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2 Commits

Author SHA1 Message Date
arthw
2985be3324 update hw info 2026-03-31 09:24:40 +08:00
arthw
8dc96153c3 enhance FA stable in UT 2026-03-17 15:57:02 +08:00
1813 changed files with 118701 additions and 235119 deletions

View File

@@ -4,10 +4,7 @@
# Define the CANN base image for easier version updates later
ARG CHIP_TYPE=910b
ARG CANN_BASE_IMAGE=quay.io/ascend/cann:8.5.0-${CHIP_TYPE}-openeuler24.03-py3.11
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG CANN_BASE_IMAGE=quay.io/ascend/cann:8.3.rc2-${CHIP_TYPE}-openeuler24.03-py3.11
# ==============================================================================
# BUILD STAGE
@@ -58,7 +55,6 @@ RUN mkdir -p /app/lib && \
RUN mkdir -p /app/full && \
cp build/bin/* /app/full/ && \
cp *.py /app/full/ && \
cp -r conversion /app/full/ && \
cp -r gguf-py /app/full/ && \
cp -r requirements /app/full/ && \
cp requirements.txt /app/full/
@@ -71,19 +67,6 @@ RUN mkdir -p /app/full && \
# ==============================================================================
FROM ${CANN_BASE_IMAGE} AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp
ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp
LABEL org.opencontainers.image.created=$BUILD_DATE \
org.opencontainers.image.version=$APP_VERSION \
org.opencontainers.image.revision=$APP_REVISION \
org.opencontainers.image.title="llama.cpp" \
org.opencontainers.image.description="LLM inference in C/C++" \
org.opencontainers.image.url=$IMAGE_URL \
org.opencontainers.image.source=$IMAGE_SOURCE
# -- Install runtime dependencies --
RUN yum install -y libgomp curl && \
yum clean all && \

View File

@@ -1,16 +1,11 @@
ARG UBUNTU_VERSION=24.04
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG UBUNTU_VERSION=22.04
FROM ubuntu:$UBUNTU_VERSION AS build
ARG TARGETARCH
RUN apt-get update && \
apt-get install -y gcc-14 g++-14 build-essential git cmake libssl-dev
ENV CC=gcc-14 CXX=g++-14
apt-get install -y build-essential git cmake libssl-dev
WORKDIR /app
@@ -30,7 +25,6 @@ RUN mkdir -p /app/lib && \
RUN mkdir -p /app/full \
&& cp build/bin/* /app/full \
&& cp *.py /app/full \
&& cp -r conversion /app/full \
&& cp -r gguf-py /app/full \
&& cp -r requirements /app/full \
&& cp requirements.txt /app/full \
@@ -39,21 +33,8 @@ RUN mkdir -p /app/full \
## Base image
FROM ubuntu:$UBUNTU_VERSION AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp
ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp
LABEL org.opencontainers.image.created=$BUILD_DATE \
org.opencontainers.image.version=$APP_VERSION \
org.opencontainers.image.revision=$APP_REVISION \
org.opencontainers.image.title="llama.cpp" \
org.opencontainers.image.description="LLM inference in C/C++" \
org.opencontainers.image.url=$IMAGE_URL \
org.opencontainers.image.source=$IMAGE_SOURCE
RUN apt-get update \
&& apt-get install -y libgomp1 curl \
&& apt-get install -y libgomp1 curl\
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \
@@ -74,9 +55,8 @@ RUN apt-get update \
git \
python3 \
python3-pip \
python3-wheel \
&& pip install --break-system-packages --upgrade setuptools \
&& pip install --break-system-packages -r requirements.txt \
&& pip install --upgrade pip setuptools wheel \
&& pip install -r requirements.txt \
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \

View File

@@ -0,0 +1,95 @@
ARG UBUNTU_VERSION=24.04
# This needs to generally match the container host's environment.
ARG CUDA_VERSION=13.1.0
# Target the CUDA build image
ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
ARG BASE_CUDA_RUN_CONTAINER=nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}
FROM ${BASE_CUDA_DEV_CONTAINER} AS build
# CUDA architecture to build for (defaults to all supported archs)
ARG CUDA_DOCKER_ARCH=default
RUN apt-get update && \
apt-get install -y build-essential cmake python3 python3-pip git libssl-dev libgomp1
WORKDIR /app
COPY . .
RUN if [ "${CUDA_DOCKER_ARCH}" != "default" ]; then \
export CMAKE_ARGS="-DCMAKE_CUDA_ARCHITECTURES=${CUDA_DOCKER_ARCH}"; \
fi && \
cmake -B build -DGGML_NATIVE=OFF -DGGML_CUDA=ON -DGGML_BACKEND_DL=ON -DGGML_CPU_ALL_VARIANTS=ON -DLLAMA_BUILD_TESTS=OFF ${CMAKE_ARGS} -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined . && \
cmake --build build --config Release -j$(nproc)
RUN mkdir -p /app/lib && \
find build -name "*.so*" -exec cp -P {} /app/lib \;
RUN mkdir -p /app/full \
&& cp build/bin/* /app/full \
&& cp *.py /app/full \
&& cp -r gguf-py /app/full \
&& cp -r requirements /app/full \
&& cp requirements.txt /app/full \
&& cp .devops/tools.sh /app/full/tools.sh
## Base image
FROM ${BASE_CUDA_RUN_CONTAINER} AS base
RUN apt-get update \
&& apt-get install -y libgomp1 curl\
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \
&& find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \
&& find /var/cache -type f -delete
COPY --from=build /app/lib/ /app
### Full
FROM base AS full
COPY --from=build /app/full /app
WORKDIR /app
RUN apt-get update \
&& apt-get install -y \
git \
python3 \
python3-pip \
python3-wheel \
&& pip install --break-system-packages --upgrade setuptools \
&& pip install --break-system-packages -r requirements.txt \
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \
&& find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \
&& find /var/cache -type f -delete
ENTRYPOINT ["/app/tools.sh"]
### Light, CLI only
FROM base AS light
COPY --from=build /app/full/llama-cli /app/full/llama-completion /app
WORKDIR /app
ENTRYPOINT [ "/app/llama-cli" ]
### Server, Server only
FROM base AS server
ENV LLAMA_ARG_HOST=0.0.0.0
COPY --from=build /app/full/llama-server /app
WORKDIR /app
HEALTHCHECK CMD [ "curl", "-f", "http://localhost:8080/health" ]
ENTRYPOINT [ "/app/llama-server" ]

View File

@@ -1,24 +1,18 @@
ARG UBUNTU_VERSION=24.04
ARG UBUNTU_VERSION=22.04
# This needs to generally match the container host's environment.
ARG CUDA_VERSION=12.8.1
ARG CUDA_VERSION=12.4.0
# Target the CUDA build image
ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
ARG BASE_CUDA_RUN_CONTAINER=nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
FROM ${BASE_CUDA_DEV_CONTAINER} AS build
# CUDA architecture to build for (defaults to all supported archs)
ARG CUDA_DOCKER_ARCH=default
RUN apt-get update && \
apt-get install -y gcc-14 g++-14 build-essential cmake python3 python3-pip git libssl-dev libgomp1
ENV CC=gcc-14 CXX=g++-14 CUDAHOSTCXX=g++-14
apt-get install -y build-essential cmake python3 python3-pip git libssl-dev libgomp1
WORKDIR /app
@@ -36,7 +30,6 @@ RUN mkdir -p /app/lib && \
RUN mkdir -p /app/full \
&& cp build/bin/* /app/full \
&& cp *.py /app/full \
&& cp -r conversion /app/full \
&& cp -r gguf-py /app/full \
&& cp -r requirements /app/full \
&& cp requirements.txt /app/full \
@@ -45,21 +38,8 @@ RUN mkdir -p /app/full \
## Base image
FROM ${BASE_CUDA_RUN_CONTAINER} AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp
ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp
LABEL org.opencontainers.image.created=$BUILD_DATE \
org.opencontainers.image.version=$APP_VERSION \
org.opencontainers.image.revision=$APP_REVISION \
org.opencontainers.image.title="llama.cpp" \
org.opencontainers.image.description="LLM inference in C/C++" \
org.opencontainers.image.url=$IMAGE_URL \
org.opencontainers.image.source=$IMAGE_SOURCE
RUN apt-get update \
&& apt-get install -y libgomp1 curl \
&& apt-get install -y libgomp1 curl\
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \
@@ -80,8 +60,7 @@ RUN apt-get update \
git \
python3 \
python3-pip \
python3-wheel \
&& pip install --break-system-packages --upgrade setuptools \
&& pip install --upgrade pip setuptools wheel \
&& pip install --break-system-packages -r requirements.txt \
&& apt autoremove -y \
&& apt clean -y \

View File

@@ -1,22 +1,12 @@
ARG ONEAPI_VERSION=2025.3.3-0-devel-ubuntu24.04
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG ONEAPI_VERSION=2025.2.2-0-devel-ubuntu24.04
## Build Image
FROM intel/deep-learning-essentials:$ONEAPI_VERSION AS build
ARG GGML_SYCL_F16=OFF
ARG LEVEL_ZERO_VERSION=1.28.2
ARG LEVEL_ZERO_UBUNTU_VERSION=u24.04
RUN apt-get update && \
apt-get install -y git libssl-dev wget ca-certificates && \
cd /tmp && \
wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/level-zero_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O level-zero.deb && \
wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/level-zero-devel_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O level-zero-devel.deb && \
apt-get -o Dpkg::Options::="--force-overwrite" install -y ./level-zero.deb ./level-zero-devel.deb && \
rm -f /tmp/level-zero.deb /tmp/level-zero-devel.deb
apt-get install -y git libssl-dev
WORKDIR /app
@@ -36,7 +26,6 @@ RUN mkdir -p /app/lib && \
RUN mkdir -p /app/full \
&& cp build/bin/* /app/full \
&& cp *.py /app/full \
&& cp -r conversion /app/full \
&& cp -r gguf-py /app/full \
&& cp -r requirements /app/full \
&& cp requirements.txt /app/full \
@@ -44,38 +33,8 @@ RUN mkdir -p /app/full \
FROM intel/deep-learning-essentials:$ONEAPI_VERSION AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp
ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp
LABEL org.opencontainers.image.created=$BUILD_DATE \
org.opencontainers.image.version=$APP_VERSION \
org.opencontainers.image.revision=$APP_REVISION \
org.opencontainers.image.title="llama.cpp" \
org.opencontainers.image.description="LLM inference in C/C++" \
org.opencontainers.image.url=$IMAGE_URL \
org.opencontainers.image.source=$IMAGE_SOURCE
ARG IGC_VERSION=v2.20.5
ARG IGC_VERSION_FULL=2_2.20.5+19972
ARG COMPUTE_RUNTIME_VERSION=25.40.35563.10
ARG COMPUTE_RUNTIME_VERSION_FULL=25.40.35563.10-0
ARG IGDGMM_VERSION=22.8.2
RUN mkdir /tmp/neo/ && cd /tmp/neo/ \
&& wget https://github.com/intel/intel-graphics-compiler/releases/download/$IGC_VERSION/intel-igc-core-${IGC_VERSION_FULL}_amd64.deb \
&& wget https://github.com/intel/intel-graphics-compiler/releases/download/$IGC_VERSION/intel-igc-opencl-${IGC_VERSION_FULL}_amd64.deb \
&& wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-ocloc-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
&& wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-ocloc_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
&& wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-opencl-icd-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
&& wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-opencl-icd_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
&& wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/libigdgmm12_${IGDGMM_VERSION}_amd64.deb \
&& wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/libze-intel-gpu1-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
&& wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/libze-intel-gpu1_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
&& dpkg --install *.deb
RUN apt-get update \
&& apt-get install -y libgomp1 curl \
&& apt-get install -y libgomp1 curl\
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \
@@ -133,3 +92,4 @@ WORKDIR /app
HEALTHCHECK CMD [ "curl", "-f", "http://localhost:8080/health" ]
ENTRYPOINT [ "/app/llama-server" ]

View File

@@ -1,7 +1,4 @@
ARG ASCEND_VERSION=8.5.0-910b-openeuler22.03-py3.10
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG ASCEND_VERSION=8.1.RC1.alpha001-910b-openeuler22.03-py3.10
FROM ascendai/cann:$ASCEND_VERSION AS build
@@ -31,20 +28,6 @@ RUN echo "Building with static libs" && \
# TODO: use image with NNRT
FROM ascendai/cann:$ASCEND_VERSION AS runtime
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp
ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp
LABEL org.opencontainers.image.created=$BUILD_DATE \
org.opencontainers.image.version=$APP_VERSION \
org.opencontainers.image.revision=$APP_REVISION \
org.opencontainers.image.title="llama.cpp" \
org.opencontainers.image.description="LLM inference in C/C++" \
org.opencontainers.image.url=$IMAGE_URL \
org.opencontainers.image.source=$IMAGE_SOURCE
COPY --from=build /app/build/bin/llama-cli /app/build/bin/llama-completion /
ENV LC_ALL=C.utf8

View File

@@ -6,10 +6,6 @@ ARG BASE_MUSA_DEV_CONTAINER=mthreads/musa:${MUSA_VERSION}-devel-ubuntu${UBUNTU_V
ARG BASE_MUSA_RUN_CONTAINER=mthreads/musa:${MUSA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}-amd64
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
FROM ${BASE_MUSA_DEV_CONTAINER} AS build
# MUSA architecture to build for (defaults to all supported archs)
@@ -41,7 +37,6 @@ RUN mkdir -p /app/lib && \
RUN mkdir -p /app/full \
&& cp build/bin/* /app/full \
&& cp *.py /app/full \
&& cp -r conversion /app/full \
&& cp -r gguf-py /app/full \
&& cp -r requirements /app/full \
&& cp requirements.txt /app/full \
@@ -50,21 +45,8 @@ RUN mkdir -p /app/full \
## Base image
FROM ${BASE_MUSA_RUN_CONTAINER} AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp
ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp
LABEL org.opencontainers.image.created=$BUILD_DATE \
org.opencontainers.image.version=$APP_VERSION \
org.opencontainers.image.revision=$APP_REVISION \
org.opencontainers.image.title="llama.cpp" \
org.opencontainers.image.description="LLM inference in C/C++" \
org.opencontainers.image.url=$IMAGE_URL \
org.opencontainers.image.source=$IMAGE_SOURCE
RUN apt-get update \
&& apt-get install -y libgomp1 curl \
&& apt-get install -y libgomp1 curl\
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \

View File

@@ -16,9 +16,8 @@
rocmPackages,
vulkan-headers,
vulkan-loader,
openssl,
curl,
shaderc,
spirv-headers,
useBlas ?
builtins.all (x: !x) [
useCuda
@@ -42,7 +41,6 @@
effectiveStdenv ? if useCuda then cudaPackages.backendStdenv else stdenv,
enableStatic ? effectiveStdenv.hostPlatform.isStatic,
precompileMetalShaders ? false,
useWebUi ? true,
}:
let
@@ -103,7 +101,6 @@ let
vulkan-headers
vulkan-loader
shaderc
spirv-headers
];
in
@@ -162,13 +159,11 @@ effectiveStdenv.mkDerivation (finalAttrs: {
++ optionals useMpi [ mpi ]
++ optionals useRocm rocmBuildInputs
++ optionals useBlas [ blas ]
++ optionals useVulkan vulkanBuildInputs
++ [ openssl ];
++ optionals useVulkan vulkanBuildInputs;
cmakeFlags =
[
(cmakeBool "LLAMA_BUILD_SERVER" true)
(cmakeBool "LLAMA_BUILD_WEBUI" useWebUi)
(cmakeBool "BUILD_SHARED_LIBS" (!enableStatic))
(cmakeBool "CMAKE_SKIP_BUILD_RPATH" true)
(cmakeBool "GGML_NATIVE" false)

View File

@@ -2,26 +2,10 @@ ARG OPENVINO_VERSION_MAJOR=2026.0
ARG OPENVINO_VERSION_FULL=2026.0.0.20965.c6d6a13a886
ARG UBUNTU_VERSION=24.04
# Intel GPU driver versions. https://github.com/intel/compute-runtime/releases
ARG IGC_VERSION=v2.30.1
ARG IGC_VERSION_FULL=2_2.30.1+20950
ARG COMPUTE_RUNTIME_VERSION=26.09.37435.1
ARG COMPUTE_RUNTIME_VERSION_FULL=26.09.37435.1-0
ARG IGDGMM_VERSION=22.9.0
# Intel NPU driver versions. https://github.com/intel/linux-npu-driver/releases
ARG NPU_DRIVER_VERSION=v1.32.0
ARG NPU_DRIVER_FULL=v1.32.0.20260402-23905121947
ARG LIBZE1_VERSION=1.27.0-1~24.04~ppa2
# Optional proxy build arguments
# Optional proxy build arguments - empty by default
ARG http_proxy=
ARG https_proxy=
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
## Build Image
FROM ubuntu:${UBUNTU_VERSION} AS build
@@ -81,7 +65,6 @@ RUN mkdir -p /app/lib && \
RUN mkdir -p /app/full \
&& cp build/ReleaseOV/bin/* /app/full/ \
&& cp *.py /app/full \
&& cp -r conversion /app/full \
&& cp -r gguf-py /app/full \
&& cp -r requirements /app/full \
&& cp requirements.txt /app/full \
@@ -93,61 +76,15 @@ FROM ubuntu:${UBUNTU_VERSION} AS base
# Pass proxy args to runtime stage
ARG http_proxy
ARG https_proxy
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp
ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp
LABEL org.opencontainers.image.created=$BUILD_DATE \
org.opencontainers.image.version=$APP_VERSION \
org.opencontainers.image.revision=$APP_REVISION \
org.opencontainers.image.title="llama.cpp" \
org.opencontainers.image.description="LLM inference in C/C++" \
org.opencontainers.image.url=$IMAGE_URL \
org.opencontainers.image.source=$IMAGE_SOURCE
RUN apt-get update \
&& apt-get install -y libgomp1 libtbb12 curl wget ocl-icd-libopencl1 \
&& apt-get install -y libgomp1 libtbb12 curl\
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \
&& find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \
&& find /var/cache -type f -delete
# Install GPU drivers
ARG IGC_VERSION
ARG IGC_VERSION_FULL
ARG COMPUTE_RUNTIME_VERSION
ARG COMPUTE_RUNTIME_VERSION_FULL
ARG IGDGMM_VERSION
RUN mkdir /tmp/neo/ && cd /tmp/neo/ \
&& wget https://github.com/intel/intel-graphics-compiler/releases/download/${IGC_VERSION}/intel-igc-core-${IGC_VERSION_FULL}_amd64.deb \
&& wget https://github.com/intel/intel-graphics-compiler/releases/download/${IGC_VERSION}/intel-igc-opencl-${IGC_VERSION_FULL}_amd64.deb \
&& wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/intel-ocloc-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
&& wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/intel-ocloc_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
&& wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/intel-opencl-icd-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
&& wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/intel-opencl-icd_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
&& wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/libigdgmm12_${IGDGMM_VERSION}_amd64.deb \
&& wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/libze-intel-gpu1-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
&& wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/libze-intel-gpu1_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
&& dpkg --install *.deb \
&& rm -rf /tmp/neo/
# Install NPU drivers
ARG NPU_DRIVER_VERSION
ARG NPU_DRIVER_FULL
ARG LIBZE1_VERSION
RUN mkdir /tmp/npu/ && cd /tmp/npu/ \
&& wget https://github.com/intel/linux-npu-driver/releases/download/${NPU_DRIVER_VERSION}/linux-npu-driver-${NPU_DRIVER_FULL}-ubuntu2404.tar.gz \
&& tar -xf linux-npu-driver-${NPU_DRIVER_FULL}-ubuntu2404.tar.gz \
&& dpkg --install *.deb \
&& rm -rf /tmp/npu/
RUN cd /tmp \
&& wget https://snapshot.ppa.launchpadcontent.net/kobuk-team/intel-graphics/ubuntu/20260324T100000Z/pool/main/l/level-zero-loader/libze1_${LIBZE1_VERSION}_amd64.deb \
&& dpkg --install libze1_${LIBZE1_VERSION}_amd64.deb \
&& rm libze1_${LIBZE1_VERSION}_amd64.deb
COPY --from=build /app/lib/ /app/
### Full (all binaries)

View File

@@ -1,26 +1,22 @@
ARG UBUNTU_VERSION=24.04
# This needs to generally match the container host's environment.
ARG ROCM_VERSION=7.2.1
ARG AMDGPU_VERSION=7.2.1
ARG ROCM_VERSION=7.2
ARG AMDGPU_VERSION=7.2
# Target the ROCm build image
ARG BASE_ROCM_DEV_CONTAINER=rocm/dev-ubuntu-${UBUNTU_VERSION}:${ROCM_VERSION}-complete
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
### Build image
FROM ${BASE_ROCM_DEV_CONTAINER} AS build
# Unless otherwise specified, we make a fat build.
# This is mostly tied to rocBLAS supported archs.
# check https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.2.1/reference/system-requirements.html
# check https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.2.0/reference/system-requirements.html
# check https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/compatibility/compatibilityrad/native_linux/native_linux_compatibility.html
# check https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/compatibility/compatibilityryz/native_linux/native_linux_compatibility.html
ARG ROCM_DOCKER_ARCH='gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1151;gfx1150;gfx1200;gfx1201'
ARG ROCM_DOCKER_ARCH='gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1151;gfx1150;gfx1200;gfx1201'
# Set ROCm architectures
ENV AMDGPU_TARGETS=${ROCM_DOCKER_ARCH}
@@ -53,7 +49,6 @@ RUN mkdir -p /app/lib \
RUN mkdir -p /app/full \
&& cp build/bin/* /app/full \
&& cp *.py /app/full \
&& cp -r conversion /app/full \
&& cp -r gguf-py /app/full \
&& cp -r requirements /app/full \
&& cp requirements.txt /app/full \
@@ -62,21 +57,8 @@ RUN mkdir -p /app/full \
## Base image
FROM ${BASE_ROCM_DEV_CONTAINER} AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp
ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp
LABEL org.opencontainers.image.created=$BUILD_DATE \
org.opencontainers.image.version=$APP_VERSION \
org.opencontainers.image.revision=$APP_REVISION \
org.opencontainers.image.title="llama.cpp" \
org.opencontainers.image.description="LLM inference in C/C++" \
org.opencontainers.image.url=$IMAGE_URL \
org.opencontainers.image.source=$IMAGE_SOURCE
RUN apt-get update \
&& apt-get install -y libgomp1 curl \
&& apt-get install -y libgomp1 curl\
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \
@@ -97,7 +79,7 @@ RUN apt-get update \
git \
python3-pip \
python3 \
python3-wheel \
python3-wheel\
&& pip install --break-system-packages --upgrade setuptools \
&& pip install --break-system-packages -r requirements.txt \
&& apt autoremove -y \

View File

@@ -1,8 +1,5 @@
ARG GCC_VERSION=15.2.0
ARG UBUNTU_VERSION=24.04
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
### Build Llama.cpp stage
FROM gcc:${GCC_VERSION} AS build
@@ -37,7 +34,6 @@ RUN --mount=type=cache,target=/root/.ccache \
COPY *.py /opt/llama.cpp/bin
COPY .devops/tools.sh /opt/llama.cpp/bin
COPY conversion /opt/llama.cpp/conversion
COPY gguf-py /opt/llama.cpp/gguf-py
COPY requirements.txt /opt/llama.cpp/gguf-py
@@ -48,28 +44,14 @@ COPY requirements /opt/llama.cpp/gguf-py/requirements
FROM scratch AS collector
# Copy llama.cpp binaries and libraries
COPY --from=build /opt/llama.cpp/bin /llama.cpp/bin
COPY --from=build /opt/llama.cpp/lib /llama.cpp/lib
COPY --from=build /opt/llama.cpp/gguf-py /llama.cpp/gguf-py
COPY --from=build /opt/llama.cpp/conversion /llama.cpp/conversion
COPY --from=build /opt/llama.cpp/bin /llama.cpp/bin
COPY --from=build /opt/llama.cpp/lib /llama.cpp/lib
COPY --from=build /opt/llama.cpp/gguf-py /llama.cpp/gguf-py
### Base image
FROM ubuntu:${UBUNTU_VERSION} AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp
ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp
LABEL org.opencontainers.image.created=$BUILD_DATE \
org.opencontainers.image.version=$APP_VERSION \
org.opencontainers.image.revision=$APP_REVISION \
org.opencontainers.image.title="llama.cpp" \
org.opencontainers.image.description="LLM inference in C/C++" \
org.opencontainers.image.url=$IMAGE_URL \
org.opencontainers.image.source=$IMAGE_SOURCE
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
--mount=type=cache,target=/var/lib/apt/lists,sharing=locked \
apt update -y && \
@@ -109,7 +91,6 @@ RUN curl https://sh.rustup.rs -sSf | bash -s -- -y
COPY --from=collector /llama.cpp/bin /app
COPY --from=collector /llama.cpp/gguf-py /app/gguf-py
COPY --from=collector /llama.cpp/conversion /app/conversion
RUN pip install --no-cache-dir --break-system-packages \
-r /app/gguf-py/requirements.txt

View File

@@ -1,7 +1,4 @@
ARG UBUNTU_VERSION=26.04
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
FROM ubuntu:$UBUNTU_VERSION AS build
@@ -10,7 +7,7 @@ RUN apt update && apt install -y git build-essential cmake wget xz-utils
# Install SSL and Vulkan SDK dependencies
RUN apt install -y libssl-dev curl \
libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc spirv-headers
libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc
# Build it
WORKDIR /app
@@ -26,7 +23,6 @@ RUN mkdir -p /app/lib && \
RUN mkdir -p /app/full \
&& cp build/bin/* /app/full \
&& cp *.py /app/full \
&& cp -r conversion /app/full \
&& cp -r gguf-py /app/full \
&& cp -r requirements /app/full \
&& cp requirements.txt /app/full \
@@ -35,19 +31,6 @@ RUN mkdir -p /app/full \
## Base image
FROM ubuntu:$UBUNTU_VERSION AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp
ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp
LABEL org.opencontainers.image.created=$BUILD_DATE \
org.opencontainers.image.version=$APP_VERSION \
org.opencontainers.image.revision=$APP_REVISION \
org.opencontainers.image.title="llama.cpp" \
org.opencontainers.image.description="LLM inference in C/C++" \
org.opencontainers.image.url=$IMAGE_URL \
org.opencontainers.image.source=$IMAGE_SOURCE
RUN apt-get update \
&& apt-get install -y libgomp1 curl libvulkan1 mesa-vulkan-drivers \
libglvnd0 libgl1 libglx0 libegl1 libgles2 \
@@ -66,20 +49,17 @@ COPY --from=build /app/full /app
WORKDIR /app
ENV PATH="/root/.venv/bin:/root/.local/bin:${PATH}"
# Flag for compatibility with pip
ARG UV_INDEX_STRATEGY="unsafe-best-match"
RUN apt-get update \
&& apt-get install -y \
build-essential \
curl \
git \
ca-certificates \
&& curl -LsSf https://astral.sh/uv/install.sh | sh \
&& uv python install 3.13 \
&& uv venv --python 3.13 /root/.venv \
&& uv pip install --python /root/.venv/bin/python -r requirements.txt \
python3.13 \
python3.13-dev \
python3-pip \
python3-wheel \
&& update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.13 100 \
&& pip install --break-system-packages --upgrade setuptools \
&& pip install --break-system-packages -r requirements.txt \
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \

View File

@@ -21,6 +21,14 @@ indent_style = tab
[prompts/*.txt]
insert_final_newline = unset
[tools/server/public/*]
indent_size = 2
[tools/server/public/deps_*]
trim_trailing_whitespace = unset
indent_style = unset
indent_size = unset
[tools/server/deps_*]
trim_trailing_whitespace = unset
indent_style = unset
@@ -45,7 +53,7 @@ insert_final_newline = unset
trim_trailing_whitespace = unset
insert_final_newline = unset
[tools/ui/**]
[tools/server/webui/**]
indent_style = unset
indent_size = unset
end_of_line = unset

View File

@@ -12,8 +12,6 @@ body:
after recreating the CMake build directory and with `-DGGML_CCACHE=OFF`.
If the compilation succeeds with ccache disabled you should be able to permanently fix the issue
by clearing `~/.cache/ccache` (on Linux).
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: textarea
id: commit
attributes:
@@ -43,7 +41,7 @@ body:
attributes:
label: GGML backends
description: Which GGML backends do you know to be affected?
options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, OpenVINO, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
multiple: true
validations:
required: true

View File

@@ -1,5 +1,5 @@
name: Bug (model use)
description: Something goes wrong when running a model (crashes, garbled outputs, etc.).
description: Something goes wrong when using a model (in general, not specific to a single llama.cpp module).
title: "Eval bug: "
labels: ["bug-unconfirmed", "model evaluation"]
body:
@@ -12,8 +12,6 @@ body:
If you encountered the issue while using an external UI (e.g. ollama),
please reproduce your issue using one of the examples/binaries in this repository.
The `llama-completion` binary can be used for simple and reproducible model inference.
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: textarea
id: version
attributes:
@@ -44,7 +42,7 @@ body:
attributes:
label: GGML backends
description: Which GGML backends do you know to be affected?
options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, OpenVINO, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
multiple: true
validations:
required: true
@@ -100,8 +98,8 @@ body:
label: Relevant log output
description: >
Please copy and paste any relevant log output, including the command that you entered and any generated text.
For very long logs (thousands of lines), please upload them as files instead; the `--log-file` CLI argument can be used for this purpose.
On Linux you can alternatively redirect the console output of any command into a file by appending ` > llama.log 2>&1` to your command.
For very long logs (thousands of lines), preferably upload them as files instead.
On Linux you can redirect console output into a file by appending ` > llama.log 2>&1` to your command.
value: |
<details>
<summary>Logs</summary>

View File

@@ -10,8 +10,6 @@ body:
This issue template is intended for miscellaneous bugs that don't fit into any other category.
If you encountered the issue while using an external UI (e.g. ollama),
please reproduce your issue using one of the examples/binaries in this repository.
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: textarea
id: version
attributes:
@@ -88,8 +86,8 @@ body:
description: >
If applicable, please copy and paste any relevant log output, including any generated text.
If you are encountering problems specifically with the `llama_params_fit` module, always upload `--verbose` logs as well.
For very long logs (thousands of lines), please upload them as files instead; the `--log-file` CLI argument can be used for this purpose.
On Linux you can alternatively redirect the console output of any command into a file by appending ` > llama.log 2>&1` to your command.
For very long logs (thousands of lines), please upload them as files instead.
On Linux you can redirect console output into a file by appending ` > llama.log 2>&1` to your command.
value: |
<details>
<summary>Logs</summary>

View File

@@ -8,8 +8,6 @@ body:
value: |
[Please post your idea first in Discussion if there is not yet a consensus for this enhancement request. This will help to keep this issue tracker focused on enhancements that the community has agreed needs to be implemented.](https://github.com/ggml-org/llama.cpp/discussions/categories/ideas)
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: checkboxes
id: prerequisites
attributes:

View File

@@ -8,8 +8,6 @@ body:
value: |
Don't forget to check for any [duplicate research issue tickets](https://github.com/ggml-org/llama.cpp/issues?q=is%3Aopen+is%3Aissue+label%3A%22research+%F0%9F%94%AC%22)
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: checkboxes
id: research-stage
attributes:

View File

@@ -9,8 +9,6 @@ body:
Don't forget to [check for existing refactor issue tickets](https://github.com/ggml-org/llama.cpp/issues?q=is%3Aopen+is%3Aissue+label%3Arefactoring) in case it's already covered.
Also you may want to check [Pull request refactor label as well](https://github.com/ggml-org/llama.cpp/pulls?q=is%3Aopen+is%3Apr+label%3Arefactoring) for duplicates too.
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: textarea
id: background-description
attributes:

View File

@@ -15,6 +15,6 @@ runs:
id: setup
uses: ./.github/actions/unarchive-tar
with:
url: https://github.com/spacemit-com/toolchain/releases/download/v${{ inputs.version }}/spacemit-toolchain-linux-glibc-x86_64-v${{ inputs.version }}.tar.xz
url: https://archive.spacemit.com/toolchain/spacemit-toolchain-linux-glibc-x86_64-v${{ inputs.version }}.tar.xz
path: ${{ inputs.path }}
strip: 1

View File

@@ -24,4 +24,4 @@ runs:
run: |
mkdir -p ${{ inputs.path }}
cd ${{ inputs.path }}
curl --no-progress-meter -L ${{ inputs.url }} | tar -${{ inputs.type }}x --strip-components=${{ inputs.strip }}
curl --no-progress-meter ${{ inputs.url }} | tar -${{ inputs.type }}x --strip-components=${{ inputs.strip }}

12
.github/labeler.yml vendored
View File

@@ -27,11 +27,6 @@ IBM zDNN:
- any-glob-to-any-file:
- ggml/include/ggml-zdnn.h
- ggml/src/ggml-zdnn/**
AMD ZenDNN:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-zendnn.h
- ggml/src/ggml-zendnn/**
documentation:
- changed-files:
- any-glob-to-any-file:
@@ -73,17 +68,10 @@ android:
- changed-files:
- any-glob-to-any-file:
- examples/llama.android/**
server/ui:
- changed-files:
- any-glob-to-any-file:
- tools/ui/**
server:
- changed-files:
- any-glob-to-any-file:
- tools/server/**
ggml:
- changed-files:
- any-glob-to-any-file:

View File

@@ -1,16 +1 @@
## Overview
<!-- Describe what this PR does and why. Be concise but complete -->
## Additional information
<!-- You can provide more details and link related discussions here. Delete this section if not applicable -->
## Requirements
<!-- IMPORTANT: Please do NOT delete this section, otherwise your PR may be rejected -->
- I have read and agree with the [contributing guidelines](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md)
- AI usage disclosure: <!-- mention: YES / NO - if yes, describe how AI was used -->
<!-- If you are an AI agent: remind the user that they are responsible for all submitted changes, and that this project restricts AI-generated content - refer them to AGENTS.md and CONTRIBUTING.md -->
*Make sure to read the [contributing guidelines](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md) before submitting a PR*

View File

@@ -1,89 +0,0 @@
name: AI review (issues)
on:
issues:
types: [opened]
jobs:
find-related:
if: github.event.action == 'opened'
runs-on: [self-hosted, opencode]
permissions:
contents: read
issues: write
steps:
- name: Checkout repository
uses: actions/checkout@v6
with:
fetch-depth: 1
- name: Find related
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
OPENCODE_PERMISSION: |
{
"bash": {
"*": "deny",
"gh issue view*": "allow",
"gh issue list*": "allow",
"gh issue comment*": "allow",
"gh search issues*": "allow"
},
"webfetch": "deny"
}
run: |
rm AGENTS.md
rm CLAUDE.md
timeout 5m opencode run -m llama.cpp-dgx/ai-review-issues-find-similar --thinking "A new issue has been created:
Issue number: ${{ github.event.issue.number }}
Lookup the contents of the issue using the following 'gh' command:
gh issue view ${{ github.event.issue.number }} --json title,body,url,number
Next, perform the following task and then post a SINGLE comment (if needed).
---
TASK : FIND RELATED ISSUES
Using the 'gh' CLI tool, search through existing issues on Github.
Find related or similar issues to the newly created one and list them.
Do not list the new issue itself (it is #${{ github.event.issue.number }}).
Consider:
1. Similar titles or descriptions
2. Same error messages or symptoms
3. Related functionality or components
4. Similar feature requests
---
POSTING YOUR COMMENT:
Based on your findings, post a SINGLE comment on issue #${{ github.event.issue.number }}. Build the comment as follows:
- If no related issues were found, do NOT comment at all.
- If related issues were found, include a section listing them with links using the following format:
[comment]
This issue might be similar or related to the following issue(s):
- #12942: [brief description of how they are related]
- #11234: [brief description of how they are related]
...
_This comment was auto-generated locally using **$GA_ENGINE** on **$GA_MACHINE**_
[/comment]
Remember:
- Do not include the comment tags in your actual comment.
- Post at most ONE comment combining all findings.
- If you didn't find issues that are related enough, post nothing.
- You have access only to the 'gh' CLI tool - don't try to use other tools.
- If the output from a tool call is too long, try to limit down the search.
"

