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llama.cpp
llama.cpp-vulkan
llama.cpp-sycl-fp16
llama.cpp-sycl-fp32
llama.cpp-cuda
llama.cpp-cuda-f16
llama.cpp-hip

Just wanted to say thank you for getting this working. It's finally building now without me having to edit the PKGBUILD every time to force it to point to gcc-13. :)

just a couple of minor changes in the build

python modules are now identified as optional for the conversion script
changed from git to tar.gz due to the git repo initial sync being so large

Finally I have a solution! Courtesy of Gemini Pro 2.5 and about 10 back and forths with it. Apparently the issue is that I have GCC 15 installed, and nvcc requires GCC 13. So this is what I had to do:

1. Had to install gcc13 from AUR (this took like 45 minutes)
2. Had to change the PKGBUILD options section:

options=(!lto !debug)

1. Had to add to the PKGBUILD build() function:

-DCMAKE_C_COMPILER=/usr/bin/gcc-13
-DCMAKE_CXX_COMPILER=/usr/bin/g++-13
-DCMAKE_CUDA_HOST_COMPILER=/usr/bin/g++-13

1. makepkg -si
2. Had to approve the removal of libggml-cuda-f16-git

So many insane hoops to go through to get this working. I don't really understand why I'm the only one having this issue? Is it maybe because I'm using CachyOS?

Either way, if anyone runs into the craziness I've gone through, I hope the above instructions help get you back up and running (at least temporarily)! I've tested it for about 30 minutes and everything seems pretty good.

@txtsd is there anything you can take from the above to maybe get this working with the existing PKGBUILD? Maybe somehow forcing nvcc + gcc to play together nicer? Much appreciated!

I just gave it another shot. Getting a new error now:

-- Adding CPU backend variant ggml-cpu: -march=native
-- Found CUDAToolkit: /opt/cuda/targets/x86_64-linux/include (found version "12.9.86")
-- CUDA Toolkit found
-- Using CUDA architectures: native
CMake Error at /usr/share/cmake/Modules/CMakeDetermineCompilerId.cmake:909 (message):
  Compiling the CUDA compiler identification source file
  "CMakeCUDACompilerId.cu" failed.

  Compiler: /opt/cuda/bin/nvcc

  Build flags:

  Id flags: --keep;--keep-dir;tmp -v



  The output was:

  2

  nvcc warning : Support for offline compilation for architectures prior to
  '<compute/sm/lto>_75' will be removed in a future release (Use
  -Wno-deprecated-gpu-targets to suppress warning).

  #$ _NVVM_BRANCH_=nvvm

  #$ _SPACE_=

  #$ _CUDART_=cudart

  #$ _HERE_=/opt/cuda/bin

  #$ _THERE_=/opt/cuda/bin

  #$ _TARGET_SIZE_=

  #$ _TARGET_DIR_=

  #$ _TARGET_DIR_=targets/x86_64-linux

  #$ TOP=/opt/cuda/bin/..

  #$ CICC_PATH=/opt/cuda/bin/../nvvm/bin

  #$ NVVMIR_LIBRARY_DIR=/opt/cuda/bin/../nvvm/libdevice

  #$ LD_LIBRARY_PATH=/opt/cuda/bin/../lib:/opt/cuda/lib64

  #$
  PATH=/opt/cuda/bin/../nvvm/bin:/opt/cuda/bin:/opt/cuda/bin:/home/james/miniforge3/condabin:/home/james/.local/bin:/opt/miniconda3/bin:/home/james/Scripts:/usr/local/bin:/usr/bin:/home/james/.lmstudio/bin

  #$ INCLUDES="-I/opt/cuda/bin/../targets/x86_64-linux/include"

  #$ LIBRARIES= "-L/opt/cuda/bin/../targets/x86_64-linux/lib/stubs"
  "-L/opt/cuda/bin/../targets/x86_64-linux/lib"

  #$ CUDAFE_FLAGS=

  #$ PTXAS_FLAGS=

  #$ rm tmp/a_dlink.reg.c

  #$ gcc -D__CUDA_ARCH_LIST__=520 -D__NV_LEGACY_LAUNCH -E -x c++ -D__CUDACC__
  -D__NVCC__ "-I/opt/cuda/bin/../targets/x86_64-linux/include"
  -D__CUDACC_VER_MAJOR__=12 -D__CUDACC_VER_MINOR__=9
  -D__CUDACC_VER_BUILD__=86 -D__CUDA_API_VER_MAJOR__=12
  -D__CUDA_API_VER_MINOR__=9 -D__NVCC_DIAG_PRAGMA_SUPPORT__=1
  -D__CUDACC_DEVICE_ATOMIC_BUILTINS__=1 -include "cuda_runtime.h" -m64
  "CMakeCUDACompilerId.cu" -o "tmp/CMakeCUDACompilerId.cpp4.ii"

