docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8 linux/amd64

docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8 - 国内下载镜像源 浏览次数:8

镜像描述：

lmdeploy

LM Deploy

LM Deploy 是 OpenMMLab 开发的用于模型部署和在线服务构建的工具。它提供了一个简洁易用的界面，帮助用户快速搭建和部署机器学习模型，包括图像分类、检测、分割等任务。在这个镜像中，你可以找到 LM Deploy 的相关组件和配置，以便你在自己的环境中使用和扩展它。

源镜像 docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8
镜像ID sha256:d86f81f067f5ae3988ca1731c402389fe13e428c8043cf58003c5549efd02e15
镜像TAG v0.11.1-cu12.8
大小 11.92GB
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/amd64
浏览量 8 次
贡献者
镜像创建 2025-12-24T14:27:05.985292986Z
同步时间 2026-02-04 01:21
更新时间 2026-02-04 07:18
环境变量
PATH=/opt/py3/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 NV_CUDA_CUDART_VERSION=12.8.90-1 CUDA_VERSION=12.8.1 LD_LIBRARY_PATH=/nccl/lib:/usr/local/cuda/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility CUDA_VERSION_SHORT=cu128 TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
无权限下载?点我修复 生成Docker Run命令 生成Kubernetes YAML资源

Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8  docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8  docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8

Shell快速替换命令 

sed -i 's#openmmlab/lmdeploy:v0.11.1-cu12.8#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8#' 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/openmmlab/lmdeploy:v0.11.1-cu12.8 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8  docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8  docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8'

镜像构建历史 


# 2025-12-24 22:27:05  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/nccl/lib:/usr/local/cuda/lib64
                        
# 2025-12-24 22:27:05  0.00B 设置环境变量 TRITON_PTXAS_PATH
ENV TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas
                        
# 2025-12-24 22:27:05  0.00B 设置环境变量 PATH
ENV PATH=/opt/py3/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-12-24 22:27:05  11.63GB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c /tmp/install.sh # buildkit
                        
# 2025-12-24 21:55:34  4.03KB 复制新文件或目录到容器中
COPY docker/install.sh /tmp/install.sh # buildkit
                        
# 2025-12-24 21:55:34  2.17KB 复制新文件或目录到容器中
COPY requirements /tmp/requirements # buildkit
                        
# 2025-12-24 21:55:34  0.00B 定义构建参数
ARG PYTHON_VERSION=3.10
                        
# 2025-12-24 21:55:34  0.00B 设置环境变量 CUDA_VERSION_SHORT
ENV CUDA_VERSION_SHORT=cu128
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-03-11 06:19:20  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-03-11 06:19:20  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-03-11 06:19:20  203.35MB 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-12-8=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-8     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.1
                        
# 2025-03-11 06:19:05  10.60MB 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
                        
# 2025-03-11 06:19:05  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 06:19:05  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.90-1
                        
# 2025-03-11 06:19:05  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 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>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-01-26 13:31:11  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-01-26 13:31:10  77.86MB 
/bin/sh -c #(nop) ADD file:1b6c8c9518be42fa2afe5e241ca31677fce58d27cdfa88baa91a65a259be3637 in / 
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