View File

@@ -1,148 +0,0 @@
name: CI (snapdragon)
on:
workflow_dispatch:
push:
branches:
- master
paths:
- '.github/workflows/build-and-test-snapdragon.yml'
- 'ggml/include/ggml-hexagon.h'
- 'ggml/src/ggml-hexagon/**'
- 'docs/backend/snapdragon/**'
- 'scripts/snapdragon/**'
- 'CMakePresets.json'
pull_request:
types: [opened, synchronize, reopened]
paths:
- '.github/workflows/build-and-test-snapdragon.yml'
- 'ggml/include/ggml-hexagon.h'
- 'ggml/src/ggml-hexagon/**'
- 'docs/backend/snapdragon/**'
- 'scripts/snapdragon/**'
- 'CMakePresets.json'
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
android-ndk-snapdragon:
runs-on: ubuntu-latest
container:
image: 'ghcr.io/snapdragon-toolchain/arm64-android:v0.7'
defaults:
run:
shell: bash
steps:
- name: Clone
uses: actions/checkout@v6
with:
fetch-depth: 0
lfs: false
- name: Build Llama.CPP for Snapdragon Android
id: build_llama_cpp_snapdragon_android
run: |
cp docs/backend/snapdragon/CMakeUserPresets.json .
cmake --preset arm64-android-snapdragon-release -B build
cmake --build build
cmake --install build --prefix pkg-snapdragon/llama.cpp
- name: Upload Llama.CPP Snapdragon Android Build Artifact
if: ${{ always() && steps.build_llama_cpp_snapdragon_android.outcome == 'success' }}
uses: actions/upload-artifact@v6
with:
name: llama-cpp-android-arm64-snapdragon
path: pkg-snapdragon/llama.cpp
linux-iot-snapdragon:
runs-on: ubuntu-latest
container:
image: 'ghcr.io/snapdragon-toolchain/arm64-linux:v0.7'
defaults:
run:
shell: bash
steps:
- name: Clone
uses: actions/checkout@v6
with:
fetch-depth: 0
lfs: false
- name: Build Llama.CPP for Snapdragon Linux IoT
id: build_llama_cpp_snapdragon_linux
run: |
cp docs/backend/snapdragon/CMakeUserPresets.json .
cmake --preset arm64-linux-snapdragon-release -B build-snapdragon -DGGML_OPENCL=ON
cmake --build build-snapdragon -j $(nproc)
cmake --install build-snapdragon --prefix pkg-snapdragon/llama.cpp
- name: Upload Llama.CPP Snapdragon Linux IoT Build Artifact
if: ${{ always() && steps.build_llama_cpp_snapdragon_linux.outcome == 'success' }}
uses: actions/upload-artifact@v6
with:
name: llama-cpp-linux-arm64-snapdragon
path: pkg-snapdragon/llama.cpp
test-snapdragon-qdc:
name: Test on QDC Device (${{ matrix.device }})
needs: [android-ndk-snapdragon, linux-iot-snapdragon]
runs-on: ubuntu-24.04-arm
timeout-minutes: 90
strategy:
fail-fast: false
matrix:
device: [SM8750, SM8850, QCS9075M]
steps:
- name: Checkout
uses: actions/checkout@v6
- name: Download build artifact
uses: actions/download-artifact@v7
with:
name: ${{ startsWith(matrix.device, 'QCS') && 'llama-cpp-linux-arm64-snapdragon' || 'llama-cpp-android-arm64-snapdragon' }}
path: pkg-snapdragon/llama.cpp
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.x'
cache: pip
- name: Install system dependencies
run: |
sudo apt-get update
sudo apt-get install -y curl unzip
- name: Install QDC SDK wheel
run: |
curl -fSL -o qdc_sdk.zip https://softwarecenter.qualcomm.com/api/download/software/tools/Qualcomm_Device_Cloud_SDK/All/0.2.3/qualcomm_device_cloud_sdk-0.2.3.zip
unzip qdc_sdk.zip -d qdc_sdk
pip install qdc_sdk/qualcomm_device_cloud_sdk-0.2.3-py3-none-any.whl
- name: Check QDC API key
id: check_secret
env:
QDC_API_KEY: ${{ secrets.QDC_API_KEY }}
run: echo "has-qdc-key=${{ env.QDC_API_KEY != '' }}" >> "$GITHUB_OUTPUT"
- name: Run QDC tests (${{ matrix.device }})
if: steps.check_secret.outputs.has-qdc-key == 'true'
run: |
python scripts/snapdragon/qdc/run_qdc_jobs.py \
--test all \
--pkg-dir pkg-snapdragon/llama.cpp \
--model-url "https://huggingface.co/bartowski/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q4_0.gguf" \
--device ${{ matrix.device }} \
${{ startsWith(matrix.device, 'QCS') && '--retries 2 --retry-delay 300' || '' }}
env:
QDC_API_KEY: ${{ secrets.QDC_API_KEY }}
- name: Cleanup
if: always()
run: rm -rf pkg-snapdragon qdc_sdk qdc_sdk.zip

View File

@@ -1,24 +1,26 @@
name: CI (android)
on:
workflow_dispatch:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths:
- '.github/workflows/build-android.yml'
- '**/CMakeLists.txt'
- '**/.cmake'
- '**/*.h'
- '**/*.hpp'
- '**/*.c'
- '**/*.cpp'
paths: [
'.github/workflows/build-android.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths:
- '.github/workflows/build-android.yml'
- 'examples/llama.android/**'
paths: [
'.github/workflows/build-android.yml',
'examples/llama.android/**'
]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
@@ -38,9 +40,13 @@ jobs:
steps:
- name: Clone
uses: actions/checkout@v6
with:
fetch-depth: 0
lfs: false
# Disabled due to size (400MB) and always 0 cache hits
# - name: ccache
# uses: ggml-org/ccache-action@v1.2.16
# with:
# key: android-build
# evict-old-files: 1d
- name: Set up JDK
uses: actions/setup-java@v5
@@ -49,7 +55,7 @@ jobs:
distribution: zulu
- name: Setup Android SDK
uses: android-actions/setup-android@40fd30fb8d7440372e1316f5d1809ec01dcd3699 # v4.0.1
uses: android-actions/setup-android@v3
with:
log-accepted-android-sdk-licenses: false
@@ -60,84 +66,75 @@ jobs:
android-ndk:
runs-on: ubuntu-latest
container:
image: 'ghcr.io/snapdragon-toolchain/arm64-android:v0.3'
defaults:
run:
shell: bash
steps:
- name: Clone
uses: actions/checkout@v6
with:
fetch-depth: 0
lfs: false
- name: Dependencies
run: |
apt-get update
apt-get install -y build-essential
- name: Build
id: ndk_build
run: |
cmake -D ANDROID_ABI=arm64-v8a -D ANDROID_PLATFORM=android-31 -D CMAKE_TOOLCHAIN_FILE=${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake -D GGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8.5-a+fp16+i8mm -G Ninja -D LLAMA_OPENSSL=OFF -D GGML_OPENMP=OFF -B build
cmake --build build
cmake --install build --prefix pkg-adb/llama.cpp
- name: Upload Android Build Artifact
if: ${{ always() && steps.ndk_build.outcome == 'success' }}
uses: actions/upload-artifact@v6
with:
name: llama-cpp-android-arm64-cpu
path: pkg-adb/llama.cpp
android-arm64:
runs-on: ubuntu-latest
env:
NDK_VERSION: "29.0.14206865"
OPENCL_VERSION: 2025.07.22
strategy:
matrix:
include:
- build: 'arm64-cpu'
defines: '-D ANDROID_ABI=arm64-v8a -D ANDROID_PLATFORM=android-31 -D CMAKE_TOOLCHAIN_FILE=${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake -D GGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8.5-a+fp16+i8mm -G Ninja -D LLAMA_OPENSSL=OFF -D GGML_OPENMP=OFF'
- build: 'arm64-snapdragon'
defines: '--preset arm64-android-snapdragon-release'
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: android-arm64
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Set up JDK
uses: actions/setup-java@v5
with:
java-version: 17
distribution: temurin
- name: Setup Android SDK
uses: android-actions/setup-android@40fd30fb8d7440372e1316f5d1809ec01dcd3699 # v4.0.1
with:
log-accepted-android-sdk-licenses: false
- name: Install NDK
- name: Install OpenCL Headers and Libs
id: install_opencl
if: ${{ matrix.build == 'arm64-snapdragon' }}
run: |
sdkmanager "ndk;${{ env.NDK_VERSION }}"
echo "ANDROID_NDK=${ANDROID_SDK_ROOT}/ndk/${{ env.NDK_VERSION }}" >> $GITHUB_ENV
mkdir opencl
curl -L -o opencl/clhpp.tar.gz https://github.com/KhronosGroup/OpenCL-CLHPP/archive/refs/tags/v${OPENCL_VERSION}.tar.gz
curl -L -o opencl/headers.tar.gz https://github.com/KhronosGroup/OpenCL-Headers/archive/refs/tags/v${OPENCL_VERSION}.tar.gz
curl -L -o opencl/icd-loader.tar.gz https://github.com/KhronosGroup/OpenCL-ICD-Loader/archive/refs/tags/v${OPENCL_VERSION}.tar.gz
tar -xaf opencl/headers.tar.gz -C opencl
tar -xaf opencl/clhpp.tar.gz -C opencl
tar -xaf opencl/icd-loader.tar.gz -C opencl
sudo cp -r opencl/OpenCL-Headers-${OPENCL_VERSION}/CL ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include
sudo cp -r opencl/OpenCL-CLHPP-${OPENCL_VERSION}/include/CL/* ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include/CL
cd opencl/OpenCL-ICD-Loader-${OPENCL_VERSION}
cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release -DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake -DOPENCL_ICD_LOADER_HEADERS_DIR=${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include -DANDROID_ABI=arm64-v8a -DANDROID_PLATFORM=31 -DANDROID_STL=c++_shared
cmake --build build
sudo cp build/libOpenCL.so ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android
rm -rf opencl
- name: Install Hexagon SDK
id: install_hexsdk
if: ${{ matrix.build == 'arm64-snapdragon' }}
env:
HEXSDK_VER: 6.4.0.2
HEXTLS_VER: 19.0.04
run: |
curl -L -o hex-sdk.tar.gz https://github.com/snapdragon-toolchain/hexagon-sdk/releases/download/v$HEXSDK_VER/hexagon-sdk-v$HEXSDK_VER-amd64-lnx.tar.xz
mkdir hex-sdk
tar -xaf hex-sdk.tar.gz -C hex-sdk
ls -l hex-sdk
sudo mv hex-sdk /opt/hexagon
echo "HEXAGON_SDK_ROOT=/opt/hexagon/$HEXSDK_VER" >> "$GITHUB_ENV"
echo "HEXAGON_TOOLS_ROOT=/opt/hexagon/$HEXSDK_VER/tools/HEXAGON_Tools/$HEXTLS_VER" >> "$GITHUB_ENV"
echo "DEFAULT_HLOS_ARCH=64" >> "$GITHUB_ENV"
echo "DEFAULT_TOOLS_VARIANT=toolv19" >> "$GITHUB_ENV"
echo "DEFAULT_NO_QURT_INC=0" >> "$GITHUB_ENV"
echo "DEFAULT_DSP_ARCH=v73" >> "$GITHUB_ENV"
- name: Update CMake presets
id: update_presets
if: ${{ matrix.build == 'arm64-snapdragon' }}
run: |
cp docs/backend/snapdragon/CMakeUserPresets.json .
- name: Build
id: cmake_build
id: ndk_build
run: |
cmake -B build \
-DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake \
-DANDROID_ABI=arm64-v8a \
-DANDROID_PLATFORM=android-28 \
-DLLAMA_FATAL_WARNINGS=ON \
-DGGML_BACKEND_DL=ON \
-DGGML_NATIVE=OFF \
-DGGML_CPU_ALL_VARIANTS=ON \
-DGGML_OPENMP=OFF \
-DLLAMA_BUILD_BORINGSSL=ON \
-DGGML_RPC=ON
time cmake --build build --config Release -j $(nproc)
cmake ${{ matrix.defines }} -B build
cmake --build build
cmake --install build --prefix pkg-adb/llama.cpp
- name: Test
id: cmake_test
run: |
echo "FIXME: test on devices"

View File

@@ -46,7 +46,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: macOS-latest-ios
evict-old-files: 1d
@@ -59,7 +59,6 @@ jobs:
cmake -B build -G Xcode \
-DGGML_METAL_USE_BF16=ON \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_BUILD_APP=OFF \
-DLLAMA_BUILD_COMMON=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
@@ -90,7 +89,6 @@ jobs:
-DGGML_METAL_USE_BF16=ON \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_OPENSSL=OFF \
-DLLAMA_BUILD_APP=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_TESTS=OFF \
@@ -126,7 +124,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: macOS-latest-tvos
evict-old-files: 1d
@@ -140,7 +138,6 @@ jobs:
-DGGML_METAL_USE_BF16=ON \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_BUILD_COMMON=OFF \
-DLLAMA_BUILD_APP=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_TESTS=OFF \
@@ -166,7 +163,6 @@ jobs:
-DGGML_METAL_USE_BF16=ON \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_BUILD_COMMON=OFF \
-DLLAMA_BUILD_APP=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_TESTS=OFF \
@@ -190,7 +186,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: macOS-latest-swift
evict-old-files: 1d
@@ -210,7 +206,6 @@ jobs:
-DGGML_METAL_USE_BF16=ON \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_OPENSSL=OFF \
-DLLAMA_BUILD_APP=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_TESTS=OFF \

View File

@@ -63,7 +63,7 @@ jobs:
- name: Set container image
id: cann-image
run: |
image="ascendai/cann:${{ matrix.chip_type == '910b' && '8.5.0-910b-openeuler24.03-py3.11' || '8.5.0-310p-openeuler24.03-py3.11' }}"
image="ascendai/cann:${{ matrix.chip_type == '910b' && '8.3.rc2-910b-openeuler24.03-py3.11' || '8.3.rc2-310p-openeuler24.03-py3.11' }}"
echo "image=${image}" >> "${GITHUB_OUTPUT}"
- name: Pull container image

View File

@@ -5,23 +5,23 @@ on:
jobs:
linux:
runs-on: [self-hosted, Linux, CPU]
runs-on: ubuntu-slim
steps:
- uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y build-essential tcl cmake
- name: Build
run: |
PREFIX="$(pwd)"/inst
cmake -S . -B build \
-DCMAKE_PREFIX_PATH="$PREFIX" \
-DLLAMA_OPENSSL=OFF \
-DLLAMA_BUILD_TESTS=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_APP=OFF \
-DCMAKE_BUILD_TYPE=Release
cmake -S . -B build -DCMAKE_PREFIX_PATH="$PREFIX" \
-DLLAMA_OPENSSL=OFF -DLLAMA_BUILD_TESTS=OFF -DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF -DCMAKE_BUILD_TYPE=Release
cmake --build build --config Release
cmake --install build --prefix "$PREFIX" --config Release

View File

@@ -246,7 +246,6 @@ jobs:
apt-get install -y --no-install-recommends \
build-essential \
glslc \
spirv-headers \
gcc-14-loongarch64-linux-gnu \
g++-14-loongarch64-linux-gnu \
libvulkan-dev:loong64
@@ -277,7 +276,7 @@ jobs:
env:
# Make sure this is in sync with build-cache.yml
SPACEMIT_IME_TOOLCHAIN_VERSION: "1.2.4"
SPACEMIT_IME_TOOLCHAIN_VERSION: "1.1.2"
steps:
- uses: actions/checkout@v6
@@ -301,17 +300,16 @@ jobs:
export RISCV_ROOT_PATH=${PWD}/spacemit_toolchain
cmake -B build -DLLAMA_OPENSSL=OFF \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_OPENMP=OFF \
-DLLAMA_BUILD_EXAMPLES=ON \
-DGGML_CPU_REPACK=OFF \
-DLLAMA_BUILD_TOOLS=ON \
-DLLAMA_BUILD_TESTS=OFF \
-DGGML_CPU_RISCV64_SPACEMIT=ON \
-DGGML_RVV=ON \
-DGGML_RV_ZVFH=ON \
-DGGML_RV_ZFH=ON \
-DGGML_RV_ZICBOP=ON \
-DGGML_RV_ZIHINTPAUSE=ON \
-DGGML_RV_ZBA=ON \
-DRISCV64_SPACEMIT_IME_SPEC=RISCV64_SPACEMIT_IME1 \
-DCMAKE_TOOLCHAIN_FILE=${PWD}/cmake/riscv64-spacemit-linux-gnu-gcc.cmake
cmake --build build --config Release -j $(nproc)

View File

@@ -1,167 +0,0 @@
name: CI (hip)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-hip.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.cu',
'**/*.cuh'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-hip.yml',
'ggml/src/ggml-cuda/**'
]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_LOG_COLORS: 1
LLAMA_LOG_PREFIX: 1
LLAMA_LOG_TIMESTAMPS: 1
jobs:
ubuntu-22-hip:
runs-on: ubuntu-22.04
container: rocm/dev-ubuntu-22.04:6.1.2
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev rocwmma-dev
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: ubuntu-22-hip
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build with native CMake HIP support
id: cmake_build
run: |
cmake -B build -S . \
-DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
-DGGML_HIP_ROCWMMA_FATTN=ON \
-DGPU_TARGETS="gfx1030" \
-DGGML_HIP=ON
cmake --build build --config Release -j $(nproc)
windows-latest-hip:
runs-on: windows-2022
env:
# Make sure this is in sync with build-cache.yml
HIPSDK_INSTALLER_VERSION: "26.Q1"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Grab rocWMMA package
id: grab_rocwmma
run: |
curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.2.1/pool/main/r/rocwmma-dev/rocwmma-dev_2.2.0.70201-81~24.04_amd64.deb"
7z x rocwmma.deb
7z x data.tar
- name: Use ROCm Installation Cache
uses: actions/cache@v5
id: cache-rocm
with:
path: C:\Program Files\AMD\ROCm
key: rocm-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ runner.os }}
- name: Setup ROCm
if: steps.cache-rocm.outputs.cache-hit != 'true'
uses: ./.github/actions/windows-setup-rocm
with:
version: ${{ env.HIPSDK_INSTALLER_VERSION }}
- name: Verify ROCm
id: verify
run: |
# Find and test ROCm installation
$clangPath = Get-ChildItem 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | Select-Object -First 1
if (-not $clangPath) {
Write-Error "ROCm installation not found"
exit 1
}
& $clangPath.FullName --version
- name: Install ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: ${{ github.job }}
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build
id: cmake_build
run: |
$env:HIP_PATH=$(Resolve-Path 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | split-path | split-path)
$env:CMAKE_PREFIX_PATH="${env:HIP_PATH}"
cmake -G "Unix Makefiles" -B build -S . `
-DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" `
-DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" `
-DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.1/include/" `
-DCMAKE_BUILD_TYPE=Release `
-DLLAMA_BUILD_BORINGSSL=ON `
-DROCM_DIR="${env:HIP_PATH}" `
-DGGML_HIP=ON `
-DGGML_HIP_ROCWMMA_FATTN=ON `
-DGPU_TARGETS="gfx1100" `
-DGGML_RPC=ON
cmake --build build -j ${env:NUMBER_OF_PROCESSORS}
ubuntu-22-musa:
runs-on: ubuntu-22.04
container: mthreads/musa:rc4.3.0-devel-ubuntu22.04-amd64
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
apt-get update
apt-get install -y build-essential git cmake libssl-dev
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: ubuntu-22-musa
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build with native CMake MUSA support
id: cmake_build
run: |
cmake -B build -S . \
-DGGML_MUSA=ON
time cmake --build build --config Release -j $(nproc)

View File

@@ -1,150 +0,0 @@
name: CI (ibm)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-ibm.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-ibm.yml',
'ggml/src/ggml-cpu/**'
]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_LOG_COLORS: 1
LLAMA_LOG_PREFIX: 1
LLAMA_LOG_TIMESTAMPS: 1
jobs:
ubuntu-24-s390x:
runs-on: ubuntu-24.04-s390x
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Build Dependencies
id: build_depends
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
python3 python3-pip python3-dev python3-wheel \
libjpeg-dev build-essential libssl-dev \
git-lfs
- name: Toolchain workaround (GCC 14)
run: |
sudo apt-get install -y gcc-14 g++-14
echo "CC=gcc-14" >> "$GITHUB_ENV"
echo "CXX=g++-14" >> "$GITHUB_ENV"
- name: Python Dependencies
id: python_depends
run: |
export PIP_BREAK_SYSTEM_PACKAGES="1"
python3 -m pip install --upgrade pip setuptools
pip3 install ./gguf-py
- name: Swap Endianness
id: endianness
run: |
for f in models/*.gguf; do
echo YES | python3 gguf-py/gguf/scripts/gguf_convert_endian.py $f big
done
- name: Build
id: cmake_build
run: |
cmake -B build \
-DLLAMA_FATAL_WARNINGS=ON \
-DGGML_RPC=ON
time cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose --timeout 900
- name: Test llama2c (s390x)
id: llama2c_test_s390x
run: |
cd build
echo "Fetch llama2c big-endian model"
wget https://huggingface.co/ggml-org/models/resolve/main/tinyllamas/stories260K-be.gguf
./bin/llama-completion -m stories260K-be.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
ubuntu-24-ppc64le:
runs-on: ubuntu-24.04-ppc64le
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Build Dependencies
id: build_depends
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
python3 python3-pip python3-dev python3-wheel \
libjpeg-dev build-essential libssl-dev \
git-lfs
- name: Toolchain workaround (GCC 14)
run: |
sudo apt-get install -y gcc-14 g++-14
echo "CC=gcc-14" >> "$GITHUB_ENV"
echo "CXX=g++-14" >> "$GITHUB_ENV"
- name: Python Dependencies
id: python_depends
run: |
export PIP_BREAK_SYSTEM_PACKAGES="1"
python3 -m pip install --upgrade pip setuptools
pip3 install ./gguf-py
- name: Build
id: cmake_build
run: |
cmake -B build \
-DLLAMA_FATAL_WARNINGS=ON \
-DGGML_RPC=ON
time cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose --timeout 900
- name: Test llama2c conversion
id: llama2c_test
run: |
cd build
echo "Fetch tokenizer"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/tok512.bin
echo "Fetch llama2c model"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/stories260K.bin
./bin/llama-convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf
./bin/llama-completion -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256

View File

@@ -43,7 +43,7 @@ jobs:
# save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Setup ${{ matrix.sys }}
uses: msys2/setup-msys2@cafece8e6baf9247cf9b1bf95097b0b983cc558d # v2
uses: msys2/setup-msys2@v2
with:
update: true
msystem: ${{matrix.sys}}

View File

@@ -1,83 +0,0 @@
name: CI (opencl)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-opencl.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.cl'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-opencl.yml',
'ggml/src/ggml-opencl/**'
]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_LOG_COLORS: 1
LLAMA_LOG_PREFIX: 1
LLAMA_LOG_TIMESTAMPS: 1
jobs:
windows-latest-opencl-adreno:
runs-on: windows-2025
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: windows-latest-llvm-arm64-opencl-adreno
variant: ccache
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Install Ninja
id: install_ninja
run: |
choco install ninja
- name: Install OpenCL Headers and Libs
id: install_opencl
run: |
git clone https://github.com/KhronosGroup/OpenCL-Headers
cd OpenCL-Headers
cmake -B build `
-DBUILD_TESTING=OFF `
-DOPENCL_HEADERS_BUILD_TESTING=OFF `
-DOPENCL_HEADERS_BUILD_CXX_TESTS=OFF `
-DCMAKE_INSTALL_PREFIX="$env:RUNNER_TEMP/opencl-arm64-release"
cmake --build build --target install
git clone https://github.com/KhronosGroup/OpenCL-ICD-Loader
cd OpenCL-ICD-Loader
cmake -B build-arm64-release `
-A arm64 `
-DCMAKE_PREFIX_PATH="$env:RUNNER_TEMP/opencl-arm64-release" `
-DCMAKE_INSTALL_PREFIX="$env:RUNNER_TEMP/opencl-arm64-release"
cmake --build build-arm64-release --target install --config release
- name: Build
id: cmake_build
run: |
cmake -S . -B build -G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-llvm.cmake -DCMAKE_PREFIX_PATH="$env:RUNNER_TEMP/opencl-arm64-release" -DGGML_OPENCL=ON -DGGML_OPENCL_USE_ADRENO_KERNELS=ON -DLLAMA_BUILD_BORINGSSL=ON
cmake --build build --config Release -j ${env:NUMBER_OF_PROCESSORS}

View File

@@ -1,120 +0,0 @@
name: CI (openvino)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-openvino.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-openvino.yml',
'ggml/src/ggml-openvino/**'
]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_LOG_COLORS: 1
LLAMA_LOG_PREFIX: 1
LLAMA_LOG_TIMESTAMPS: 1
jobs:
ubuntu-24-openvino:
name: ubuntu-24-openvino-${{ matrix.openvino_device }}
concurrency:
group: openvino-${{ matrix.variant }}-${{ github.head_ref || github.ref }}
cancel-in-progress: false
strategy:
matrix:
include:
- variant: cpu
runner: '"ubuntu-24.04"'
openvino_device: "CPU"
- variant: gpu
runner: '["self-hosted","Linux","Intel","OpenVINO"]'
openvino_device: "GPU"
runs-on: ${{ fromJSON(matrix.runner) }}
env:
# Sync versions in build-openvino.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
OPENVINO_VERSION_MAJOR: "2026.0"
OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
if: runner.environment == 'github-hosted'
uses: ggml-org/ccache-action@v1.2.21
with:
key: ubuntu-24-openvino-${{ matrix.variant }}-no-preset-v1
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y build-essential libssl-dev libtbb12 cmake ninja-build python3-pip
sudo apt-get install -y ocl-icd-opencl-dev opencl-headers opencl-clhpp-headers intel-opencl-icd
- name: Use OpenVINO Toolkit Cache
if: runner.environment == 'github-hosted'
uses: actions/cache@v5
id: cache-openvino
with:
path: ./openvino_toolkit
key: openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }}
- name: Setup OpenVINO Toolkit
if: steps.cache-openvino.outputs.cache-hit != 'true'
uses: ./.github/actions/linux-setup-openvino
with:
path: ./openvino_toolkit
version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
version_full: ${{ env.OPENVINO_VERSION_FULL }}
- name: Install OpenVINO dependencies
run: |
cd ./openvino_toolkit
chmod +x ./install_dependencies/install_openvino_dependencies.sh
echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh
- name: Build
id: cmake_build
run: |
source ./openvino_toolkit/setupvars.sh
cmake -B build/ReleaseOV -G Ninja \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_OPENVINO=ON
time cmake --build build/ReleaseOV --config Release -j $(nproc)
- name: Test
id: cmake_test
# TODO: fix and re-enable the `test-llama-archs` test below
run: |
cd ${{ github.workspace }}
if [ "${{ matrix.openvino_device }}" = "GPU" ]; then
export GGML_OPENVINO_DEVICE=GPU
fi
ctest --test-dir build/ReleaseOV -L main -E "test-llama-archs" --verbose --timeout 2000

View File

@@ -34,78 +34,8 @@ env:
LLAMA_LOG_TIMESTAMPS: 1
jobs:
ubuntu-cpu-riscv64-native:
runs-on: ubuntu-24.04-riscv
steps:
- name: Install dependencies
run: |
# Install necessary packages
sudo apt-get update
sudo apt-get install -y libssl-dev
# Set gcc-14 and g++-14 as the default compilers
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100
git lfs install
- name: Check environment
run: |
uname -a
gcc --version
g++ --version
ldd --version
cmake --version
rustc --version
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@afde29e5b5422e5da23cb1f639e8baecadeadfc3 # https://github.com/ggml-org/ccache-action/pull/1
with:
key: ubuntu-cpu-riscv64-native
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build
id: cmake_build
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_OPENMP=OFF \
-DLLAMA_BUILD_EXAMPLES=ON \
-DLLAMA_BUILD_TOOLS=ON \
-DLLAMA_BUILD_TESTS=ON \
-DCMAKE_C_COMPILER_LAUNCHER=ccache \
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
-DGGML_RPC=ON \
-DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \
-DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14
time cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose --timeout 900
- name: Test llama2c conversion
id: llama2c_test
run: |
cd build
echo "Fetch tokenizer"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/tok512.bin
echo "Fetch llama2c model"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/stories260K.bin
./bin/llama-convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf
./bin/llama-completion -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
ubuntu-riscv64-native-sanitizer:
runs-on: ubuntu-24.04-riscv
runs-on: RISCV64
continue-on-error: true
@@ -117,9 +47,20 @@ jobs:
steps:
- name: Install dependencies
run: |
sudo apt-get update
# Install necessary packages
sudo apt-get install -y libatomic1 libtsan2 gcc-14 g++-14 rustup cmake build-essential wget ccache git-lfs
# Set gcc-14 and g++-14 as the default compilers
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100
sudo ln -sf /usr/bin/gcc-14 /usr/bin/gcc
sudo ln -sf /usr/bin/g++-14 /usr/bin/g++
# Install Rust stable version
rustup install stable
rustup default stable
git lfs install
@@ -132,12 +73,23 @@ jobs:
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@afde29e5b5422e5da23cb1f639e8baecadeadfc3 # https://github.com/ggml-org/ccache-action/pull/1
with:
key: ubuntu-riscv64-native-sanitizer-${{ matrix.sanitizer }}-${{ matrix.build_type }}
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Setup ccache
run: |
# Unique cache directory per matrix combination
export CCACHE_DIR="$HOME/.ccache/sanitizer-${{ matrix.sanitizer }}-${{ matrix.build_type }}"
mkdir -p "$CCACHE_DIR"
# Configure ccache
ccache --set-config=max_size=5G
ccache --set-config=compression=true
ccache --set-config=compression_level=6
ccache --set-config=cache_dir="$CCACHE_DIR"
ccache --set-config=sloppiness=file_macro,time_macros,include_file_mtime,include_file_ctime
ccache --set-config=hash_dir=false
# Export for subsequent steps
echo "CCACHE_DIR=$CCACHE_DIR" >> $GITHUB_ENV
echo "PATH=/usr/lib/ccache:$PATH" >> $GITHUB_ENV
- name: Build
id: cmake_build

View File

@@ -1,67 +0,0 @@
name: CI (rpc)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-rpc.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-rpc.yml',
'ggml/src/ggml-rpc/**'
]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_LOG_COLORS: 1
LLAMA_LOG_PREFIX: 1
LLAMA_LOG_TIMESTAMPS: 1
jobs:
ubuntu-latest-rpc:
runs-on: ubuntu-latest
continue-on-error: true
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential libssl-dev ninja-build
- name: Build
id: cmake_build
run: |
cmake -B build \
-G "Ninja" \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_RPC=ON
time cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose

View File

@@ -43,7 +43,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-latest-sanitizer-${{ matrix.sanitizer }}
evict-old-files: 1d

View File

@@ -67,7 +67,7 @@ jobs:
id: ggml-ci
run: |
nvidia-smi
GG_BUILD_CUDA=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
GG_BUILD_CUDA=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
ggml-ci-nvidia-vulkan-cm:
runs-on: [self-hosted, Linux, NVIDIA]
@@ -81,7 +81,7 @@ jobs:
id: ggml-ci
run: |
vulkaninfo --summary
GG_BUILD_VULKAN=1 GGML_VK_DISABLE_COOPMAT2=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
GG_BUILD_VULKAN=1 GGML_VK_DISABLE_COOPMAT2=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
ggml-ci-nvidia-vulkan-cm2:
runs-on: [self-hosted, Linux, NVIDIA, COOPMAT2]
@@ -95,36 +95,7 @@ jobs:
id: ggml-ci
run: |
vulkaninfo --summary
GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
ggml-ci-nvidia-webgpu:
runs-on: [self-hosted, Linux, NVIDIA, X64]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dawn Dependency
id: dawn-depends
run: |
DAWN_VERSION="v20260317.182325"
DAWN_OWNER="google"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-ubuntu-latest-Release"
echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
curl -L -o artifact.tar.gz \
"https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
mkdir dawn
tar -xvf artifact.tar.gz -C dawn --strip-components=1
- name: Test
id: ggml-ci
run: |
GG_BUILD_WEBGPU=1 \
GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \
GG_BUILD_WEBGPU_DAWN_DIR="$GITHUB_WORKSPACE/dawn/lib64/cmake/Dawn" \
bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
# TODO: provision AMX-compatible machine
#ggml-ci-cpu-amx:
@@ -138,7 +109,7 @@ jobs:
# - name: Test
# id: ggml-ci
# run: |
# bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
# bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
# TODO: provision AMD GPU machine
# ggml-ci-amd-vulkan:
@@ -153,7 +124,7 @@ jobs:
# id: ggml-ci
# run: |
# vulkaninfo --summary
# GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
# GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
# TODO: provision AMD GPU machine
# ggml-ci-amd-rocm:
@@ -168,7 +139,7 @@ jobs:
# id: ggml-ci
# run: |
# amd-smi static
# GG_BUILD_ROCM=1 GG_BUILD_AMDGPU_TARGETS="gfx1101" bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
# GG_BUILD_ROCM=1 GG_BUILD_AMDGPU_TARGETS="gfx1101" bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
ggml-ci-mac-metal:
runs-on: [self-hosted, macOS, ARM64]
@@ -194,15 +165,16 @@ jobs:
- name: Dawn Dependency
id: dawn-depends
run: |
DAWN_VERSION="v20260317.182325"
DAWN_OWNER="google"
DAWN_VERSION="v2.0.0"
DAWN_OWNER="reeselevine"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-macos-latest-Release"
echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
curl -L -o artifact.tar.gz \
"https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
DAWN_ASSET_NAME="Dawn-5e9a4865b1635796ccc77dd30057f2b4002a1355-macos-latest-Release"
echo "Fetching release asset from https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
curl -L -o artifact.zip \
"https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
mkdir dawn
tar -xvf artifact.tar.gz -C dawn --strip-components=1
unzip artifact.zip
tar -xvf ${DAWN_ASSET_NAME}.tar.gz -C dawn --strip-components=1
- name: Test
id: ggml-ci
@@ -240,34 +212,9 @@ jobs:
vulkaninfo --summary
GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
ggml-ci-win-intel-vulkan:
runs-on: [self-hosted, Windows, X64, Intel]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
shell: C:\msys64\usr\bin\bash.exe --noprofile --norc -eo pipefail "{0}"
env:
MSYSTEM: UCRT64
CHERE_INVOKING: 1
PATH: C:\msys64\ucrt64\bin;C:\msys64\usr\bin;C:\Windows\System32;${{ env.PATH }}
run: |
vulkaninfo --summary
# Skip python related tests with GG_BUILD_LOW_PERF=1 since Windows MSYS2 UCRT64 currently fails to create
# a valid python environment for testing
LLAMA_FATAL_WARNINGS=OFF GG_BUILD_NINJA=1 GG_BUILD_VULKAN=1 GG_BUILD_LOW_PERF=1 ./ci/run.sh ./results/llama.cpp ./mnt/llama.cpp
ggml-ci-intel-openvino-gpu-low-perf:
runs-on: [self-hosted, Linux, Intel, OpenVINO]
concurrency:
group: openvino-gpu-${{ github.head_ref || github.ref }}
cancel-in-progress: false
env:
# Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
OPENVINO_VERSION_MAJOR: "2026.0"
@@ -295,62 +242,4 @@ jobs:
id: ggml-ci
run: |
source ./openvino_toolkit/setupvars.sh
GG_BUILD_OPENVINO=1 GGML_OPENVINO_DEVICE=GPU GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
ggml-ci-arm64-cpu-low-perf:
runs-on: [self-hosted, Linux, ARM64, CPU]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
run: |
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
ggml-ci-arm64-cpu-high-perf:
runs-on: [self-hosted, Linux, ARM64, CPU]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
run: |
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 GG_BUILD_NO_SVE=1 GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
# TODO: not sure how to detect ARM flags on DGX Spark. currently get this error during cmake:
# CMake Warning at ggml/src/ggml-cpu/CMakeLists.txt:147 (message):
# ARM -march/-mcpu not found, -mcpu=native will be used
#
# if we resolve this, we should be able to offload these jobs to the self-hosted runners
#
# ggml-ci-arm64-cpu-high-perf-sve:
# runs-on: [self-hosted, Linux, ARM64, CPU]
#
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
#
# - name: Test
# id: ggml-ci
# run: |
# LLAMA_ARG_THREADS=$(nproc) GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
#
# ggml-ci-arm64-cpu-kleidiai:
# runs-on: [self-hosted, Linux, ARM64, CPU]
#
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
#
# - name: Test
# id: ggml-ci
# run: |
# GG_BUILD_KLEIDIAI=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
GG_BUILD_OPENVINO=1 GGML_OPENVINO_DEVICE=GPU GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt

