# Copyright 1999-2026 Gentoo Authors # Distributed under the terms of the GNU General Public License v2 EAPI=8 ROCM_VERSION="7.0" PYTHON_COMPAT=( python3_{12..15} ) inherit cmake cuda flag-o-matic git-r3 rocm linux-info python-any-r1 toolchain-funcs TINY_LLAMAS_COMMIT="99dd1a73db5a37100bd4ae633f4cfce6560e1567" DESCRIPTION="Port of Facebook's LLaMA model in C/C++" HOMEPAGE="https://github.com/ggml-org/llama.cpp" EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git" SRC_URI=" examples? ( https://huggingface.co/ggml-org/tiny-llamas/resolve/${TINY_LLAMAS_COMMIT}/stories15M-q4_0.gguf -> ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf ) " LICENSE="MIT" SLOT="0" CPU_FLAGS_X86=( amx_bf16 amx_int8 amx_tile avx avx2 avx512_bf16 avx512_vnni avx512f avx512vbmi avx_vnni bmi2 f16c fma3 sse4_2 ) IUSE="debug openblas +openmp blis rocm cuda opencl +openssl vulkan flexiblas examples +webui sycl" IUSE+=" ${CPU_FLAGS_X86[@]/#/cpu_flags_x86_}" REQUIRED_USE=" ?? ( openblas blis flexiblas ) rocm? ( ${ROCM_REQUIRED_USE} ) " # No pinned UI distfile exists for a live checkout; CMake builds it with npm # or fetches it from Hugging Face. RESTRICT="webui? ( network-sandbox )" # numpy is used by convert_hf_to_gguf.py. # SYCL needs an unexpressible -fsycl compiler; level-zero and oneDNN are optional # auto-detected accelerators. End-to-end path untested as of 2026-05-17. CDEPEND=" openblas? ( sci-libs/openblas:= ) openmp? ( llvm-runtimes/openmp:= ) blis? ( sci-libs/blis:= ) flexiblas? ( sci-libs/flexiblas:= ) rocm? ( >=dev-util/hip-${ROCM_VERSION}:= >=sci-libs/hipBLAS-${ROCM_VERSION}:=[${ROCM_USEDEP}] ) cuda? ( dev-util/nvidia-cuda-toolkit:= ) sycl? ( sci-libs/mkl:= ) openssl? ( dev-libs/openssl:= ) " DEPEND="${CDEPEND} opencl? ( dev-util/opencl-headers ) vulkan? ( dev-util/spirv-headers dev-util/vulkan-headers ) " RDEPEND="${CDEPEND} dev-python/numpy opencl? ( dev-libs/opencl-icd-loader ) vulkan? ( media-libs/vulkan-loader ) " # The OpenCL backend embeds its kernels with a stdlib-only Python script. BDEPEND=" opencl? ( ${PYTHON_DEPS} ) vulkan? ( media-libs/shaderc ) " pkg_pretend() { [[ ${MERGE_TYPE} != binary ]] && use openmp && tc-check-openmp } pkg_setup() { [[ ${MERGE_TYPE} != binary ]] && use openmp && tc-check-openmp use opencl && python-any-r1_pkg_setup # CMake tests -fsycl; missing icpx usually predicts configure failure. if use sycl && ! type -P icpx &>/dev/null; then ewarn "USE=sycl: Intel icpx (from oneAPI) is not on PATH. If your" ewarn "system clang++ has -fsycl support, ignore this; otherwise" ewarn "install oneAPI before continuing or cmake will fatal-error." fi if use rocm; then linux-info_pkg_setup if linux-info_get_any_version && linux_config_exists; then if ! linux_chkconfig_present HSA_AMD_SVM; then ewarn "To use ROCm/HIP, you need to have HSA_AMD_SVM option enabled in your kernel." fi fi fi } src_prepare() { use cuda && cuda_src_prepare cmake_src_prepare if use examples; then mkdir -p "${BUILD_DIR}/tinyllamas" || die cp "${DISTDIR}/ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf" \ "${BUILD_DIR}/tinyllamas/stories15M-q4_0.gguf" || die fi } src_configure() { # Upstream releases build Release, which supplies -DNDEBUG; cmake.eclass # blanks CMAKE_*_FLAGS_RELWITHDEBINFO, so it never lands and the plain # assert() calls in ggml and llama stay live -- a configuration upstream # never exercises. GGML_ASSERT is unconditional, so the ggml consistency # checks survive either way. Worth ~1% of token throughput on AVX-512. # USE=debug keeps the asserts for diagnosing an abort. # verified 2026-09-21 if ! use debug; then append-cflags "-DNDEBUG" append-cxxflags "-DNDEBUG" fi local mycmakeargs=( -DLLAMA_BUILD_TESTS=OFF -DLLAMA_BUILD_EXAMPLES=$(usex examples) -DLLAMA_BUILD_SERVER=ON -DCMAKE_SKIP_BUILD_RPATH=ON -DGGML_NATIVE=0 # don't set march -DGGML_RPC=ON -DLLAMA_OPENSSL=$(usex openssl) -DGENTOO_REMOVE_CMAKE_BLAS_HACK=ON -DGGML_CUDA=$(usex cuda) -DGGML_CUDA_NCCL=OFF -DGGML_OPENCL=$(usex opencl) # ggml accepts only Adreno and Intel GPUs, and its Adreno kernels reject # every other device, so they are enabled only where Adreno exists. # verified 2026-10-06 -DGGML_OPENCL_USE_ADRENO_KERNELS=$(usex arm64) -DGGML_OPENMP=$(usex openmp) -DGGML_VULKAN=$(usex vulkan) -DGGML_SYCL=$(usex sycl) # Isolate libraries shared with whisper.cpp. -DCMAKE_INSTALL_LIBDIR="${EPREFIX}/usr/$(get_libdir)/llama.cpp" -DCMAKE_INSTALL_RPATH="${EPREFIX}/usr/$(get_libdir)/llama.cpp" ) # Both switches track USE: the Hugging Face fetch runs even with the # UI build disabled. A live checkout keeps git describe's version. mycmakeargs+=( -DLLAMA_BUILD_UI=$(usex webui) -DLLAMA_USE_PREBUILT_UI=$(usex webui) ) mycmakeargs+=( -DGGML_SSE42=$(usex cpu_flags_x86_sse4_2) -DGGML_AVX=$(usex cpu_flags_x86_avx) -DGGML_AVX_VNNI=$(usex cpu_flags_x86_avx_vnni) -DGGML_AVX2=$(usex cpu_flags_x86_avx2) -DGGML_BMI2=$(usex cpu_flags_x86_bmi2) -DGGML_F16C=$(usex cpu_flags_x86_f16c) -DGGML_FMA=$(usex cpu_flags_x86_fma3) -DGGML_AVX512=$(usex cpu_flags_x86_avx512f) -DGGML_AVX512_VBMI=$(usex cpu_flags_x86_avx512vbmi) -DGGML_AVX512_VNNI=$(usex cpu_flags_x86_avx512_vnni) -DGGML_AVX512_BF16=$(usex cpu_flags_x86_avx512_bf16) -DGGML_AMX_TILE=$(usex cpu_flags_x86_amx_tile) -DGGML_AMX_INT8=$(usex cpu_flags_x86_amx_int8) -DGGML_AMX_BF16=$(usex cpu_flags_x86_amx_bf16) ) if use openblas ; then mycmakeargs+=( -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS ) fi if use blis ; then mycmakeargs+=( -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FLAME ) fi if use flexiblas; then mycmakeargs+=( -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FlexiBLAS ) fi if use cuda; then local -x CUDAHOSTCXX="$(cuda_gccdir)/g++" # nvcc recreates device symlinks during detection. cuda_add_sandbox addpredict "/dev/char/" fi if use rocm; then rocm_use_hipcc mycmakeargs+=( -DGGML_HIP=ON -DAMDGPU_TARGETS=$(get_amdgpu_flags) ) fi cmake_src_configure } src_install() { cmake_src_install # Both projects install conflicting ggml headers. rm -r "${ED}/usr/include" || die }