{
    "Id": "sha256:d86f81f067f5ae3988ca1731c402389fe13e428c8043cf58003c5549efd02e15",
    "RepoTags": [
        "openmmlab/lmdeploy:v0.11.1-cu12.8",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8"
    ],
    "RepoDigests": [
        "openmmlab/lmdeploy@sha256:d8c24ba6ac7c4c5a7cbbba5f952fb8d3d24ecae3d4c3aa67e6d9a8c5ca1a2d2b",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy@sha256:0516dd9c784d4c87110b3ea054db91d8c314a6a6bad32353015045fff0f90f58"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-12-24T14:27:05.985292986Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/py3/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=12.8 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551 brand=unknown,driver\u003e=560,driver\u003c561 brand=grid,driver\u003e=560,driver\u003c561 brand=tesla,driver\u003e=560,driver\u003c561 brand=nvidia,driver\u003e=560,driver\u003c561 brand=quadro,driver\u003e=560,driver\u003c561 brand=quadrortx,driver\u003e=560,driver\u003c561 brand=nvidiartx,driver\u003e=560,driver\u003c561 brand=vapps,driver\u003e=560,driver\u003c561 brand=vpc,driver\u003e=560,driver\u003c561 brand=vcs,driver\u003e=560,driver\u003c561 brand=vws,driver\u003e=560,driver\u003c561 brand=cloudgaming,driver\u003e=560,driver\u003c561 brand=unknown,driver\u003e=565,driver\u003c566 brand=grid,driver\u003e=565,driver\u003c566 brand=tesla,driver\u003e=565,driver\u003c566 brand=nvidia,driver\u003e=565,driver\u003c566 brand=quadro,driver\u003e=565,driver\u003c566 brand=quadrortx,driver\u003e=565,driver\u003c566 brand=nvidiartx,driver\u003e=565,driver\u003c566 brand=vapps,driver\u003e=565,driver\u003c566 brand=vpc,driver\u003e=565,driver\u003c566 brand=vcs,driver\u003e=565,driver\u003c566 brand=vws,driver\u003e=565,driver\u003c566 brand=cloudgaming,driver\u003e=565,driver\u003c566",
            "NV_CUDA_CUDART_VERSION=12.8.90-1",
            "CUDA_VERSION=12.8.1",
            "LD_LIBRARY_PATH=/nccl/lib:/usr/local/cuda/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "CUDA_VERSION_SHORT=cu128",
            "TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": null,
        "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": 11919467003,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/65cbab40e887349733489d504b7c35db791671e73870c6a1b0748bc5b4b79d07/diff:/var/lib/docker/overlay2/b8b0dc36224dd3c75fa0e37f32635ef6ee7f0f209094eda08fb6a4e4b15cd776/diff:/var/lib/docker/overlay2/4dd58b9a1c16da1356fbc20c873da34e91d3e602f00fb4000b0d4ea38f0ca3d6/diff:/var/lib/docker/overlay2/349bacf40663f20f9a26cabe26428a50f189271537b8cd48658e4affe9775c2d/diff:/var/lib/docker/overlay2/54b5feb7a0b326ad8e1bc7ceb290252969de24a2a8e3326a714871767a57731f/diff:/var/lib/docker/overlay2/54b0ceb307385a253ba24e2e27976a9c3e8601e06e9c34f16f31799292f3550c/diff:/var/lib/docker/overlay2/ace3f972cf88bd330727fa9a25fd0df2c3fec1df161ac9102bf9f5739b40b82c/diff",
            "MergedDir": "/var/lib/docker/overlay2/9587a341ae9f465919fd09c200a925f786feee7a64c2177fe5b413aaca8dce22/merged",
            "UpperDir": "/var/lib/docker/overlay2/9587a341ae9f465919fd09c200a925f786feee7a64c2177fe5b413aaca8dce22/diff",
            "WorkDir": "/var/lib/docker/overlay2/9587a341ae9f465919fd09c200a925f786feee7a64c2177fe5b413aaca8dce22/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:270a1170e7e398434ff1b31e17e233f7d7b71aa99a40473615860068e86720af",
            "sha256:fb456a9e7760e7e4481d3d9eddee3ef62358753326d669c3efe6b0cc254ab9c3",
            "sha256:981a144d9fa2efffdbdfbdcfd3881dccb4fbf07867d4fa326a386126ca11b50f",
            "sha256:583f1d6040fc90a1380cb4d11d46b78bbbd4ad7d6274b9656ab9832ef7ba6342",
            "sha256:6020d84069cf575521faca653d2817e2195b8233b8c4e2d7bc65f3296296c2bb",
            "sha256:ddd77d109aee60c567eeab5fefe11166b45c128de68c000c0828d627c13e371a",
            "sha256:f75363bad86caf2265b98c377e83804b4e7e973b4e59c158ec46df0281bebb90",
            "sha256:e4270cf31b469493ff261487795cccfc925656f7a28fce017d576e0ccb5a6656"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-02-04T01:07:11.516061714+08:00"
    }
}

更多版本

docker.io/openmmlab/lmdeploy:v0.6.1-cu11

linux/amd64 docker.io16.62GB2024-09-30 11:49
641

docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12

linux/amd64 docker.io16.08GB2024-11-30 00:20
443

docker.io/openmmlab/lmdeploy:v0.7.1-cu12

linux/amd64 docker.io15.62GB2025-03-02 00:24
681

docker.io/openmmlab/lmdeploy:v0.7.2-cu12

linux/amd64 docker.io15.33GB2025-03-29 00:24
390

docker.io/openmmlab/lmdeploy:v0.8.0-cu12

linux/amd64 docker.io15.46GB2025-05-27 01:22
399

docker.io/openmmlab/lmdeploy:latest

linux/amd64 docker.io15.46GB2025-05-27 02:44
431

docker.io/openmmlab/lmdeploy:v0.8.0-cu11

linux/amd64 docker.io16.30GB2025-06-06 00:36
320

docker.io/openmmlab/lmdeploy:v0.11.1-cu12.8

linux/amd64 docker.io11.92GB2026-02-04 01:21
7

docker.io/openmmlab/lmdeploy:v0.11.1-cu12

linux/amd64 docker.io10.10GB2026-02-04 02:23
7