ghcr.io/ggerganov/llama.cpp:full linux/amd64

ghcr.io/ggerganov/llama.cpp:full - 国内下载镜像源 浏览次数:26
这里是镜像ghcr.io/ggerganov/llama.cpp 的描述信息:

LLaMA 是一个由 Google 的研究人员开发的预训练语言模型,旨在通过生成高质量、相关的内容来改善人机对话和文本理解。该模型以其高效的计算性能、广泛的知识覆盖范围以及简单易用的界面而闻名。使用 LLaMA 可以实现各种应用,如智能客服、内容创作、自然语言处理等。

源镜像 ghcr.io/ggerganov/llama.cpp:full
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ggerganov/llama.cpp:full
镜像ID sha256:1e87359d7173821adb15d9ae7729d1c7e6e518e102249eb26c2c6bd550b6d989
镜像TAG full
大小 3.52GB
镜像源 ghcr.io
CMD
启动入口 /app/.devops/tools.sh
工作目录 /app
OS/平台 linux/amd64
浏览量 26 次
贡献者
镜像创建 2024-11-07T21:37:01.512156114Z
同步时间 2024-11-08 14:49
更新时间 2024-11-22 07:41
环境变量
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LLAMA_CURL=1 LC_ALL=C.utf8
镜像标签
ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2024-11-08 23:35

低危漏洞:146 中危漏洞:707 高危漏洞:0 严重漏洞:0

Docker拉取命令 无权限下载?点我修复

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

Containerd拉取命令

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

Shell快速替换命令

sed -i 's#ghcr.io/ggerganov/llama.cpp:full#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ggerganov/llama.cpp:full#' deployment.yaml

Ansible快速分发-Docker

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

Ansible快速分发-Containerd

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

镜像历史

大小 创建时间 层信息
0.00B 2024-11-08 05:37:01 ENTRYPOINT ["/app/.devops/tools.sh"]
0.00B 2024-11-08 05:37:01 ENV LC_ALL=C.utf8
1.74GB 2024-11-08 05:37:01 RUN /bin/sh -c make -j$(nproc) # buildkit
0.00B 2024-11-08 05:37:01 ENV LLAMA_CURL=1
80.15MB 2024-11-08 05:34:36 COPY . . # buildkit
0.00B 2024-11-08 05:34:36 WORKDIR /app
1.20GB 2024-11-08 05:34:35 RUN /bin/sh -c pip install --upgrade pip setuptools wheel && pip install -r requirements.txt # buildkit
983.00B 2024-11-08 05:34:05 COPY requirements requirements # buildkit
505.00B 2024-11-08 05:34:05 COPY requirements.txt requirements.txt # buildkit
427.17MB 2024-11-08 05:34:05 RUN /bin/sh -c apt-get update && apt-get install -y build-essential python3 python3-pip git libcurl4-openssl-dev libgomp1 # buildkit
0.00B 2024-09-12 00:25:18 /bin/sh -c #(nop) CMD ["/bin/bash"]
77.86MB 2024-09-12 00:25:17 /bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in /
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) ARG RELEASE

镜像信息

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            "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
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        ],
        "Cmd": null,
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更多版本

ghcr.io/ggerganov/llama.cpp:server-cuda

linux/amd64 ghcr.io2.73GB2024-09-12 11:55
130

ghcr.io/ggerganov/llama.cpp:server-cuda--b1-7d1a378

linux/amd64 ghcr.io2.32GB2024-11-03 15:07
40

ghcr.io/ggerganov/llama.cpp:server-cuda--b1-a59f8fd

linux/amd64 ghcr.io2.55GB2024-11-03 15:35
53

ghcr.io/ggerganov/llama.cpp:light

linux/amd64 ghcr.io175.71MB2024-11-05 16:15
28

ghcr.io/ggerganov/llama.cpp:full

linux/amd64 ghcr.io3.52GB2024-11-08 14:49
25