[ RHDHPAI-1034] Update Models & Model Servers in Software Templates

model-servers/llamacpp_python/0.3.16/.dockerignore

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+config.env

model-servers/llamacpp_python/0.3.16/Containerfile

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+FROM registry.access.redhat.com/ubi9/python-311:1-77.1726664316
+WORKDIR /locallm
+COPY src .
+USER root
+RUN dnf install -y gcc-toolset-13-gcc gcc-toolset-13-gcc-c++
+USER 1001
+RUN CC="/opt/rh/gcc-toolset-13/root/usr/bin/gcc" CXX="/opt/rh/gcc-toolset-13/root/usr/bin/g++"  pip install --no-cache-dir --verbose -r ./requirements.txt
+EXPOSE 8001
+ENTRYPOINT [ "sh", "./run.sh" ]

model-servers/llamacpp_python/0.3.16/README.md

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+# llama-cpp-python model server
+
+The llama-cpp-python model server is adapted from [ai-lab-recipes](https://github.com/containers/ai-lab-recipes/tree/main/model_servers/llamacpp_python).
+
+## Build Model Image
+
+To build the llama-cpp-python model server from this directory:
+
+```bash
+podman build -t quay.io/redhat-ai-dev/llamacpp_python:0.3.16 .
+```

model-servers/llamacpp_python/0.3.16/config.env

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+IMAGE_NAME=quay.io/redhat-ai-dev/llamacpp_python
+IMAGE_TAG=0.3.16

model-servers/llamacpp_python/0.3.16/src/requirements.txt

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+llama-cpp-python[server]==0.3.16
+transformers==4.41.2
+pip==24.0

model-servers/llamacpp_python/0.3.16/src/run.sh

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+#!/bin/bash
+if [ ${CONFIG_PATH} ] || [[ ${MODEL_PATH} && ${CONFIG_PATH} ]]; then
+    python -m llama_cpp.server --config_file ${CONFIG_PATH}
+    exit 0
+fi
+
+if [ "${MODEL_HF_PRETRAINED_MODEL}" == "None" ]; then
+    MODEL_HF_PRETRAINED_MODEL=""
+fi
+
+if [ ${MODEL_PATH} ]; then
+    python -m llama_cpp.server \
+        --model ${MODEL_PATH} \
+        --host ${HOST:=0.0.0.0} \
+        --port ${PORT:=8001} \
+        --n_gpu_layers ${GPU_LAYERS:=0} \
+        --clip_model_path ${CLIP_MODEL_PATH:=None} \
+        --chat_format ${MODEL_CHAT_FORMAT:=llama-2} \
+        ${PRETRAINED_MODEL_PATH:=} \
+        ${MODEL_HF_PRETRAINED_MODEL:+--hf_pretrained_model_name_or_path ${MODEL_HF_PRETRAINED_MODEL}} \
+        --interrupt_requests ${INTERRUPT_REQUESTS:=False}
+    exit 0
+fi
+
+echo "Please set either a CONFIG_PATH or a MODEL_PATH"
+exit 1
+