  #$ cudafe++ --c++17 --gnu_version=150101 --display_error_number
  --orig_src_file_name "CMakeCUDACompilerId.cu" --orig_src_path_name
  "/mnt/big/.cache/paru/clone/llama.cpp-cuda/src/build/CMakeFiles/4.0.3-dirty/CompilerIdCUDA/CMakeCUDACompilerId.cu"
  --allow_managed --m64 --parse_templates --gen_c_file_name
  "tmp/CMakeCUDACompilerId.cudafe1.cpp" --stub_file_name
  "CMakeCUDACompilerId.cudafe1.stub.c" --gen_module_id_file
  --module_id_file_name "tmp/CMakeCUDACompilerId.module_id"
  "tmp/CMakeCUDACompilerId.cpp4.ii"

  /usr/include/c++/15.1.1/type_traits(554): error: type name is not allowed

        : public __bool_constant<__is_pointer(_Tp)>
                                              ^
...
...
...

  /usr/include/c++/15.1.1/bits/stl_algobase.h(1239): error: type name is not
  allowed

        || __is_pointer(_ValueType1)
                        ^



  /usr/include/c++/15.1.1/bits/stl_algobase.h(1412): error: type name is not
  allowed

      && __is_pointer(_II1) && __is_pointer(_II2)
                      ^



  /usr/include/c++/15.1.1/bits/stl_algobase.h(1412): error: type name is not
  allowed

      && __is_pointer(_II1) && __is_pointer(_II2)
                                            ^



  25 errors detected in the compilation of "CMakeCUDACompilerId.cu".

  # --error 0x2 --





Call Stack (most recent call first):
  /usr/share/cmake/Modules/CMakeDetermineCompilerId.cmake:8 (CMAKE_DETERMINE_COMPILER_ID_BUILD)
  /usr/share/cmake/Modules/CMakeDetermineCompilerId.cmake:53 (__determine_compiler_id_test)
  /usr/share/cmake/Modules/CMakeDetermineCUDACompiler.cmake:139 (CMAKE_DETERMINE_COMPILER_ID)
  ggml/src/ggml-cuda/CMakeLists.txt:43 (enable_language)


-- Configuring incomplete, errors occurred!
==> ERROR: A failure occurred in build().
    Aborting...
error: failed to build 'llama.cpp-cuda-b5849-1':
error: packages failed to build: llama.cpp-cuda-b5849-1

This is for the llama.cpp-cuda, but same exact error for f16 as well.

Currently working as of current version. Not getting the build error anymore. I just want to say thanks to @txtsd

Update 2: Disregard the "fix" I posted below. All the models are not loading into memory now (seems like the block/layer loading is busted) and my computer is crashing often. So I'm guessing there really is a deeper problem. This is so darn frustrating.

Update: I got it working by changing this in the PKGBUILD:

-DLLAMA_USE_SYSTEM_GGML=OFF

and then I had to delete the following files:

llama.cpp-cuda-f16: /usr/include/ggml-alloc.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml-backend.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml-blas.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml-cann.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml-cpp.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml-cpu.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml-cuda.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml-metal.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml-opt.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml-rpc.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml-sycl.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml-vulkan.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/ggml.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/include/gguf.h exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/lib/cmake/ggml/ggml-config.cmake exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/lib/cmake/ggml/ggml-version.cmake exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/lib/libggml-base.so exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/lib/libggml-cpu.so exists in filesystem (owned by libggml-cuda-f16-git)
llama.cpp-cuda-f16: /usr/lib/libggml.so exists in filesystem (owned by libggml-cuda-f16-git)

After doing that, It appears to be working just fine now.

I don't know how to modify the PKGBUILD to make it delete all those files automatically and stuff. I know it's probably very bad to do it this way. But I'm glad I got a temporary fix in order until this gets sorted.

Must be something about recent commits then. llama.cpp is a very fast moving software and is prone to bugs during building due to the nature of the package.

I'm getting the same error that @JamesMowery is getting. I've tried a rebuild of both lib.ggml and both versions of the llama.cpp-cuda as well.