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注意：这是一个 latest 标签镜像

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docker.io/hiyouga/llamafactory:latest
linux/amd64 docker.io

这是一个名为llamafactory的Docker镜像，由用户hiyouga发布在Docker Hub上。 具体功能需要参考镜像的文档或README文件才能确定。

2055
浏览次数
16.89GB
镜像大小
源镜像
docker.io/hiyouga/llamafactory:latest
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hiyouga/llamafactory:latest
镜像ID
sha256:2e85ea032a30e69369e046b3b8761bad87c73b904631a6f14f856eb00fdffcd5
镜像 TAG
latest
镜像大小
16.89GB
平台架构
linux/amd64
镜像源
docker.io
项目信息
Hub 主页 所有 TAG
CMD
启动入口
/opt/nvidia/nvidia_entrypoint.sh
工作目录
/app
OS/平台
linux/amd64
镜像创建
2025-07-01T14:41:23.197140222Z
同步时间
2025-07-02 13:28
浏览量
2055 次
贡献者
🔌 开放端口 2
7860/tcp 8000/tcp
⚙️ 环境变量 49
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVARCH=x86_64 1
NVIDIA_REQUIRE_CUDA=cuda>=12.4 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 2
NV_CUDA_CUDART_VERSION=12.4.127-1 3
NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4 4
CUDA_VERSION=12.4.1 5
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 6
NVIDIA_VISIBLE_DEVICES=all 7
NVIDIA_DRIVER_CAPABILITIES=compute,utility 8
NV_CUDA_LIB_VERSION=12.4.1-1 9
NV_NVTX_VERSION=12.4.127-1 10
NV_LIBNPP_VERSION=12.2.5.30-1 11
NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1 12
NV_LIBCUSPARSE_VERSION=12.3.1.170-1 13
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4 14
NV_LIBCUBLAS_VERSION=12.4.5.8-1 15
NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1 16
NV_LIBNCCL_PACKAGE_NAME=libnccl2 17
NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1 18
NCCL_VERSION=2.21.5-1 19
NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4 20
NVIDIA_PRODUCT_NAME=CUDA 21
NV_CUDA_CUDART_DEV_VERSION=12.4.127-1 22
NV_NVML_DEV_VERSION=12.4.127-1 23
NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1 24
NV_LIBNPP_DEV_VERSION=12.2.5.30-1 25
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1 26
NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1 27
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4 28
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1 29
NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1 30
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1 31
NV_NVPROF_VERSION=12.4.127-1 32
NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1 33
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev 34
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1 35
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4 36
LIBRARY_PATH=/usr/local/cuda/lib64/stubs 37
PYTORCH_VERSION=2.6.0 38
MAX_JOBS=16 39
VLLM_WORKER_MULTIPROC_METHOD=spawn 40
DEBIAN_FRONTEND=noninteractive 41
NODE_OPTIONS= 42
PIP_ROOT_USER_ACTION=ignore 43
FLASH_ATTENTION_FORCE_BUILD=TRUE 44
http_proxy= 45
https_proxy= 46
GRADIO_SERVER_PORT=7860 47
API_PORT=8000 48
🏷️ 镜像标签 4
KeyValue
nvidia_driver com.nvidia.volumes.needed
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

Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hiyouga/llamafactory:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hiyouga/llamafactory:latest  docker.io/hiyouga/llamafactory:latest

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hiyouga/llamafactory:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hiyouga/llamafactory:latest  docker.io/hiyouga/llamafactory:latest

Shell快速替换命令 

sed -i 's#hiyouga/llamafactory:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hiyouga/llamafactory:latest#' 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/hiyouga/llamafactory:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hiyouga/llamafactory:latest  docker.io/hiyouga/llamafactory:latest'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hiyouga/llamafactory:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hiyouga/llamafactory:latest  docker.io/hiyouga/llamafactory:latest'

镜像构建历史 


# 2025-07-01 22:41:23  0.00B 执行命令并创建新的镜像层
RUN |4 PIP_INDEX=https://pypi.org/simple EXTRAS=metrics,deepspeed,liger-kernel INSTALL_FLASHATTN=false HTTP_PROXY= /bin/bash -c pip config unset global.index-url &&     pip config unset global.extra-index-url # buildkit
                        
