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https://github.com/ikawrakow/ik_llama.cpp.git
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0ceeb11721
* Merging mainline - WIP * Merging mainline - WIP AVX2 and CUDA appear to work. CUDA performance seems slightly (~1-2%) lower as it is so often the case with llama.cpp/ggml after some "improvements" have been made. * Merging mainline - fix Metal * Remove check --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
16 lines
618 B
CMake
16 lines
618 B
CMake
set(TARGET llama-gguf-hash)
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add_executable(${TARGET} gguf-hash.cpp)
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install(TARGETS ${TARGET} RUNTIME)
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# clibs dependencies
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include_directories(deps/)
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add_library(xxhash OBJECT deps/xxhash/xxhash.c deps/xxhash/xxhash.h)
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target_link_libraries(${TARGET} PRIVATE xxhash)
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add_library(sha1 OBJECT deps/sha1/sha1.c deps/sha1/sha1.h)
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target_link_libraries(${TARGET} PRIVATE sha1)
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add_library(sha256 OBJECT deps/sha256/sha256.c deps/sha256/sha256.h)
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target_link_libraries(${TARGET} PRIVATE sha256)
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target_link_libraries(${TARGET} PRIVATE ggml ${CMAKE_THREAD_LIBS_INIT})
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target_compile_features(${TARGET} PRIVATE cxx_std_11)
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