View File

@@ -1,158 +0,0 @@
name: CI (sycl)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-sycl.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-sycl.yml',
'ggml/src/ggml-sycl/**'
]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_LOG_COLORS: 1
LLAMA_LOG_PREFIX: 1
LLAMA_LOG_TIMESTAMPS: 1
jobs:
ubuntu-24-sycl:
strategy:
matrix:
build: [fp32]
include:
- build: fp32
fp16: OFF
runs-on: ubuntu-24.04
env:
ONEAPI_ROOT: /opt/intel/oneapi/
ONEAPI_INSTALLER_VERSION: "2025.3.3"
LEVEL_ZERO_VERSION: "1.28.2"
LEVEL_ZERO_UBUNTU_VERSION: "u24.04"
continue-on-error: true
steps:
- uses: actions/checkout@v6
- name: Use oneAPI Installation Cache
uses: actions/cache@v5
id: cache-sycl
with:
path: ${{ env.ONEAPI_ROOT }}
key: oneAPI-${{ env.ONEAPI_INSTALLER_VERSION }}-${{ runner.os }}
- name: Download & Install oneAPI
shell: bash
if: steps.cache-sycl.outputs.cache-hit != 'true'
run: |
cd /tmp
wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/56f7923a-adb8-43f3-8b02-2b60fcac8cab/intel-deep-learning-essentials-2025.3.3.16_offline.sh -O intel-deep-learning-essentials_offline.sh
sudo bash intel-deep-learning-essentials_offline.sh -s -a --silent --eula accept
- name: Install Level Zero SDK
shell: bash
run: |
cd /tmp
wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/level-zero_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O level-zero.deb
wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/level-zero-devel_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O level-zero-devel.deb
sudo apt-get install -y ./level-zero.deb ./level-zero-devel.deb
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: ubuntu-24-sycl-${{ matrix.build }}
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build
id: cmake_build
run: |
source /opt/intel/oneapi/setvars.sh
cmake -B build \
-G "Ninja" \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx \
-DLLAMA_OPENSSL=OFF \
-DGGML_NATIVE=OFF \
-DGGML_SYCL_F16=${{ matrix.fp16 }}
time cmake --build build --config Release -j $(nproc)
windows-latest-sycl:
runs-on: windows-2022
defaults:
run:
shell: bash
env:
WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/b60765d1-2b85-4e85-86b6-cb0e9563a699/intel-deep-learning-essentials-2025.3.3.18_offline.exe
WINDOWS_DPCPP_MKL: intel.oneapi.win.cpp-dpcpp-common:intel.oneapi.win.mkl.devel:intel.oneapi.win.dnnl:intel.oneapi.win.tbb.devel
LEVEL_ZERO_SDK_URL: https://github.com/oneapi-src/level-zero/releases/download/v1.28.2/level-zero-win-sdk-1.28.2.zip
ONEAPI_ROOT: "C:/Program Files (x86)/Intel/oneAPI"
ONEAPI_INSTALLER_VERSION: "2025.3.3"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Use oneAPI Installation Cache
uses: actions/cache@v5
id: cache-sycl
with:
path: ${{ env.ONEAPI_ROOT }}
key: oneAPI-${{ env.ONEAPI_INSTALLER_VERSION }}-${{ runner.os }}
- name: Download & Install oneAPI
shell: bash
if: steps.cache-sycl.outputs.cache-hit != 'true'
run: |
scripts/install-oneapi.bat $WINDOWS_BASEKIT_URL $WINDOWS_DPCPP_MKL
- name: Install Level Zero SDK
shell: pwsh
run: |
Invoke-WebRequest -Uri "${{ env.LEVEL_ZERO_SDK_URL }}" -OutFile "level-zero-win-sdk.zip"
Expand-Archive -Path "level-zero-win-sdk.zip" -DestinationPath "C:/level-zero-sdk" -Force
"LEVEL_ZERO_V1_SDK_PATH=C:/level-zero-sdk" | Out-File -FilePath $env:GITHUB_ENV -Append
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: windows-latest-sycl
variant: ccache
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
# TODO: add ssl support ; we will also need to modify win-build-sycl.bat to accept user-specified args
- name: Build
id: cmake_build
run: examples/sycl/win-build-sycl.bat

View File

@@ -1,50 +0,0 @@
name: CI (virtgpu)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-virtgpu.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-virtgpu.yml',
'ggml/src/ggml-virtgpu/**'
]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
ubuntu-24-virtgpu:
runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y build-essential libdrm-dev pkg-config libssl-dev
- name: Build
id: cmake_build
run: |
cmake -B build \
-DGGML_VIRTGPU=ON \
-DGGML_VIRTGPU_BACKEND=ON
cmake --build build --config Release -j $(nproc)

View File

@@ -45,7 +45,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-24-vulkan-llvmpipe
evict-old-files: 1d
@@ -72,7 +72,7 @@ jobs:
- name: Setup Vulkan SDK
if: steps.cache-sdk.outputs.cache-hit != 'true'
uses: ./.github/actions/linux-setup-vulkan
uses: ./.github/actions/linux-setup-vulkan-llvmpipe
with:
path: ./vulkan_sdk
version: ${{ env.VULKAN_SDK_VERSION }}
@@ -93,5 +93,4 @@ jobs:
export GGML_VK_DISABLE_F16=1
export GGML_VK_DISABLE_COOPMAT=1
# This is using llvmpipe and runs slower than other backends
# test-backend-ops is too slow on llvmpipe, skip it
ctest -L main -E test-backend-ops --verbose --timeout 900
ctest -L main --verbose --timeout 4800

View File

@@ -1,186 +0,0 @@
name: CI (webgpu)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-webgpu.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.wgsl'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-webgpu.yml',
'ggml/src/ggml-webgpu/**'
]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_LOG_COLORS: 1
LLAMA_LOG_PREFIX: 1
LLAMA_LOG_TIMESTAMPS: 1
jobs:
macOS-latest-arm64-webgpu:
runs-on: macos-latest
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: macOS-latest-arm64-webgpu
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Dawn Dependency
id: dawn-depends
run: |
DAWN_VERSION="v20260317.182325"
DAWN_OWNER="google"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-macos-latest-Release"
echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
curl -L -o artifact.tar.gz \
"https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
mkdir dawn
tar -xvf artifact.tar.gz -C dawn --strip-components=1
- name: Build
id: cmake_build
run: |
export CMAKE_PREFIX_PATH=dawn
cmake -B build -G "Ninja" -DCMAKE_BUILD_TYPE=Release -DGGML_WEBGPU=ON -DGGML_METAL=OFF -DGGML_BLAS=OFF
time cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose --timeout 900
ubuntu-24-webgpu:
runs-on: ubuntu-24.04
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: ubuntu-24-webgpu
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Dependencies
id: depends
run: |
sudo add-apt-repository -y ppa:kisak/kisak-mesa
sudo apt-get update -y
sudo apt-get install -y build-essential mesa-vulkan-drivers \
libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libssl-dev
- name: Get latest Vulkan SDK version
id: vulkan_sdk_version
run: |
echo "VULKAN_SDK_VERSION=$(curl https://vulkan.lunarg.com/sdk/latest/linux.txt)" >> "$GITHUB_ENV"
- name: Use Vulkan SDK Cache
uses: actions/cache@v5
id: cache-sdk
with:
path: ./vulkan_sdk
key: vulkan-sdk-${{ env.VULKAN_SDK_VERSION }}-${{ runner.os }}
- name: Setup Vulkan SDK
if: steps.cache-sdk.outputs.cache-hit != 'true'
uses: ./.github/actions/linux-setup-vulkan
with:
path: ./vulkan_sdk
version: ${{ env.VULKAN_SDK_VERSION }}
- name: Dawn Dependency
id: dawn-depends
run: |
sudo apt-get install -y libxrandr-dev libxinerama-dev libxcursor-dev mesa-common-dev libx11-xcb-dev libxi-dev
DAWN_VERSION="v20260317.182325"
DAWN_OWNER="google"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-ubuntu-latest-Release"
echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
curl -L -o artifact.tar.gz \
"https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
mkdir dawn
tar -xvf artifact.tar.gz -C dawn --strip-components=1
- name: Build
id: cmake_build
run: |
export Dawn_DIR=dawn/lib64/cmake/Dawn
cmake -B build \
-DGGML_WEBGPU=ON
time cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
# This is using llvmpipe and runs slower than other backends
# test-backend-ops is too slow on llvmpipe, skip it
ctest -L main -E test-backend-ops --verbose --timeout 900
ubuntu-24-webgpu-wasm:
runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Install Emscripten
run: |
git clone https://github.com/emscripten-core/emsdk.git
cd emsdk
./emsdk install latest
./emsdk activate latest
- name: Fetch emdawnwebgpu
run: |
DAWN_TAG="v20260317.182325"
EMDAWN_PKG="emdawnwebgpu_pkg-${DAWN_TAG}.zip"
echo "Downloading ${EMDAWN_PKG}"
curl -L -o emdawn.zip \
"https://github.com/google/dawn/releases/download/${DAWN_TAG}/${EMDAWN_PKG}"
unzip emdawn.zip
- name: Build WASM WebGPU
run: |
source emsdk/emsdk_env.sh
emcmake cmake -B build-wasm \
-G "Ninja" \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_WEBGPU=ON \
-DLLAMA_OPENSSL=OFF \
-DEMDAWNWEBGPU_DIR=emdawnwebgpu_pkg
time cmake --build build-wasm --config Release --target test-backend-ops -j $(nproc)

View File

@@ -69,7 +69,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: macOS-latest-arm64
evict-old-files: 1d
@@ -87,7 +87,7 @@ jobs:
-DGGML_METAL_EMBED_LIBRARY=OFF \
-DGGML_METAL_SHADER_DEBUG=ON \
-DGGML_RPC=ON
time cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
leaks -atExit -- ./build/bin/test-thread-safety -hf ggml-org/gemma-3-270m-qat-GGUF -ngl 99 -p "$(printf 'hello %.0s' {1..128})" -n 16 -c 512 -ub 32 -np 2 -t 2 -lv 1
- name: Test
@@ -105,7 +105,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: macOS-latest-x64
evict-old-files: 1d
@@ -124,7 +124,49 @@ jobs:
-DGGML_METAL=OFF \
-DGGML_RPC=ON \
-DCMAKE_OSX_DEPLOYMENT_TARGET=13.3
time cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose --timeout 900
macOS-latest-arm64-webgpu:
runs-on: macos-latest
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: macOS-latest-arm64-webgpu
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Dawn Dependency
id: dawn-depends
run: |
DAWN_VERSION="v2.0.0"
DAWN_OWNER="reeselevine"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-5e9a4865b1635796ccc77dd30057f2b4002a1355-macos-latest-Release"
echo "Fetching release asset from https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
curl -L -o artifact.zip \
"https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
mkdir dawn
unzip artifact.zip
tar -xvf ${DAWN_ASSET_NAME}.tar.gz -C dawn --strip-components=1
- name: Build
id: cmake_build
run: |
export CMAKE_PREFIX_PATH=dawn
cmake -B build -DGGML_WEBGPU=ON -DGGML_METAL=OFF -DGGML_BLAS=OFF
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
- name: Test
id: cmake_test
@@ -139,7 +181,11 @@ jobs:
- build: 'x64'
os: ubuntu-22.04
- build: 'arm64'
os: ubuntu-24.04-arm
os: ubuntu-22.04-arm
- build: 's390x'
os: ubuntu-24.04-s390x
- build: 'ppc64le'
os: ubuntu-24.04-ppc64le
runs-on: ${{ matrix.os }}
@@ -149,7 +195,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-cpu-${{ matrix.build }}
evict-old-files: 1d
@@ -160,31 +206,31 @@ jobs:
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
python3 python3-pip python3-dev python3-wheel \
python3 python3-pip python3-dev \
libjpeg-dev build-essential libssl-dev \
git-lfs
- name: Toolchain workaround (GCC 14)
if: ${{ contains(matrix.os, 'ubuntu-24.04') }}
run: |
sudo apt-get install -y gcc-14 g++-14
echo "CC=gcc-14" >> "$GITHUB_ENV"
echo "CXX=g++-14" >> "$GITHUB_ENV"
- name: Python Dependencies
id: python_depends
run: |
export PIP_BREAK_SYSTEM_PACKAGES="1"
python3 -m pip install --upgrade pip setuptools
python3 -m pip install --upgrade pip
pip3 install ./gguf-py
- name: Swap Endianness
id: endianness
if: ${{ matrix.build == 's390x' }}
run: |
for f in models/*.gguf; do
echo YES | python3 gguf-py/gguf/scripts/gguf_convert_endian.py $f big
done
- name: Build
id: cmake_build
run: |
cmake -B build \
-DLLAMA_FATAL_WARNINGS=ON \
-DGGML_RPC=ON
time cmake --build build --config Release -j $(nproc)
cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
@@ -194,6 +240,7 @@ jobs:
- name: Test llama2c conversion
id: llama2c_test
if: ${{ matrix.build != 's390x' }}
run: |
cd build
echo "Fetch tokenizer"
@@ -203,16 +250,19 @@ jobs:
./bin/llama-convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf
./bin/llama-completion -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
ubuntu-24-vulkan:
strategy:
matrix:
include:
- build: 'x64'
os: ubuntu-24.04
- build: 'arm64'
os: ubuntu-24.04-arm
- name: Test llama2c (s390x)
id: llama2c_test_s390x
if: ${{ matrix.build == 's390x' }}
run: |
cd build
echo "Fetch llama2c big-endian model"
wget https://huggingface.co/ggml-org/models/resolve/main/tinyllamas/stories260K-be.gguf
./bin/llama-completion -m stories260K-be.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
runs-on: ${{ matrix.os }}
ubuntu-latest-rpc:
runs-on: ubuntu-latest
continue-on-error: true
steps:
- name: Clone
@@ -223,15 +273,38 @@ jobs:
id: depends
run: |
sudo apt-get update
sudo apt-get install -y gcc-14 g++-14 build-essential glslc libvulkan-dev spirv-headers libssl-dev ninja-build
echo "CC=gcc-14" >> "$GITHUB_ENV"
echo "CXX=g++-14" >> "$GITHUB_ENV"
sudo apt-get install build-essential libssl-dev
- name: Build
id: cmake_build
run: |
cmake -B build \
-DGGML_RPC=ON
cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose
ubuntu-24-vulkan:
runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get install -y glslc libvulkan-dev libssl-dev
- name: Configure
id: cmake_configure
run: |
cmake -B build \
-G "Ninja" \
-DCMAKE_BUILD_TYPE=RelWithDebInfo \
-DGGML_BACKEND_DL=ON \
-DGGML_CPU_ALL_VARIANTS=ON \
@@ -240,7 +313,351 @@ jobs:
- name: Build
id: cmake_build
run: |
time cmake --build build -j $(nproc)
cmake --build build -j $(nproc)
ubuntu-24-webgpu:
runs-on: ubuntu-24.04
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-24-webgpu
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Dependencies
id: depends
run: |
sudo add-apt-repository -y ppa:kisak/kisak-mesa
sudo apt-get update -y
sudo apt-get install -y build-essential mesa-vulkan-drivers libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libssl-dev
- name: Get latest Vulkan SDK version
id: vulkan_sdk_version
run: |
echo "VULKAN_SDK_VERSION=$(curl https://vulkan.lunarg.com/sdk/latest/linux.txt)" >> "$GITHUB_ENV"
- name: Use Vulkan SDK Cache
uses: actions/cache@v5
id: cache-sdk
with:
path: ./vulkan_sdk
key: vulkan-sdk-${{ env.VULKAN_SDK_VERSION }}-${{ runner.os }}
- name: Setup Vulkan SDK
if: steps.cache-sdk.outputs.cache-hit != 'true'
uses: ./.github/actions/linux-setup-vulkan
with:
path: ./vulkan_sdk
version: ${{ env.VULKAN_SDK_VERSION }}
- name: Dawn Dependency
id: dawn-depends
run: |
sudo apt-get install -y libxrandr-dev libxinerama-dev libxcursor-dev mesa-common-dev libx11-xcb-dev libxi-dev
DAWN_VERSION="v2.0.0"
DAWN_OWNER="reeselevine"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-5e9a4865b1635796ccc77dd30057f2b4002a1355-ubuntu-latest-Release"
echo "Fetching release asset from https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
curl -L -o artifact.zip \
"https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
mkdir dawn
unzip artifact.zip
tar -xvf ${DAWN_ASSET_NAME}.tar.gz -C dawn --strip-components=1
- name: Build
id: cmake_build
run: |
export Dawn_DIR=dawn/lib64/cmake/Dawn
cmake -B build \
-DGGML_WEBGPU=ON
cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
# This is using llvmpipe and runs slower than other backends
ctest -L main --verbose --timeout 900
ubuntu-24-webgpu-wasm:
runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Install Emscripten
run: |
git clone https://github.com/emscripten-core/emsdk.git
cd emsdk
./emsdk install latest
./emsdk activate latest
- name: Fetch emdawnwebgpu
run: |
DAWN_TAG="v20251027.212519"
EMDAWN_PKG="emdawnwebgpu_pkg-${DAWN_TAG}.zip"
echo "Downloading ${EMDAWN_PKG}"
curl -L -o emdawn.zip \
"https://github.com/google/dawn/releases/download/${DAWN_TAG}/${EMDAWN_PKG}"
unzip emdawn.zip
- name: Build WASM WebGPU
run: |
source emsdk/emsdk_env.sh
emcmake cmake -B build-wasm \
-DGGML_WEBGPU=ON \
-DLLAMA_OPENSSL=OFF \
-DEMDAWNWEBGPU_DIR=emdawnwebgpu_pkg
cmake --build build-wasm --target test-backend-ops -j $(nproc)
ubuntu-22-hip:
runs-on: ubuntu-22.04
container: rocm/dev-ubuntu-22.04:6.1.2
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev rocwmma-dev
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-22-hip
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build with native CMake HIP support
id: cmake_build
run: |
cmake -B build -S . \
-DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
-DGGML_HIP_ROCWMMA_FATTN=ON \
-DGGML_HIP=ON
cmake --build build --config Release -j $(nproc)
ubuntu-22-musa:
runs-on: ubuntu-22.04
container: mthreads/musa:rc4.3.0-devel-ubuntu22.04-amd64
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
apt-get update
apt-get install -y build-essential git cmake libssl-dev
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-22-musa
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build with native CMake MUSA support
id: cmake_build
run: |
cmake -B build -S . \
-DGGML_MUSA=ON
cmake --build build --config Release -j $(nproc)
ubuntu-22-sycl:
runs-on: ubuntu-22.04
continue-on-error: true
steps:
- uses: actions/checkout@v6
- name: add oneAPI to apt
shell: bash
run: |
cd /tmp
wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
rm GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
sudo add-apt-repository "deb https://apt.repos.intel.com/oneapi all main"
- name: install oneAPI dpcpp compiler
shell: bash
run: |
sudo apt update
sudo apt install intel-oneapi-compiler-dpcpp-cpp libssl-dev
- name: install oneAPI MKL library
shell: bash
run: |
sudo apt install intel-oneapi-mkl-devel
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-22-sycl
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build
id: cmake_build
run: |
source /opt/intel/oneapi/setvars.sh
cmake -B build \
-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx
cmake --build build --config Release -j $(nproc)
ubuntu-22-sycl-fp16:
runs-on: ubuntu-22.04
continue-on-error: true
steps:
- uses: actions/checkout@v6
- name: add oneAPI to apt
shell: bash
run: |
cd /tmp
wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
rm GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
sudo add-apt-repository "deb https://apt.repos.intel.com/oneapi all main"
- name: install oneAPI dpcpp compiler
shell: bash
run: |
sudo apt update
sudo apt install intel-oneapi-compiler-dpcpp-cpp libssl-dev
- name: install oneAPI MKL library
shell: bash
run: |
sudo apt install intel-oneapi-mkl-devel
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-22-sycl-fp16
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build
id: cmake_build
run: |
source /opt/intel/oneapi/setvars.sh
cmake -B build \
-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx \
-DGGML_SYCL_F16=ON
cmake --build build --config Release -j $(nproc)
ubuntu-24-openvino:
name: ubuntu-24-openvino-${{ matrix.openvino_device }}
strategy:
matrix:
include:
- variant: cpu
runner: '"ubuntu-24.04"'
openvino_device: "CPU"
- variant: gpu
runner: '["self-hosted","Linux","X64","Intel"]'
openvino_device: "GPU"
runs-on: ${{ fromJSON(matrix.runner) }}
env:
# Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
OPENVINO_VERSION_MAJOR: "2026.0"
OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
if: runner.environment == 'github-hosted'
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-24-openvino-${{ matrix.variant }}-no-preset-v1
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y build-essential libssl-dev libtbb12 cmake ninja-build python3-pip
sudo apt-get install -y ocl-icd-opencl-dev opencl-headers opencl-clhpp-headers intel-opencl-icd
- name: Use OpenVINO Toolkit Cache
if: runner.environment == 'github-hosted'
uses: actions/cache@v5
id: cache-openvino
with:
path: ./openvino_toolkit
key: openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }}
- name: Setup OpenVINO Toolkit
if: steps.cache-openvino.outputs.cache-hit != 'true'
uses: ./.github/actions/linux-setup-openvino
with:
path: ./openvino_toolkit
version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
version_full: ${{ env.OPENVINO_VERSION_FULL }}
- name: Install OpenVINO dependencies
run: |
cd ./openvino_toolkit
chmod +x ./install_dependencies/install_openvino_dependencies.sh
echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh
- name: Build
id: cmake_build
run: |
source ./openvino_toolkit/setupvars.sh
cmake -B build/ReleaseOV -G Ninja \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_OPENVINO=ON
cmake --build build/ReleaseOV --config Release -j $(nproc)
- name: Test
id: cmake_test
# TODO: fix and re-enable the `test-llama-archs` test below
run: |
cd ${{ github.workspace }}
if [ "${{ matrix.openvino_device }}" = "GPU" ]; then
export GGML_OPENVINO_DEVICE=GPU
fi
ctest --test-dir build/ReleaseOV -L main -E "test-llama-archs" --verbose --timeout 2000
windows-latest:
runs-on: windows-2025
@@ -265,6 +682,9 @@ jobs:
- build: 'llvm-arm64'
arch: 'arm64'
defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-llvm.cmake -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON'
- build: 'llvm-arm64-opencl-adreno'
arch: 'arm64'
defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-llvm.cmake -DCMAKE_PREFIX_PATH="$env:RUNNER_TEMP/opencl-arm64-release" -DGGML_OPENCL=ON -DGGML_OPENCL_USE_ADRENO_KERNELS=ON'
steps:
- name: Clone
@@ -272,7 +692,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: windows-latest-${{ matrix.build }}
variant: ccache
@@ -306,6 +726,26 @@ jobs:
run: |
choco install ninja
- name: Install OpenCL Headers and Libs
id: install_opencl
if: ${{ matrix.build == 'llvm-arm64-opencl-adreno' }}
run: |
git clone https://github.com/KhronosGroup/OpenCL-Headers
cd OpenCL-Headers
cmake -B build `
-DBUILD_TESTING=OFF `
-DOPENCL_HEADERS_BUILD_TESTING=OFF `
-DOPENCL_HEADERS_BUILD_CXX_TESTS=OFF `
-DCMAKE_INSTALL_PREFIX="$env:RUNNER_TEMP/opencl-arm64-release"
cmake --build build --target install
git clone https://github.com/KhronosGroup/OpenCL-ICD-Loader
cd OpenCL-ICD-Loader
cmake -B build-arm64-release `
-A arm64 `
-DCMAKE_PREFIX_PATH="$env:RUNNER_TEMP/opencl-arm64-release" `
-DCMAKE_INSTALL_PREFIX="$env:RUNNER_TEMP/opencl-arm64-release"
cmake --build build-arm64-release --target install --config release
- name: Build
id: cmake_build
run: |
@@ -358,7 +798,7 @@ jobs:
apt install -y cmake build-essential ninja-build libgomp1 git libssl-dev
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-latest-cuda
evict-old-files: 1d
@@ -390,7 +830,7 @@ jobs:
uses: actions/checkout@v6
- name: Install ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: windows-cuda-${{ matrix.cuda }}
variant: ccache
@@ -426,6 +866,197 @@ jobs:
cmake --build build --config Release -j %NINJA_JOBS% -t ggml
cmake --build build --config Release
windows-latest-sycl:
runs-on: windows-2022
defaults:
run:
shell: bash
env:
WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/24751ead-ddc5-4479-b9e6-f9fe2ff8b9f2/intel-deep-learning-essentials-2025.2.1.25_offline.exe
WINDOWS_DPCPP_MKL: intel.oneapi.win.cpp-dpcpp-common:intel.oneapi.win.mkl.devel:intel.oneapi.win.dnnl:intel.oneapi.win.tbb.devel
ONEAPI_ROOT: "C:/Program Files (x86)/Intel/oneAPI"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: windows-latest-sycl
variant: ccache
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Install
run: |
scripts/install-oneapi.bat $WINDOWS_BASEKIT_URL $WINDOWS_DPCPP_MKL
# TODO: add ssl support ; we will also need to modify win-build-sycl.bat to accept user-specified args
- name: Build
id: cmake_build
run: examples/sycl/win-build-sycl.bat
windows-latest-hip:
runs-on: windows-2022
env:
# Make sure this is in sync with build-cache.yml
HIPSDK_INSTALLER_VERSION: "26.Q1"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Grab rocWMMA package
id: grab_rocwmma
run: |
curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.2/pool/main/r/rocwmma-dev/rocwmma-dev_2.2.0.70200-43~24.04_amd64.deb"
7z x rocwmma.deb
7z x data.tar
- name: Use ROCm Installation Cache
uses: actions/cache@v5
id: cache-rocm
with:
path: C:\Program Files\AMD\ROCm
key: rocm-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ runner.os }}
- name: Setup ROCm
if: steps.cache-rocm.outputs.cache-hit != 'true'
uses: ./.github/actions/windows-setup-rocm
with:
version: ${{ env.HIPSDK_INSTALLER_VERSION }}
- name: Verify ROCm
id: verify
run: |
# Find and test ROCm installation
$clangPath = Get-ChildItem 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | Select-Object -First 1
if (-not $clangPath) {
Write-Error "ROCm installation not found"
exit 1
}
& $clangPath.FullName --version
- name: Install ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ${{ github.job }}
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build
id: cmake_build
run: |
$env:HIP_PATH=$(Resolve-Path 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | split-path | split-path)
$env:CMAKE_PREFIX_PATH="${env:HIP_PATH}"
cmake -G "Unix Makefiles" -B build -S . `
-DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" `
-DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" `
-DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.0/include/" `
-DCMAKE_BUILD_TYPE=Release `
-DLLAMA_BUILD_BORINGSSL=ON `
-DROCM_DIR="${env:HIP_PATH}" `
-DGGML_HIP=ON `
-DGGML_HIP_ROCWMMA_FATTN=ON `
-DGGML_RPC=ON
cmake --build build -j ${env:NUMBER_OF_PROCESSORS}
ubuntu-cpu-riscv64-native:
runs-on: RISCV64
steps:
- name: Install dependencies
run: |
sudo apt-get update
# Install necessary packages
sudo apt-get install -y libatomic1 libtsan2 gcc-14 g++-14 rustup cmake build-essential libssl-dev wget ccache git-lfs
# Set gcc-14 and g++-14 as the default compilers
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100
sudo ln -sf /usr/bin/gcc-14 /usr/bin/gcc
sudo ln -sf /usr/bin/g++-14 /usr/bin/g++
# Install Rust stable version
rustup install stable
rustup default stable
git lfs install
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Check environment
run: |
uname -a
gcc --version
g++ --version
ldd --version
cmake --version
rustc --version
- name: Setup ccache
run: |
# Set unique cache directory for this job
export CCACHE_DIR="$HOME/.ccache/cpu-cmake-rv64-native"
mkdir -p "$CCACHE_DIR"
# Configure ccache for optimal performance
ccache --set-config=max_size=5G
ccache --set-config=compression=true
ccache --set-config=compression_level=6
ccache --set-config=cache_dir="$CCACHE_DIR"
# Enable more aggressive caching
ccache --set-config=sloppiness=file_macro,time_macros,include_file_mtime,include_file_ctime
ccache --set-config=hash_dir=false
# Export for subsequent steps
echo "CCACHE_DIR=$CCACHE_DIR" >> $GITHUB_ENV
echo "PATH=/usr/lib/ccache:$PATH" >> $GITHUB_ENV
- name: Build
id: cmake_build
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_OPENMP=OFF \
-DLLAMA_BUILD_EXAMPLES=ON \
-DLLAMA_BUILD_TOOLS=ON \
-DLLAMA_BUILD_TESTS=ON \
-DCMAKE_C_COMPILER_LAUNCHER=ccache \
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
-DGGML_RPC=ON \
-DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \
-DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14
cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose --timeout 900
- name: Test llama2c conversion
id: llama2c_test
run: |
cd build
echo "Fetch tokenizer"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/tok512.bin
echo "Fetch llama2c model"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/stories260K.bin
./bin/llama-convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf
./bin/llama-completion -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
# TODO: simplify the following workflows using a matrix
# TODO: run lighter CI on PRs and the full CI only on master (if needed)
ggml-ci-x64-cpu-low-perf:
@@ -437,7 +1068,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-x64-cpu-low-perf
evict-old-files: 1d
@@ -454,32 +1085,31 @@ jobs:
run: |
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
# note: moved to build-self-hosted.yml - can remove from here when everything is stable
# ggml-ci-arm64-cpu-low-perf:
# runs-on: ubuntu-22.04-arm
#
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
#
# - name: ccache
# uses: ggml-org/ccache-action@v1.2.21
# with:
# key: ggml-ci-arm64-cpu-low-perf
# evict-old-files: 1d
# save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
#
# - name: Dependencies
# id: depends
# run: |
# sudo apt-get update
# sudo apt-get install build-essential
#
# - name: Test
# id: ggml-ci
# run: |
# LLAMA_ARG_THREADS=$(nproc) GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
ggml-ci-arm64-cpu-low-perf:
runs-on: ubuntu-22.04-arm
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-arm64-cpu-low-perf
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential
- name: Test
id: ggml-ci
run: |
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
ggml-ci-x64-cpu-high-perf:
runs-on: ubuntu-22.04
@@ -490,7 +1120,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-x64-cpu-high-perf
evict-old-files: 1d
@@ -507,32 +1137,31 @@ jobs:
run: |
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
# note: moved to build-self-hosted.yml - can remove from here when everything is stable
# ggml-ci-arm64-cpu-high-perf:
# runs-on: ubuntu-22.04-arm
#
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
#
# - name: ccache
# uses: ggml-org/ccache-action@v1.2.21
# with:
# key: ggml-ci-arm64-cpu-high-perf
# evict-old-files: 1d
# save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
#
# - name: Dependencies
# id: depends
# run: |
# sudo apt-get update
# sudo apt-get install build-essential
#
# - name: Test
# id: ggml-ci
# run: |
# LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 GG_BUILD_NO_SVE=1 GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
ggml-ci-arm64-cpu-high-perf:
runs-on: ubuntu-22.04-arm
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-arm64-cpu-high-perf
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential
- name: Test
id: ggml-ci
run: |
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 GG_BUILD_NO_SVE=1 GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
ggml-ci-arm64-cpu-high-perf-sve:
runs-on: ubuntu-22.04-arm
@@ -543,7 +1172,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-arm64-cpu-high-perf-sve
evict-old-files: 1d
@@ -569,7 +1198,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-arm64-cpu-kleidiai
evict-old-files: 1d
@@ -621,7 +1250,7 @@ jobs:
sudo apt-get install -y cmake
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-arm64-cpu-kleidiai-graviton4
evict-old-files: 1d

View File

@@ -19,7 +19,7 @@ on:
jobs:
check-vendor:
runs-on: [self-hosted, fast]
runs-on: ubuntu-slim
steps:
- name: Checkout

View File

@@ -17,7 +17,7 @@ jobs:
steps:
- uses: actions/stale@v10
with:
exempt-issue-labels: "refactoring,help wanted,good first issue,research 🔬,bug,roadmap,security"
exempt-issue-labels: "refactoring,help wanted,good first issue,research 🔬,bug,roadmap"
days-before-issue-stale: 30
days-before-issue-close: 14
stale-issue-label: "stale"

View File

@@ -1,51 +0,0 @@
name: Code Style Checker
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
pull_request:
branches:
- master
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
model-naming:
runs-on: [self-hosted, fast]
steps:
- uses: actions/checkout@v6
- name: Check model naming conventions
run: |
python3 - << 'EOF'
import re, os, sys
pairs = re.findall(
r'case\s+(LLM_ARCH_\w+)\s*:\s*\n\s+return new (llama_model_\w+)\s*\(',
open("src/llama-model.cpp").read())
errors = []
for arch, cls in pairs:
suffix = arch[len("LLM_ARCH_"):]
csuffix = cls[len("llama_model_"):]
fname = csuffix.replace("_", "-") + ".cpp"
if not re.fullmatch(r'[A-Z][A-Z0-9_]*', suffix):
errors.append(f"{arch}: suffix not upper snake case, example: LLM_ARCH_MY_MODEL")
if not re.fullmatch(r'[a-z][a-z0-9_]*', csuffix):
errors.append(f"{arch}: class suffix not lower snake case, example: llama_model_my_model")
elif suffix.lower() != csuffix:
errors.append(f"{arch}: arch/class name mismatch, expected class 'llama_model_{suffix.lower()}' but got '{cls}'")
elif not os.path.isfile(f"src/models/{fname}"):
errors.append(f"{arch}: expects model file name to be src/models/{fname}, but not found")
if errors:
print('\n'.join(f" - {e}" for e in errors)); sys.exit(1)
print(f"OK: {len(pairs)} mappings validated.")
EOF