# 2025-07-01 22:41:22  0.00B 设置环境变量 https_proxy
ENV https_proxy=
                        
# 2025-07-01 22:41:22  0.00B 设置环境变量 http_proxy
ENV http_proxy=
                        
# 2025-07-01 22:41:22  0.00B 声明容器运行时监听的端口
EXPOSE map[8000/tcp:{}]
                        
# 2025-07-01 22:41:22  0.00B 设置环境变量 API_PORT
ENV API_PORT=8000
                        
# 2025-07-01 22:41:22  0.00B 声明容器运行时监听的端口
EXPOSE map[7860/tcp:{}]
                        
# 2025-07-01 22:41:22  0.00B 设置环境变量 GRADIO_SERVER_PORT
ENV GRADIO_SERVER_PORT=7860
                        
# 2025-07-01 22:41:22  0.00B 执行命令并创建新的镜像层
RUN |4 PIP_INDEX=https://pypi.org/simple EXTRAS=metrics,deepspeed,liger-kernel INSTALL_FLASHATTN=false HTTP_PROXY= /bin/bash -c if [ "${INSTALL_FLASHATTN}" == "true" ]; then         pip uninstall -y ninja &&         pip install --no-cache-dir ninja &&         pip install --no-cache-dir flash-attn --no-build-isolation;     fi # buildkit
                        
# 2025-07-01 22:41:22  69.06MB 执行命令并创建新的镜像层
RUN |4 PIP_INDEX=https://pypi.org/simple EXTRAS=metrics,deepspeed,liger-kernel INSTALL_FLASHATTN=false HTTP_PROXY= /bin/bash -c pip install --no-cache-dir -e ".[${EXTRAS}]" --no-build-isolation # buildkit
                        
# 2025-07-01 22:41:08  16.79MB 复制新文件或目录到容器中
COPY . /app # buildkit
                        
# 2025-07-01 21:08:18  1.22GB 执行命令并创建新的镜像层
RUN |4 PIP_INDEX=https://pypi.org/simple EXTRAS=metrics,deepspeed,liger-kernel INSTALL_FLASHATTN=false HTTP_PROXY= /bin/bash -c pip install --no-cache-dir -r requirements.txt # buildkit
                        
# 2025-07-01 21:07:40  518.00B 复制新文件或目录到容器中
COPY requirements.txt /app # buildkit
                        
# 2025-07-01 21:07:40  9.49MB 执行命令并创建新的镜像层
RUN |4 PIP_INDEX=https://pypi.org/simple EXTRAS=metrics,deepspeed,liger-kernel INSTALL_FLASHATTN=false HTTP_PROXY= /bin/bash -c pip config set global.index-url "${PIP_INDEX}" &&     pip config set global.extra-index-url "${PIP_INDEX}" &&     pip install --no-cache-dir --upgrade pip packaging wheel setuptools # buildkit
                        
# 2025-07-01 21:07:38  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-07-01 21:07:38  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-07-01 21:07:38  0.00B 设置环境变量 https_proxy
ENV https_proxy=
                        
# 2025-07-01 21:07:38  0.00B 设置环境变量 http_proxy
ENV http_proxy=
                        
# 2025-07-01 21:07:38  0.00B 设置环境变量 PIP_ROOT_USER_ACTION
ENV PIP_ROOT_USER_ACTION=ignore
                        
# 2025-07-01 21:07:38  0.00B 设置环境变量 NODE_OPTIONS
ENV NODE_OPTIONS=
                        
# 2025-07-01 21:07:38  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-07-01 21:07:38  0.00B 设置环境变量 VLLM_WORKER_MULTIPROC_METHOD
ENV VLLM_WORKER_MULTIPROC_METHOD=spawn
                        
