024-09-12 03:15:13 /bin/sh -c #(nop) ENV PYTHON_VERSION=3.10 PIP_DISABLE_PIP_VERSION_CHECK=on PIP_DEFAULT_TIMEOUT=100 PYTHONFAULTHANDLER=1 PYTHONUNBUFFERED=1 PYTHONIOENCODING=utf-8 PYTHONHASHSEED=random PIP_NO_CACHE_DIR=off PIP_CACHE_PURGE=true PIP_ROOT_USER_ACTION=ignore TWINE_NON_INTERACTIVE=1 DEBIAN_FRONTEND=noninteractive
0.00B 2024-09-12 03:15:12 /bin/sh -c #(nop) ARG PYTHON_VERSION_ARG
637.90KB 2024-09-12 03:15:11 |3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2204-8.9.4.25 CUDNN_PACKAGES=libcudnn*-dev libcudnn*-samples CUDNN_URL=https://nvidia.box.com/shared/static/ht4li6b0j365ta7b76a6gw29rk5xh8cy.deb /bin/sh -c cd /usr/src/cudnn_samples_v*/conv_sample/ && make -j$(nproc)
2.73GB 2024-09-12 03:14:54 |3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2204-8.9.4.25 CUDNN_PACKAGES=libcudnn*-dev libcudnn*-samples CUDNN_URL=https://nvidia.box.com/shared/static/ht4li6b0j365ta7b76a6gw29rk5xh8cy.deb /bin/sh -c echo "Downloading ${CUDNN_DEB}" && mkdir /tmp/cudnn && cd /tmp/cudnn && wget --quiet --show-progress --progress=bar:force:noscroll ${CUDNN_URL} && dpkg -i *.deb && cp /var/cudnn-local-tegra-repo-*/cudnn-local-tegra-*-keyring.gpg /usr/share/keyrings/ && apt-get update && apt-cache search cudnn && apt-get install -y --no-install-recommends ${CUDNN_PACKAGES} && rm -rf /var/lib/apt/lists/* && apt-get clean && dpkg --list | grep cudnn && dpkg -P ${CUDNN_DEB} && rm -rf /tmp/cudnn
0.00B 2024-09-12 03:12:40 /bin/sh -c #(nop) ARG CUDNN_PACKAGES
0.00B 2024-09-12 03:12:40 /bin/sh -c #(nop) ARG CUDNN_DEB
0.00B 2024-09-12 03:12:40 /bin/sh -c #(nop) ARG CUDNN_URL
0.00B 2024-09-12 03:12:39 /bin/sh -c #(nop) WORKDIR /
0.00B 2024-09-12 03:12:39 /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
0.00B 2024-09-12 03:12:39 /bin/sh -c #(nop) ENV NVCC_PATH=/usr/local/cuda/bin/nvcc
0.00B 2024-09-12 03:12:39 /bin/sh -c #(nop) ENV CUDA_HOME=/usr/local/cuda
5.88GB 2024-09-12 03:12:36 |5 CUDA_ARCH_LIST=87 CUDA_DEB=cuda-tegra-repo-ubuntu2204-12-2-local CUDA_PACKAGES=cuda-toolkit* CUDA_URL=https://nvidia.box.com/shared/static/uvqtun1sc0bq76egarc8wwuh6c23e76e.deb DISTRO=ubuntu2204 /bin/sh -c /tmp/install_cuda.sh
894.00B 2024-09-12 03:07:56 /bin/sh -c #(nop) COPY file:4688f070ce9fd499963f7be4fc8a47addb43e87261c4168cebeebf5923452502 in /tmp/install_cuda.sh
0.00B 2024-09-12 03:07:56 /bin/sh -c #(nop) ARG CUDA_URL CUDA_DEB CUDA_PACKAGES CUDA_ARCH_LIST DISTRO=ubuntu2004
0.00B 2024-09-12 03:07:56 /bin/sh -c #(nop) ENV TAR_INDEX_URL=http://jetson.webredirect.org:8000/jp6/cu122 PIP_INDEX_URL=http://jetson.webredirect.org/jp6/cu122 PIP_TRUSTED_HOST=jetson.webredirect.org TWINE_REPOSITORY_URL=http://jao-51/jp6/cu122 TWINE_USERNAME=jp6 TWINE_PASSWORD=NvidiaJetson24 SCP_UPLOAD_URL=jao-51:/dist/jp6/cu122 SCP_UPLOAD_USER=nvidia SCP_UPLOAD_PASS=nvidia
0.00B 2024-09-12 03:07:55 /bin/sh -c #(nop) ARG PIP_INDEX_REPO PIP_UPLOAD_REPO PIP_UPLOAD_USER PIP_UPLOAD_PASS PIP_TRUSTED_HOSTS TAR_INDEX_URL SCP_UPLOAD_URL SCP_UPLOAD_USER SCP_UPLOAD_PASS
1.77KB 2024-04-08 02:24:04 /bin/sh -c #(nop) COPY file:c151096ecdec41c0e751df4f9131773ddaf0b0074b72388cc344129a04329635 in /usr/local/bin/
672.07MB 2024-04-07 11:56:12 /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 gdb wget curl nano zip unzip time sshpass ssh-client && apt-get clean && rm -rf /var/lib/apt/lists/* && gcc --version && g++ --version
0.00B 2024-03-11 23:46:13 /bin/sh -c #(nop) ENV DEBIAN_FRONTEND=noninteractive LANGUAGE=en_US:en LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8
0.00B 2023-10-05 15:32:22 /bin/sh -c #(nop) CMD ["/bin/bash"]
69.19MB 2023-10-05 15:32:22 /bin/sh -c #(nop) ADD file:f8594e26831508c318e42c8dfd9942041031087b8de1bf3fec11fd75b8b30fd4 in /
0.00B 2023-10-05 15:32:21 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2023-10-05 15:32:21 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-10-05 15:32:21 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-10-05 15:32:20 /bin/sh -c #(nop) ARG RELEASE

镜像信息 

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    "Metadata": {
        "LastTagTime": "2024-11-02T15:57:21.63909897+08:00"
    }
}

更多版本

docker.io/dustynv/llama_cpp:r36.2.0

linux/arm64 docker.io10.65GB2024-11-02 16:10
32