model-servers/vllm/0.11.0/Containerfile

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+FROM registry.access.redhat.com/ubi9/python-311 as cuda-runtime
+
+###################################################################################################
+# CUDA 12.1 Layer, from https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1 #
+###################################################################################################
+
+# Base
+USER 0
+
+ENV NVARCH x86_64
+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"
+ENV NV_CUDA_CUDART_VERSION 12.1.105-1
+
+COPY cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo
+
+RUN NVIDIA_GPGKEY_SUM=d0664fbbdb8c32356d45de36c5984617217b2d0bef41b93ccecd326ba3b80c87 && \
+    curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel9/${NVARCH}/D42D0685.pub | sed '/^Version/d' > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && \
+    echo "$NVIDIA_GPGKEY_SUM  /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA" | sha256sum -c --strict -
+
+ENV CUDA_VERSION 12.1.1
+
+# For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a
+RUN yum upgrade -y && yum install -y \
+    cuda-cudart-12-1-${NV_CUDA_CUDART_VERSION} \
+    cuda-compat-12-1 \
+    && ln -s cuda-12.1 /usr/local/cuda \
+    && yum -y clean all --enablerepo='*' && \
+    rm -rf /var/cache/dnf && \
+    find /var/log -type f -name "*.log" -exec rm -f {} \;
+
+# nvidia-docker 1.0
+RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \
+    echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
+
+ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
+ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
+
+COPY NGC-DL-CONTAINER-LICENSE /
+
+# nvidia-container-runtime
+ENV NVIDIA_VISIBLE_DEVICES all
+ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
+
+# Runtime
+ENV NV_CUDA_LIB_VERSION 12.1.1-1
+
+ENV NV_NVTX_VERSION 12.1.105-1
+ENV NV_LIBNPP_VERSION 12.1.0.40-1
+ENV NV_LIBNPP_PACKAGE libnpp-12-1-${NV_LIBNPP_VERSION}
+ENV NV_LIBCUBLAS_VERSION 12.1.3.1-1
+ENV NV_LIBNCCL_PACKAGE_NAME libnccl
+ENV NV_LIBNCCL_PACKAGE_VERSION 2.17.1-1
+ENV NV_LIBNCCL_VERSION 2.17.1
+ENV NCCL_VERSION 2.17.1
+ENV NV_LIBNCCL_PACKAGE ${NV_LIBNCCL_PACKAGE_NAME}-${NV_LIBNCCL_PACKAGE_VERSION}+cuda12.1
+
+RUN yum install -y \
+    cuda-libraries-12-1-${NV_CUDA_LIB_VERSION} \
+    cuda-nvtx-12-1-${NV_NVTX_VERSION} \
+    ${NV_LIBNPP_PACKAGE} \
+    libcublas-12-1-${NV_LIBCUBLAS_VERSION} \
+    ${NV_LIBNCCL_PACKAGE} \
+    && yum clean all \
+    && rm -rf /var/cache/yum/*
+
+# Set this flag so that libraries can find the location of CUDA
+ENV XLA_FLAGS=--xla_gpu_cuda_data_dir=/usr/local/cuda
+
+# CUDA Devel image
+FROM cuda-runtime as cuda-devel
+ENV NVIDIA_VISIBLE_DEVICES all
+ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
+
+ENV NV_CUDA_LIB_VERSION 12.1.1-1
+ENV NV_NVPROF_VERSION 12.1.105-1
+ENV NV_NVPROF_DEV_PACKAGE cuda-nvprof-12-1-${NV_NVPROF_VERSION}
+ENV NV_CUDA_CUDART_DEV_VERSION 12.1.105-1
+ENV NV_NVML_DEV_VERSION 12.1.105-1
+ENV NV_LIBCUBLAS_DEV_VERSION 12.1.3.1-1
+ENV NV_LIBNPP_DEV_VERSION 12.1.0.40-1
+ENV NV_LIBNPP_DEV_PACKAGE libnpp-devel-12-1-${NV_LIBNPP_DEV_VERSION}
+ENV NV_LIBNCCL_DEV_PACKAGE_NAME libnccl-devel
+ENV NV_LIBNCCL_DEV_PACKAGE_VERSION 2.17.1-1
+ENV NCCL_VERSION 2.17.1
+ENV NV_LIBNCCL_DEV_PACKAGE ${NV_LIBNCCL_DEV_PACKAGE_NAME}-${NV_LIBNCCL_DEV_PACKAGE_VERSION}+cuda12.1
+ENV NV_CUDA_NSIGHT_COMPUTE_VERSION 12.1.1-1
+ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE cuda-nsight-compute-12-1-${NV_CUDA_NSIGHT_COMPUTE_VERSION}
+
+
+RUN yum install -y \
+    make \
+    findutils \
+    cuda-command-line-tools-12-1-${NV_CUDA_LIB_VERSION} \
+    cuda-libraries-devel-12-1-${NV_CUDA_LIB_VERSION} \
+    cuda-minimal-build-12-1-${NV_CUDA_LIB_VERSION} \
+    cuda-cudart-devel-12-1-${NV_CUDA_CUDART_DEV_VERSION} \
+    ${NV_NVPROF_DEV_PACKAGE} \
+    cuda-nvml-devel-12-1-${NV_NVML_DEV_VERSION} \
+    libcublas-devel-12-1-${NV_LIBCUBLAS_DEV_VERSION} \
+    ${NV_LIBNPP_DEV_PACKAGE} \
+    ${NV_LIBNCCL_DEV_PACKAGE} \
+    ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} \
+    && yum clean all \
+    && rm -rf /var/cache/yum/*
+
+ENV LIBRARY_PATH /usr/local/cuda/lib64/stubs
+
+#############################################
+# End of CUDA 12.1 Layer                    #
+#############################################
+
+###################################
+# vLLM install in build container #
+###################################
+
+FROM cuda-devel as vllm-install
+
+WORKDIR /opt/app-root/src
+
+USER 1001
+
+COPY --chown=1001:0 requirements.txt ./
+
+RUN pip install --no-cache-dir -r requirements.txt && \
+    rm -f requirements.txt && \
+    # Install flash-attn from PyPI \
+    pip install flash-attn==2.5.8 --no-build-isolation && \
+    # Correction for FIPS mode \
+    sed -i s/md5/sha1/g /opt/app-root/lib64/python3.11/site-packages/triton/runtime/jit.py && \
+    # Fix permissions to support pip in Openshift environments \
+    chmod -R g+w /opt/app-root/lib/python3.11/site-packages && \
+    fix-permissions /opt/app-root -P
+
+##################
+# vLLM container #
+##################
+
+FROM cuda-runtime as vllm-container
+
+WORKDIR /opt/app-root/src
+
+COPY --from=vllm-install --chown=1001:0 /opt/app-root/lib64/python3.11/site-packages /opt/app-root/lib64/python3.11/site-packages
+COPY --from=vllm-install --chown=1001:0 /opt/app-root/src/.config/vllm/nccl/cu12/libnccl.so.2* /usr/local/lib/libnccl.so.2
+
+# Fix VLLM_NCCL_SO_PATH
+ENV VLLM_NCCL_SO_PATH=/usr/local/lib/libnccl.so.2
+
+USER 1001
+
+EXPOSE 8000
+
+ENTRYPOINT ["python3", "-m", "vllm.entrypoints.openai.api_server"]
+