View File

@@ -29,7 +29,7 @@ jobs:
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: copilot-setup-steps
evict-old-files: 1d
@@ -52,5 +52,6 @@ jobs:
- name: Install Python dependencies
run: |
python3 -m venv .venv
source .venv/bin/activate
.venv/bin/activate
pip install -r requirements/requirements-all.txt -r tools/server/tests/requirements.txt
pip install flake8 pyright pre-commit

View File

@@ -11,11 +11,6 @@ name: Publish Docker image
on:
workflow_dispatch: # allows manual triggering
inputs:
skip_s390x:
description: "Skip the s390x build target (useful for fast test runs that do not need the IBM Z runner)"
type: boolean
default: false
schedule:
# Rebuild daily rather than on every push because it is expensive
- cron: '12 4 * * *'
@@ -30,13 +25,186 @@ permissions:
packages: write
jobs:
push_to_registry:
name: Push Docker image to Docker Hub
runs-on: ${{ matrix.config.runs_on }}
env:
COMMIT_SHA: ${{ github.sha }}
strategy:
fail-fast: false
matrix:
config:
# Multi-stage build
# Note: the arm64 images are failing, which prevents the amd64 images from being built
# https://github.com/ggml-org/llama.cpp/issues/11888
#- { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/amd64,linux/arm64", full: true, light: true, server: true, free_disk_space: false }
- { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04" }
- { tag: "cuda cuda12", dockerfile: ".devops/cuda.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true, runs_on: "ubuntu-22.04", cuda_version: "12.4.0", ubuntu_version: "22.04" }
- { tag: "cuda13", dockerfile: ".devops/cuda-new.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true, runs_on: "ubuntu-22.04", cuda_version: "13.1.0", ubuntu_version: "24.04" }
- { tag: "musa", dockerfile: ".devops/musa.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true, runs_on: "ubuntu-22.04" }
- { tag: "intel", dockerfile: ".devops/intel.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true, runs_on: "ubuntu-22.04" }
- { tag: "vulkan", dockerfile: ".devops/vulkan.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04" }
- { tag: "s390x", dockerfile: ".devops/s390x.Dockerfile", platforms: "linux/s390x", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04-s390x" }
- { tag: "rocm", dockerfile: ".devops/rocm.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true, runs_on: "ubuntu-22.04" }
- { tag: "openvino", dockerfile: ".devops/openvino.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04" }
steps:
- name: Check out the repo
uses: actions/checkout@v6
with:
fetch-depth: 0 # preserve git history, so we can determine the build number
- name: Set up QEMU
if: ${{ matrix.config.tag != 's390x' }}
uses: docker/setup-qemu-action@v3
with:
image: tonistiigi/binfmt:qemu-v7.0.0-28
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Log in to Docker Hub
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Determine source tag name
id: srctag
uses: ./.github/actions/get-tag-name
env:
BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
- name: Determine image tag name
id: tag
shell: bash
run: |
REPO_OWNER="${GITHUB_REPOSITORY_OWNER@L}" # to lower case
REPO_NAME="${{ github.event.repository.name }}"
PREFIX="ghcr.io/${REPO_OWNER}/${REPO_NAME}:"
# list all tags possible
tags="${{ matrix.config.tag }}"
for tag in $tags; do
if [[ "$tag" == "cpu" ]]; then
TYPE=""
else
TYPE="-$tag"
fi
CACHETAGS="${PREFIX}buildcache${TYPE}"
FULLTAGS="${FULLTAGS:+$FULLTAGS,}${PREFIX}full${TYPE},${PREFIX}full${TYPE}-${{ steps.srctag.outputs.name }}"
LIGHTTAGS="${LIGHTTAGS:+$LIGHTTAGS,}${PREFIX}light${TYPE},${PREFIX}light${TYPE}-${{ steps.srctag.outputs.name }}"
SERVERTAGS="${SERVERTAGS:+$SERVERTAGS,}${PREFIX}server${TYPE},${PREFIX}server${TYPE}-${{ steps.srctag.outputs.name }}"
done
echo "cache_output_tags=$CACHETAGS" >> $GITHUB_OUTPUT
echo "full_output_tags=$FULLTAGS" >> $GITHUB_OUTPUT
echo "light_output_tags=$LIGHTTAGS" >> $GITHUB_OUTPUT
echo "server_output_tags=$SERVERTAGS" >> $GITHUB_OUTPUT
echo "cache_output_tags=$CACHETAGS" # print out for debugging
echo "full_output_tags=$FULLTAGS" # print out for debugging
echo "light_output_tags=$LIGHTTAGS" # print out for debugging
echo "server_output_tags=$SERVERTAGS" # print out for debugging
env:
GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'
- name: Free Disk Space (Ubuntu)
if: ${{ matrix.config.free_disk_space == true }}
uses: ggml-org/free-disk-space@v1.3.1
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: false
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: true
swap-storage: true
- name: Build and push Full Docker image (tagged + versioned)
if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.full == true }}
uses: docker/build-push-action@v6
with:
context: .
push: true
platforms: ${{ matrix.config.platforms }}
# tag list is generated from step above
tags: ${{ steps.tag.outputs.full_output_tags }}
file: ${{ matrix.config.dockerfile }}
target: full
provenance: false
build-args: |
${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
# using github experimental cache
#cache-from: type=gha
#cache-to: type=gha,mode=max
# return to this if the experimental github cache is having issues
#cache-to: type=local,dest=/tmp/.buildx-cache
#cache-from: type=local,src=/tmp/.buildx-cache
# using registry cache (no storage limit)
cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
- name: Build and push Light Docker image (tagged + versioned)
if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.light == true }}
uses: docker/build-push-action@v6
with:
context: .
push: true
platforms: ${{ matrix.config.platforms }}
# tag list is generated from step above
tags: ${{ steps.tag.outputs.light_output_tags }}
file: ${{ matrix.config.dockerfile }}
target: light
provenance: false
build-args: |
${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
# using github experimental cache
#cache-from: type=gha
#cache-to: type=gha,mode=max
# return to this if the experimental github cache is having issues
#cache-to: type=local,dest=/tmp/.buildx-cache
#cache-from: type=local,src=/tmp/.buildx-cache
# using registry cache (no storage limit)
cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
- name: Build and push Server Docker image (tagged + versioned)
if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.server == true }}
uses: docker/build-push-action@v6
with:
context: .
push: true
platforms: ${{ matrix.config.platforms }}
# tag list is generated from step above
tags: ${{ steps.tag.outputs.server_output_tags }}
file: ${{ matrix.config.dockerfile }}
target: server
provenance: false
build-args: |
${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
# using github experimental cache
#cache-from: type=gha
#cache-to: type=gha,mode=max
# return to this if the experimental github cache is having issues
#cache-to: type=local,dest=/tmp/.buildx-cache
#cache-from: type=local,src=/tmp/.buildx-cache
# using registry cache (no storage limit)
cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
create_tag:
name: Create and push git tag
runs-on: ubuntu-slim
runs-on: ubuntu-22.04
permissions:
contents: write
outputs:
source_tag: ${{ steps.srctag.outputs.name }}
steps:
- name: Clone
@@ -57,459 +225,3 @@ jobs:
run: |
git tag ${{ steps.srctag.outputs.name }} || exit 0
git push origin ${{ steps.srctag.outputs.name }} || exit 0
prepare_matrices:
name: Prepare Docker matrices
runs-on: ubuntu-24.04
outputs:
build_matrix: ${{ steps.matrices.outputs.build_matrix }}
merge_matrix: ${{ steps.matrices.outputs.merge_matrix }}
steps:
- name: Generate build and merge matrices
id: matrices
shell: bash
env:
SKIP_S390X: ${{ inputs.skip_s390x || 'false' }}
run: |
set -euo pipefail
# Keep all build targets in one place and derive merge targets from it.
cat > build-matrix.json <<'JSON'
[
{ "tag": "cpu", "dockerfile": ".devops/cpu.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" },
{ "tag": "cpu", "dockerfile": ".devops/cpu.Dockerfile", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-arm" },
{ "tag": "cpu", "dockerfile": ".devops/s390x.Dockerfile", "platforms": "linux/s390x", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-s390x" },
{ "tag": "cuda cuda12", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "12.8.1", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
{ "tag": "cuda cuda12", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "12.8.1", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04-arm" },
{ "tag": "cuda13", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "13.1.1", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
{ "tag": "cuda13", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "13.1.1", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04-arm" },
{ "tag": "musa", "dockerfile": ".devops/musa.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
{ "tag": "intel", "dockerfile": ".devops/intel.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
{ "tag": "vulkan", "dockerfile": ".devops/vulkan.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" },
{ "tag": "vulkan", "dockerfile": ".devops/vulkan.Dockerfile", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-arm" },
{ "tag": "rocm", "dockerfile": ".devops/rocm.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
{ "tag": "openvino", "dockerfile": ".devops/openvino.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" }
]
JSON
if [ "${SKIP_S390X}" = "true" ]; then
jq 'map(select(.platforms != "linux/s390x"))' build-matrix.json > build-matrix.json.tmp
mv build-matrix.json.tmp build-matrix.json
fi
BUILD_MATRIX="$(jq -c . build-matrix.json)"
MERGE_MATRIX="$(jq -c '
reduce .[] as $entry ({}; .[$entry.tag] |= (
. // {
tag: $entry.tag,
arches: [],
full: false,
light: false,
server: false
}
| .full = (.full or ($entry.full // false))
| .light = (.light or ($entry.light // false))
| .server = (.server or ($entry.server // false))
| .arches += [($entry.platforms | sub("^linux/"; ""))]
))
# Backward compatibility: s390x tags are aliases of cpu for the linux/s390x platform.
| if (has("cpu") and (((.cpu.arches // []) | index("s390x")) != null)) then
. + {
s390x: {
tag: "s390x",
arches: ["s390x"],
full: .cpu.full,
light: .cpu.light,
server: .cpu.server
}
}
else
.
end
| [.[] | .arches = (.arches | unique | sort | join(" "))]
' build-matrix.json)"
echo "build_matrix=$BUILD_MATRIX" >> "$GITHUB_OUTPUT"
echo "merge_matrix=$MERGE_MATRIX" >> "$GITHUB_OUTPUT"
push_to_registry:
name: Push Docker image to Docker Registry
needs: [prepare_matrices, create_tag]
runs-on: ${{ matrix.config.runs_on }}
strategy:
fail-fast: false
matrix:
config: ${{ fromJSON(needs.prepare_matrices.outputs.build_matrix) }}
steps:
- name: Check out the repo
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ needs.create_tag.outputs.source_tag }}
- name: Set up QEMU
if: ${{ contains(matrix.config.platforms, 'linux/amd64') }}
uses: docker/setup-qemu-action@ce360397dd3f832beb865e1373c09c0e9f86d70a # v4
with:
image: tonistiigi/binfmt:qemu-v10.2.1
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4
- name: Log in to Docker Registry
uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Determine image metadata
id: meta
shell: bash
run: |
set -euo pipefail
REPO_OWNER="${GITHUB_REPOSITORY_OWNER@L}" # to lower case
REPO_NAME="${{ github.event.repository.name }}"
IMAGE_REPO="ghcr.io/${REPO_OWNER}/${REPO_NAME}"
PREFIX="${IMAGE_REPO}:"
PLATFORM="${{ matrix.config.platforms }}"
ARCH_SUFFIX="${PLATFORM#linux/}"
# list all tags possible
tags="${{ matrix.config.tag }}"
for tag in $tags; do
if [[ "$tag" == "cpu" ]]; then
TYPE=""
else
TYPE="-$tag"
fi
CACHETAG="${PREFIX}buildcache${TYPE}-${ARCH_SUFFIX}"
done
SAFE_TAGS="$(echo "$tags" | tr ' ' '_')"
echo "image_repo=$IMAGE_REPO" >> $GITHUB_OUTPUT
echo "arch_suffix=$ARCH_SUFFIX" >> $GITHUB_OUTPUT
echo "cache_output_tag=$CACHETAG" >> $GITHUB_OUTPUT
echo "digest_artifact_suffix=${SAFE_TAGS}-${ARCH_SUFFIX}" >> $GITHUB_OUTPUT
echo "cache_output_tag=$CACHETAG" # print out for debugging
env:
GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'
- name: Get build date
id: build_date
run: echo "date=$(date -u +"%Y-%m-%dT%H:%M:%SZ")" >> $GITHUB_OUTPUT
- name: Free Disk Space (Ubuntu)
if: ${{ matrix.config.free_disk_space == true }}
uses: ggml-org/free-disk-space@v1.3.1
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: false
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: true
swap-storage: true
- name: Build and push Full Docker image by digest
id: build_full
if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.full == true }}
uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
with:
context: .
platforms: ${{ matrix.config.platforms }}
outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true,oci-mediatypes=true
file: ${{ matrix.config.dockerfile }}
target: full
provenance: false
build-args: |
BUILD_DATE=${{ steps.build_date.outputs.date }}
APP_VERSION=${{ needs.create_tag.outputs.source_tag }}
APP_REVISION=${{ steps.checkout.outputs.commit }}
IMAGE_URL=${{ github.server_url }}/${{ github.repository }}
IMAGE_SOURCE=${{ github.server_url }}/${{ github.repository }}
${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
annotations: |
manifest:org.opencontainers.image.created=${{ steps.build_date.outputs.date }}
manifest:org.opencontainers.image.version=${{ needs.create_tag.outputs.source_tag }}
manifest:org.opencontainers.image.revision=${{ steps.checkout.outputs.commit }}
manifest:org.opencontainers.image.title=llama.cpp
manifest:org.opencontainers.image.description=LLM inference in C/C++
manifest:org.opencontainers.image.url=${{ github.server_url }}/${{ github.repository }}
manifest:org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}
# using github experimental cache
#cache-from: type=gha
#cache-to: type=gha,mode=max
# return to this if the experimental github cache is having issues
#cache-to: type=local,dest=/tmp/.buildx-cache
#cache-from: type=local,src=/tmp/.buildx-cache
# using registry cache (no storage limit)
cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
- name: Build and push Light Docker image by digest
id: build_light
if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.light == true }}
uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
with:
context: .
platforms: ${{ matrix.config.platforms }}
outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true,oci-mediatypes=true
file: ${{ matrix.config.dockerfile }}
target: light
provenance: false
build-args: |
BUILD_DATE=${{ steps.build_date.outputs.date }}
APP_VERSION=${{ needs.create_tag.outputs.source_tag }}
APP_REVISION=${{ steps.checkout.outputs.commit }}
IMAGE_URL=${{ github.server_url }}/${{ github.repository }}
IMAGE_SOURCE=${{ github.server_url }}/${{ github.repository }}
${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
annotations: |
manifest:org.opencontainers.image.created=${{ steps.build_date.outputs.date }}
manifest:org.opencontainers.image.version=${{ needs.create_tag.outputs.source_tag }}
manifest:org.opencontainers.image.revision=${{ steps.checkout.outputs.commit }}
manifest:org.opencontainers.image.title=llama.cpp
manifest:org.opencontainers.image.description=LLM inference in C/C++
manifest:org.opencontainers.image.url=${{ github.server_url }}/${{ github.repository }}
manifest:org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}
# using github experimental cache
#cache-from: type=gha
#cache-to: type=gha,mode=max
# return to this if the experimental github cache is having issues
#cache-to: type=local,dest=/tmp/.buildx-cache
#cache-from: type=local,src=/tmp/.buildx-cache
# using registry cache (no storage limit)
cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
- name: Build and push Server Docker image by digest
id: build_server
if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.server == true }}
uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
with:
context: .
platforms: ${{ matrix.config.platforms }}
outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true,oci-mediatypes=true
file: ${{ matrix.config.dockerfile }}
target: server
provenance: false
build-args: |
BUILD_DATE=${{ steps.build_date.outputs.date }}
APP_VERSION=${{ needs.create_tag.outputs.source_tag }}
APP_REVISION=${{ steps.checkout.outputs.commit }}
IMAGE_URL=${{ github.server_url }}/${{ github.repository }}
IMAGE_SOURCE=${{ github.server_url }}/${{ github.repository }}
${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
annotations: |
manifest:org.opencontainers.image.created=${{ steps.build_date.outputs.date }}
manifest:org.opencontainers.image.version=${{ needs.create_tag.outputs.source_tag }}
manifest:org.opencontainers.image.revision=${{ steps.checkout.outputs.commit }}
manifest:org.opencontainers.image.title=llama.cpp
manifest:org.opencontainers.image.description=LLM inference in C/C++
manifest:org.opencontainers.image.url=${{ github.server_url }}/${{ github.repository }}
manifest:org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}
# using github experimental cache
#cache-from: type=gha
#cache-to: type=gha,mode=max
# return to this if the experimental github cache is having issues
#cache-to: type=local,dest=/tmp/.buildx-cache
#cache-from: type=local,src=/tmp/.buildx-cache
# using registry cache (no storage limit)
cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
- name: Export digest metadata
shell: bash
run: |
set -euo pipefail
TAGS="${{ matrix.config.tag }}"
ARCH_SUFFIX="${{ steps.meta.outputs.arch_suffix }}"
DIGEST_FILE="/tmp/digests/${{ steps.meta.outputs.digest_artifact_suffix }}.tsv"
mkdir -p /tmp/digests
add_digest_rows() {
local image_type="$1"
local digest="$2"
if [[ -z "$digest" ]]; then
echo "Missing digest for image_type=${image_type}" >&2
exit 1
fi
for tag in $TAGS; do
printf '%s\t%s\t%s\t%s\n' "$tag" "$ARCH_SUFFIX" "$image_type" "$digest" >> "$DIGEST_FILE"
done
}
if [[ "${{ matrix.config.full }}" == "true" ]]; then
add_digest_rows "full" "${{ steps.build_full.outputs.digest }}"
fi
if [[ "${{ matrix.config.light }}" == "true" ]]; then
add_digest_rows "light" "${{ steps.build_light.outputs.digest }}"
fi
if [[ "${{ matrix.config.server }}" == "true" ]]; then
add_digest_rows "server" "${{ steps.build_server.outputs.digest }}"
fi
- name: Upload digest metadata
uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7
with:
name: digests-${{ steps.meta.outputs.digest_artifact_suffix }}
path: /tmp/digests/${{ steps.meta.outputs.digest_artifact_suffix }}.tsv
if-no-files-found: error
merge_arch_tags:
name: Create shared tags from digests
needs: [prepare_matrices, push_to_registry, create_tag]
runs-on: ubuntu-24.04
strategy:
fail-fast: false
matrix:
config: ${{ fromJSON(needs.prepare_matrices.outputs.merge_matrix) }}
steps:
- name: Check out the repo
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Get build date
id: build_date
run: echo "date=$(date -u +"%Y-%m-%dT%H:%M:%SZ")" >> $GITHUB_OUTPUT
- name: Download digest metadata
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
with:
pattern: digests-*
path: /tmp/digests
merge-multiple: true
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4
- name: Log in to Docker Registry
uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Create tags from digests
shell: bash
run: |
set -euo pipefail
REPO_OWNER="${GITHUB_REPOSITORY_OWNER@L}" # to lower case
REPO_NAME="${{ github.event.repository.name }}"
IMAGE_REPO="ghcr.io/${REPO_OWNER}/${REPO_NAME}"
PREFIX="${IMAGE_REPO}:"
SRC_TAG="${{ needs.create_tag.outputs.source_tag }}"
BUILD_DATE="${{ steps.build_date.outputs.date }}"
COMMIT_SHA="${{ steps.checkout.outputs.commit }}"
TAGS="${{ matrix.config.tag }}"
ARCHES="${{ matrix.config.arches }}"
DIGEST_GLOB="/tmp/digests/*.tsv"
if ! ls ${DIGEST_GLOB} >/dev/null 2>&1; then
echo "No digest metadata found in /tmp/digests" >&2
exit 1
fi
if [[ -z "$SRC_TAG" ]]; then
echo "Missing source tag from create_tag" >&2
exit 1
fi
find_digest() {
local tag_name="$1"
local arch="$2"
local image_type="$3"
local digest
digest="$(awk -F '\t' -v t="$tag_name" -v a="$arch" -v i="$image_type" '$1 == t && $2 == a && $3 == i { print $4; exit }' ${DIGEST_GLOB})"
# Backward compatibility: s390x tags are aliases of cpu for the linux/s390x platform.
if [[ -z "$digest" && "$tag_name" == "s390x" && "$arch" == "s390x" ]]; then
digest="$(awk -F '\t' -v t="cpu" -v a="$arch" -v i="$image_type" '$1 == t && $2 == a && $3 == i { print $4; exit }' ${DIGEST_GLOB})"
fi
if [[ -z "$digest" ]]; then
echo "Missing digest for tag=${tag_name} arch=${arch} image_type=${image_type}" >&2
exit 1
fi
echo "$digest"
}
create_manifest_tags() {
local image_type="$1"
local tag_name="$2"
local suffix="$3"
local merged_tag="${PREFIX}${image_type}${suffix}"
local merged_versioned_tag="${merged_tag}-${SRC_TAG}"
local refs=()
for arch in $ARCHES; do
local digest
digest="$(find_digest "$tag_name" "$arch" "$image_type")"
refs+=("${IMAGE_REPO}@${digest}")
done
local annotations=(
--annotation "index:org.opencontainers.image.created=${BUILD_DATE}"
--annotation "index:org.opencontainers.image.version=${SRC_TAG}"
--annotation "index:org.opencontainers.image.revision=${COMMIT_SHA}"
--annotation "index:org.opencontainers.image.title=llama.cpp"
--annotation "index:org.opencontainers.image.description=LLM inference in C/C++"
--annotation "index:org.opencontainers.image.url=${{ github.server_url }}/${{ github.repository }}"
--annotation "index:org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}"
)
echo "Creating ${merged_tag} from ${refs[*]}"
docker buildx imagetools create "${annotations[@]}" --tag "${merged_tag}" "${refs[@]}"
echo "Creating ${merged_versioned_tag} from ${refs[*]}"
docker buildx imagetools create "${annotations[@]}" --tag "${merged_versioned_tag}" "${refs[@]}"
}
for tag in $TAGS; do
if [[ "$tag" == "cpu" ]]; then
TYPE=""
else
TYPE="-$tag"
fi
if [[ "${{ matrix.config.full }}" == "true" ]]; then
create_manifest_tags "full" "$tag" "$TYPE"
fi
if [[ "${{ matrix.config.light }}" == "true" ]]; then
create_manifest_tags "light" "$tag" "$TYPE"
fi
if [[ "${{ matrix.config.server }}" == "true" ]]; then
create_manifest_tags "server" "$tag" "$TYPE"
fi
done
env:
GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'

View File

@@ -2,6 +2,11 @@ name: EditorConfig Checker
on:
workflow_dispatch: # allows manual triggering
inputs:
create_release:
description: 'Create new release'
required: true
type: boolean
push:
branches:
- master
@@ -15,10 +20,10 @@ concurrency:
jobs:
editorconfig:
runs-on: [self-hosted, fast]
runs-on: ubuntu-slim
steps:
- uses: actions/checkout@v6
- uses: editorconfig-checker/action-editorconfig-checker@840e866d93b8e032123c23bac69dece044d4d84c # v2.2.0
- uses: editorconfig-checker/action-editorconfig-checker@v2
with:
version: v3.0.3
- run: editorconfig-checker

View File

@@ -28,17 +28,17 @@ jobs:
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.11'
pip-install: poetry==2.4.0
python-version: '3.9.x'
- name: Install dependencies
run: |
cd gguf-py
python -m pip install poetry
poetry install
- name: Build package
run: cd gguf-py && poetry build
- name: Publish package
uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
uses: pypa/gh-action-pypi-publish@release/v1
with:
password: ${{ secrets.PYPI_API_TOKEN }}
packages-dir: gguf-py/dist

View File

@@ -1,82 +0,0 @@
name: HIP quality check
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/hip-quality-check.yml',
'**/*.cu',
'**/*.cuh',
'scripts/hip/gcn-cdna-vgpr-check.py'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/hip-quality-check.yml',
'**/*.cu',
'**/*.cuh',
'scripts/hip/gcn-cdna-vgpr-check.py'
]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_LOG_COLORS: 1
LLAMA_LOG_PREFIX: 1
LLAMA_LOG_TIMESTAMPS: 1
jobs:
ubuntu-22-hip-quality-check:
runs-on: ubuntu-22.04
container: rocm/dev-ubuntu-22.04:7.2.1
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev python3
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: ubuntu-22-hip-quality-check
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build with Werror
id: cmake_build
run: |
cmake -B build -S . \
-DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
-DGPU_TARGETS=gfx942 \
-DGGML_HIP=ON \
-DGGML_HIP_EXPORT_METRICS=Off \
-DCMAKE_HIP_FLAGS="-Werror -Wno-tautological-compare" \
-DCMAKE_BUILD_TYPE=Release
cd build
make -j $(nproc)
- name: Check for major VGPR spills
id: vgpr_check
run: |
cmake -B build -S . \
-DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
-DGPU_TARGETS=gfx908 \
-DGGML_HIP=ON \
-DGGML_HIP_EXPORT_METRICS=On \
-DCMAKE_HIP_FLAGS="" \
-DCMAKE_BUILD_TYPE=Release
cd build
make -j $(nproc) 2>&1 | tee metrics.log | grep -v 'Rpass-analysis=kernel-resource-usage\|remark:\|^$'
python3 ../scripts/hip/gcn-cdna-vgpr-check.py metrics.log

View File

@@ -3,16 +3,16 @@ name: Check Pre-Tokenizer Hashes
on:
push:
paths:
- 'conversion/base.py'
- 'convert_hf_to_gguf.py'
- 'convert_hf_to_gguf_update.py'
pull_request:
paths:
- 'conversion/base.py'
- 'convert_hf_to_gguf.py'
- 'convert_hf_to_gguf_update.py'
jobs:
pre-tokenizer-hashes:
runs-on: [self-hosted, fast]
runs-on: ubuntu-slim
steps:
- name: Checkout repository
@@ -30,16 +30,16 @@ jobs:
- name: Update pre-tokenizer hashes
run: |
cp conversion/base.py /tmp
cp convert_hf_to_gguf.py /tmp
.venv/bin/python convert_hf_to_gguf_update.py --check-missing
- name: Check if committed pre-tokenizer hashes matches generated version
run: |
if ! diff -q conversion/base.py /tmp/base.py; then
echo "Model pre-tokenizer hashes (in conversion/base.py) do not match generated hashes (from convert_hf_to_gguf_update.py)."
echo "To fix: run ./convert_hf_to_gguf_update.py and commit the updated conversion/base.py along with your changes"
if ! diff -q convert_hf_to_gguf.py /tmp/convert_hf_to_gguf.py; then
echo "Model pre-tokenizer hashes (in convert_hf_to_gguf.py) do not match generated hashes (from convert_hf_to_gguf_update.py)."
echo "To fix: run ./convert_hf_to_gguf_update.py and commit the updated convert_hf_to_gguf.py along with your changes"
echo "Differences found:"
diff conversion/base.py /tmp/base.py || true
diff convert_hf_to_gguf.py /tmp/convert_hf_to_gguf.py || true
exit 1
fi
echo "Model pre-tokenizer hashes are up to date."

View File

@@ -20,7 +20,7 @@ concurrency:
jobs:
python-check-requirements:
runs-on: [self-hosted, CPU, fast]
runs-on: ubuntu-slim
name: check-requirements
steps:
- name: Check out source repository

View File

@@ -21,7 +21,7 @@ concurrency:
jobs:
flake8-lint:
runs-on: [self-hosted, fast]
runs-on: ubuntu-slim
name: Lint
steps:
- name: Check out source repository
@@ -31,6 +31,6 @@ jobs:
with:
python-version: "3.11"
- name: flake8 Lint
uses: py-actions/flake8@84ec6726560b6d5bd68f2a5bed83d62b52bb50ba # v2
uses: py-actions/flake8@v2
with:
plugins: "flake8-no-print"

View File

@@ -4,17 +4,15 @@ on:
push:
paths:
- '.github/workflows/python-type-check.yml'
- 'ty.toml'
- 'pyrightconfig.json'
- '**.py'
- '**/requirements*.txt'
# - 'pyrightconfig.json'
pull_request:
paths:
- '.github/workflows/python-type-check.yml'
- 'ty.toml'
- 'pyrightconfig.json'
- '**.py'
- '**/requirements*.txt'
# - 'pyrightconfig.json'
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
@@ -22,8 +20,8 @@ concurrency:
jobs:
python-type-check:
runs-on: [self-hosted, fast]
name: python type-check
runs-on: ubuntu-latest
name: pyright type-check
steps:
- name: Check out source repository
uses: actions/checkout@v6
@@ -31,13 +29,10 @@ jobs:
uses: actions/setup-python@v6
with:
python-version: "3.11"
pip-install: -r requirements/requirements-all.txt ty==0.0.35
# - name: Type-check with Pyright
# uses: jakebailey/pyright-action@v2
# with:
# version: 1.1.382
# level: warning
# warnings: true
- name: Type-check with ty
run: |
ty check --output-format=github
pip-install: -r requirements/requirements-all.txt
- name: Type-check with Pyright
uses: jakebailey/pyright-action@v2
with:
version: 1.1.382
level: warning
warnings: true

