devops : added systemd units and set versioning to use date. (#2835)

* Corrections and systemd units

* Missing dependency clblast

1 files changed, 36 insertions, 9 deletions

diff --git a/.devops/llama-cpp.srpm.spec b/.devops/llama-cpp.srpm.spec
index c65251a5..446213d6 100644
--- a/.devops/llama-cpp.srpm.spec
+++ b/.devops/llama-cpp.srpm.spec
@@ -6,6 +6,7 @@
 # Notes for llama.cpp:
 # 1. Tags are currently based on hash - which will not sort asciibetically.
 #    We need to declare standard versioning if people want to sort latest releases.
+#    In the meantime, YYYYMMDD format will be used.
 # 2. Builds for CUDA/OpenCL support are separate, with different depenedencies.
 # 3. NVidia's developer repo must be enabled with nvcc, cublas, clblas, etc installed.
 #    Example: https://developer.download.nvidia.com/compute/cuda/repos/fedora37/x86_64/cuda-fedora37.repo
@@ -13,12 +14,13 @@
 #    It is up to the user to install the correct vendor-specific support.
 
 Name:           llama.cpp
-Version:        master
+Version:        %( date "+%%Y%%m%%d" )
 Release:        1%{?dist}
 Summary:        CPU Inference of LLaMA model in pure C/C++ (no CUDA/OpenCL)
 License:        MIT
 Source0:        https://github.com/ggerganov/llama.cpp/archive/refs/heads/master.tar.gz
-BuildRequires:  coreutils make gcc-c++ git
+BuildRequires:  coreutils make gcc-c++ git libstdc++-devel
+Requires:       libstdc++
 URL:            https://github.com/ggerganov/llama.cpp
 
 %define debug_package %{nil}
@@ -26,27 +28,52 @@ URL:            https://github.com/ggerganov/llama.cpp
 
 %description
 CPU inference for Meta's Lllama2 models using default options.
+Models are not included in this package and must be downloaded separately.
 
 %prep
-%autosetup
+%setup -n llama.cpp-master
 
 %build
 make -j
 
 %install
 mkdir -p %{buildroot}%{_bindir}/
-cp -p main %{buildroot}%{_bindir}/llamacpp
-cp -p server %{buildroot}%{_bindir}/llamacppserver
-cp -p simple %{buildroot}%{_bindir}/llamacppsimple
+cp -p main %{buildroot}%{_bindir}/llama
+cp -p server %{buildroot}%{_bindir}/llamaserver
+cp -p simple %{buildroot}%{_bindir}/llamasimple
+
+mkdir -p %{buildroot}/usr/lib/systemd/system
+%{__cat} <<EOF  > %{buildroot}/usr/lib/systemd/system/llama.service
+[Unit]
+Description=Llama.cpp server, CPU only (no GPU support in this build).
+After=syslog.target network.target local-fs.target remote-fs.target nss-lookup.target
+
+[Service]
+Type=simple
+EnvironmentFile=/etc/sysconfig/llama
+ExecStart=/usr/bin/llamaserver $LLAMA_ARGS
+ExecReload=/bin/kill -s HUP $MAINPID
+Restart=never
+
+[Install]
+WantedBy=default.target
+EOF
+
+mkdir -p %{buildroot}/etc/sysconfig
+%{__cat} <<EOF  > %{buildroot}/etc/sysconfig/llama
+LLAMA_ARGS="-m /opt/llama2/ggml-model-f32.bin"
+EOF
 
 %clean
 rm -rf %{buildroot}
 rm -rf %{_builddir}/*
 
 %files
-%{_bindir}/llamacpp
-%{_bindir}/llamacppserver
-%{_bindir}/llamacppsimple
+%{_bindir}/llama
+%{_bindir}/llamaserver
+%{_bindir}/llamasimple
+/usr/lib/systemd/system/llama.service
+%config /etc/sysconfig/llama
 
 %pre