ghcr.io/huggingface/text-generation-inference:3.1.0 linux/amd64

ghcr.io/huggingface/text-generation-inference:3.1.0 - 国内下载镜像源浏览次数:54

用于文本生成的 Hugging Face Inference 镜像。它旨在提供高性能的文本生成服务，优化了延迟和吞吐量。该镜像支持多种模型，并提供了易于使用的 API，方便部署和扩展。

源镜像	ghcr.io/huggingface/text-generation-inference:3.1.0
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-generation-inference:3.1.0
镜像ID	sha256:6724f1647f1b8ab2cfd35aa8a5944ef5ccb7d82a342a8c4c6cdd03918068483a
镜像TAG	3.1.0
大小	12.24GB
镜像源	ghcr.io
CMD
启动入口	/tgi-entrypoint.sh
工作目录	/usr/src
OS/平台	linux/amd64
浏览量	54 次
贡献者
镜像创建	2025-01-31T13:35:29.320141947Z
同步时间	2025-02-11 04:56
更新时间	2025-02-21 17:45

环境变量

PATH=/opt/conda/bin:/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>=12.1 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 NV_CUDA_CUDART_VERSION=12.1.55-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/opt/conda/lib/ NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility CONDA_PREFIX=/opt/conda HF_HOME=/data HF_HUB_ENABLE_HF_TRANSFER=1 PORT=80 UV_SYSTEM_PYTHON=1 EXLLAMA_NO_FLASH_ATTN=1

镜像标签

NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 2025-01-31T13:28:43.167Z: org.opencontainers.image.created Large Language Model Text Generation Inference: org.opencontainers.image.description Apache-2.0: org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name 463228ebfc444f60fa351da34a2ba158af0fe9d8: org.opencontainers.image.revision https://github.com/huggingface/text-generation-inference: org.opencontainers.image.source text-generation-inference: org.opencontainers.image.title https://github.com/huggingface/text-generation-inference: org.opencontainers.image.url 3.1.0: 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: 2025-02-11 05:00

低危漏洞:155

中危漏洞:749

高危漏洞:2

严重漏洞:0

ghcr.io/huggingface/text-generation-inference:3.1.0 (ubuntu 22.04) (ubuntu)

Node.js (node-pkg)

Python (python-pkg)

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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/huggingface/text-generation-inference:3.1.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-generation-inference:3.1.0  ghcr.io/huggingface/text-generation-inference:3.1.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-generation-inference:3.1.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-generation-inference:3.1.0  ghcr.io/huggingface/text-generation-inference:3.1.0

Shell快速替换命令

sed -i 's#ghcr.io/huggingface/text-generation-inference:3.1.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-generation-inference:3.1.0#' 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/huggingface/text-generation-inference:3.1.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-generation-inference:3.1.0  ghcr.io/huggingface/text-generation-inference:3.1.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-generation-inference:3.1.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-generation-inference:3.1.0  ghcr.io/huggingface/text-generation-inference:3.1.0'

镜像构建历史


# 2025-01-31 21:35:29  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/tgi-entrypoint.sh"]
                        
# 2025-01-31 21:35:29  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /tgi-entrypoint.sh # buildkit
                        
# 2025-01-31 21:35:29  135.00B 复制新文件或目录到容器中
COPY ./tgi-entrypoint.sh /tgi-entrypoint.sh # buildkit
                        
# 2025-01-31 21:35:29  6.76MB 复制新文件或目录到容器中
COPY /usr/src/target/release-opt/text-generation-launcher /usr/local/bin/text-generation-launcher # buildkit
                        
# 2025-01-31 21:35:29  38.57MB 复制新文件或目录到容器中
COPY /usr/src/target/release-opt/text-generation-router /usr/local/bin/text-generation-router # buildkit
                        
# 2025-01-31 21:35:29  11.81MB 复制新文件或目录到容器中
COPY /usr/src/target/release-opt/text-generation-benchmark /usr/local/bin/text-generation-benchmark # buildkit
                        
# 2025-01-31 21:24:16  220.15MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends         build-essential         g++         && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-31 21:24:09  0.00B 设置环境变量 EXLLAMA_NO_FLASH_ATTN
ENV EXLLAMA_NO_FLASH_ATTN=1
                        
# 2025-01-31 21:24:09  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/opt/conda/lib/
                        
# 2025-01-31 21:24:09  1.48GB 执行命令并创建新的镜像层
RUN /bin/sh -c cd server &&     make gen-server &&     python -c "from text_generation_server.pb import generate_pb2" &&     pip install -U pip uv &&     uv pip install -e ".[attention, bnb, accelerate, compressed-tensors, marlin, moe, quantize, peft, outlines]" --no-cache-dir # && ENV LD_PRELOAD=/opt/conda/lib/python3.11/site-packages/nvidia/nccl/lib/libnccl.so.2 # buildkit
                        
# 2025-01-31 21:26:12  0.00B 设置环境变量 UV_SYSTEM_PYTHON
ENV UV_SYSTEM_PYTHON=1
                        
# 2025-01-31 21:26:12  0.00B 复制新文件或目录到容器中
COPY server/Makefile server/Makefile # buildkit
                        
# 2025-01-31 21:24:00  2.58MB 复制新文件或目录到容器中
COPY server server # buildkit
                        
# 2025-01-24 08:45:47  13.42KB 复制新文件或目录到容器中
COPY proto proto # buildkit
                        
# 2025-01-24 08:45:47  633.52MB 复制新文件或目录到容器中
COPY /opt/conda/lib/python3.11/site-packages/flashinfer/ /opt/conda/lib/python3.11/site-packages/flashinfer/ # buildkit
                        