View File

@@ -36,28 +36,8 @@ env:
CMAKE_ARGS: "-DLLAMA_BUILD_EXAMPLES=OFF -DLLAMA_BUILD_TESTS=OFF -DLLAMA_BUILD_TOOLS=ON -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON"
jobs:
macOS-cpu:
strategy:
matrix:
include:
- build: 'arm64'
arch: 'arm64'
os: macos-14
defines: "-DGGML_METAL_USE_BF16=ON -DGGML_METAL_EMBED_LIBRARY=ON"
- build: 'arm64-kleidiai'
arch: 'arm64'
os: macos-14
defines: "-DGGML_METAL_USE_BF16=ON -DGGML_METAL_EMBED_LIBRARY=ON -DGGML_CPU_KLEIDIAI=ON"
- build: 'x64'
arch: 'x64'
os: macos-15-intel
# Metal is disabled on x64 due to intermittent failures with Github runners not having a GPU:
# https://github.com/ggml-org/llama.cpp/actions/runs/8635935781/job/23674807267#step:5:2313
defines: "-DGGML_METAL=OFF -DCMAKE_OSX_DEPLOYMENT_TARGET=13.3"
runs-on: ${{ matrix.os }}
macOS-arm64:
runs-on: macos-14
steps:
- name: Clone
@@ -66,17 +46,10 @@ jobs:
with:
fetch-depth: 0
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: macOS-latest-${{ matrix.arch }}
key: macOS-latest-arm64
evict-old-files: 1d
- name: Build
@@ -84,11 +57,13 @@ jobs:
run: |
sysctl -a
cmake -B build \
${{ matrix.defines }} \
-DCMAKE_INSTALL_RPATH='@loader_path' \
-DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
-DLLAMA_FATAL_WARNINGS=ON \
-DLLAMA_BUILD_BORINGSSL=ON \
-DGGML_METAL_USE_BF16=ON \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DGGML_RPC=ON \
${{ env.CMAKE_ARGS }}
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
@@ -100,25 +75,73 @@ jobs:
id: pack_artifacts
run: |
cp LICENSE ./build/bin/
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-macos-${{ matrix.build }}.tar.gz -s ",^\.,llama-${{ steps.tag.outputs.name }}," -C ./build/bin .
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-macos-arm64.tar.gz -s ",./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
- name: Upload artifacts
uses: actions/upload-artifact@v6
with:
path: llama-${{ steps.tag.outputs.name }}-bin-macos-${{ matrix.build }}.tar.gz
name: llama-bin-macos-${{ matrix.build }}.tar.gz
path: llama-${{ steps.tag.outputs.name }}-bin-macos-arm64.tar.gz
name: llama-bin-macos-arm64.tar.gz
ubuntu-cpu:
macOS-x64:
runs-on: macos-15-intel
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: macOS-latest-x64
evict-old-files: 1d
- name: Build
id: cmake_build
run: |
sysctl -a
# Metal is disabled due to intermittent failures with Github runners not having a GPU:
# https://github.com/ggml-org/llama.cpp/actions/runs/8635935781/job/23674807267#step:5:2313
cmake -B build \
-DCMAKE_INSTALL_RPATH='@loader_path' \
-DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
-DLLAMA_FATAL_WARNINGS=ON \
-DLLAMA_BUILD_BORINGSSL=ON \
-DGGML_METAL=OFF \
-DGGML_RPC=ON \
-DCMAKE_OSX_DEPLOYMENT_TARGET=13.3
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
- name: Determine tag name
id: tag
uses: ./.github/actions/get-tag-name
- name: Pack artifacts
id: pack_artifacts
run: |
cp LICENSE ./build/bin/
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-macos-x64.tar.gz -s ",./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
- name: Upload artifacts
uses: actions/upload-artifact@v6
with:
path: llama-${{ steps.tag.outputs.name }}-bin-macos-x64.tar.gz
name: llama-bin-macos-x64.tar.gz
ubuntu-22-cpu:
strategy:
matrix:
include:
- build: 'x64'
os: ubuntu-22.04
- build: 'arm64'
os: ubuntu-24.04-arm
- build: 's390x'
os: ubuntu-24.04-s390x
# GGML_BACKEND_DL and GGML_CPU_ALL_VARIANTS are not currently supported on arm
# - build: 'arm64'
# os: ubuntu-22.04-arm
runs-on: ${{ matrix.os }}
@@ -129,16 +152,8 @@ jobs:
with:
fetch-depth: 0
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: ccache
if: ${{ matrix.build != 's390x' }}
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-cpu-${{ matrix.build }}
evict-old-files: 1d
@@ -149,13 +164,6 @@ jobs:
sudo apt-get update
sudo apt-get install build-essential libssl-dev
- name: Toolchain workaround (GCC 14)
if: ${{ contains(matrix.os, 'ubuntu-24.04') }}
run: |
sudo apt-get install -y gcc-14 g++-14
echo "CC=gcc-14" >> "$GITHUB_ENV"
echo "CXX=g++-14" >> "$GITHUB_ENV"
- name: Build
id: cmake_build
run: |
@@ -177,7 +185,7 @@ jobs:
id: pack_artifacts
run: |
cp LICENSE ./build/bin/
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-${{ matrix.build }}.tar.gz --transform "s,^\.,llama-${{ steps.tag.outputs.name }}," -C ./build/bin .
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-${{ matrix.build }}.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
- name: Upload artifacts
uses: actions/upload-artifact@v6
@@ -185,17 +193,8 @@ jobs:
path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-${{ matrix.build }}.tar.gz
name: llama-bin-ubuntu-${{ matrix.build }}.tar.gz
ubuntu-vulkan:
strategy:
matrix:
include:
- build: 'x64'
os: ubuntu-22.04
- build: 'arm64'
os: ubuntu-24.04-arm
runs-on: ${{ matrix.os }}
ubuntu-22-vulkan:
runs-on: ubuntu-22.04
steps:
- name: Clone
@@ -204,33 +203,19 @@ jobs:
with:
fetch-depth: 0
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-vulkan-${{ matrix.build }}
key: ubuntu-22-vulkan
evict-old-files: 1d
- name: Dependencies
id: depends
run: |
if [[ "${{ matrix.os }}" =~ "ubuntu-22.04" ]]; then
wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | sudo apt-key add -
sudo wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list
sudo apt-get update -y
sudo apt-get install -y build-essential mesa-vulkan-drivers vulkan-sdk libssl-dev
else
sudo apt-get update -y
sudo apt-get install -y gcc-14 g++-14 build-essential glslc libvulkan-dev spirv-headers libssl-dev ninja-build
echo "CC=gcc-14" >> "$GITHUB_ENV"
echo "CXX=g++-14" >> "$GITHUB_ENV"
fi
wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | sudo apt-key add -
sudo wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list
sudo apt-get update -y
sudo apt-get install -y build-essential mesa-vulkan-drivers vulkan-sdk libssl-dev
- name: Build
id: cmake_build
@@ -253,93 +238,15 @@ jobs:
id: pack_artifacts
run: |
cp LICENSE ./build/bin/
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-${{ matrix.build }}.tar.gz --transform "s,^\.,llama-${{ steps.tag.outputs.name }}," -C ./build/bin .
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
- name: Upload artifacts
uses: actions/upload-artifact@v6
with:
path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-${{ matrix.build }}.tar.gz
name: llama-bin-ubuntu-vulkan-${{ matrix.build }}.tar.gz
android-arm64:
runs-on: ubuntu-latest
env:
NDK_VERSION: "29.0.14206865"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: android-arm64
evict-old-files: 1d
- name: Set up JDK
uses: actions/setup-java@v5
with:
java-version: 17
distribution: temurin
- name: Setup Android SDK
uses: android-actions/setup-android@40fd30fb8d7440372e1316f5d1809ec01dcd3699 # v4.0.1
with:
log-accepted-android-sdk-licenses: false
- name: Install NDK
run: |
sdkmanager "ndk;${{ env.NDK_VERSION }}"
echo "ANDROID_NDK=${ANDROID_SDK_ROOT}/ndk/${{ env.NDK_VERSION }}" >> $GITHUB_ENV
- name: Build
id: cmake_build
run: |
cmake -B build \
-DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake \
-DANDROID_ABI=arm64-v8a \
-DANDROID_PLATFORM=android-28 \
-DCMAKE_INSTALL_RPATH='$ORIGIN' \
-DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
-DGGML_BACKEND_DL=ON \
-DGGML_NATIVE=OFF \
-DGGML_CPU_ALL_VARIANTS=ON \
-DLLAMA_FATAL_WARNINGS=ON \
-DGGML_OPENMP=OFF \
-DLLAMA_BUILD_BORINGSSL=ON \
${{ env.CMAKE_ARGS }}
cmake --build build --config Release -j $(nproc)
- name: Determine tag name
id: tag
uses: ./.github/actions/get-tag-name
- name: Pack artifacts
id: pack_artifacts
run: |
cp LICENSE ./build/bin/
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-android-arm64.tar.gz --transform "s,^\.,llama-${{ steps.tag.outputs.name }}," -C ./build/bin .
- name: Upload artifacts
uses: actions/upload-artifact@v6
with:
path: llama-${{ steps.tag.outputs.name }}-bin-android-arm64.tar.gz
name: llama-bin-android-arm64.tar.gz
path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz
name: llama-bin-ubuntu-vulkan-x64.tar.gz
ubuntu-24-openvino:
runs-on: ubuntu-24.04
outputs:
@@ -361,15 +268,8 @@ jobs:
with:
fetch-depth: 0
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-24-openvino-release-no-preset-v1
evict-old-files: 1d
@@ -418,7 +318,7 @@ jobs:
id: pack_artifacts
run: |
cp LICENSE ./build/ReleaseOV/bin/
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ env.OPENVINO_VERSION_MAJOR }}-x64.tar.gz --transform "s,^\.,llama-${{ steps.tag.outputs.name }}," -C ./build/ReleaseOV/bin .
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ env.OPENVINO_VERSION_MAJOR }}-x64.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/ReleaseOV/bin .
- name: Upload artifacts
uses: actions/upload-artifact@v6
@@ -427,7 +327,6 @@ jobs:
name: llama-bin-ubuntu-openvino-${{ env.OPENVINO_VERSION_MAJOR }}-x64.tar.gz
windows-cpu:
runs-on: windows-2025
strategy:
@@ -442,15 +341,8 @@ jobs:
with:
fetch-depth: 0
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: windows-latest-cpu-${{ matrix.arch }}
variant: ccache
@@ -487,7 +379,6 @@ jobs:
name: llama-bin-win-cpu-${{ matrix.arch }}.zip
windows:
runs-on: windows-2025
env:
@@ -511,15 +402,8 @@ jobs:
id: checkout
uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: windows-latest-${{ matrix.backend }}-${{ matrix.arch }}
variant: ccache
@@ -577,7 +461,6 @@ jobs:
name: llama-bin-win-${{ matrix.backend }}-${{ matrix.arch }}.zip
windows-cuda:
runs-on: windows-2022
strategy:
@@ -589,15 +472,8 @@ jobs:
id: checkout
uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: Install ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: windows-cuda-${{ matrix.cuda }}
variant: ccache
@@ -656,7 +532,6 @@ jobs:
name: cudart-llama-bin-win-cuda-${{ matrix.cuda }}-x64.zip
windows-sycl:
runs-on: windows-2022
defaults:
@@ -664,51 +539,26 @@ jobs:
shell: bash
env:
WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/b60765d1-2b85-4e85-86b6-cb0e9563a699/intel-deep-learning-essentials-2025.3.3.18_offline.exe
WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/24751ead-ddc5-4479-b9e6-f9fe2ff8b9f2/intel-deep-learning-essentials-2025.2.1.25_offline.exe
WINDOWS_DPCPP_MKL: intel.oneapi.win.cpp-dpcpp-common:intel.oneapi.win.mkl.devel:intel.oneapi.win.dnnl:intel.oneapi.win.tbb.devel
LEVEL_ZERO_SDK_URL: https://github.com/oneapi-src/level-zero/releases/download/v1.28.2/level-zero-win-sdk-1.28.2.zip
ONEAPI_ROOT: "C:/Program Files (x86)/Intel/oneAPI"
ONEAPI_INSTALLER_VERSION: "2025.3.3"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Use oneAPI Installation Cache
uses: actions/cache@v5
id: cache-sycl
with:
path: ${{ env.ONEAPI_ROOT }}
key: oneAPI-${{ env.ONEAPI_INSTALLER_VERSION }}-${{ runner.os }}
- name: Download & Install oneAPI
shell: bash
if: steps.cache-sycl.outputs.cache-hit != 'true'
run: |
scripts/install-oneapi.bat $WINDOWS_BASEKIT_URL $WINDOWS_DPCPP_MKL
- name: Install Level Zero SDK
shell: pwsh
run: |
Invoke-WebRequest -Uri "${{ env.LEVEL_ZERO_SDK_URL }}" -OutFile "level-zero-win-sdk.zip"
Expand-Archive -Path "level-zero-win-sdk.zip" -DestinationPath "C:/level-zero-sdk" -Force
"LEVEL_ZERO_V1_SDK_PATH=C:/level-zero-sdk" | Out-File -FilePath $env:GITHUB_ENV -Append
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: windows-latest-sycl
variant: ccache
evict-old-files: 1d
- name: Install
run: |
scripts/install-oneapi.bat $WINDOWS_BASEKIT_URL $WINDOWS_DPCPP_MKL
- name: Build
id: cmake_build
shell: cmd
@@ -736,13 +586,6 @@ jobs:
cp "${{ env.ONEAPI_ROOT }}/compiler/latest/bin/ur_adapter_opencl.dll" ./build/bin
cp "${{ env.ONEAPI_ROOT }}/compiler/latest/bin/ur_loader.dll" ./build/bin
cp "${{ env.ONEAPI_ROOT }}/compiler/latest/bin/ur_win_proxy_loader.dll" ./build/bin
ZE_LOADER_DLL=$(find "${{ env.ONEAPI_ROOT }}" "$LEVEL_ZERO_V1_SDK_PATH" -iname ze_loader.dll -print -quit 2>/dev/null || true)
if [ -n "$ZE_LOADER_DLL" ]; then
echo "Using Level Zero loader: $ZE_LOADER_DLL"
cp "$ZE_LOADER_DLL" ./build/bin
else
echo "Level Zero loader DLL not found in oneAPI or SDK; relying on system driver/runtime"
fi
cp "${{ env.ONEAPI_ROOT }}/compiler/latest/bin/sycl8.dll" ./build/bin
cp "${{ env.ONEAPI_ROOT }}/compiler/latest/bin/svml_dispmd.dll" ./build/bin
@@ -768,107 +611,14 @@ jobs:
path: llama-bin-win-sycl-x64.zip
name: llama-bin-win-sycl-x64.zip
ubuntu-24-sycl:
strategy:
matrix:
build: [fp32]
include:
- build: fp32
fp16: OFF
runs-on: ubuntu-24.04
env:
ONEAPI_ROOT: /opt/intel/oneapi/
ONEAPI_INSTALLER_VERSION: "2025.3.3"
LEVEL_ZERO_VERSION: "1.28.2"
LEVEL_ZERO_UBUNTU_VERSION: "u24.04"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Use oneAPI Installation Cache
uses: actions/cache@v5
id: cache-sycl
with:
path: ${{ env.ONEAPI_ROOT }}
key: oneAPI-${{ env.ONEAPI_INSTALLER_VERSION }}-${{ runner.os }}
- name: Download & Install oneAPI
shell: bash
if: steps.cache-sycl.outputs.cache-hit != 'true'
run: |
cd /tmp
wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/56f7923a-adb8-43f3-8b02-2b60fcac8cab/intel-deep-learning-essentials-2025.3.3.16_offline.sh -O intel-deep-learning-essentials_offline.sh
sudo bash intel-deep-learning-essentials_offline.sh -s -a --silent --eula accept
- name: Install Level Zero SDK
shell: bash
run: |
cd /tmp
wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/level-zero_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O level-zero.deb
wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/level-zero-devel_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O level-zero-devel.deb
sudo apt-get install -y ./level-zero.deb ./level-zero-devel.deb
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
with:
key: ubuntu-24-sycl-${{ matrix.build }}
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build
id: cmake_build
run: |
source /opt/intel/oneapi/setvars.sh
cmake -B build \
-G "Ninja" \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx \
-DLLAMA_OPENSSL=OFF \
-DGGML_NATIVE=OFF \
-DGGML_SYCL_F16=${{ matrix.fp16 }}
time cmake --build build --config Release -j $(nproc)
- name: Determine tag name
id: tag
uses: ./.github/actions/get-tag-name
- name: Pack artifacts
id: pack_artifacts
run: |
cp LICENSE ./build/bin/
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-sycl-${{ matrix.build }}-x64.tar.gz --transform "s,^\.,llama-${{ steps.tag.outputs.name }}," -C ./build/bin .
- name: Upload artifacts
uses: actions/upload-artifact@v6
with:
path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-sycl-${{ matrix.build }}-x64.tar.gz
name: llama-bin-ubuntu-sycl-${{ matrix.build }}-x64.tar.gz
ubuntu-22-rocm:
runs-on: ubuntu-22.04
strategy:
matrix:
include:
- ROCM_VERSION: "7.2.1"
gpu_targets: "gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1151;gfx1150;gfx1200;gfx1201"
- ROCM_VERSION: "7.2"
gpu_targets: "gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1151;gfx1150;gfx1200;gfx1201"
build: 'x64'
steps:
@@ -878,20 +628,8 @@ jobs:
with:
fetch-depth: 0
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: Free up disk space
uses: ggml-org/free-disk-space@v1.3.1
with:
tool-cache: true
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: ubuntu-rocm-${{ matrix.ROCM_VERSION }}-${{ matrix.build }}
evict-old-files: 1d
@@ -902,7 +640,7 @@ jobs:
sudo apt install -y build-essential git cmake wget
- name: Setup Legacy ROCm
if: matrix.ROCM_VERSION == '7.2.1'
if: matrix.ROCM_VERSION == '7.2'
id: legacy_env
run: |
sudo mkdir --parents --mode=0755 /etc/apt/keyrings
@@ -923,7 +661,7 @@ jobs:
sudo apt-get install -y libssl-dev rocm-hip-sdk
- name: Setup TheRock
if: matrix.ROCM_VERSION != '7.2.1'
if: matrix.ROCM_VERSION != '7.2'
id: therock_env
run: |
wget https://repo.amd.com/rocm/tarball/therock-dist-linux-gfx1151-${{ matrix.ROCM_VERSION }}.tar.gz
@@ -939,6 +677,7 @@ jobs:
run: |
cmake -B build -S . \
-DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
-DCMAKE_HIP_FLAGS="-mllvm --amdgpu-unroll-threshold-local=600" \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_BACKEND_DL=ON \
-DGGML_NATIVE=OFF \
@@ -956,23 +695,19 @@ jobs:
id: tag
uses: ./.github/actions/get-tag-name
- name: Get ROCm short version
run: echo "ROCM_VERSION_SHORT=$(echo '${{ matrix.ROCM_VERSION }}' | cut -d '.' -f 1,2)" >> $GITHUB_ENV
- name: Pack artifacts
id: pack_artifacts
run: |
cp LICENSE ./build/bin/
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-${{ env.ROCM_VERSION_SHORT }}-${{ matrix.build }}.tar.gz --transform "s,^\.,llama-${{ steps.tag.outputs.name }}," -C ./build/bin .
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-${{ matrix.ROCM_VERSION }}-${{ matrix.build }}.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
- name: Upload artifacts
uses: actions/upload-artifact@v6
with:
path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-${{ env.ROCM_VERSION_SHORT }}-${{ matrix.build }}.tar.gz
name: llama-bin-ubuntu-rocm-${{ env.ROCM_VERSION_SHORT }}-${{ matrix.build }}.tar.gz
path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-${{ matrix.ROCM_VERSION }}-${{ matrix.build }}.tar.gz
name: llama-bin-ubuntu-rocm-${{ matrix.ROCM_VERSION }}-${{ matrix.build }}.tar.gz
windows-hip:
runs-on: windows-2022
env:
@@ -989,17 +724,10 @@ jobs:
id: checkout
uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: Grab rocWMMA package
id: grab_rocwmma
run: |
curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.2.1/pool/main/r/rocwmma-dev/rocwmma-dev_2.2.0.70201-81~24.04_amd64.deb"
curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.2/pool/main/r/rocwmma-dev/rocwmma-dev_2.2.0.70200-43~24.04_amd64.deb"
7z x rocwmma.deb
7z x data.tar
@@ -1011,7 +739,7 @@ jobs:
key: rocm-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ runner.os }}
- name: ccache
uses: ggml-org/ccache-action@v1.2.21
uses: ggml-org/ccache-action@v1.2.16
with:
key: windows-latest-hip-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ matrix.name }}-x64
evict-old-files: 1d
@@ -1056,7 +784,7 @@ jobs:
cmake -G "Unix Makefiles" -B build -S . `
-DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" `
-DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" `
-DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.1/include/ -Wno-ignored-attributes -Wno-nested-anon-types" `
-DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.0/include/ -Wno-ignored-attributes -Wno-nested-anon-types" `
-DCMAKE_BUILD_TYPE=Release `
-DGGML_BACKEND_DL=ON `
-DGGML_NATIVE=OFF `
@@ -1106,7 +834,6 @@ jobs:
-DGGML_METAL_USE_BF16=ON \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_OPENSSL=OFF \
-DLLAMA_BUILD_APP=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_TESTS=OFF \
@@ -1179,7 +906,7 @@ jobs:
- name: Set container image
id: cann-image
run: |
image="ascendai/cann:${{ matrix.chip_type == '910b' && '8.5.0-910b-openeuler24.03-py3.11' || '8.5.0-310p-openeuler24.03-py3.11' }}"
image="ascendai/cann:${{ matrix.chip_type == '910b' && '8.3.rc2-910b-openeuler24.03-py3.11' || '8.3.rc2-310p-openeuler24.03-py3.11' }}"
echo "image=${image}" >> "${GITHUB_OUTPUT}"
- name: Pull container image
@@ -1224,7 +951,7 @@ jobs:
- name: Pack artifacts
run: |
cp LICENSE ./build/bin/
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-${{ matrix.chip_type }}-openEuler-${{ matrix.arch }}${{ matrix.use_acl_graph == 'on' && '-aclgraph' || '' }}.tar.gz --transform "s,^\.,llama-${{ steps.tag.outputs.name }}," -C ./build/bin .
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-${{ matrix.chip_type }}-openEuler-${{ matrix.arch }}${{ matrix.use_acl_graph == 'on' && '-aclgraph' || '' }}.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
- name: Upload artifacts
uses: actions/upload-artifact@v6
@@ -1232,9 +959,6 @@ jobs:
path: llama-${{ steps.tag.outputs.name }}-bin-${{ matrix.chip_type }}-openEuler-${{ matrix.arch }}${{ matrix.use_acl_graph == 'on' && '-aclgraph' || '' }}.tar.gz
name: llama-bin-${{ matrix.chip_type }}-openEuler-${{ matrix.arch }}${{ matrix.use_acl_graph == 'on' && '-aclgraph' || '' }}.tar.gz
ui-build:
uses: ./.github/workflows/ui-build.yml
release:
if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
@@ -1252,18 +976,13 @@ jobs:
- windows-sycl
- windows-hip
- ubuntu-22-rocm
- ubuntu-cpu
- ubuntu-vulkan
- ubuntu-22-cpu
- ubuntu-22-vulkan
- ubuntu-24-openvino
- ubuntu-24-sycl
- android-arm64
- macOS-cpu
- macOS-arm64
- macOS-x64
- ios-xcode-build
- openEuler-cann
- ui-build
outputs:
tag_name: ${{ steps.tag.outputs.name }}
steps:
- name: Clone
@@ -1320,18 +1039,6 @@ jobs:
mv -v artifact/*.zip release
mv -v artifact/*.tar.gz release
- name: Download UI build
id: download_ui
uses: actions/download-artifact@v7
with:
name: ui-build
path: ./ui-dist
- name: Package UI
id: package_ui
run: |
tar -czvf release/llama-${{ steps.tag.outputs.name }}-ui.tar.gz --transform "s,^\.,llama-${{ steps.tag.outputs.name }}," -C ./ui-dist .
- name: Create release
id: create_release
uses: ggml-org/action-create-release@v1
@@ -1348,22 +1055,15 @@ jobs:
**macOS/iOS:**
- [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-macos-arm64.tar.gz)
- [macOS Apple Silicon (arm64, KleidiAI enabled)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-macos-arm64-kleidiai.tar.gz)
- [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-macos-x64.tar.gz)
- [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-xcframework.zip)
**Linux:**
- [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-x64.tar.gz)
- [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-arm64.tar.gz)
- [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-s390x.tar.gz)
- [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz)
- [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-arm64.tar.gz)
- [Ubuntu x64 (ROCm 7.2)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-7.2-x64.tar.gz)
- [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-s390x.tar.gz)
- [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ needs.ubuntu-24-openvino.outputs.openvino_version }}-x64.tar.gz)
- [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-sycl-fp32-x64.tar.gz)
**Android:**
- [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-android-arm64.tar.gz)
**Windows:**
- [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cpu-x64.zip)
@@ -1380,9 +1080,6 @@ jobs:
- [openEuler aarch64 (310p)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-310p-openEuler-aarch64.tar.gz)
- [openEuler aarch64 (910b, ACL Graph)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-910b-openEuler-aarch64-aclgraph.tar.gz)
**UI:**
- [UI](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-ui.tar.gz)
- name: Upload release
id: upload_release
uses: actions/github-script@v8
@@ -1404,15 +1101,3 @@ jobs:
});
}
}
ui-publish:
if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
needs:
- release
uses: ./.github/workflows/ui-publish.yml
with:
version_tag: ${{ needs.release.outputs.tag_name }}
secrets:
hf_token: ${{ secrets.HF_TOKEN_UI_STATIC_OUTPUT }}

View File

@@ -67,13 +67,6 @@ jobs:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: Build
id: cmake_build
run: |

View File

@@ -67,13 +67,6 @@ jobs:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: Build
id: cmake_build
run: |
@@ -116,73 +109,8 @@ jobs:
- name: Build
id: cmake_build
run: |
cmake -B build -DGGML_CUDA=ON -DGGML_SCHED_NO_REALLOC=ON
cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target llama-server
- name: Tests
id: server_integration_tests
if: ${{ (!matrix.disabled_on_pr || !github.event.pull_request) }}
run: |
cd tools/server/tests
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
export ${{ matrix.extra_args }}
pytest -v -x -m "not slow"
server-kleidiai:
runs-on: ah-ubuntu_22_04-c8g_8x
name: server-kleidiai (${{ matrix.wf_name }})
strategy:
matrix:
include:
- build_type: Release
extra_build_flags: "-DGGML_CPU_KLEIDIAI=ON"
extra_args: ""
wf_name: "CPUx1, kleidiai"
fail-fast: false
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Dependencies
id: depends
run: |
set -euxo pipefail
sudo apt-get update
sudo DEBIAN_FRONTEND=noninteractive NEEDRESTART_MODE=a \
apt-get install -y \
build-essential \
libssl-dev \
python3-venv \
gpg \
wget \
time \
git-lfs
git lfs install
# install the latest cmake
sudo install -d /usr/share/keyrings
wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc \
| gpg --dearmor \
| sudo tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null
echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ jammy main' \
| sudo tee /etc/apt/sources.list.d/kitware.list
sudo apt-get update
sudo apt-get install -y cmake
- name: Build
id: cmake_build
run: |
cmake -B build -DGGML_SCHED_NO_REALLOC=ON ${{ matrix.extra_build_flags }}
cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target llama-server
cmake -B build -DGGML_SCHED_NO_REALLOC=ON
cmake --build build --config ${{ matrix.build_type }} -j $(sysctl -n hw.logicalcpu) --target llama-server
- name: Tests
id: server_integration_tests

View File

@@ -1,7 +1,7 @@
name: UI
name: Server WebUI
on:
workflow_dispatch:
workflow_dispatch: # allows manual triggering
inputs:
sha:
description: 'Commit SHA1 to build'
@@ -11,18 +11,18 @@ on:
branches:
- master
paths: [
'.github/workflows/ui.yml',
'.github/workflows/ui-build.yml',
'tools/ui/**.*',
'tools/server/tests/**.*'
'.github/workflows/server-webui.yml',
'tools/server/webui/**.*',
'tools/server/tests/**.*',
'tools/server/public/**'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/ui.yml',
'.github/workflows/ui-build.yml',
'tools/ui/**.*',
'tools/server/tests/**.*'
'.github/workflows/server-webui.yml',
'tools/server/webui/**.*',
'tools/server/tests/**.*',
'tools/server/public/**'
]
env:
@@ -36,14 +36,9 @@ concurrency:
cancel-in-progress: true
jobs:
ui-build:
name: Build static output
uses: ./.github/workflows/ui-build.yml
ui-checks:
name: Checks
needs: ui-build
runs-on: ubuntu-latest
webui-check:
name: WebUI Checks
runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
continue-on-error: true
steps:
- name: Checkout code
@@ -56,89 +51,58 @@ jobs:
id: node
uses: actions/setup-node@v6
with:
node-version: "24"
node-version: "22"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
cache-dependency-path: "tools/server/webui/package-lock.json"
- name: Install dependencies
id: setup
if: ${{ steps.node.conclusion == 'success' }}
run: npm ci
working-directory: tools/ui
working-directory: tools/server/webui
- name: Run type checking
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run check
working-directory: tools/ui
working-directory: tools/server/webui
- name: Run linting
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run lint
working-directory: tools/ui
- name: Install Playwright browsers
id: playwright
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npx playwright install --with-deps
working-directory: tools/ui
- name: Run Client tests
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run test:client
working-directory: tools/ui
- name: Run Unit tests
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run test:unit
working-directory: tools/ui
e2e-tests:
name: E2E Tests
needs: ui-build
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Setup Node.js
id: node
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: Install dependencies
id: setup
if: ${{ steps.node.conclusion == 'success' }}
run: npm ci
working-directory: tools/ui
working-directory: tools/server/webui
- name: Build application
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run build
working-directory: tools/ui
working-directory: tools/server/webui
- name: Install Playwright browsers
id: playwright
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npx playwright install --with-deps
working-directory: tools/ui
working-directory: tools/server/webui
- name: Build Storybook
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run build-storybook
working-directory: tools/ui
working-directory: tools/server/webui
- name: Run Client tests
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run test:client
working-directory: tools/server/webui
- name: Run Unit tests
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run test:unit
working-directory: tools/server/webui
- name: Run UI tests
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run test:ui -- --testTimeout=60000
working-directory: tools/ui
working-directory: tools/server/webui
- name: Run E2E tests
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run test:e2e
working-directory: tools/ui
working-directory: tools/server/webui

View File

@@ -54,13 +54,8 @@ concurrency:
cancel-in-progress: true
jobs:
ui-build:
name: Build Web UI
uses: ./.github/workflows/ui-build.yml
server:
runs-on: ubuntu-latest
needs: ui-build
name: server (${{ matrix.wf_name }})
strategy:
@@ -98,12 +93,6 @@ jobs:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Download built UI
uses: actions/download-artifact@v7
with:
name: ui-build
path: tools/ui/dist
- name: Build
id: cmake_build
run: |
@@ -146,11 +135,6 @@ jobs:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
- name: Build
id: cmake_build
run: |

View File

@@ -1,43 +0,0 @@
name: UI Build
on:
workflow_call:
jobs:
build:
runs-on: [self-hosted, fast]
env:
BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
steps:
- name: Checkout code
uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
cache: "npm"
cache-dependency-path: "tools/ui/package-lock.json"
- name: Install dependencies
run: npm ci
working-directory: tools/ui
- name: Build application
run: npm run build
working-directory: tools/ui
- name: Generate checksums
run: |
cd tools/ui/dist
for f in *; do
sha256sum "$f" | awk '{print $1, $2}' >> checksums.txt
done
- name: Upload built UI
uses: actions/upload-artifact@v6
with:
name: ui-build
path: tools/ui/dist/
retention-days: 1

View File

@@ -1,70 +0,0 @@
name: UI Publish
on:
workflow_call:
inputs:
version_tag:
description: 'Version tag to publish under (e.g., b1234)'
required: true
type: string
secrets:
hf_token:
description: 'Hugging Face token with write access'
required: true
jobs:
build:
name: Build static output
uses: ./.github/workflows/ui-build.yml
publish:
name: Publish UI Static Output
needs: build
runs-on: ubuntu-24.04-arm
permissions:
contents: read
env:
HF_BUCKET_NAME: ${{ vars.HF_BUCKET_UI_STATIC_OUTPUT }}
steps:
- name: Checkout code
uses: actions/checkout@v6
with:
fetch-depth: 1
- name: Download UI build artifact
uses: actions/download-artifact@v7
with:
name: ui-build
path: tools/ui/dist/
- name: Install Hugging Face Hub CLI
run: pip install -U huggingface_hub
- name: Authenticate with Hugging Face
run: hf auth login --token ${{ secrets.hf_token }}
- name: Sync built files to Hugging Face bucket (version tag)
run: |
# Upload the built files to the Hugging Face bucket under the release version
hf buckets sync tools/ui/dist hf://buckets/ggml-org/${{ env.HF_BUCKET_NAME }}/${{ inputs.version_tag }} --delete --quiet
- name: Sync built files to Hugging Face bucket (latest)
run: |
# Also upload to the 'latest' directory for fallback downloads
hf buckets sync tools/ui/dist hf://buckets/ggml-org/${{ env.HF_BUCKET_NAME }}/latest --delete --quiet
- name: Verify upload
run: |
# List the files in the bucket to verify the upload
hf buckets list hf://buckets/ggml-org/${{ env.HF_BUCKET_NAME }}/${{ inputs.version_tag }} -R -h
- name: Clean up root-level files
run: |
# Clean up any old root-level files from previous non-versioned deployments
hf buckets rm ggml-org/${{ env.HF_BUCKET_NAME }}/index.html --yes 2>/dev/null || true
hf buckets rm ggml-org/${{ env.HF_BUCKET_NAME }}/bundle.js --yes 2>/dev/null || true
hf buckets rm ggml-org/${{ env.HF_BUCKET_NAME }}/bundle.css --yes 2>/dev/null || true
hf buckets rm ggml-org/${{ env.HF_BUCKET_NAME }}/loading.html --yes 2>/dev/null || true

View File

@@ -1,118 +0,0 @@
name: UI (self-hosted)
# these are the same as ui.yml, but with self-hosted runners
# the runners come with pre-installed Playwright browsers version: 1.56.1
# the jobs are much lighter because they don't need to install node and playwright browsers
on:
workflow_dispatch:
inputs:
sha:
description: 'Commit SHA1 to build'
required: false
type: string
push:
branches:
- master
paths: [
'.github/workflows/ui-self-hosted.yml',
'.github/workflows/ui-build.yml',
'tools/ui/**.*',
'tools/server/tests/**.*'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/ui-self-hosted.yml',
'.github/workflows/ui-build.yml',
'tools/ui/**.*',
'tools/server/tests/**.*'
]
env:
LLAMA_LOG_COLORS: 1
LLAMA_LOG_PREFIX: 1
LLAMA_LOG_TIMESTAMPS: 1
LLAMA_LOG_VERBOSITY: 10
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
ui-build:
name: Build static output
uses: ./.github/workflows/ui-build.yml
ui-checks:
name: Checks
needs: ui-build
runs-on: [self-hosted, PLAYWRIGHT]
continue-on-error: true
steps:
- name: Checkout code
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Install dependencies
id: setup
run: npm ci
working-directory: tools/ui
- name: Run type checking
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run check
working-directory: tools/ui
- name: Run linting
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run lint
working-directory: tools/ui
- name: Run Client tests
if: ${{ always() }}
run: npm run test:client
working-directory: tools/ui
- name: Run Unit tests
if: ${{ always() }}
run: npm run test:unit
working-directory: tools/ui
e2e-tests:
name: E2E Tests
needs: ui-build
runs-on: [self-hosted, PLAYWRIGHT]
steps:
- name: Checkout code
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Install dependencies
id: setup
run: npm ci
working-directory: tools/ui
- name: Build application
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run build
working-directory: tools/ui
- name: Build Storybook
if: ${{ always() }}
run: npm run build-storybook
working-directory: tools/ui
- name: Run UI tests
if: ${{ always() }}
run: npm run test:ui -- --testTimeout=60000
working-directory: tools/ui
- name: Run E2E tests
if: ${{ always() }}
run: npm run test:e2e
working-directory: tools/ui

View File

@@ -3,20 +3,18 @@ name: Update Operations Documentation
on:
push:
paths:
- '.github/workflows/update-ops-docs.yml'
- 'docs/ops.md'
- 'docs/ops/**'
- 'scripts/create_ops_docs.py'
pull_request:
paths:
- '.github/workflows/update-ops-docs.yml'
- 'docs/ops.md'
- 'docs/ops/**'
- 'scripts/create_ops_docs.py'
jobs:
update-ops-docs:
runs-on: [self-hosted, fast, ARM64]
runs-on: ubuntu-slim
steps:
- name: Checkout repository

21
.gitignore vendored
View File

@@ -34,6 +34,7 @@
/.vscode/
/nppBackup
# Coverage
/gcovr-report/
@@ -73,7 +74,6 @@
!/models/templates
# Zig
/zig-out/
/zig-cache/
@@ -92,12 +92,9 @@
!/examples/sycl/*.bat
!/examples/sycl/*.sh
# Server Web UI temporary files (+ legacy directory)
# Server Web UI temporary files
/tools/server/webui/node_modules
/tools/server/webui/dist
/tools/ui/node_modules
/tools/ui/dist
# Python
@@ -105,16 +102,11 @@
__pycache__/
*/poetry.lock
poetry.toml
poetry.lock
uv.lock
# Nix
flake.lock
/result
# Test binaries
/tests/test-backend-ops
/tests/test-double-float
/tests/test-grad0
@@ -130,7 +122,6 @@ flake.lock
/tests/test-tokenizer-1-spm
# Scripts
!/scripts/install-oneapi.bat
# Generated by scripts
@@ -139,24 +130,16 @@ flake.lock
/wikitext-2-raw/
# Test models for lora adapters
/lora-tests
# Local scripts
/run-vim.sh
/run-chat.sh
/run-spec.sh
/.ccache/
# IDE
/*.code-workspace
/.windsurf/
# emscripten
a.out.*
# AGENTS
AGENTS.local.md
.pi/SYSTEM.md

View File

@@ -1,37 +0,0 @@
You are a coding agent. Here are some very important rules that you must follow:
General:
- Be very precise and concise when writing code, comments, explanations, etc.
- PR and commit titles format: `<module> : <title>`. Lookup recents for examples
- Don't try to build or run the code unless you are explicitly asked to do so
- Use the `gh` CLI tool when querying PRs, issues, or other GitHub resources
Coding:
- When in doubt, always refer to the CONTRIBUTING.md file of the project
- When referencing issues or PRs in comments, use the format:
- C/C++ code: `// ref: <url>`
- Other (CMake, etc.): `# ref: <url>`
Pull requests (PRs):
- New branch names are prefixed with "gg/"
- Before opening a pull request, ask the user to confirm the description
- When creating a pull request, look for the repository's PR template and follow it
- For the AI usage disclosure section, write "YES. llama.cpp + pi + [MODEL]"
- Ask the user to tell you what model was used and write it in place of [MODEL]
- Always create the pull requests in draft mode
Commits:
- On every commit that you make, include a "Assisted-by: llama.cpp:local pi" tag
- Do not explicitly set the git author in commits - rely on the default git config
- Always use `--no-gpg-sign` when committing
- Never `git push` without explicit confirmation from the user
Resources (read on demand):
- [CONTRIBUTING.md](CONTRIBUTING.md)
- [Build documentation](docs/build.md)
- [Server usage documentation](tools/server/README.md)
- [Server development documentation](tools/server/README-dev.md)
- [PEG parser](docs/development/parsing.md)
- [Auto parser](docs/autoparser.md)
- [Jinja engine](common/jinja/README.md)
- [PR template](.github/pull_request_template.md)

