mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-26 19:34:35 +00:00
60 lines
1.9 KiB
RPMSpec
60 lines
1.9 KiB
RPMSpec
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# SRPM for building from source and packaging an RPM for RPM-based distros.
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# https://fedoraproject.org/wiki/How_to_create_an_RPM_package
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# Built and maintained by John Boero - boeroboy@gmail.com
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# In honor of Seth Vidal https://www.redhat.com/it/blog/thank-you-seth-vidal
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# Notes for llama.cpp:
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# 1. Tags are currently based on hash - which will not sort asciibetically.
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# We need to declare standard versioning if people want to sort latest releases.
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# 2. Builds for CUDA/OpenCL support are separate, with different depenedencies.
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# 3. NVidia's developer repo must be enabled with nvcc, cublas, clblas, etc installed.
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# Example: https://developer.download.nvidia.com/compute/cuda/repos/fedora37/x86_64/cuda-fedora37.repo
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# 4. OpenCL/CLBLAST support simply requires the ICD loader and basic opencl libraries.
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# It is up to the user to install the correct vendor-specific support.
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Name: llama.cpp-cublas
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Version: master
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Release: 1%{?dist}
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Summary: CPU Inference of LLaMA model in pure C/C++ (no CUDA/OpenCL)
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License: MIT
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Source0: https://github.com/ggerganov/llama.cpp/archive/refs/heads/master.tar.gz
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BuildRequires: coreutils make gcc-c++ git cuda-toolkit
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Requires: cuda-toolkit
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URL: https://github.com/ggerganov/llama.cpp
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%define debug_package %{nil}
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%define source_date_epoch_from_changelog 0
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%description
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CPU inference for Meta's Lllama2 models using default options.
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%prep
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%setup -n llama.cpp-master
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%build
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make -j LLAMA_CUBLAS=1
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%install
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mkdir -p %{buildroot}%{_bindir}/
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cp -p main %{buildroot}%{_bindir}/llamacppcublas
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cp -p server %{buildroot}%{_bindir}/llamacppcublasserver
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cp -p simple %{buildroot}%{_bindir}/llamacppcublassimple
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%clean
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rm -rf %{buildroot}
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rm -rf %{_builddir}/*
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%files
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%{_bindir}/llamacppcublas
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%{_bindir}/llamacppcublasserver
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%{_bindir}/llamacppcublassimple
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%pre
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%post
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%preun
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%postun
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%changelog
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