# 2025-01-24 02:43:17  23.81MB 复制新文件或目录到容器中
COPY /usr/src/causal-conv1d/build/lib.linux-x86_64-cpython-311/ /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:43:17  183.76MB 复制新文件或目录到容器中
COPY /usr/src/mamba/build/lib.linux-x86_64-cpython-311/ /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:43:17  24.03MB 复制新文件或目录到容器中
COPY /usr/src/lorax-punica/server/punica_kernels/build/lib.linux-x86_64-cpython-311 /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:43:17  41.56MB 复制新文件或目录到容器中
COPY /usr/src/eetq/build/lib.linux-x86_64-cpython-311 /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:43:17  9.71MB 复制新文件或目录到容器中
COPY /usr/src/llm-awq/awq/kernels/build/lib.linux-x86_64-cpython-311 /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:43:17  94.94MB 复制新文件或目录到容器中
COPY /usr/src/exllamav2/build/lib.linux-x86_64-cpython-311 /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:43:17  555.89KB 复制新文件或目录到容器中
COPY /usr/src/build/lib.linux-x86_64-cpython-311 /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:43:17  3.04MB 复制新文件或目录到容器中
COPY /usr/src/build/lib.linux-x86_64-cpython-311 /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:43:17  623.95MB 复制新文件或目录到容器中
COPY /opt/conda/lib/python3.11/site-packages/flash_attn_2_cuda.cpython-311-x86_64-linux-gnu.so /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:19:39  10.74MB 复制新文件或目录到容器中
COPY /usr/src/flash-attention/csrc/rotary/build/lib.linux-x86_64-cpython-311 /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:19:39  725.07MB 复制新文件或目录到容器中
COPY /usr/src/flash-attention/csrc/layer_norm/build/lib.linux-x86_64-cpython-311 /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:19:39  153.86MB 复制新文件或目录到容器中
COPY /usr/src/flash-attention/build/lib.linux-x86_64-cpython-311 /opt/conda/lib/python3.11/site-packages # buildkit
                        
# 2025-01-24 02:03:07  7.62GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2025-01-07 00:06:06  92.55MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends         libssl-dev         ca-certificates         make         curl         git         && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-31 21:26:12  0.00B 设置工作目录为/usr/src
WORKDIR /usr/src
                        
# 2025-01-31 21:26:12  0.00B 设置环境变量 HF_HOME HF_HUB_ENABLE_HF_TRANSFER PORT
ENV HF_HOME=/data HF_HUB_ENABLE_HF_TRANSFER=1 PORT=80
                        
# 2025-01-31 21:26:12  0.00B 设置环境变量 PATH CONDA_PREFIX
ENV PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin CONDA_PREFIX=/opt/conda
                        
# 2023-11-10 13:44:29  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 13:44:29  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 13:44:29  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 13:44:29  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 13:44:29  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 13:44:29  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 13:44:29  149.59MB 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-12-1=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.0
                        
# 2023-11-10 13:44:18  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_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:44:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:44:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.55-1
                        
# 2023-11-10 13:44:18  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 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
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

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    "Id": "sha256:6724f1647f1b8ab2cfd35aa8a5944ef5ccb7d82a342a8c4c6cdd03918068483a",
    "RepoTags": [
        "ghcr.io/huggingface/text-generation-inference:3.1.0",
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    "RepoDigests": [
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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-generation-inference@sha256:9b3e1fa901b744f2bf200ec0832acaff1fe125ab4b9733de9fb8769f0a84de77"
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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-01-31T13:35:29.320141947Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/conda/bin:/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=12.1 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",
            "NV_CUDA_CUDART_VERSION=12.1.55-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
            "CUDA_VERSION=12.1.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/opt/conda/lib/",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "CONDA_PREFIX=/opt/conda",
            "HF_HOME=/data",
            "HF_HUB_ENABLE_HF_TRANSFER=1",
            "PORT=80",
            "UV_SYSTEM_PYTHON=1",
            "EXLLAMA_NO_FLASH_ATTN=1"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/usr/src",
        "Entrypoint": [
            "/tgi-entrypoint.sh"
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        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
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            "org.opencontainers.image.description": "Large Language Model Text Generation Inference",
            "org.opencontainers.image.licenses": "Apache-2.0",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.revision": "463228ebfc444f60fa351da34a2ba158af0fe9d8",
            "org.opencontainers.image.source": "https://github.com/huggingface/text-generation-inference",
            "org.opencontainers.image.title": "text-generation-inference",
            "org.opencontainers.image.url": "https://github.com/huggingface/text-generation-inference",
            "org.opencontainers.image.version": "3.1.0"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 12238796481,
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}

更多版本

ghcr.io/huggingface/text-generation-inference:2.1.1

linux/amd64 ghcr.io10.66GB2024-09-07 04:52

149

ghcr.io/huggingface/text-generation-inference:2.2

linux/amd64 ghcr.io11.37GB2024-09-07 05:20

295

ghcr.io/huggingface/text-generation-inference:2.3.0

linux/amd64 ghcr.io13.75GB2024-09-23 15:50