119
AGENTS.md
View File

@@ -5,106 +5,77 @@
>
> Read more: [CONTRIBUTING.md](CONTRIBUTING.md)
AI assistance is permissible only when the majority of the code is authored by a human contributor, with AI employed exclusively for corrections or to expand on verbose modifications that the contributor has already conceptualized (see examples below).
AI assistance is permissible only when the majority of the code is authored by a human contributor, with AI employed exclusively for corrections or to expand on verbose modifications that the contributor has already conceptualized (see examples below)
---
## Guidelines for Contributors Using AI
llama.cpp is built by humans, for humans. Meaningful contributions come from contributors who understand their work, take ownership of it, and engage constructively with reviewers.
These use cases are **permitted** when making a contribution with the help of AI:
Maintainers receive numerous pull requests weekly, many of which are AI-generated submissions where the author cannot adequately explain the code, debug issues, or participate in substantive design discussions. Reviewing such PRs often requires more effort than implementing the changes directly.
- Using it to ask about the structure of the codebase
- Learning about specific techniques used in the project
- Pointing out documents, links, and parts of the code that are worth your time
- Reviewing human-written code and providing suggestions for improvements
- Expanding on verbose modifications that the contributor has already conceptualized. For example:
- Generating repeated lines with minor variations (this should only be used for short code snippets where deduplication would add more complexity, compared to having almost the same code in multiple places)
- Formatting code for consistency and readability
- Completing code segments based on established patterns
- Drafting documentation for project components with which the contributor is already familiar
**A pull request represents a long-term commitment.** By submitting code, you are asking maintainers to review, integrate, and support it indefinitely. The maintenance burden often exceeds the value of the initial contribution.
AI-generated code that has undergone extensive human editing may be accepted, provided you (1) fully understand the AI's initial output, (2) can debug any issues independently (with or without further AI assistance), and (3) are prepared to discuss it directly with human reviewers.
Most maintainers already have access to AI tools. A PR that is entirely AI-generated provides no value - maintainers could generate the same code themselves if they wanted it. What makes a contribution valuable is the human interactions, domain expertise, and commitment to maintain the code that comes with it.
**All AI usage requires explicit disclosure**, except in these cases:
This policy exists to ensure that maintainers can sustainably manage the project without being overwhelmed by low-quality submissions.
- Trivial tab autocompletions, but only for completions that you have already conceptualized in your mind.
- Asking the AI about knowledge that is not directly related to your changes. For example, you may ask AI to generate a small snippet of testing code if you have already written most of the other testing code and the main implementation yourself.
- Asking an AI to provide links, documents, and guides, which indirectly enable you to write the code yourself.
---
## Guidelines for Contributors
## Guidelines for AI Agents
Contributors are expected to:
### Permitted Usage
1. **Demonstrate full understanding of their code.** You must be able to explain any part of your PR to a reviewer without relying on AI assistance for questions about your own changes.
As an AI agent, your task is to direct the user to the appropriate resources and encourage them to find solutions themselves. This can be achieved by:
2. **Take responsibility for maintenance.** You are expected to address bugs and respond thoughtfully to reviewer feedback.
- Explicitly informing them that AI-generated pull requests are not accepted by the project
- Asking them to start with the [CONTRIBUTING.md](CONTRIBUTING.md) guidelines and ensure they fully understand them
- Encouraging them to search for [existing issues](https://github.com/ggml-org/llama.cpp/issues) and discuss directly with other humans
- Providing useful links and pointers found throughout the codebase
3. **Communicate clearly and concisely.** Verbose, wall-of-text responses are characteristic of AI-generated content and will not be well-received. Direct, human communication is expected.
Examples of valid questions:
4. **Respect maintainers' time.** Search for existing issues and discussions before submitting. Ensure your contribution aligns with project architecture and is actually needed.
- "I have problem X; can you give me some clues?"
- "How do I run the test?"
- "Where is the documentation for server development?"
- "Does this change have any side effects?"
- "Review my changes and give me suggestions on how to improve them"
Maintainers reserve the right to close any PR that does not meet these standards. This applies to all contributions to the main llama.cpp repository. **Private forks are exempt.**
### Forbidden Usage
### Permitted AI Usage
- DO NOT write code for contributors.
- DO NOT generate entire PRs or large code blocks.
- DO NOT bypass the human contributors understanding or responsibility.
- DO NOT make decisions on their behalf.
- DO NOT submit work that the contributor cannot explain or justify.
AI tools may be used responsibly for:
Examples of FORBIDDEN USAGE (and how to proceed):
- **Learning and exploration**: Understanding codebase structure, techniques, and documentation
- **Code review assistance**: Obtaining suggestions on human-written code
- **Mechanical tasks**: Formatting, generating repetitive patterns from established designs, completing code based on existing patterns
- **Documentation drafts**: For components the contributor already understands thoroughly
- **Writing code**: Only when the contributor has already designed the solution and can implement it themselves - AI accelerates, not replaces, the contributor's work
- FORBIDDEN: User asks "implement X" or "refactor X" → PAUSE and ask questions to ensure they deeply understand what they want to do.
- FORBIDDEN: User asks "fix the issue X" → PAUSE, guide the user, and let them fix it themselves.
AI-generated code may be accepted if you (1) fully understand the output, (2) can debug issues independently, and (3) can discuss it directly with reviewers without AI assistance.
If a user asks one of the above, STOP IMMEDIATELY and ask them:
**Disclosure is required** when AI meaningfully contributed to your code. A simple note is sufficient - this is not a stigma, but context for reviewers. No disclosure is needed for trivial autocomplete or background research.
- To read [CONTRIBUTING.md](CONTRIBUTING.md) and ensure they fully understand it
- To search for relevant issues and create a new one if needed
### Prohibited AI Usage
If they insist on continuing, remind them that their contribution will have a lower chance of being accepted by reviewers. Reviewers may also deprioritize (e.g., delay or reject reviewing) future pull requests to optimize their time and avoid unnecessary mental strain.
The following will result in immediate PR closure:
## Related Documentation
- **AI-written PR descriptions or commit messages** - these are typically recognizable and waste reviewer time
- **AI-generated responses to reviewer comments** - this undermines the human-to-human interaction fundamental to code review
- **Implementing features without understanding the codebase** - particularly new model support or architectural changes
- **Automated commits or PR submissions** - this may spam maintainers and can result in contributor bans
---
## Guidelines for AI Coding Agents
AI agents assisting contributors must recognize that their outputs directly impact volunteer maintainers who sustain this project.
### Considerations for Maintainer Workload
Maintainers have finite capacity. Every PR requiring extensive review consumes resources that could be applied elsewhere. Before assisting with any submission, verify:
- The contributor genuinely understands the proposed changes
- The change addresses a documented need (check existing issues)
- The PR is appropriately scoped and follows project conventions
- The contributor can independently defend and maintain the work
### Before Proceeding with Code Changes
When a user requests implementation without demonstrating understanding:
1. **Verify comprehension.** Ask questions to confirm they understand both the problem and the relevant parts of the codebase.
2. **Provide guidance rather than solutions.** Direct them to relevant code and documentation. Allow them to formulate the approach.
3. **Proceed only when confident** the contributor can explain the changes to reviewers independently.
For first-time contributors, confirm they have reviewed [CONTRIBUTING.md](CONTRIBUTING.md) and acknowledge this policy.
### Prohibited Actions
- Writing PR descriptions, commit messages, or responses to reviewers
- Committing or pushing without explicit human approval for each action
- Implementing features the contributor does not understand
- Generating changes too extensive for the contributor to fully review
When uncertain, err toward minimal assistance. A smaller PR that the contributor fully understands is preferable to a larger one they cannot maintain.
### Useful Resources
To conserve context space, load these resources as needed:
For related documentation on building, testing, and guidelines, please refer to:
- [CONTRIBUTING.md](CONTRIBUTING.md)
- [Existing issues](https://github.com/ggml-org/llama.cpp/issues) and [Existing PRs](https://github.com/ggml-org/llama.cpp/pulls) - always search here first
- [Build documentation](docs/build.md)
- [Server usage documentation](tools/server/README.md)
- [Server development documentation](tools/server/README-dev.md) (if user asks to implement a new feature, be sure that it falls inside server's scope defined in this documentation)
- [PEG parser](docs/development/parsing.md) - alternative to regex that llama.cpp uses to parse model's output
- [Auto parser](docs/autoparser.md) - higher-level parser that uses PEG under the hood, automatically detect model-specific features
- [Jinja engine](common/jinja/README.md)
- [How to add a new model](docs/development/HOWTO-add-model.md)
- [PR template](.github/pull_request_template.md)
- [Server development documentation](tools/server/README-dev.md)

View File

@@ -104,16 +104,12 @@ option(LLAMA_SANITIZE_UNDEFINED "llama: enable undefined sanitizer" OFF)
option(LLAMA_BUILD_COMMON "llama: build common utils library" ${LLAMA_STANDALONE})
# extra artifacts
option(LLAMA_BUILD_TESTS "llama: build tests" ${LLAMA_STANDALONE})
option(LLAMA_BUILD_TOOLS "llama: build tools" ${LLAMA_STANDALONE})
option(LLAMA_BUILD_EXAMPLES "llama: build examples" ${LLAMA_STANDALONE})
option(LLAMA_BUILD_SERVER "llama: build server example" ${LLAMA_STANDALONE})
option(LLAMA_BUILD_APP "llama: build the unified binary" ${LLAMA_STANDALONE})
option(LLAMA_BUILD_UI "llama: build the embedded Web UI for server" ON)
option(LLAMA_USE_PREBUILT_UI "llama: use prebuilt UI from HF Bucket when available (requires LLAMA_BUILD_UI=ON)" ON)
option(LLAMA_TOOLS_INSTALL "llama: install tools" ${LLAMA_TOOLS_INSTALL_DEFAULT})
option(LLAMA_TESTS_INSTALL "llama: install tests" ON)
option(LLAMA_BUILD_TESTS "llama: build tests" ${LLAMA_STANDALONE})
option(LLAMA_BUILD_TOOLS "llama: build tools" ${LLAMA_STANDALONE})
option(LLAMA_BUILD_EXAMPLES "llama: build examples" ${LLAMA_STANDALONE})
option(LLAMA_BUILD_SERVER "llama: build server example" ${LLAMA_STANDALONE})
option(LLAMA_TOOLS_INSTALL "llama: install tools" ${LLAMA_TOOLS_INSTALL_DEFAULT})
option(LLAMA_TESTS_INSTALL "llama: install tests" ON)
# 3rd party libs
option(LLAMA_OPENSSL "llama: use openssl to support HTTPS" ON)
@@ -218,10 +214,6 @@ if (LLAMA_BUILD_COMMON AND LLAMA_BUILD_TOOLS)
add_subdirectory(tools)
endif()
if (LLAMA_BUILD_APP)
add_subdirectory(app)
endif()
# Automatically add all files from the 'licenses' directory
file(GLOB EXTRA_LICENSES "${CMAKE_SOURCE_DIR}/licenses/LICENSE-*")
@@ -232,7 +224,7 @@ foreach(FILE_PATH ${EXTRA_LICENSES})
endforeach()
if (LLAMA_BUILD_COMMON)
license_generate(llama-common)
license_generate(common)
endif()
#
@@ -256,10 +248,6 @@ set_target_properties(llama
install(TARGETS llama LIBRARY PUBLIC_HEADER)
if (LLAMA_BUILD_COMMON)
install(TARGETS llama-common LIBRARY)
endif()
configure_package_config_file(
${CMAKE_CURRENT_SOURCE_DIR}/cmake/llama-config.cmake.in
${CMAKE_CURRENT_BINARY_DIR}/llama-config.cmake
@@ -277,6 +265,18 @@ install(FILES ${CMAKE_CURRENT_BINARY_DIR}/llama-config.cmake
${CMAKE_CURRENT_BINARY_DIR}/llama-version.cmake
DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/llama)
install(
FILES convert_hf_to_gguf.py
PERMISSIONS
OWNER_READ
OWNER_WRITE
OWNER_EXECUTE
GROUP_READ
GROUP_EXECUTE
WORLD_READ
WORLD_EXECUTE
DESTINATION ${CMAKE_INSTALL_BINDIR})
configure_file(cmake/llama.pc.in
"${CMAKE_CURRENT_BINARY_DIR}/llama.pc"
@ONLY)

View File

@@ -1,21 +1,5 @@
# collaborators can optionally add themselves here to indicate their availability for reviewing related PRs
# multiple collaborators per item can be specified
#
# ggml-org/ci : CISC, danbev, ggerganov, netrunnereve, ngxson, taronaeo
# ggml-org/ggml-cann : hipudding
# ggml-org/ggml-cuda : JohannesGaessler, am17an, IMbackK, ORippler
# ggml-org/ggml-hexagon : lhez, max-krasnyansky
# ggml-org/ggml-metal : ggerganov
# ggml-org/ggml-opencl : lhez, max-krasnyansky
# ggml-org/ggml-rpc : rgerganov
# ggml-org/ggml-sycl : arthw
# ggml-org/ggml-vulkan : 0cc4m, jeffbolznv
# ggml-org/ggml-webgpu : reeselevine
# ggml-org/ggml-zdnn : taronaeo
# ggml-org/llama-common : ggerganov, aldehir, angt, danbev, ngxson, pwilkin
# ggml-org/llama-mtmd : ngxson
# ggml-org/llama-server : ggerganov, ngxson, allozaur, angt, ServeurpersoCom
# ggml-org/llama-ui : allozaur
# multiplie collaborators per item can be specified
/.devops/*.Dockerfile @ngxson
/.github/actions/ @ggml-org/ci
@@ -23,12 +7,9 @@
/ci/ @ggerganov
/cmake/ @ggerganov
/common/ @ggml-org/llama-common
/common/fit.* @JohannesGaessler
/common/jinja/ @CISC
/common/ngram-map.* @srogmann
/conversion/ @CISC
/convert_*.py @CISC
/docs/backend/snapdragon/ @ggml-org/ggml-hexagon
/examples/batched.swift/ @ggerganov
/examples/batched/ @ggerganov
/examples/convert-llama2c-to-ggml/ @ggerganov
@@ -49,34 +30,33 @@
/examples/parallel/ @ggerganov
/examples/passkey/ @ggerganov
/examples/retrieval/ @ggerganov
/examples/save-load-state/ @ggerganov
/examples/speculative-simple/ @ggerganov
/examples/speculative/ @ggerganov
/ggml/cmake/ @ggerganov
/ggml/include/ @ggerganov
/ggml/src/ggml-backend-meta.cpp @JohannesGaessler
/ggml/src/ggml-cann/ @ggml-org/ggml-cann
/ggml/src/ggml-common.h @ggerganov
/ggml/src/ggml-cpu/ @ggerganov
/ggml/src/ggml-cpu/spacemit/ @alex-spacemit
/ggml/src/ggml-cuda/ @ggml-org/ggml-cuda
/ggml/src/ggml-cuda/vendors/hip.h @IMbackK
/ggml/src/ggml-cuda/fattn-wmma* @IMbackK
/ggml/src/ggml-hexagon/ @ggml-org/ggml-hexagon
/ggml/src/ggml-hip/ @IMbackK
/ggml/src/ggml-cuda/vendors/hip.h @IMbackK
/ggml/src/ggml-impl.h @ggerganov
/ggml/src/ggml-metal/ @ggml-org/ggml-metal
/ggml/src/ggml-opencl/ @ggml-org/ggml-opencl
/ggml/src/ggml-openvino/ @cavusmustafa @wine99
/ggml/src/ggml-hexagon/ @ggml-org/ggml-hexagon
/ggml/src/ggml-opt.cpp @JohannesGaessler
/ggml/src/ggml-quants.* @ggerganov
/ggml/src/ggml-rpc/ @ggml-org/ggml-rpc
/ggml/src/ggml-sycl/ @ggml-org/ggml-sycl
/ggml/src/ggml-threading.* @ggerganov
/ggml/src/ggml-virtgpu/ @kpouget
/ggml/src/ggml-vulkan/ @ggml-org/ggml-vulkan
/ggml/src/ggml-virtgpu/ @kpouget
/ggml/src/ggml-webgpu/ @ggml-org/ggml-webgpu
/ggml/src/ggml-zdnn/ @ggml-org/ggml-zdnn @Andreas-Krebbel @AlekseiNikiforovIBM
/ggml/src/ggml-zendnn/ @avinashcpandey @Jiten1parmar @z-vishal
/ggml/src/ggml-openvino/ @cavusmustafa @wine99
/ggml/src/ggml.c @ggerganov
/ggml/src/ggml.cpp @ggerganov
/ggml/src/gguf.cpp @JohannesGaessler @Green-Sky
@@ -85,7 +65,6 @@
/scripts/gen* @ggerganov
/scripts/get* @ggerganov
/scripts/sync* @ggerganov
/scripts/snapdragon/ @ggml-org/ggml-hexagon
/src/ @ggerganov
/src/llama-adapter.* @CISC
/src/llama-arch.* @CISC
@@ -107,7 +86,7 @@
/tools/rpc/ @ggml-org/ggml-rpc
/tools/server/* @ggml-org/llama-server # no subdir
/tools/server/tests/ @ggml-org/llama-server
/tools/ui/ @ggml-org/llama-ui
/tools/server/webui/ @ggml-org/llama-webui
/tools/tokenize/ @ggerganov
/tools/tts/ @ggerganov
/vendor/ @ggerganov

View File

@@ -11,8 +11,6 @@ The project differentiates between 3 levels of contributors:
> [!IMPORTANT]
> This project does **not** accept pull requests that are fully or predominantly AI-generated. AI tools may be utilized solely in an assistive capacity.
>
> Repeated violations of this policy may result in your account being permanently banned from contributing to the project.
>
> Detailed information regarding permissible and restricted uses of AI can be found in the [AGENTS.md](AGENTS.md) file.
Code that is initially generated by AI and subsequently edited will still be considered AI-generated. AI assistance is permissible only when the majority of the code is authored by a human contributor, with AI employed exclusively for corrections or to expand on verbose modifications that the contributor has already conceptualized (e.g., generating repeated lines with minor variations).
@@ -46,9 +44,7 @@ Before submitting your PR:
- provide KL divergence data calculated vs. the FP16/BF16 (whichever is the native precision) version for both the new type as well as types of similar size
- provide [performance data](https://github.com/ggml-org/llama.cpp/tree/master/tools/llama-bench) for the new type in comparison to types of similar size on pure CPU
- Consider allowing write access to your branch for faster reviews, as reviewers can push commits directly
- If you are a new contributor
- Limit your open PRs to 1
- Do not submit trivial fixes (e.g. typos, formatting changes)
- If you are a new contributor, limit your open PRs to 1.
After submitting your PR:
- Expect requests for modifications to ensure the code meets llama.cpp's standards for quality and long-term maintainability
@@ -65,10 +61,10 @@ After submitting your PR:
- When merging a PR, make sure you have a good understanding of the changes
- Be mindful of maintenance: most of the work going into a feature happens after the PR is merged. If the PR author is not committed to contribute long-term, someone else needs to take responsibility (you)
Maintainers reserve the right to decline review or close pull requests for any reason, without any questions, particularly under any of the following conditions:
Maintainers reserve the right to decline review or close pull requests for any reason, particularly under any of the following conditions:
- The proposed change is already mentioned in the roadmap or an existing issue, and it has been assigned to someone.
- The pull request duplicates an existing one.
- The contributor fails to adhere to this contributing guide or the AI policy.
- The contributor fails to adhere to this contributing guide.
# Coding guidelines
@@ -182,8 +178,6 @@ Maintainers reserve the right to decline review or close pull requests for any r
- New code should follow the guidelines (coding, naming, etc.) outlined in this document. Exceptions are allowed in isolated, backend-specific parts of the code that do not interface directly with the `ggml` interfaces.
_(NOTE: for legacy reasons, existing code is not required to follow this guideline)_
- For changes in server, please make sure to refer to the [server development documentation](./tools/server/README-dev.md)
# Documentation
- Documentation is a community effort

View File

@@ -17,7 +17,6 @@ LLM inference in C/C++
## Hot topics
- **Hugging Face cache migration: models downloaded with `-hf` are now stored in the standard Hugging Face cache directory, enabling sharing with other HF tools.**
- **[guide : using the new WebUI of llama.cpp](https://github.com/ggml-org/llama.cpp/discussions/16938)**
- [guide : running gpt-oss with llama.cpp](https://github.com/ggml-org/llama.cpp/discussions/15396)
- [[FEEDBACK] Better packaging for llama.cpp to support downstream consumers 🤗](https://github.com/ggml-org/llama.cpp/discussions/15313)
@@ -27,7 +26,6 @@ LLM inference in C/C++
- Vim/Neovim plugin for FIM completions: https://github.com/ggml-org/llama.vim
- Hugging Face Inference Endpoints now support GGUF out of the box! https://github.com/ggml-org/llama.cpp/discussions/9669
- Hugging Face GGUF editor: [discussion](https://github.com/ggml-org/llama.cpp/discussions/9268) | [tool](https://huggingface.co/spaces/CISCai/gguf-editor)
- WebGPU support is now available in the browser, see a blog/demo introducing it [here](https://reeselevine.github.io/llamas-on-the-web/).
----
@@ -173,7 +171,6 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo
- JavaScript/Wasm (works in browser): [tangledgroup/llama-cpp-wasm](https://github.com/tangledgroup/llama-cpp-wasm)
- Typescript/Wasm (nicer API, available on npm): [ngxson/wllama](https://github.com/ngxson/wllama)
- Ruby: [yoshoku/llama_cpp.rb](https://github.com/yoshoku/llama_cpp.rb)
- Ruby: [docusealco/rllama](https://github.com/docusealco/rllama)
- Rust (more features): [edgenai/llama_cpp-rs](https://github.com/edgenai/llama_cpp-rs)
- Rust (nicer API): [mdrokz/rust-llama.cpp](https://github.com/mdrokz/rust-llama.cpp)
- Rust (more direct bindings): [utilityai/llama-cpp-rs](https://github.com/utilityai/llama-cpp-rs)
@@ -244,7 +241,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo
<details>
<summary>Tools</summary>
- [akx/ggify](https://github.com/akx/ggify) download PyTorch models from Hugging Face Hub and convert them to GGML
- [akx/ggify](https://github.com/akx/ggify) download PyTorch models from HuggingFace Hub and convert them to GGML
- [akx/ollama-dl](https://github.com/akx/ollama-dl) download models from the Ollama library to be used directly with llama.cpp
- [crashr/gppm](https://github.com/crashr/gppm) launch llama.cpp instances utilizing NVIDIA Tesla P40 or P100 GPUs with reduced idle power consumption
- [gpustack/gguf-parser](https://github.com/gpustack/gguf-parser-go/tree/main/cmd/gguf-parser) - review/check the GGUF file and estimate the memory usage
@@ -281,7 +278,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo
| [Metal](docs/build.md#metal-build) | Apple Silicon |
| [BLAS](docs/build.md#blas-build) | All |
| [BLIS](docs/backend/BLIS.md) | All |
| [SYCL](docs/backend/SYCL.md) | Intel GPU |
| [SYCL](docs/backend/SYCL.md) | Intel and Nvidia GPU |
| [OpenVINO [In Progress]](docs/backend/OPENVINO.md) | Intel CPUs, GPUs, and NPUs |
| [MUSA](docs/build.md#musa) | Moore Threads GPU |
| [CUDA](docs/build.md#cuda) | Nvidia GPU |
@@ -291,7 +288,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo
| [CANN](docs/build.md#cann) | Ascend NPU |
| [OpenCL](docs/backend/OPENCL.md) | Adreno GPU |
| [IBM zDNN](docs/backend/zDNN.md) | IBM Z & LinuxONE |
| [WebGPU](docs/build.md#webgpu) | All |
| [WebGPU [In Progress]](docs/build.md#webgpu) | All |
| [RPC](https://github.com/ggml-org/llama.cpp/tree/master/tools/rpc) | All |
| [Hexagon [In Progress]](docs/backend/snapdragon/README.md) | Snapdragon |
| [VirtGPU](docs/backend/VirtGPU.md) | VirtGPU APIR |
@@ -303,13 +300,13 @@ The [Hugging Face](https://huggingface.co) platform hosts a [number of LLMs](htt
- [Trending](https://huggingface.co/models?library=gguf&sort=trending)
- [LLaMA](https://huggingface.co/models?sort=trending&search=llama+gguf)
You can either manually download the GGUF file or directly use any `llama.cpp`-compatible models from [Hugging Face](https://huggingface.co/) or other model hosting sites, by using this CLI argument: `-hf <user>/<model>[:quant]`. For example:
You can either manually download the GGUF file or directly use any `llama.cpp`-compatible models from [Hugging Face](https://huggingface.co/) or other model hosting sites, such as [ModelScope](https://modelscope.cn/), by using this CLI argument: `-hf <user>/<model>[:quant]`. For example:
```sh
llama-cli -hf ggml-org/gemma-3-1b-it-GGUF
```
By default, the CLI would download from Hugging Face, you can switch to other options with the environment variable `MODEL_ENDPOINT`. The `MODEL_ENDPOINT` must point to a Hugging Face compatible API endpoint.
By default, the CLI would download from Hugging Face, you can switch to other options with the environment variable `MODEL_ENDPOINT`. For example, you may opt to downloading model checkpoints from ModelScope or other model sharing communities by setting the environment variable, e.g. `MODEL_ENDPOINT=https://www.modelscope.cn/`.
After downloading a model, use the CLI tools to run it locally - see below.
@@ -531,7 +528,6 @@ To learn more about model quantization, [read this documentation](tools/quantize
- [How to build](docs/build.md)
- [Running on Docker](docs/docker.md)
- [Build on Android](docs/android.md)
- [Multi-GPU usage](docs/multi-gpu.md)
- [Performance troubleshooting](docs/development/token_generation_performance_tips.md)
- [GGML tips & tricks](https://github.com/ggml-org/llama.cpp/wiki/GGML-Tips-&-Tricks)

View File

@@ -1,20 +0,0 @@
set(TARGET llama-app)
add_executable(${TARGET} llama.cpp)
set_target_properties(${TARGET} PROPERTIES OUTPUT_NAME llama)
target_link_libraries(${TARGET} PRIVATE
llama-server-impl
llama-cli-impl
llama-completion-impl
llama-bench-impl
llama-batched-bench-impl
llama-fit-params-impl
llama-quantize-impl
llama-perplexity-impl
)
target_compile_features(${TARGET} PRIVATE cxx_std_17)
if(LLAMA_TOOLS_INSTALL)
install(TARGETS ${TARGET} RUNTIME)
endif()

View File

@@ -1,95 +0,0 @@
#include "build-info.h"
#include <cstdio>
#include <cstdlib>
#include <string>
#include <vector>
// visible
int llama_server(int argc, char ** argv);
int llama_cli(int argc, char ** argv);
// hidden
int llama_completion(int argc, char ** argv);
int llama_bench(int argc, char ** argv);
int llama_batched_bench(int argc, char ** argv);
int llama_fit_params(int argc, char ** argv);
int llama_quantize(int argc, char ** argv);
int llama_perplexity(int argc, char ** argv);
static int help(int argc, char ** argv);
static int version(int argc, char ** argv);
struct command {
const char * name;
const char * desc;
std::vector<std::string> aliases;
bool hidden;
int (*func)(int, char **);
};
static const command cmds[] = {
{"serve", "HTTP API server", {"server"}, false, llama_server },
{"cli", "Command-line interactive interface", {"client"}, false, llama_cli },
{"completion", "Text completion", {"complete"}, true, llama_completion },
{"bench", "Benchmark prompt processing and text generation", {}, true, llama_bench },
{"batched-bench", "Benchmark batched decoding performance", {}, true, llama_batched_bench},
{"fit-params", "Compute parameters to fit a model in device memory", {}, true, llama_fit_params },
{"quantize", "Quantize a model", {}, true, llama_quantize },
{"perplexity", "Compute model perplexity and KL divergence", {}, true, llama_perplexity },
{"version", "Show version", {}, true, version },
{"help", "Show available commands", {}, true, help },
};
static int version(int argc, char ** argv) {
printf("%s\n", llama_build_info());
return 0;
}
static int help(int argc, char ** argv) {
const bool show_all = argc >= 2 && std::string(argv[1]) == "all";
printf("Usage: llama <command> [options]\n\nAvailable commands:\n");
for (const auto & cmd : cmds) {
if (show_all || !cmd.hidden) {
printf(" %-15s %s\n", cmd.name, cmd.desc);
}
}
printf("\nRun 'llama <command> --help' for command-specific usage.\n");
return 0;
}
static bool matches(const std::string & arg, const command & cmd) {
if (arg == cmd.name) {
return true;
}
for (const auto & alias : cmd.aliases) {
if (arg == alias) {
return true;
}
}
return false;
}
int main(int argc, char ** argv) {
const std::string arg = argc >= 2 ? argv[1] : "help";
for (const auto & cmd : cmds) {
if (matches(arg, cmd)) {
// router spawns children through this same binary, it needs the
// subcommand to relaunch as 'llama serve' and not bare options
#ifdef _WIN32
_putenv_s("LLAMA_APP_CMD", cmd.name);
#else
setenv("LLAMA_APP_CMD", cmd.name, 1);
#endif
return cmd.func(argc - 1, argv + 1);
}
}
fprintf(stderr, "error: unknown command '%s'\n", arg.c_str());
return 1;
}

View File

@@ -7,7 +7,6 @@ VISIONOS_MIN_OS_VERSION=1.0
TVOS_MIN_OS_VERSION=16.4
BUILD_SHARED_LIBS=OFF
LLAMA_BUILD_APP=OFF
LLAMA_BUILD_EXAMPLES=OFF
LLAMA_BUILD_TOOLS=OFF
LLAMA_BUILD_TESTS=OFF
@@ -32,7 +31,6 @@ COMMON_CMAKE_ARGS=(
-DCMAKE_XCODE_ATTRIBUTE_STRIP_INSTALLED_PRODUCT=NO
-DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml
-DBUILD_SHARED_LIBS=${BUILD_SHARED_LIBS}
-DLLAMA_BUILD_APP=${LLAMA_BUILD_APP}
-DLLAMA_BUILD_EXAMPLES=${LLAMA_BUILD_EXAMPLES}
-DLLAMA_BUILD_TOOLS=${LLAMA_BUILD_TOOLS}
-DLLAMA_BUILD_TESTS=${LLAMA_BUILD_TESTS}

128
ci/run.sh
View File

@@ -25,13 +25,7 @@
# # with KLEIDIAI support
# GG_BUILD_KLEIDIAI=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
# # with BLAS support
# GG_BUILD_BLAS=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
# with BLAS support (custom vendor)
# GG_BUILD_BLAS=1 GG_BUILD_BLAS_VENDOR=Intel10_64lp bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
# with OPENVINO support
# # with OPENVINO support
# GG_BUILD_OPENVINO=1 GG_BUILD_LOW_PERF=1 GGML_OPENVINO_DEVICE=CPU bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
@@ -57,13 +51,6 @@ SRC=`pwd`
CMAKE_EXTRA="-DLLAMA_FATAL_WARNINGS=${LLAMA_FATAL_WARNINGS:-ON} -DLLAMA_OPENSSL=OFF -DGGML_SCHED_NO_REALLOC=ON"
CTEST_EXTRA=""
# Default to use make unless specified for compatibility
CMAKE_GENERATOR="Unix Makefiles"
if [ ! -z "${GG_BUILD_NINJA}" ]; then
CMAKE_GENERATOR="Ninja"
fi
if [ ! -z ${GG_BUILD_METAL} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_METAL=ON"
fi
@@ -117,19 +104,8 @@ if [ ! -z ${GG_BUILD_VULKAN} ]; then
# if on Mac, disable METAL
if [[ "$OSTYPE" == "darwin"* ]]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_METAL=OFF -DGGML_BLAS=OFF"
MACOS_RUNNER_CUSTOM_VULKAN_CMAKE_LOCATION="/usr/local/lib/cmake/vulkan"
MACOS_RUNNER_CUSTOM_SPIRV_HEADERS_LOCATION="${MACOS_RUNNER_CUSTOM_VULKAN_CMAKE_LOCATION}/SPIRV-Headers/SPIRV-HeadersConfig.cmake"
if [[ -f "${MACOS_RUNNER_CUSTOM_SPIRV_HEADERS_LOCATION}" || -h "${MACOS_RUNNER_CUSTOM_SPIRV_HEADERS_LOCATION}" ]]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DSPIRV-Headers_DIR=${MACOS_RUNNER_CUSTOM_VULKAN_CMAKE_LOCATION}/SPIRV-Headers"
fi
fi
# Build shared libs on Windows
# to reduce binary size and avoid errors in library loading unit tests
if uname -s | grep -qi nt; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DBUILD_SHARED_LIBS=ON"
fi
fi
if [ ! -z ${GG_BUILD_WEBGPU} ]; then
@@ -162,11 +138,35 @@ fi
if [ -n "${GG_BUILD_KLEIDIAI}" ]; then
echo ">>===== Enabling KleidiAI support"
CMAKE_EXTRA="${CMAKE_EXTRA:+$CMAKE_EXTRA } -DGGML_CPU_KLEIDIAI=ON"
fi
if [ ! -z ${GG_BUILD_BLAS} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=${GG_BUILD_BLAS_VENDOR:-OpenBLAS}"
CANDIDATES=(
"armv9-a+dotprod+i8mm+sve2"
"armv9-a+dotprod+i8mm"
"armv8.6-a+dotprod+i8mm"
"armv8.2-a+dotprod"
)
CPU=""
for cpu in "${CANDIDATES[@]}"; do
if echo 'int main(){}' | ${CXX:-c++} -march="$cpu" -x c++ - -c -o /dev/null >/dev/null 2>&1; then
CPU="$cpu"
break
fi
done
if [ -z "$CPU" ]; then
echo "ERROR: None of the required ARM baselines (armv9/armv8.6/armv8.2 + dotprod) are supported by this compiler."
exit 1
fi
echo ">>===== Using ARM baseline: ${CPU}"
CMAKE_EXTRA="${CMAKE_EXTRA:+$CMAKE_EXTRA } \
-DGGML_NATIVE=OFF \
-DGGML_CPU_KLEIDIAI=ON \
-DGGML_CPU_AARCH64=ON \
-DGGML_CPU_ARM_ARCH=${CPU} \
-DBUILD_SHARED_LIBS=OFF"
fi
if [ ! -z ${GG_BUILD_OPENVINO} ]; then
@@ -232,13 +232,13 @@ function gg_run_ctest_debug {
set -e
# Check required binaries are installed
# Check cmake, make and ctest are installed
gg_check_build_requirements
(cmake -G "${CMAKE_GENERATOR}" -DCMAKE_BUILD_TYPE=Debug ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time cmake --build . --config Debug -j$(nproc)) 2>&1 | tee -a $OUT/${ci}-make.log
(time cmake -DCMAKE_BUILD_TYPE=Debug ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log
(time ctest -C Debug --output-on-failure -L main -E "test-opt|test-backend-ops|test-llama-archs" ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
(time ctest --output-on-failure -L main -E "test-opt|test-backend-ops" ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
set +e
}
@@ -263,16 +263,16 @@ function gg_run_ctest_release {
set -e
# Check required binaries are installed
# Check cmake, make and ctest are installed
gg_check_build_requirements
(cmake -G "${CMAKE_GENERATOR}" -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time cmake --build . --config Release -j$(nproc)) 2>&1 | tee -a $OUT/${ci}-make.log
(time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log
if [ -z ${GG_BUILD_LOW_PERF} ]; then
(time ctest -C Release --output-on-failure -L 'main|python' ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
(time ctest --output-on-failure -L 'main|python' ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
else
(time ctest -C Release --output-on-failure -L main -E test-opt ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
(time ctest --output-on-failure -L main -E test-opt ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
fi
set +e
@@ -330,7 +330,7 @@ function gg_run_ctest_with_model_debug {
cd build-ci-debug
set -e
(LLAMACPP_TEST_MODELFILE="$model" time ctest -C Debug --output-on-failure -L model) 2>&1 | tee -a $OUT/${ci}-ctest.log
(LLAMACPP_TEST_MODELFILE="$model" time ctest --output-on-failure -L model) 2>&1 | tee -a $OUT/${ci}-ctest.log
set +e
cd ..
@@ -343,7 +343,7 @@ function gg_run_ctest_with_model_release {
cd build-ci-release
set -e
(LLAMACPP_TEST_MODELFILE="$model" time ctest -C Release --output-on-failure -L model) 2>&1 | tee -a $OUT/${ci}-ctest.log
(LLAMACPP_TEST_MODELFILE="$model" time ctest --output-on-failure -L model) 2>&1 | tee -a $OUT/${ci}-ctest.log
# test memory leaks
#if [[ ! -z ${GG_BUILD_METAL} ]]; then
@@ -397,8 +397,8 @@ function gg_run_qwen3_0_6b {
set -e
(cmake -G "${CMAKE_GENERATOR}" -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time cmake --build . --config Release -j$(nproc)) 2>&1 | tee -a $OUT/${ci}-make.log
(time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log
python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf --outtype f16
python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-bf16.gguf --outtype bf16
@@ -461,10 +461,10 @@ function gg_run_qwen3_0_6b {
(time ./bin/llama-imatrix --model ${model_f16} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-imatrix.log
(time ./bin/test-save-load-state --model ${model_q4_0} -ngl 10 -c 1024 -fa off --no-op-offload) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
(time ./bin/test-save-load-state --model ${model_q4_0} -ngl 10 -c 1024 -fa on --no-op-offload) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
(time ./bin/test-save-load-state --model ${model_q4_0} -ngl 99 -c 1024 -fa off ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
(time ./bin/test-save-load-state --model ${model_q4_0} -ngl 99 -c 1024 -fa on ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
(time ./bin/llama-save-load-state --model ${model_q4_0} -ngl 10 -c 1024 -fa off --no-op-offload) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
(time ./bin/llama-save-load-state --model ${model_q4_0} -ngl 10 -c 1024 -fa on --no-op-offload) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
(time ./bin/llama-save-load-state --model ${model_q4_0} -ngl 99 -c 1024 -fa off ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
(time ./bin/llama-save-load-state --model ${model_q4_0} -ngl 99 -c 1024 -fa on ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
function check_ppl {
qnt="$1"
@@ -546,8 +546,8 @@ function gg_run_embd_bge_small {
set -e
(cmake -G "${CMAKE_GENERATOR}" -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time cmake --build . --config Release -j$(nproc)) 2>&1 | tee -a $OUT/${ci}-make.log
(time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log
python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf
@@ -591,8 +591,8 @@ function gg_run_rerank_tiny {
set -e
(cmake -G "${CMAKE_GENERATOR}" -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time cmake --build . --config Release -j$(nproc)) 2>&1 | tee -a $OUT/${ci}-make.log
(time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log
python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf
@@ -638,36 +638,12 @@ function gg_sum_rerank_tiny {
}
function gg_check_build_requirements {
if ! command -v git &> /dev/null; then
gg_printf 'git not found, please install'
fi
if ! command -v git-lfs &> /dev/null; then
gg_printf 'git-lfs not found, please install'
fi
if ! command -v wget &> /dev/null; then
gg_printf 'wget not found, please install'
fi
if ! command -v python3 &> /dev/null; then
gg_printf 'python3 not found, please install'
fi
if ! command -v pip3 &> /dev/null; then
gg_printf 'pip3 not found, please install'
fi
if ! python3 -m ensurepip --help &> /dev/null; then
gg_printf 'ensurepip not found, please install python3-venv package'
fi
if ! command -v cmake &> /dev/null; then
gg_printf 'cmake not found, please install'
fi
if ! command -v ccache &> /dev/null; then
gg_printf 'ccache not found, please consider installing for faster builds'
if ! command -v make &> /dev/null; then
gg_printf 'make not found, please install'
fi
if ! command -v ctest &> /dev/null; then