# 2025-07-01 21:07:38  0.00B 设置环境变量 FLASH_ATTENTION_FORCE_BUILD
ENV FLASH_ATTENTION_FORCE_BUILD=TRUE
                        
# 2025-07-01 21:07:38  0.00B 设置环境变量 MAX_JOBS
ENV MAX_JOBS=16
                        
# 2025-07-01 21:07:38  0.00B 定义构建参数
ARG HTTP_PROXY=
                        
# 2025-07-01 21:07:38  0.00B 定义构建参数
ARG INSTALL_FLASHATTN=false
                        
# 2025-07-01 21:07:38  0.00B 定义构建参数
ARG EXTRAS=metrics,deepspeed,liger-kernel
                        
# 2025-07-01 21:07:38  0.00B 定义构建参数
ARG PIP_INDEX=https://pypi.org/simple
                        
# 2025-05-28 21:05:12  0.00B 执行命令并创建新的镜像层
RUN |2 APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple /bin/sh -c pip config unset global.index-url &&     pip config unset global.extra-index-url # buildkit
                        
# 2025-05-28 21:05:11  1.31GB 执行命令并创建新的镜像层
RUN |2 APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple /bin/sh -c wget -nv https://ghfast.top/https://github.com/flashinfer-ai/flashinfer/releases/download/v0.2.2.post1/flashinfer_python-0.2.2.post1+cu124torch2.6-cp38-abi3-linux_x86_64.whl &&     pip install --no-cache-dir flashinfer_python-0.2.2.post1+cu124torch2.6-cp38-abi3-linux_x86_64.whl # buildkit
                        
# 2025-05-28 21:04:06  794.18MB 执行命令并创建新的镜像层
RUN |2 APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple /bin/sh -c wget -nv https://ghfast.top/https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu12torch2.6cxx11abiFALSE-cp311-cp311-linux_x86_64.whl &&     pip install --no-cache-dir flash_attn-2.7.4.post1+cu12torch2.6cxx11abiFALSE-cp311-cp311-linux_x86_64.whl # buildkit
                        
# 2025-05-28 21:03:35  13.41MB 执行命令并创建新的镜像层
RUN |2 APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple /bin/sh -c pip config set global.index-url "${PIP_INDEX}" &&     pip config set global.extra-index-url "${PIP_INDEX}" &&     python -m pip install --upgrade pip # buildkit
                        
# 2025-05-28 21:03:32  666.29KB 执行命令并创建新的镜像层
RUN |2 APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple /bin/sh -c apt-get update &&     apt-get install -y gcc g++ &&     apt-get clean # buildkit
                        
# 2025-05-28 21:03:27  68.32MB 执行命令并创建新的镜像层
RUN |2 APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple /bin/sh -c apt-get update &&     apt-get install -y git vim &&     apt-get clean # buildkit
                        
# 2025-05-28 21:03:19  161.10MB 执行命令并创建新的镜像层
RUN |2 APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple /bin/sh -c apt-get update &&     apt-get install -y -o Dpkg::Options::="--force-confdef" systemd wget &&     apt-get clean # buildkit
                        
# 2025-05-28 21:03:05  2.79KB 执行命令并创建新的镜像层
RUN |2 APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple /bin/sh -c cp /etc/apt/sources.list /etc/apt/sources.list.bak &&     {     echo "deb ${APT_SOURCE} jammy main restricted universe multiverse";     echo "deb ${APT_SOURCE} jammy-updates main restricted universe multiverse";     echo "deb ${APT_SOURCE} jammy-backports main restricted universe multiverse";     echo "deb ${APT_SOURCE} jammy-security main restricted universe multiverse";     } > /etc/apt/sources.list # buildkit
                        
# 2025-05-28 21:03:05  0.00B 定义构建参数
ARG PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
                        
# 2025-05-28 21:03:05  0.00B 定义构建参数
ARG APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/
                        
# 2025-05-28 21:03:05  0.00B 设置环境变量 PIP_ROOT_USER_ACTION
ENV PIP_ROOT_USER_ACTION=ignore
                        
# 2025-05-28 21:03:05  0.00B 设置环境变量 NODE_OPTIONS
ENV NODE_OPTIONS=
                        
# 2025-05-28 21:03:05  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-05-28 21:03:05  0.00B 设置环境变量 VLLM_WORKER_MULTIPROC_METHOD
ENV VLLM_WORKER_MULTIPROC_METHOD=spawn
                        
# 2025-05-28 21:03:05  0.00B 设置环境变量 MAX_JOBS
ENV MAX_JOBS=16
                        
# 2025-01-30 01:26:35  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-01-30 01:26:35  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.6.0
                        
