ray-llama (latest)

Published 2025-05-06 20:47:55 +00:00 by martin

Installation

docker pull gitea.hnatekmar.xyz/public/ray-llama:latest
sha256:90e712524797f80be67ddbd8a51f3723db0e016cff6011aa8c9e66565c5f7aea

Image Layers

ARG RELEASE
ARG LAUNCHPAD_BUILD_ARCH
LABEL org.opencontainers.image.ref.name=ubuntu
LABEL org.opencontainers.image.version=22.04
ADD file:3bd10da0673e2e72cb06a1f64a9df49a36341df39b0f762e3d1b38ee4de296fa in /
CMD ["/bin/bash"]
ENV NVARCH=x86_64
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
ENV NV_CUDA_CUDART_VERSION=12.4.127-1
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
ARG TARGETARCH
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
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/${NVARCH}/cuda-keyring_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
ENV CUDA_VERSION=12.4.1
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-4=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
ENV NVIDIA_VISIBLE_DEVICES=all
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
ENV NV_CUDA_LIB_VERSION=12.4.1-1
ENV NV_NVTX_VERSION=12.4.127-1
ENV NV_LIBNPP_VERSION=12.2.5.30-1
ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1
ENV NV_LIBCUSPARSE_VERSION=12.3.1.170-1
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
ENV NV_LIBCUBLAS_VERSION=12.4.5.8-1
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
ENV NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
ENV NCCL_VERSION=2.21.5-1
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4
ARG TARGETARCH
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-4=${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
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
ENV NVIDIA_PRODUCT_NAME=CUDA
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
ENV NV_CUDA_LIB_VERSION=12.4.1-1
ENV NV_CUDA_CUDART_DEV_VERSION=12.4.127-1
ENV NV_NVML_DEV_VERSION=12.4.127-1
ENV NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1
ENV NV_LIBNPP_DEV_VERSION=12.2.5.30-1
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1
ENV NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1
ENV NV_NVPROF_VERSION=12.4.127-1
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1
ENV NCCL_VERSION=2.21.5-1
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4
ARG TARGETARCH
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-4=${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
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
ENV NV_CUDNN_VERSION=9.1.0.70-1
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.1.0.70-1
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-12=9.1.0.70-1
ARG TARGETARCH
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
LABEL com.nvidia.cudnn.version=9.1.0.70-1
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} ${NV_CUDNN_PACKAGE_DEV} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
ARG BASE_IMAGE
ARG AUTOSCALER=autoscaler
ENV TZ=America/Los_Angeles
ENV LC_ALL=C.UTF-8
ENV LANG=C.UTF-8
ENV PATH=/home/ray/anaconda3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
ARG DEBIAN_FRONTEND=noninteractive
ARG PYTHON_VERSION=3.9
ARG HOSTTYPE=x86_64
ARG RAY_UID=1000
ARG RAY_GID=100
RUN |7 BASE_IMAGE=nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04 AUTOSCALER=autoscaler DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.11 HOSTTYPE=x86_64 RAY_UID=1000 RAY_GID=100 /bin/sh -c /dev/pipes/EOF # buildkit
USER 1000
ENV HOME=/home/ray
COPY python/requirements_compiled.txt /home/ray/requirements_compiled.txt # buildkit
SHELL [/bin/bash -c]
RUN |7 BASE_IMAGE=nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04 AUTOSCALER=autoscaler DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.11 HOSTTYPE=x86_64 RAY_UID=1000 RAY_GID=100 /bin/bash -c /dev/pipes/EOF # buildkit
WORKDIR /home/ray
COPY python/requirements_*.txt ./ # buildkit
RUN /bin/bash -c /dev/pipes/EOF # buildkit
ARG WHEEL_PATH
ARG FIND_LINKS_PATH=.whl
ARG CONSTRAINTS_FILE=requirements_compiled.txt
COPY .whl/ray-2.44.0-cp311-cp311-manylinux2014_x86_64.whl . # buildkit
COPY .whl .whl # buildkit
RUN |3 WHEEL_PATH=.whl/ray-2.44.0-cp311-cp311-manylinux2014_x86_64.whl FIND_LINKS_PATH=.whl CONSTRAINTS_FILE=requirements_compiled.txt /bin/bash -c $HOME/anaconda3/bin/pip --no-cache-dir install -c $CONSTRAINTS_FILE `basename $WHEEL_PATH`[all] --find-links $FIND_LINKS_PATH && sudo rm `basename $WHEEL_PATH` # buildkit
RUN |3 WHEEL_PATH=.whl/ray-2.44.0-cp311-cp311-manylinux2014_x86_64.whl FIND_LINKS_PATH=.whl CONSTRAINTS_FILE=requirements_compiled.txt /bin/bash -c $HOME/anaconda3/bin/pip freeze > /home/ray/pip-freeze.txt # buildkit
USER root
/bin/sh -c apt update && apt install -y libcurl4-openssl-dev
USER ray
WORKDIR /serve_app
ENV PYTHONPATH="/serve_app:$PYTHONPATH"
COPY multi:07b10960950ca887dcc4b8c53bb37611dba2cc8075daea13f29c4963043bdb8f in /serve_app/
ADD file:32686372d8b8c780fe3bb53144ef5524dc78dd99e959325a0af8c906c485b171 in /serve_app/llama.py
/bin/sh -c mkdir -p /home/ray/anaconda3/lib/python3.11/site-packages/llama && cp /serve_app/llama.py /home/ray/anaconda3/lib/python3.11/site-packages/llama/__init__.py

Labels

Key Value
com.nvidia.cudnn.version 9.1.0.70-1
io.buildah.version 1.39.4
maintainer NVIDIA CORPORATION <cudatools@nvidia.com>
org.opencontainers.image.ref.name ubuntu
org.opencontainers.image.version 22.04
Details
Container
2025-05-06 20:47:55 +00:00
28
OCI / Docker
linux/amd64
13 GiB
Versions (1) View all
latest 2025-05-06