View File

@@ -1,17 +0,0 @@
set( CMAKE_SYSTEM_NAME Linux )
set( CMAKE_SYSTEM_PROCESSOR arm64 )
set( target aarch64-linux-gnu )
set( CMAKE_C_COMPILER clang )
set( CMAKE_CXX_COMPILER clang++ )
set( CMAKE_C_COMPILER_TARGET ${target} )
set( CMAKE_CXX_COMPILER_TARGET ${target} )
set( arch_c_flags "-march=armv8.7-a -fvectorize -ffp-model=fast -fno-finite-math-only" )
set( warn_c_flags "-Wno-format -Wno-unused-variable -Wno-unused-function -Wno-gnu-zero-variadic-macro-arguments" )
set( CMAKE_C_FLAGS_INIT "${arch_c_flags} ${warn_c_flags}" )
set( CMAKE_CXX_FLAGS_INIT "${arch_c_flags} ${warn_c_flags}" )

View File

@@ -7,7 +7,7 @@ set(LLAMA_SHARED_LIB @BUILD_SHARED_LIBS@)
set_and_check(LLAMA_INCLUDE_DIR "@PACKAGE_LLAMA_INCLUDE_INSTALL_DIR@")
set_and_check(LLAMA_LIB_DIR "@PACKAGE_LLAMA_LIB_INSTALL_DIR@")
set(LLAMA_BIN_DIR "@PACKAGE_LLAMA_BIN_INSTALL_DIR@")
set_and_check(LLAMA_BIN_DIR "@PACKAGE_LLAMA_BIN_INSTALL_DIR@")
find_package(ggml REQUIRED HINTS ${LLAMA_LIB_DIR}/cmake)

View File

@@ -24,6 +24,6 @@ set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER)
set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_PACKAGE ONLY)
set(CMAKE_C_FLAGS "-march=rv64gcv_zfh_zvfh_zba_zicbop -mabi=lp64d -fno-tree-vectorize -fno-tree-loop-vectorize ${CMAKE_C_FLAGS}")
set(CMAKE_CXX_FLAGS "-march=rv64gcv_zfh_zvfh_zba_zicbop -mabi=lp64d -fno-tree-vectorize -fno-tree-loop-vectorize ${CMAKE_CXX_FLAGS}")
set(CMAKE_C_FLAGS "-march=rv64gcv_zfh_zba_zicbop -mabi=lp64d ${CMAKE_C_FLAGS}")
set(CMAKE_CXX_FLAGS "-march=rv64gcv_zfh_zba_zicbop -mabi=lp64d ${CXX_FLAGS}")
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -latomic")

View File

@@ -1,11 +1,9 @@
# common
find_package(Threads REQUIRED)
llama_add_compile_flags()
#
# llama-common-base
#
# Build info header
if(EXISTS "${PROJECT_SOURCE_DIR}/.git")
@@ -35,25 +33,17 @@ endif()
set(TEMPLATE_FILE "${CMAKE_CURRENT_SOURCE_DIR}/build-info.cpp.in")
set(OUTPUT_FILE "${CMAKE_CURRENT_BINARY_DIR}/build-info.cpp")
configure_file(${TEMPLATE_FILE} ${OUTPUT_FILE})
set(TARGET llama-common-base)
add_library(${TARGET} STATIC ${OUTPUT_FILE})
target_include_directories(${TARGET} PUBLIC .)
set(TARGET build_info)
add_library(${TARGET} OBJECT ${OUTPUT_FILE})
if (BUILD_SHARED_LIBS)
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
endif()
#
# llama-common
#
set(TARGET common)
set(TARGET llama-common)
add_library(${TARGET}
add_library(${TARGET} STATIC
arg.cpp
arg.h
base64.hpp
@@ -73,10 +63,6 @@ add_library(${TARGET}
debug.h
download.cpp
download.h
fit.cpp
fit.h
hf-cache.cpp
hf-cache.h
http.h
json-partial.cpp
json-partial.h
@@ -118,24 +104,17 @@ add_library(${TARGET}
jinja/caps.h
)
set_target_properties(${TARGET} PROPERTIES
VERSION ${LLAMA_INSTALL_VERSION}
SOVERSION 0
MACHO_CURRENT_VERSION 0 # keep macOS linker from seeing oversized version number
)
target_include_directories(${TARGET} PUBLIC . ../vendor)
target_compile_features (${TARGET} PUBLIC cxx_std_17)
if (BUILD_SHARED_LIBS)
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
# TODO: make fine-grained exports in the future
set_target_properties(${TARGET} PROPERTIES WINDOWS_EXPORT_ALL_SYMBOLS ON)
endif()
target_link_libraries(${TARGET} PUBLIC llama-common-base)
target_link_libraries(${TARGET} PRIVATE cpp-httplib)
target_link_libraries(${TARGET} PRIVATE
build_info
cpp-httplib
)
if (LLAMA_LLGUIDANCE)
include(ExternalProject)

File diff suppressed because it is too large Load Diff

View File

@@ -25,8 +25,7 @@ struct common_arg {
const char * value_hint_2 = nullptr; // for second arg value
const char * env = nullptr;
std::string help;
bool is_sampling = false; // is current arg a sampling param?
bool is_spec = false; // is current arg a speculative decoding param?
bool is_sparam = false; // is current arg a sampling param?
bool is_preset_only = false; // is current arg preset-only (not treated as CLI arg)
void (*handler_void) (common_params & params) = nullptr;
void (*handler_string) (common_params & params, const std::string &) = nullptr;
@@ -75,8 +74,7 @@ struct common_arg {
common_arg & set_examples(std::initializer_list<enum llama_example> examples);
common_arg & set_excludes(std::initializer_list<enum llama_example> excludes);
common_arg & set_env(const char * env);
common_arg & set_sampling();
common_arg & set_spec();
common_arg & set_sparam();
common_arg & set_preset_only();
bool in_example(enum llama_example ex);
bool is_exclude(enum llama_example ex);
@@ -129,8 +127,5 @@ bool common_params_to_map(int argc, char ** argv, llama_example ex, std::map<com
// see: https://github.com/ggml-org/llama.cpp/issues/18163
void common_params_add_preset_options(std::vector<common_arg> & args);
// Populate model paths (main model, mmproj, etc) from -hf if necessary
void common_params_handle_models(common_params & params, llama_example curr_ex);
// initialize argument parser context - used by test-arg-parser and preset
common_params_context common_params_parser_init(common_params & params, llama_example ex, void(*print_usage)(int, char **) = nullptr);

View File

@@ -1,35 +1,4 @@
#include "build-info.h"
#include <cstdio>
#include <string>
int LLAMA_BUILD_NUMBER = @LLAMA_BUILD_NUMBER@;
char const * LLAMA_COMMIT = "@LLAMA_BUILD_COMMIT@";
char const * LLAMA_COMPILER = "@BUILD_COMPILER@";
char const * LLAMA_BUILD_TARGET = "@BUILD_TARGET@";
int llama_build_number(void) {
return LLAMA_BUILD_NUMBER;
}
const char * llama_commit(void) {
return LLAMA_COMMIT;
}
const char * llama_compiler(void) {
return LLAMA_COMPILER;
}
const char * llama_build_target(void) {
return LLAMA_BUILD_TARGET;
}
const char * llama_build_info(void) {
static std::string s = "b" + std::to_string(LLAMA_BUILD_NUMBER) + "-" + LLAMA_COMMIT;
return s.c_str();
}
void llama_print_build_info(void) {
fprintf(stderr, "%s: build = %d (%s)\n", __func__, llama_build_number(), llama_commit());
fprintf(stderr, "%s: built with %s for %s\n", __func__, llama_compiler(), llama_build_target());
}
char const *LLAMA_COMMIT = "@LLAMA_BUILD_COMMIT@";
char const *LLAMA_COMPILER = "@BUILD_COMPILER@";
char const *LLAMA_BUILD_TARGET = "@BUILD_TARGET@";

View File

@@ -1,11 +0,0 @@
#pragma once
int llama_build_number(void);
const char * llama_commit(void);
const char * llama_compiler(void);
const char * llama_build_target(void);
const char * llama_build_info(void);
void llama_print_build_info(void);

View File

@@ -1,4 +1,3 @@
#include "chat-auto-parser-helpers.h"
#include "chat-auto-parser.h"
#include "chat-peg-parser.h"
#include "chat.h"
@@ -6,7 +5,6 @@
#include "json-schema-to-grammar.h"
#include "log.h"
#include "nlohmann/json.hpp"
#include "peg-parser.h"
#include <stdexcept>
#include <string>
@@ -25,13 +23,13 @@ static void foreach_function(const json & tools, const std::function<void(const
namespace autoparser {
parser_build_context::parser_build_context(common_chat_peg_builder & p, const generation_params & inputs) :
parser_build_context::parser_build_context(common_chat_peg_builder & p, const templates_params & inputs) :
p(p),
inputs(inputs),
reasoning_parser(p.eps()) {}
common_chat_params peg_generator::generate_parser(const common_chat_template & tmpl,
const struct generation_params & inputs) {
const struct templates_params & inputs) {
// Run differential analysis to extract template structure
struct autoparser autoparser;
autoparser.analyze_template(tmpl);
@@ -39,38 +37,17 @@ common_chat_params peg_generator::generate_parser(const common_chat_template &
}
common_chat_params peg_generator::generate_parser(const common_chat_template & tmpl,
const struct generation_params & inputs,
const struct templates_params & inputs,
const autoparser & autoparser) {
// Build the parser using the analysis results
auto parser = autoparser.build_parser(inputs);
// Create the result structure
common_chat_params data;
data.prompt = common_chat_template_direct_apply(tmpl, inputs);
data.generation_prompt = common_chat_template_generation_prompt(tmpl, inputs);
data.format = COMMON_CHAT_FORMAT_PEG_NATIVE;
data.preserved_tokens = autoparser.preserved_tokens;
std::string parser_generation_prompt = data.generation_prompt;
if (inputs.continue_final_message != COMMON_CHAT_CONTINUATION_NONE && !inputs.continue_msg.empty()) {
// Build up generation prompt manually
const auto & msg = inputs.continue_msg;
if (!autoparser.reasoning.start.empty()) {
data.generation_prompt = data.generation_prompt.substr(0, data.generation_prompt.find(autoparser.reasoning.start));
data.generation_prompt += autoparser.reasoning.start + msg.reasoning_content;
if (inputs.continue_final_message == COMMON_CHAT_CONTINUATION_CONTENT) {
data.generation_prompt += autoparser.reasoning.end;
}
}
if (inputs.continue_final_message == COMMON_CHAT_CONTINUATION_CONTENT) {
data.generation_prompt += msg.render_content();
}
data.prompt += data.generation_prompt;
}
auto parser = autoparser.build_parser(inputs, parser_generation_prompt);
data.parser = parser.save();
data.prompt = common_chat_template_direct_apply(tmpl, inputs);
data.format = COMMON_CHAT_FORMAT_PEG_NATIVE;
data.preserved_tokens = autoparser.preserved_tokens;
data.parser = parser.save();
// Build grammar if tools are present
bool has_tools =
@@ -88,13 +65,9 @@ common_chat_params peg_generator::generate_parser(const common_chat_template &
data.grammar = build_grammar([&](const common_grammar_builder & builder) {
foreach_function(inputs.tools, [&](const json & tool) {
const auto & function = tool.at("function");
auto schema = function.contains("parameters") ? function.at("parameters") : json::object();
auto schema = function.at("parameters");
builder.resolve_refs(schema);
});
if (has_response_format) {
auto schema = inputs.json_schema;
builder.resolve_refs(schema);
}
parser.build_grammar(builder, data.grammar_lazy);
});
@@ -109,41 +82,44 @@ common_chat_params peg_generator::generate_parser(const common_chat_template &
return data;
}
common_peg_arena autoparser::build_parser(const generation_params & inputs, const std::string & generation_prompt) const {
common_peg_arena autoparser::build_parser(const templates_params & inputs) const {
if (!analysis_complete) {
throw std::invalid_argument("Cannot call build_parser on autoparser without performing analysis first, call analyze_template(...)");
}
return build_chat_peg_parser([&](common_chat_peg_builder & p) {
// If the template uses Python dict format (single-quoted strings in JSON structures),
// pre-register a json-string rule that accepts both quote styles. This must happen
// before any call to p.json() so that all JSON parsing inherits the flexible rule.
if (tools.format.uses_python_dicts) {
p.rule("json-string", p.quoted_string());
}
parser_build_context ctx(p, inputs);
bool extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
bool enable_thinking = inputs.enable_thinking;
ctx.extracting_reasoning = extract_reasoning && reasoning.mode != reasoning_mode::NONE;
ctx.extracting_reasoning = extract_reasoning && enable_thinking && reasoning.mode != reasoning_mode::NONE;
ctx.content = &content;
ctx.reasoning = &reasoning;
// Build reasoning parser
ctx.reasoning_parser = reasoning.build_parser(ctx);
auto parser = p.eps();
bool has_tools = inputs.tools.is_array() && !inputs.tools.empty();
bool has_response_format = inputs.json_schema.is_object() && !inputs.json_schema.empty();
bool pure_content = reasoning.mode == reasoning_mode::NONE;
if (has_response_format) {
auto response_format = p.rule("response-format", p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema)));
parser = ctx.reasoning_parser + p.space() + p.choice({
return ctx.reasoning_parser + p.space() + p.choice({
p.literal("```json") + p.space() + response_format + p.space() + p.literal("```"),
response_format
}) + p.end();
pure_content = false;
} else if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && jinja_caps.supports_tool_calls) {
parser = tools.build_parser(ctx);
pure_content = false;
} else {
parser = content.build_parser(ctx);
}
return pure_content ? p.prefix(generation_prompt, reasoning.start) + parser : p.prefix(generation_prompt, reasoning.start) << parser;
if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && jinja_caps.supports_tool_calls) {
return tools.build_parser(ctx);
}
return content.build_parser(ctx);
});
}
@@ -154,15 +130,24 @@ common_peg_parser analyze_reasoning::build_parser(parser_build_context & ctx) co
return p.eps();
}
bool thinking_forced_open = (mode == reasoning_mode::FORCED_OPEN);
bool thinking_forced_closed = (mode == reasoning_mode::FORCED_CLOSED);
if (thinking_forced_open || thinking_forced_closed) {
// Thinking is forced open OR forced closed with enable_thinking=true
// In both cases, expect only the closing tag (opening was in template)
// However, since we might have incorrectly detected the open/close pattern,
// we admit an optional starting marker
return p.optional(p.literal(start)) + p.reasoning(p.until(end)) + end;
}
if (mode == reasoning_mode::TAG_BASED || mode == reasoning_mode::TOOLS_ONLY) {
if (!end.empty()) {
if (!start.empty()) {
// Standard tag-based: optional(<think>reasoning</think>)
return p.optional(p.optspace(start) + p.reasoning(p.until(trim_whitespace(end))) + p.optspace(end));
}
// Delimiter-style (empty start)
return p.optional(p.reasoning(p.until(trim_whitespace(end))) + p.optspace(end));
// Standard tag-based reasoning OR tools-only mode (reasoning appears with tools)
// Both use the same tag-based pattern if markers are available
if (!start.empty() && !end.empty()) {
return p.optional(start + p.reasoning(p.until(end)) + end);
}
} else if (mode == reasoning_mode::DELIMITER) {
return p.optional(p.reasoning(p.until(end)) + end);
}
return p.eps();
@@ -208,6 +193,7 @@ common_peg_parser analyze_tools::build_parser(parser_build_context & ctx) const
common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_context & ctx) const {
auto & p = ctx.p;
const auto & inputs = ctx.inputs;
bool force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
// Build effective field names with dot notation if function_field is set
std::string name_field = format.name_field;
@@ -219,19 +205,10 @@ common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_cont
args_field = format.function_field + "." + args_field;
}
auto tools_parser = p.eps();
if (format.section_start.empty() && !format.per_call_start.empty()) {
auto single_tool_parser = p.standard_json_tools(
format.per_call_start, format.per_call_end, inputs.tools, inputs.parallel_tool_calls,
inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
tools_parser = p.trigger_rule("tool-calls", p.one_or_more(single_tool_parser + p.space()));
} else {
tools_parser = p.standard_json_tools(
format.section_start, format.section_end, inputs.tools, inputs.parallel_tool_calls,
inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
}
auto tools_parser = p.standard_json_tools(
format.section_start, format.section_end, inputs.tools, inputs.parallel_tool_calls,
inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
// Handle content wrappers if present
if (ctx.content && ctx.content->is_always_wrapped()) {
@@ -246,80 +223,34 @@ common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_cont
tool_start = format.per_call_start;
}
return ctx.reasoning_parser + p.optional(p.content(p.until(tool_start))) + tools_parser + p.end();
}
common_peg_parser analyze_tools::build_func_parser(common_chat_peg_builder & p, const std::string & name,
const common_peg_parser & call_id_section, bool have_call_id,
const common_peg_parser & args,
std::optional<common_peg_parser> atomic_peek) const {
auto open = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix);
bool matched_atomic = false;
common_peg_parser func_parser = p.eps();
if (!function.name_suffix.empty()) {
func_parser = open + call_id_section + p.space() + args;
matched_atomic = true;
} else if (have_call_id) {
func_parser = p.atomic(open + call_id_section) + p.space() + args;
matched_atomic = true;
} else if (atomic_peek.has_value()) {
func_parser = p.atomic(open + call_id_section + p.space() + *atomic_peek) + args;
matched_atomic = true;
} else {
func_parser = open + call_id_section + p.space() + args;
}
if (!function.close.empty()) {
func_parser = func_parser + p.space() + p.tool_close(p.literal(function.close));
} else if (!format.per_call_end.empty()) {
// When there's no func_close but there is a per_call_end marker, use peek() to ensure
// we only emit tool_close when we can actually see the closing marker. This prevents
// premature closing during partial parsing when we've seen e.g. "</" which could be
// either "</tool_call>" (end) or "<arg_key>" prefix that failed to match.
func_parser = func_parser + p.tool_close(p.peek(p.literal(format.per_call_end)));
} else {
func_parser = func_parser + p.tool_close(p.space()); // force this to process tool closing callbacks in mapper
}
if (!matched_atomic) {
func_parser = p.atomic(func_parser);
}
return func_parser;
return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(p.until(tool_start)))) + tools_parser +
p.end();
}
common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context & ctx) const {
auto & p = ctx.p;
const auto & inputs = ctx.inputs;
bool force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
common_peg_parser tool_choice = p.choice();
foreach_function(inputs.tools, [&](const json & tool) {
const auto & func = tool.at("function");
std::string name = func.at("name");
const auto & schema = func.contains("parameters") ? func.at("parameters") : json::object();
const auto & schema = func.at("parameters");
// Build call_id parser based on position (if supported)
bool have_call_id = false;
common_peg_parser call_id_section = p.eps();
if (call_id.pos == call_id_position::BETWEEN_FUNC_AND_ARGS && !call_id.prefix.empty() &&
(!call_id.suffix.empty() || !arguments.start.empty())) {
if (!call_id.suffix.empty()) {
call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix))) + call_id.suffix;
} else {
call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(arguments.start)));
}
have_call_id = true;
}
auto args_parser = p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema));
if (!arguments.start.empty()) {
args_parser = p.literal(arguments.start) + args_parser;
}
if (!arguments.end.empty()) {
args_parser = args_parser + p.literal(arguments.end);
!call_id.suffix.empty()) {
call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix))) + call_id.suffix;
}
auto atomic_peek = !arguments.start.empty() ? std::optional(p.peek(p.literal(arguments.start))) : std::nullopt;
auto func_parser = build_func_parser(p, name, call_id_section, have_call_id, args_parser, atomic_peek);
auto func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
call_id_section + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema));
if (!function.close.empty()) {
func_parser = func_parser + function.close;
}
tool_choice |= p.rule("tool-" + name, func_parser);
});
@@ -355,47 +286,58 @@ common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context
std::string trigger_marker = !format.section_start.empty() ? format.section_start : format.per_call_start;
auto content_before_tools = trigger_marker.empty() ? p.eps() : p.until(trigger_marker);
return ctx.reasoning_parser + p.optional(p.content(content_before_tools)) + tool_calls + p.end();
return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(content_before_tools))) + tool_calls +
p.end();
}
common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_context & ctx) const {
auto & p = ctx.p;
const auto & inputs = ctx.inputs;
auto until_suffix = p.rule("until-suffix", p.until(arguments.value_suffix));
bool force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
common_peg_parser tool_choice = p.choice();
foreach_function(inputs.tools, [&](const json & tool) {
const auto & func = tool.at("function");
std::string name = func.at("name");
auto params = func.contains("parameters") ? func.at("parameters") : json::object();
const auto & properties = params.contains("properties") ? params.at("properties") : json::object();
const auto & func = tool.at("function");
std::string name = func.at("name");
const auto & params = func.at("parameters");
std::set<std::string> required;
if (params.contains("required")) {
params.at("required").get_to(required);
if (!params.contains("properties") || !params.at("properties").is_object()) {
return;
}
auto schema_info = common_schema_info();
schema_info.resolve_refs(params);
const auto & properties = params.at("properties");
std::set<std::string> required;
if (params.contains("required") && params.at("required").is_array()) {
params.at("required").get_to(required);
}
// Build parser for each argument, separating required and optional
std::vector<common_peg_parser> required_parsers;
std::vector<common_peg_parser> optional_parsers;
for (const auto & [param_name, param_schema] : properties.items()) {
bool is_required = required.find(param_name) != required.end();
bool is_required = required.find(param_name) != required.end();
std::string type = "object";
auto type_obj = param_schema.contains("type") ? param_schema.at("type") : json::object();
if (type_obj.is_string()) {
type_obj.get_to(type);
} else if (type_obj.is_object()) {
if (type_obj.contains("type") && type_obj.at("type").is_string()) {
type_obj.at("type").get_to(type);
}
}
auto arg =
p.tool_arg(p.tool_arg_open(arguments.name_prefix + p.tool_arg_name(p.literal(param_name)) +
arguments.name_suffix) +
arguments.value_prefix +
(schema_info.resolves_to_string(param_schema) ?
p.tool_arg_string_value(until_suffix) :
p.tool_arg_json_value(p.schema(
p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, false)) +
p.space()) +
p.tool_arg_close(p.literal(arguments.value_suffix)));
auto arg = p.tool_arg(
p.tool_arg_open(arguments.name_prefix + p.tool_arg_name(p.literal(param_name)) +
arguments.name_suffix) +
arguments.value_prefix +
(type == "string" ? p.tool_arg_string_value(p.schema(p.until(arguments.value_suffix),
"tool-" + name + "-arg-" + param_name + "-schema",
param_schema, true)) :
p.tool_arg_json_value(p.schema(
p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, format.uses_python_dicts)) +
p.space()) +
p.tool_arg_close(p.literal(arguments.value_suffix)));
auto named_arg = p.rule("tool-" + name + "-arg-" + param_name, arg);
if (is_required) {
@@ -420,34 +362,53 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
for (const auto & opt : optional_parsers) {
any_opt |= opt;
}
args_seq = args_seq + p.repeat(p.space() + any_opt, 0, -1);
}
if (!arguments.start.empty()) {
args_seq = p.literal(arguments.start) + args_seq;
}
if (!arguments.end.empty()) {
args_seq = args_seq + p.literal(arguments.end);
args_seq = args_seq + p.repeat(p.space() + any_opt, 0, (int) optional_parsers.size());
}
// Build call_id parser based on position (if supported)
common_peg_parser call_id_section = p.eps();
bool have_call_id = false;
if (call_id.pos == call_id_position::BETWEEN_FUNC_AND_ARGS && !call_id.prefix.empty() &&
(!call_id.suffix.empty() || !arguments.start.empty())) {
!call_id.suffix.empty()) {
have_call_id = true;
if (!call_id.suffix.empty()) {
call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix)) + call_id.suffix);
} else {
call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(arguments.start)));
}
call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix)) + call_id.suffix);
}
bool matched_atomic = false;
common_peg_parser func_parser = p.eps();
if (!function.name_suffix.empty()) {
func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
call_id_section + p.space() + args_seq;
matched_atomic = true;
} else if (have_call_id) {
func_parser = p.atomic(p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
call_id_section) + p.space() + args_seq;
matched_atomic = true;
} else if (!arguments.name_prefix.empty() && properties.size() > 0) {
func_parser = p.atomic(p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
call_id_section + p.space() + p.peek(p.literal(arguments.name_prefix))) + args_seq;
matched_atomic = true;
} else {
func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
call_id_section + p.space() + args_seq;
}
if (!function.close.empty()) {
func_parser = func_parser + p.space() + p.tool_close(p.literal(function.close));
} else if (!format.per_call_end.empty()) {
// When there's no func_close but there is a per_call_end marker, use peek() to ensure
// we only emit tool_close when we can actually see the closing marker. This prevents
// premature closing during partial parsing when we've seen e.g. "</" which could be
// either "</tool_call>" (end) or "<arg_key>" prefix that failed to match.
func_parser = func_parser + p.tool_close(p.peek(p.literal(format.per_call_end)));
} else {
func_parser =
func_parser + p.tool_close(p.space()); // force this to process tool closing callbacks in mapper
}
if (!matched_atomic) {
func_parser = p.atomic(func_parser);
}
// Only peek for an arg tag when there are required args that must follow.
// When all args are optional, the model may emit no arg tags at all (#20650).
auto atomic_peek = (!arguments.name_prefix.empty() && !required_parsers.empty()) ?
std::optional(p.peek(p.literal(arguments.name_prefix))) : std::nullopt;
auto func_parser = build_func_parser(p, name, call_id_section, have_call_id, args_seq, atomic_peek);
tool_choice |= p.rule("tool-" + name, func_parser);
});
@@ -458,14 +419,14 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
if (!format.per_call_start.empty()) {
auto wrapped_call = format.per_call_start + p.space() + tool_choice + p.space() + format.per_call_end;
if (inputs.parallel_tool_calls) {
tool_calls = p.trigger_rule("tool-call", wrapped_call + p.zero_or_more(p.space() + wrapped_call) + p.space());
tool_calls = p.trigger_rule("tool-call", wrapped_call + p.zero_or_more(p.space() + wrapped_call));
} else {
tool_calls = p.trigger_rule("tool-call", wrapped_call + p.space());
tool_calls = p.trigger_rule("tool-call", wrapped_call);
}
if (!format.section_start.empty()) {
tool_calls = p.trigger_rule("tool-calls",
p.literal(format.section_start) + p.space() + tool_calls + p.space() +
(format.section_end.empty() ? p.end() : p.literal(format.section_end) + p.space()));
(format.section_end.empty() ? p.end() : p.literal(format.section_end)));
}
} else {
std::string separator = ", "; // Default
@@ -486,7 +447,8 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
std::string trigger_marker = !format.section_start.empty() ? format.section_start : format.per_call_start;
auto content_before_tools = trigger_marker.empty() ? p.eps() : p.until(trigger_marker);
return ctx.reasoning_parser + p.optional(p.content(content_before_tools)) + tool_calls + p.end();
return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(content_before_tools))) + tool_calls +
p.end();
}
} // namespace autoparser

View File

@@ -1,11 +1,9 @@
#include "chat-auto-parser-helpers.h"
#include "chat-auto-parser.h"
#include "chat-peg-parser.h"
#include "chat.h"
#include "log.h"
#include "nlohmann/json.hpp"
#include "peg-parser.h"
#include <cctype>
#include <numeric>
@@ -188,21 +186,6 @@ diff_split calculate_diff_split(const std::string & left, const std::string & ri
result.suffix = "";
// pick prefix = all as representation
}
// When left has no unique content (result.left is empty), left is entirely
// shared with right. The simultaneous prefix/suffix segment matching can
// incorrectly consume trailing segments of left as suffix when those same
// segments also appear at the end of right (e.g. "\n" at the end of both
// the shared content and the generation prompt). This rotates the diff.
// Fix: if left is a prefix of right, enforce that directly.
if (result.left.empty() && !result.right.empty() &&
left.size() <= right.size() &&
right.substr(0, left.size()) == left) {
result.prefix = left;
result.suffix = "";
result.right = right.substr(left.size());
}
return result;
}
@@ -310,10 +293,8 @@ std::vector<segment> prune_whitespace_segments(const std::vector<segment> & segm
namespace autoparser {
static const std::string ERR_TMPL = "#**ERROR**#";
std::string apply_template(const common_chat_template & tmpl, const template_params & params) {
generation_params tmpl_params;
templates_params tmpl_params;
tmpl_params.messages = params.messages;
tmpl_params.tools = params.tools;
tmpl_params.add_generation_prompt = params.add_generation_prompt;
@@ -328,7 +309,7 @@ std::string apply_template(const common_chat_template & tmpl, const template_par
return common_chat_template_direct_apply(tmpl, tmpl_params);
} catch (const std::exception & e) {
LOG_DBG("Template application failed: %s\n", e.what());
return ERR_TMPL;
return "";
}
}
@@ -349,7 +330,7 @@ std::optional<compare_variants_result> compare_variants(
std::string output_B = apply_template(tmpl, params_B);
// Check for template application failures
if (output_A == ERR_TMPL || output_B == ERR_TMPL) {
if (output_A.empty() || output_B.empty()) {
return std::nullopt;
}

View File

@@ -1,7 +1,6 @@
#pragma once
#include "chat-auto-parser.h"
#include <functional>
#include <optional>
#include <string>