# 2025-01-30 01:26:35  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-01-30 01:26:35  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-01-30 01:26:35  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-01-30 01:26:35  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-01-30 01:26:35  0.00B 设置环境变量 PATH
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
                        
# 2025-01-30 01:26:35  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.6.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.1 /bin/sh -c if test -n "${TRITON_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then         DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends gcc;         rm -rf /var/lib/apt/lists/*;     fi # buildkit
                        
# 2025-01-30 01:26:34  5.95GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2025-01-30 01:22:43  4.93MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.6.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.1 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends         ca-certificates         libjpeg-dev         libpng-dev         && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-30 01:22:43  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2025-01-30 01:22:43  0.00B 定义构建参数
ARG CUDA_VERSION=12.4.1
                        
# 2025-01-30 01:22:43  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2025-01-30 01:22:43  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2025-01-30 01:22:43  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.6.0
                        
# 2024-04-23 07:54:42  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-04-23 07:54:42  389.87KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2024-04-23 07:54:41  4.98GB 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-dev-12-4=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-4=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-4=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-4=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-4=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-4=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:54:41  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:54:41  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.4.127-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.5.30-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.4.127-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.4.127-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
                        
# 2024-04-23 07:46:26  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-04-23 07:46:26  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-04-23 07:46:26  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-04-23 07:46:26  263.02KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2024-04-23 07:46:26  2.05GB 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-libraries-12-4=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-4=${NV_NVTX_VERSION}     libcusparse-12-4=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:46:26  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:46:26  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.4.5.8-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.3.1.170-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.5.30-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.4.127-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-04-23 07:42:28  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-04-23 07:42:28  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
                        
# 2024-04-23 07:42:28  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
                        
# 2024-04-23 07:42:28  155.93MB 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-12-4=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.4.1
                        
# 2024-04-23 07:42:16  10.57MB 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
                        
# 2024-04-23 07:42:16  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:42:16  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.4.127-1
                        
# 2024-04-23 07:42:16  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-04-11 02:52:04  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-04-11 02:52:04  77.86MB 
/bin/sh -c #(nop) ADD file:3bd10da0673e2e72cb06a1f64a9df49a36341df39b0f762e3d1b38ee4de296fa in / 
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

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    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-07-01T14:41:23.197140222Z",
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        "Hostname": "",
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        "ExposedPorts": {
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        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/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=12.4 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 brand=tesla,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=geforce,driver\u003e=535,driver\u003c536 brand=geforcertx,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=titan,driver\u003e=535,driver\u003c536 brand=titanrtx,driver\u003e=535,driver\u003c536",
            "NV_CUDA_CUDART_VERSION=12.4.127-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4",
            "CUDA_VERSION=12.4.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.4.1-1",
            "NV_NVTX_VERSION=12.4.127-1",
            "NV_LIBNPP_VERSION=12.2.5.30-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1",
            "NV_LIBCUSPARSE_VERSION=12.3.1.170-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4",
            "NV_LIBCUBLAS_VERSION=12.4.5.8-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1",
            "NCCL_VERSION=2.21.5-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=12.4.127-1",
            "NV_NVML_DEV_VERSION=12.4.127-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1",
            "NV_LIBNPP_DEV_VERSION=12.2.5.30-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1",
            "NV_NVPROF_VERSION=12.4.127-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4",
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    },
    "Metadata": {
        "LastTagTime": "2025-07-02T13:27:44.703482211+08:00"
    }
}

更多版本

docker.io/hiyouga/llamafactory:0.9.4

linux/amd64 docker.io16.89GB2025-06-25 03:06
1181

docker.io/hiyouga/llamafactory:latest

linux/amd64 docker.io16.89GB2025-07-02 13:28
2054

docker.io/hiyouga/llamafactory:0.9.4-npu-a2

linux/arm64 docker.io14.21GB2025-08-27 07:20
1005

docker.io/hiyouga/llamafactory:0.9.3

linux/amd64 docker.io16.90GB2026-01-21 02:29
349

docker.io/hiyouga/llamafactory:0.9.5

linux/amd64 docker.io16.72GB2026-06-02 01:08
188
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