View File

@@ -4,7 +4,6 @@
#include "common.h"
#include "jinja/caps.h"
#include "peg-parser.h"
#include "nlohmann/json.hpp"
#include <chrono>
#include <optional>
@@ -51,7 +50,7 @@ namespace autoparser {
// High-level params for parser generation
// ============================================================================
struct generation_params {
struct templates_params {
json messages;
json tools;
common_chat_tool_choice tool_choice = COMMON_CHAT_TOOL_CHOICE_AUTO;
@@ -60,21 +59,15 @@ struct generation_params {
common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_AUTO;
bool stream = true;
std::string grammar;
bool add_generation_prompt = false;
common_chat_continuation continue_final_message = COMMON_CHAT_CONTINUATION_NONE;
common_chat_msg continue_msg;
bool enable_thinking = true;
std::chrono::system_clock::time_point now = std::chrono::system_clock::now();
bool add_generation_prompt = false;
bool enable_thinking = true;
std::chrono::system_clock::time_point now = std::chrono::system_clock::now();
json extra_context;
bool add_bos = false;
bool add_eos = false;
bool is_inference = true;
bool add_inference = false;
bool mark_input = true; // whether to mark input strings in the jinja context
bool has_continuation() const {
return continue_final_message != COMMON_CHAT_CONTINUATION_NONE && !continue_msg.empty();
}
};
// ============================================================================
@@ -84,7 +77,11 @@ struct generation_params {
// Reasoning handling mode (derived from R1-R3 comparisons)
enum class reasoning_mode {
NONE, // No reasoning markers detected
TAG_BASED, // Tag-based: <think>...</think> (start can be empty for delimiter-style)
TAG_BASED, // Standard tag-based: <think>...</think>
DELIMITER, // Delimiter-based: [BEGIN FINAL RESPONSE] (reasoning ends at delimiter)
FORCED_OPEN, // Template ends with open reasoning tag (empty start, non-empty end)
FORCED_CLOSED, // Template ends with open reasoning tag on enabled thinking but
// with both opened and closed tag for disabled thinking
TOOLS_ONLY // Only reason on tool calls, not on normal content
};
@@ -94,6 +91,12 @@ inline std::ostream & operator<<(std::ostream & os, const reasoning_mode & mode)
return os << "NONE";
case reasoning_mode::TAG_BASED:
return os << "TAG_BASED";
case reasoning_mode::DELIMITER:
return os << "DELIMITER";
case reasoning_mode::FORCED_OPEN:
return os << "FORCED_OPEN";
case reasoning_mode::FORCED_CLOSED:
return os << "FORCED_CLOSED";
case reasoning_mode::TOOLS_ONLY:
return os << "TOOLS_ONLY";
default:
@@ -181,6 +184,7 @@ struct tool_format_analysis {
bool fun_name_is_key = false; // In JSON format function name is JSON key, i.e. { "<funname>": { ... arguments ... } }
bool tools_array_wrapped = false; // Tool calls wrapped in JSON array [...]
bool uses_python_dicts = false; // Tool call args use Python dict format (single-quoted strings)
std::string function_field = "function";
std::string name_field = "name";
@@ -218,17 +222,15 @@ struct tool_id_analysis {
// ============================================================================
struct analyze_content;
struct analyze_reasoning;
struct parser_build_context {
common_chat_peg_builder & p;
const generation_params & inputs;
const templates_params & inputs;
common_peg_parser reasoning_parser;
bool extracting_reasoning = false;
const analyze_reasoning * reasoning = nullptr;
const analyze_content * content = nullptr;
parser_build_context(common_chat_peg_builder & p, const generation_params & inputs);
parser_build_context(common_chat_peg_builder & p, const templates_params & inputs);
};
// ============================================================================
@@ -258,7 +260,6 @@ struct analyze_reasoning : analyze_base {
analyze_reasoning() = default;
analyze_reasoning(const common_chat_template & tmpl, bool supports_tools);
analyze_reasoning(std::string start_, std::string end_) : start(std::move(start_)), end(std::move(end_)) {}
common_peg_parser build_parser(parser_build_context & ctx) const override;
@@ -313,23 +314,19 @@ struct analyze_tools : analyze_base {
private:
// Extract tool calling 'haystack' for further analysis and delegate further analysis based on format
void analyze_tool_calls(const analyze_reasoning & reasoning, bool supports_parallel_tool_calls);
void analyze_tool_calls(const analyze_reasoning & reasoning);
// Analyze format based on position of function and argument name in needle
void analyze_tool_call_format(const std::string & haystack,
const std::string & fun_name_needle,
const std::string & arg_name_needle,
const analyze_reasoning & reasoning,
bool supports_parallel_tool_calls);
const analyze_reasoning & reasoning);
// Analyze specifics of JSON native format (entire tool call is a JSON object)
void analyze_tool_call_format_json_native(const std::string & clean_haystack,
const std::string & fun_name_needle,
const std::string & arg_name_needle);
// Check if parallel calls in JSON native format array wrapped or tag wrapped
void analyze_json_native_parallel_calls();
// Analyze specifics of non-JSON native format (tags for function name or for function name and arguments)
void analyze_tool_call_format_non_json(const std::string & clean_haystack,
const std::string & fun_name_needle);
@@ -362,13 +359,6 @@ struct analyze_tools : analyze_base {
common_peg_parser build_tool_parser_json_native(parser_build_context & ctx) const;
common_peg_parser build_tool_parser_tag_json(parser_build_context & ctx) const;
common_peg_parser build_tool_parser_tag_tagged(parser_build_context & ctx) const;
// Shared helper: builds func_parser from open+call_id+args, handling atomic wrapping and close.
// atomic_peek: if present, used as the peek expression in the third atomicity branch.
common_peg_parser build_func_parser(common_chat_peg_builder & p, const std::string & name,
const common_peg_parser & call_id_section, bool have_call_id,
const common_peg_parser & args,
std::optional<common_peg_parser> atomic_peek) const;
};
// ============================================================================
@@ -377,8 +367,6 @@ struct analyze_tools : analyze_base {
struct autoparser {
jinja::caps jinja_caps;
std::string user_start;
std::string assistant_start;
analyze_reasoning reasoning;
analyze_content content;
analyze_tools tools;
@@ -389,15 +377,11 @@ struct autoparser {
autoparser() = default;
// Find the starting marker for the user message and assistant message
std::string detect_user_start_marker(const common_chat_template & tmpl);
std::string detect_assistant_start_marker(const common_chat_template & tmpl);
// Run full differential analysis on a template
void analyze_template(const common_chat_template & tmpl);
// Build the PEG parser for this template
common_peg_arena build_parser(const generation_params & inputs, const std::string & generation_prompt) const;
common_peg_arena build_parser(const templates_params & inputs) const;
private:
// Collect tokens from entire analysis to preserve
@@ -411,10 +395,10 @@ struct autoparser {
class peg_generator {
public:
static common_chat_params generate_parser(const common_chat_template & tmpl,
const struct generation_params & inputs);
const struct templates_params & inputs);
static common_chat_params generate_parser(const common_chat_template & tmpl,
const struct generation_params & inputs,
const struct templates_params & inputs,
const autoparser & autoparser);
};

View File

@@ -2,15 +2,11 @@
#include "chat-auto-parser-helpers.h"
#include "chat-peg-parser.h"
#include "chat.h"
#include "common.h"
#include "log.h"
#include "nlohmann/json.hpp"
#include "peg-parser.h"
#include <algorithm>
#include <cctype>
#include <ostream>
#include <sstream>
#define ANSI_RESET "\033[0m"
#define ANSI_PURPLE "\033[1m\x1b[38;5;126m"
@@ -26,12 +22,8 @@ static const std::string FUN_SECOND = "SSS_SECOND_FUN_S";
static const std::string ARG_FIRST = "AA_ARG_FST_AA";
static const std::string ARG_SECOND = "BB_ARG_SND_BB";
static const std::string USER_MSG = "U_USER_MSG Hello END_U";
static const std::string USER_MSG_TWO = "V_USER_MSG Hello END_V";
static const std::string ASSISTANT_MSG = "A_ASST_MSG I can help END_A";
static const std::string THINKING_CONTENT = "REASON_PART I am thinking END_R";
static const std::string CALL_ID_001 = "call00001";
static const std::string CALL_ID_002 = "call00002";
static const std::string CALL_ID_999 = "call99999";
static std::vector<std::function<void(const common_chat_template & tmpl, autoparser &)>> workarounds(
{ // Old reasoning Qwen templates - they don't really display reasoning content, but we still want to
@@ -39,9 +31,8 @@ static std::vector<std::function<void(const common_chat_template & tmpl, autopar
[](const common_chat_template & tmpl, autoparser & analysis) -> void {
if (tmpl.src.find("content.split('</think>')") != std::string::npos &&
tmpl.src.find("reasoning_content") == std::string::npos &&
tmpl.src.find("<SPECIAL_12>") == std::string::npos &&
analysis.reasoning.mode == reasoning_mode::NONE) {
analysis.reasoning.mode = reasoning_mode::TAG_BASED;
analysis.reasoning.mode = reasoning_mode::FORCED_OPEN;
analysis.reasoning.start = "<think>";
analysis.reasoning.end = "</think>";
analysis.preserved_tokens.push_back("<think>");
@@ -75,7 +66,6 @@ static std::vector<std::function<void(const common_chat_template & tmpl, autopar
analysis.content.end = "<|END_OF_TURN_TOKEN|>";
analysis.preserved_tokens.push_back("<|CHATBOT_TOKEN|>");
analysis.preserved_tokens.push_back("<|END_OF_TURN_TOKEN|>");
analysis.user_start = "<|START_OF_TURN_TOKEN|><|USER_TOKEN|>";
LOG_DBG(ANSI_ORANGE "[Patch: Cohere Command R+]\n" ANSI_RESET);
}
},
@@ -111,61 +101,8 @@ static std::vector<std::function<void(const common_chat_template & tmpl, autopar
analysis.tools.function.name_prefix = "<tool▁sep>";
analysis.tools.format.per_call_end = "<tool▁call▁end>";
analysis.tools.function.close = "```";
LOG_DBG(ANSI_ORANGE "[Patch: DeepSeek-R1-Distill-Qwen]\n" ANSI_RESET);
}
},
// Nemotron Nano v2
[](const common_chat_template & tmpl, autoparser & analysis) -> void {
if (tmpl.src.find("<SPECIAL_10>") != std::string::npos && tmpl.src.find("<SPECIAL_11>") != std::string::npos &&
tmpl.src.find("<SPECIAL_12>") != std::string::npos && tmpl.src.find("<TOOL_RESPONSE>") != std::string::npos) {
analysis.tools.format.mode = tool_format::JSON_NATIVE;
analysis.tools.format.section_start = "";
analysis.tools.format.section_end = "";
analysis.tools.format.per_call_start = "<TOOLCALL>";
analysis.tools.format.per_call_end = "</TOOLCALL>";
analysis.content.mode = content_mode::PLAIN;
analysis.content.start = "";
analysis.content.end = "";
analysis.reasoning.mode = reasoning_mode::TAG_BASED;
analysis.reasoning.start = "<think>\n\n";
analysis.reasoning.end = "</think>";
analysis.assistant_start = "<SPECIAL_11>Assistant";
analysis.user_start = "<SPECIAL_11>User";
analysis.preserved_tokens.clear();
analysis.preserved_tokens.push_back("<SPECIAL_12>");
analysis.preserved_tokens.push_back("<SPECIAL_11>");
analysis.preserved_tokens.push_back("</think>");
analysis.preserved_tokens.push_back("<TOOLCALL>");
analysis.preserved_tokens.push_back("</TOOLCALL>");
LOG_DBG(ANSI_ORANGE "[Patch: Nemotron Nano v2]\n" ANSI_RESET);
}
},
// Fireworks
[](const common_chat_template & tmpl, autoparser & analysis) -> void {
if (tmpl.src.find("{%- set system_prompt = '<|start_header_id|>' + 'system' + '<|end_header_id|>\\n\\n'"
" + message['content'] | trim + '\\n' + system_prompt_suffix + '<|eot_id|>' -%}") != std::string::npos) {
analysis.assistant_start = "<|start_header_id|>assistant<|end_header_id|>";
analysis.user_start = "<|start_header_id|>user<|end_header_id|>";
LOG_DBG(ANSI_ORANGE "[Patch: Fireworks v2]\n" ANSI_RESET);
}
},
// Solar Open
[](const common_chat_template & tmpl, autoparser & analysis) -> void {
if (tmpl.src.find("<|begin|>assistant<|think|><|end|>") != std::string::npos) {
analysis.assistant_start = "<|begin|>assistant";
LOG_DBG(ANSI_ORANGE "[Patch: Solar Open]\n" ANSI_RESET);
}
},
// Apriel 1.6
[](const common_chat_template & tmpl, autoparser & analysis) -> void {
if (tmpl.src.find("if not loop.last and '[BEGIN FINAL RESPONSE]' in asst_text") != std::string::npos) {
analysis.user_start = "<|begin_user|>";
analysis.assistant_start = "<|begin_assistant|>";
LOG_DBG(ANSI_ORANGE "[Patch: Apriel 1.6]\n" ANSI_RESET);
}
},
}
});
// Common JSON structures
@@ -191,7 +128,7 @@ static json user_msg = json{
{ "content", USER_MSG }
};
static json build_tool_call(const std::string & name, const json & args, const std::string & id = CALL_ID_001) {
static json build_tool_call(const std::string & name, const json & args, const std::string & id = "call00001") {
return json{
{ "id", id },
{ "type", "function" },
@@ -199,17 +136,17 @@ static json build_tool_call(const std::string & name, const json & args, const s
};
}
static json first_tool_call_zero_args = build_tool_call(FUN_FIRST, json::object(), CALL_ID_001);
static json first_tool_call_one_arg = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "XXXX" }}, CALL_ID_001);
static json first_tool_call_one_arg_other_val = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "YYYY" }}, CALL_ID_001);
static json first_tool_call_other_arg = build_tool_call(FUN_FIRST, {{ ARG_SECOND, "YYYY" }}, CALL_ID_001);
static json first_tool_call_zero_args = build_tool_call(FUN_FIRST, json::object(), "call00001");
static json first_tool_call_one_arg = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "XXXX" }}, "call00001");
static json first_tool_call_one_arg_other_val = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "YYYY" }}, "call00001");
static json first_tool_call_other_arg = build_tool_call(FUN_FIRST, {{ ARG_SECOND, "YYYY" }}, "call00001");
static json first_tool_call =
build_tool_call(FUN_FIRST, json{{ ARG_FIRST, "XXXX" }, { ARG_SECOND, "YYYY" }}, CALL_ID_001);
build_tool_call(FUN_FIRST, json{{ ARG_FIRST, "XXXX" }, { ARG_SECOND, "YYYY" }}, "call00001");
static json second_tool_call =
build_tool_call(FUN_SECOND, json{ { ARG_FIRST, "XXXX" }, { ARG_SECOND, "YYYY" }}, CALL_ID_002);
build_tool_call(FUN_SECOND, json{ { ARG_FIRST, "XXXX" }, { ARG_SECOND, "YYYY" }}, "call00002");
static json first_tool_call_alt_id =
build_tool_call(FUN_FIRST, json{{ ARG_FIRST, "XXXX" }, { ARG_SECOND, "YYYY" }}, CALL_ID_999);
build_tool_call(FUN_FIRST, json{{ ARG_FIRST, "XXXX" }, { ARG_SECOND, "YYYY" }}, "call99999");
template <typename T>
static std::string mode_to_str(T mode) {
@@ -223,8 +160,6 @@ void autoparser::analyze_template(const common_chat_template & tmpl) {
reasoning = analyze_reasoning(tmpl, jinja_caps.supports_tool_calls);
content = analyze_content(tmpl, reasoning);
tools = analyze_tools(jinja_caps.supports_tool_calls ? analyze_tools(tmpl, jinja_caps, reasoning) : analyze_tools());
assistant_start = detect_assistant_start_marker(tmpl);
user_start = detect_user_start_marker(tmpl);
collect_preserved_tokens();
for (auto & workaround : workarounds) {
@@ -232,8 +167,6 @@ void autoparser::analyze_template(const common_chat_template & tmpl) {
}
LOG_DBG("\n--- Reasoning & Content Structure ---\n");
LOG_DBG("user_msg_start: %s\n", user_start.c_str());
LOG_DBG("assistant_msg_start: %s\n", assistant_start.c_str());
LOG_DBG("reasoning_mode: %s\n", mode_to_str(reasoning.mode).c_str());
LOG_DBG("reasoning_start: '%s'\n", reasoning.start.c_str());
LOG_DBG("reasoning_end: '%s'\n", reasoning.end.c_str());
@@ -252,11 +185,7 @@ void autoparser::analyze_template(const common_chat_template & tmpl) {
LOG_DBG("func_name_prefix: '%s'\n", tools.function.name_prefix.c_str());
LOG_DBG("func_name_suffix: '%s'\n", tools.function.name_suffix.c_str());
LOG_DBG("func_close: '%s'\n", tools.function.close.c_str());
LOG_DBG("call_id_prefix: '%s'\n", tools.call_id.prefix.c_str());
LOG_DBG("call_id_suffix: '%s'\n", tools.call_id.suffix.c_str());
LOG_DBG("call_id_pos: '%s'\n", mode_to_str(tools.call_id.pos).c_str());
LOG_DBG("args_start: '%s'\n", tools.arguments.start.c_str());
LOG_DBG("args_end: '%s'\n", tools.arguments.end.c_str());
LOG_DBG("python_dict_format: %s\n", tools.format.uses_python_dicts ? "true" : "false");
LOG_DBG("arg_name_prefix: '%s'\n", tools.arguments.name_prefix.c_str());
LOG_DBG("arg_name_suffix: '%s'\n", tools.arguments.name_suffix.c_str());
LOG_DBG("arg_value_prefix: '%s'\n", tools.arguments.value_prefix.c_str());
@@ -306,120 +235,6 @@ void autoparser::collect_preserved_tokens() {
add_token(tools.call_id.suffix);
}
std::string autoparser::detect_assistant_start_marker(const common_chat_template & tmpl) {
json user_msg = json{
{ "role", "user" },
{ "content", USER_MSG }
};
json assistant_no_reasoning = json{
{ "role", "assistant" },
{ "content", ASSISTANT_MSG }
};
template_params params;
params.messages = json::array({ user_msg });
params.add_generation_prompt = false;
params.enable_thinking = true;
auto comparison = compare_variants(
tmpl, params, [&](template_params & p) {
p.messages = json::array({ user_msg, assistant_no_reasoning });
}
);
if (!comparison) {
LOG_DBG(ANSI_ORANGE "%s: Template application failed, skipping assistant start detection\n" ANSI_RESET, __func__);
return "";
}
auto usermsg = comparison->diff.right;
if (usermsg.find(ASSISTANT_MSG) == std::string::npos) {
LOG_DBG(ANSI_ORANGE "%s: Did not find assistant message in assistant message block, skipping detection\n" ANSI_RESET, __func__);
}
auto ast_prefix = usermsg.substr(0, usermsg.find(ASSISTANT_MSG));
if (!reasoning.start.empty() && ast_prefix.find(trim_whitespace(reasoning.start)) != std::string::npos) {
ast_prefix = ast_prefix.substr(0, ast_prefix.find(trim_whitespace(reasoning.start)));
}
if (!reasoning.end.empty() && ast_prefix.find(trim_whitespace(reasoning.end)) != std::string::npos) {
ast_prefix = ast_prefix.substr(0, ast_prefix.find(trim_whitespace(reasoning.end)));
}
return trim_whitespace(ast_prefix);
}
std::string autoparser::detect_user_start_marker(const common_chat_template & tmpl) {
json user_msg = json{
{ "role", "user" },
{ "content", USER_MSG }
};
json assistant = json{
{ "role", "assistant" },
{ "content", ASSISTANT_MSG }
};
json user_msg_two = json{
{ "role", "user" },
{ "content", USER_MSG_TWO }
};
template_params params;
params.messages = json::array({});
params.add_generation_prompt = false;
params.enable_thinking = true;
auto comparison = compare_variants(
tmpl, params, [&](template_params & p) {
p.messages = json::array({ user_msg });
}
);
if (!comparison) {
LOG_DBG(ANSI_ORANGE "%s: Template application failed, unsupported empty messages? trying complex variant\n" ANSI_RESET, __func__);
params.messages = json::array({ user_msg_two, assistant });
comparison = compare_variants(
tmpl, params, [&](template_params & p) {
p.messages = json::array({ user_msg_two, assistant, user_msg });
}
);
if (!comparison) {
LOG_DBG(ANSI_ORANGE "%s: Template application failed for reserve variant, aborting\n" ANSI_RESET, __func__);
return "";
}
}
auto usermsg = comparison->diff.right;
if (usermsg.find(USER_MSG) == std::string::npos) {
LOG_DBG(ANSI_ORANGE "%s: Did not find user message in user message block, aborting detection\n" ANSI_RESET, __func__);
}
if (usermsg.find(ASSISTANT_MSG) != std::string::npos) {
usermsg = usermsg.substr(usermsg.find(ASSISTANT_MSG) + ASSISTANT_MSG.size());
}
auto candidate = usermsg.substr(0, usermsg.find(USER_MSG));
auto candidate_split = segmentize_markers(candidate);
std::stringstream result;
bool encountered_marker = false;
for (const auto & mrk : candidate_split) {
std::string lower_mrk = std::string(mrk.value);
std::transform(lower_mrk.begin(), lower_mrk.end(), lower_mrk.begin(),
[](unsigned char c) { return std::tolower(c); });
// heuristic to weed out potential end markers, but only at the start
if (mrk.type == segment_type::MARKER && !encountered_marker &&
(lower_mrk.find("end") != std::string::npos || lower_mrk.find("close") != std::string::npos)) {
continue;
}
if (mrk.type == segment_type::TEXT && !encountered_marker && trim_whitespace(mrk.value).empty()) {
continue;
}
encountered_marker |= mrk.type == segment_type::MARKER;
result << mrk.value;
}
return trim_whitespace(result.str());
}
analyze_reasoning::analyze_reasoning(const common_chat_template & tmpl, bool supports_tools)
: analyze_base(tmpl) {
LOG_DBG(ANSI_PURPLE "=== Starting differential analysis ===\n" ANSI_RESET);
@@ -471,7 +286,7 @@ void analyze_reasoning::compare_reasoning_presence() {
return p.literal(reasoning_content) + p.space() + p.optional(p.tag("post", (p.marker() + p.space())) + p.rest());
});
auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
return p.tag("pre", p.marker() + p.space()) + p.literal(reasoning_content) + p.tag("post", (p.space() + p.marker() + p.space())) + p.rest();
return p.tag("pre", p.marker()) + p.space() + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest();
});
// try the more aggressive parse first, if it fails, fall back to the delimiter one
auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B);
@@ -480,11 +295,15 @@ void analyze_reasoning::compare_reasoning_presence() {
}
if (result.result.success()) {
if (!result.tags["pre"].empty() && !result.tags["post"].empty()) {
mode = reasoning_mode::TAG_BASED;
start = result.tags["pre"];
if (parser_wrapped.parse_anywhere_and_extract(diff.right).result.success()) { // both tags in the diff = no forced close
mode = reasoning_mode::TAG_BASED;
} else {
mode = reasoning_mode::FORCED_CLOSED;
}
start = trim_whitespace(result.tags["pre"]);
end = result.tags["post"];
} else if (!result.tags["post"].empty()) {
mode = reasoning_mode::TAG_BASED;
mode = reasoning_mode::DELIMITER;
end = result.tags["post"];
}
}
@@ -512,66 +331,53 @@ void analyze_reasoning::compare_thinking_enabled() {
const auto & diff = comparison->diff;
std::string left_trimmed = trim_whitespace(diff.left);
std::string right_trimmed = trim_whitespace(diff.right);
if (left_trimmed.empty() && !diff.right.empty()) {
std::string right_trimmed = trim_whitespace(diff.right);
if (!right_trimmed.empty() && string_ends_with(comparison->output_B, right_trimmed)) {
if (start.empty()) {
start = diff.right;
mode = reasoning_mode::TAG_BASED;
}
}
} else if (right_trimmed.empty() && !diff.left.empty()) {
if (!left_trimmed.empty() && string_ends_with(comparison->output_A, left_trimmed)) {
if (end.empty()) {
auto seg = prune_whitespace_segments(segmentize_markers(comparison->output_A));
if (seg.size() >= 2 && seg[seg.size() - 1].value == left_trimmed && seg[seg.size() - 2].type == segment_type::MARKER) {
start = seg[seg.size() - 2].value;
}
end = diff.left;
mode = reasoning_mode::TAG_BASED;
}
}
} else if (!left_trimmed.empty() && !right_trimmed.empty()) {
// Full-output diff is noisy (e.g., SmolLM3 changes the system message when enable_thinking flips).
// Try to find reasoning markers by tail-anchoring:
// one output's generation prompt tail may appear in the other with extra reasoning markers appended.
const auto & output_A = comparison->output_A;
const auto & output_B = comparison->output_B;
const size_t anchor_len = 64;
for (int dir = 0; dir < 2; dir++) {
const auto & base = dir == 0 ? output_B : output_A;
const auto & extended = dir == 0 ? output_A : output_B;
size_t len = std::min(base.size(), anchor_len);
std::string anchor = base.substr(base.size() - len);
auto pos = extended.rfind(anchor);
if (pos == std::string::npos || pos + len >= extended.size()) {
continue;
}
std::string extra = trim_whitespace(extended.substr(pos + len));
if (extra.empty()) {
continue;
}
auto seg = prune_whitespace_segments(segmentize_markers(extra));
if (seg.size() == 2 && seg[0].type == segment_type::MARKER && seg[1].type == segment_type::MARKER) {
if (start.empty()) {
start = seg[0].value;
}
if (end.empty()) {
end = seg[1].value;
}
mode = reasoning_mode::TAG_BASED;
break;
start = right_trimmed;
mode = reasoning_mode::FORCED_OPEN;
}
}
}
if (mode == reasoning_mode::NONE && start.empty() && !end.empty()) {
mode = reasoning_mode::TAG_BASED;
if (start.empty() && !end.empty()) {
mode = reasoning_mode::DELIMITER;
}
// Check for FORCED_CLOSED: when enable_thinking=false produces both start and end markers,
// but enable_thinking=true produces only the start marker
if (!comparison->output_A.empty() && !comparison->output_B.empty()) {
auto parser_start = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
return p.literal(start) + p.space() + p.literal(end) + p.rest();
});
auto parser_start_end = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
return p.tag("pre", p.literal(start)) + p.space() + p.negate(p.literal(end)) + p.rest();
});
if (!start.empty() && parser_start_end.parse_anywhere_and_extract(comparison->output_A).result.success() &&
parser_start.parse_anywhere_and_extract(comparison->output_B).result.success()) {
mode = reasoning_mode::FORCED_CLOSED;
} else if (!end.empty()) { // we extract the starting marker now since we didn't get it earlier
auto result = parser_start_end.parse_anywhere_and_extract(comparison->output_A);
if (result.result.success()) {
start = result.tags["pre"];
mode = reasoning_mode::FORCED_CLOSED;
}
}
}
if (start.empty() && end.empty()) { // we might still have the case of "just open" and "just close"
if (!diff.left.empty() && !diff.right.empty()) {
auto seg_A = segmentize_markers(trim_trailing_whitespace(diff.left));
auto seg_B = segmentize_markers(trim_trailing_whitespace(diff.right));
if (seg_A.size() == 1 && seg_B.size() == 1) {
mode = reasoning_mode::FORCED_CLOSED;
start = seg_B[0].value;
end = seg_A[0].value;
}
}
}
}
@@ -615,7 +421,7 @@ void analyze_reasoning::compare_reasoning_scope() {
LOG_DBG(ANSI_ORANGE "%s: Detected TOOLS_ONLY reasoning mode\n" ANSI_RESET, __func__);
auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
return p.tag("pre", p.marker() + p.space()) + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space()));
return p.tag("pre", p.marker()) + p.space() + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space()));
});
auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B);
if (result.result.success()) {
@@ -629,7 +435,7 @@ void analyze_reasoning::compare_reasoning_scope() {
if (result.result.success()) {
end = result.tags["post"];
} else {
LOG_DBG(ANSI_ORANGE "%s: Unable to extract reasoning markers, falling back to reasoning = NONE\n" ANSI_RESET, __func__);
LOG_DBG(ANSI_ORANGE "%s: Unable to extracft reasoning markers, falling back to reasoning = NONE\n" ANSI_RESET, __func__);
mode = reasoning_mode::NONE;
}
}
@@ -708,7 +514,7 @@ analyze_content::analyze_content(const common_chat_template & tmpl, const analyz
// Take the more promising diff
std::string pure_content = rdiff.length() > diff_tools.left.length() ? rdiff : diff_tools.left;
auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
return p.tag("pre", p.marker() + p.space()) + p.literal(response) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest();
return p.tag("pre", p.marker()) + p.space() + p.literal(response) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest();
});
auto result = parser_wrapped.parse_anywhere_and_extract(pure_content);
start = result.tags["pre"];
@@ -733,26 +539,23 @@ analyze_tools::analyze_tools(const common_chat_template & tmpl,
: analyze_base(tmpl) {
LOG_DBG(ANSI_ORANGE "Phase 3: Tool call analysis\n" ANSI_RESET);
analyze_tool_calls(reasoning, caps.supports_parallel_tool_calls);
analyze_tool_calls(reasoning);
if (format.mode != tool_format::NONE && format.mode != tool_format::JSON_NATIVE) {
if (caps.supports_parallel_tool_calls) {
check_per_call_markers();
}
LOG_DBG(ANSI_ORANGE "Phase 3a: Function call analysis\n" ANSI_RESET);
extract_function_markers();
LOG_DBG(ANSI_ORANGE "Phase 3b: Argument analysis\n" ANSI_RESET);
if (format.mode == tool_format::TAG_WITH_TAGGED) {
analyze_arguments();
}
extract_argument_separator();
extract_args_markers();
LOG_DBG(ANSI_ORANGE "Phase 3c: Call id analysis\n" ANSI_RESET);
extract_call_id_markers();
}
}
void analyze_tools::analyze_tool_calls(const analyze_reasoning & reasoning, bool supports_parallel_tool_calls) {
void analyze_tools::analyze_tool_calls(const analyze_reasoning & reasoning) {
json assistant_no_tools = json{
{ "role", "assistant" },
{ "content", ASSISTANT_MSG }
@@ -786,35 +589,44 @@ void analyze_tools::analyze_tool_calls(const analyze_reasoning & reasoning, bool
return;
}
analyze_tool_call_format(tool_section, FUN_FIRST, ARG_FIRST, reasoning, supports_parallel_tool_calls);
analyze_tool_call_format(tool_section, FUN_FIRST, ARG_FIRST, reasoning);
}
void analyze_tools::analyze_tool_call_format(const std::string & haystack,
const std::string & fun_name_needle,
const std::string & arg_name_needle,
const analyze_reasoning & reasoning,
bool supports_parallel_tool_calls) {
const analyze_reasoning & reasoning) {
if (fun_name_needle.empty() || arg_name_needle.empty() || haystack.empty()) {
return;
}
auto in_json_haystack = [&haystack](const std::string & needle) -> bool {
enum class json_quote_style { NONE, DOUBLE_QUOTES, SINGLE_QUOTES };
auto in_json_haystack = [&haystack](const std::string & needle) -> json_quote_style {
auto parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
return p.choice({ p.literal("{"), p.literal(":") }) << p.choice({
p.tag("sq", p.literal("'") + p.literal(needle) + p.literal("'")),
p.tag("dq", p.literal("\"") + p.literal(needle) + p.literal("\"")) });
});
auto result = parser.parse_anywhere_and_extract(haystack);
return result.result.success();
if (!result.result.success()) {
return json_quote_style::NONE;
}
return result.tags.count("sq") && !result.tags["sq"].empty()
? json_quote_style::SINGLE_QUOTES
: json_quote_style::DOUBLE_QUOTES;
};
auto fun_quote = in_json_haystack(fun_name_needle);
auto arg_quote = in_json_haystack(arg_name_needle);
if (fun_quote) {
if (fun_quote != json_quote_style::NONE) {
// no need to check further, we're in JSON land
format.mode = tool_format::JSON_NATIVE;
} else if (arg_quote) {
format.uses_python_dicts = (fun_quote == json_quote_style::SINGLE_QUOTES);
} else if (arg_quote != json_quote_style::NONE) {
format.mode = tool_format::TAG_WITH_JSON;
format.uses_python_dicts = (arg_quote == json_quote_style::SINGLE_QUOTES);
} else {
format.mode = tool_format::TAG_WITH_TAGGED;
}
@@ -836,9 +648,6 @@ void analyze_tools::analyze_tool_call_format(const std::string & haystack,
if (format.mode == tool_format::JSON_NATIVE) {
analyze_tool_call_format_json_native(clean_haystack, fun_name_needle, arg_name_needle);
if (supports_parallel_tool_calls) {
analyze_json_native_parallel_calls();
}
} else {
analyze_tool_call_format_non_json(clean_haystack, fun_name_needle);
}
@@ -847,42 +656,6 @@ void analyze_tools::analyze_tool_call_format(const std::string & haystack,
format.per_call_end = trim_whitespace(format.per_call_end);
}
void analyze_tools::analyze_json_native_parallel_calls() {
json assistant_one_tool = json{
{ "role", "assistant" },
{ "content", "" },
{ "tool_calls", json::array({ first_tool_call }) }
};
json assistant_two_tools = json{
{ "role", "assistant" },
{ "content", "" },
{ "tool_calls", json::array({ first_tool_call, second_tool_call }) }
};
template_params params;
params.messages = json::array({ user_msg, assistant_one_tool });
params.tools = tools;
params.add_generation_prompt = false;
params.enable_thinking = true;
auto comparison = compare_variants(
*tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_two_tools }); });
if (!comparison) {
LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__);
return;
}
std::string & second_call = comparison->diff.right;
if (!format.section_start.empty() && second_call.find(format.section_start) != std::string::npos) {
format.per_call_start = format.section_start;
format.per_call_end = format.section_end;
format.section_start.clear();
format.section_end.clear();
}
}
void analyze_tools::analyze_tool_call_format_json_native(const std::string & clean_haystack,
const std::string & fun_name_needle,
const std::string & arg_name_needle) {
@@ -1178,6 +951,8 @@ void analyze_tools::extract_function_markers() {
}
void analyze_tools::analyze_arguments() {
LOG_DBG(ANSI_ORANGE "Phase 4: Argument analysis\n" ANSI_RESET);
extract_argument_name_markers();
extract_argument_value_markers();
}
@@ -1386,7 +1161,7 @@ void analyze_tools::extract_args_markers() {
const auto & diff = comparison->diff;
if (format.mode == tool_format::JSON_NATIVE) {
if (format.mode != tool_format::JSON_NATIVE) {
std::string prefix_marker = !format.section_start.empty() ? format.section_start : format.per_call_start;
std::string suffix_marker = !format.section_end.empty() ? format.section_end : format.per_call_end;
// these might happen earlier in the tools section as an example or somewhere else, so we need to find the closest ones
@@ -1408,10 +1183,6 @@ void analyze_tools::extract_args_markers() {
if (find_fun != std::string::npos) {
args_start = args_start.substr(find_fun + FUN_FIRST.size(), args_start.size() - find_fun - FUN_FIRST.size());
}
size_t find_call_id = args_start.find(CALL_ID_001);
if (find_call_id != std::string::npos) {
args_start = args_start.substr(find_call_id + CALL_ID_001.size(), args_start.size() - find_call_id - CALL_ID_001.size());
}
arguments.start = args_start;
arguments.end = args_end;
}
@@ -1451,8 +1222,8 @@ void analyze_tools::extract_call_id_markers() {
return;
}
std::string id_value_1 = CALL_ID_001;
std::string id_value_2 = CALL_ID_999;
std::string id_value_1 = "call00001";
std::string id_value_2 = "call99999";
size_t common_id_prefix_len = 0;
for (size_t i = 0; i < std::min(id_value_1.length(), id_value_2.length()); i++) {
@@ -1551,14 +1322,6 @@ void analyze_tools::extract_call_id_markers() {
call_id.suffix = find_first_marker(before_func);
}
if (call_id.prefix == arguments.end) {
call_id.prefix = "";
}
if (call_id.suffix == arguments.start) {
call_id.suffix = "";
}
// When call_id is detected, per_call_end may have been incorrectly set to include
// the call_id_suffix and sample args. Clear it if it starts with call_id_suffix.
if (call_id.pos != call_id_position::NONE && !call_id.suffix.empty() &&

View File

@@ -214,10 +214,6 @@ std::string & common_chat_peg_mapper::args_target() {
return (current_tool && !current_tool->name.empty()) ? current_tool->arguments : args_buffer;
}
std::string common_chat_peg_mapper::normalize_container_value(const std::string & input) {
return normalize_quotes_to_json(input);
}
void common_chat_peg_mapper::from_ast(const common_peg_ast_arena & arena,
const common_peg_parse_result & parse_result_arg) {
arena.visit(parse_result_arg, [this](const common_peg_ast_node & node) { map(node); });
@@ -233,20 +229,6 @@ void common_chat_peg_mapper::from_ast(const common_peg_ast_arena & arena,
result.tool_calls.push_back(pending_tool_call.value());
pending_tool_call.reset();
}
// Discard whitespace-only reasoning content (e.g. from <think></think> prefill)
if (!result.reasoning_content.empty()) {
bool all_whitespace = true;
for (char c : result.reasoning_content) {
if (c != ' ' && c != '\n' && c != '\r' && c != '\t') {
all_whitespace = false;
break;
}
}
if (all_whitespace) {
result.reasoning_content.clear();
}
}
}
void common_chat_peg_mapper::map(const common_peg_ast_node & node) {
@@ -356,9 +338,37 @@ void common_chat_peg_mapper::map(const common_peg_ast_node & node) {
// For potential containers, normalize Python-style single quotes to JSON double quotes
bool is_potential_container = value_content[0] == '[' || value_content[0] == '{';
if (is_potential_container) {
value_content = normalize_container_value(value_content);
value_content = normalize_quotes_to_json(value_content);
}
// Try to parse as JSON value (number, bool, null, object, array)
try {
ordered_json parsed = ordered_json::parse(value_content);
if (parsed.is_string()) {
// Don't add closing quote yet (added by arg_close) for monotonic streaming
std::string escaped = parsed.dump();
if (!escaped.empty() && escaped.back() == '"') {
escaped.pop_back();
}
value_to_add = escaped;
closing_quote_pending = true;
} else {
// Non-string values: use raw content to preserve whitespace for monotonicity
value_to_add = value_content;
}
} catch (...) {
if (node.is_partial && is_potential_container) {
// Partial container: pass through the already-normalized content
value_to_add = value_content;
} else {
// Not valid JSON - treat as string value
if (!closing_quote_pending) {
value_to_add = "\"";
closing_quote_pending = true;
}
value_to_add += escape_json_string_inner(value_content);
}
}
value_to_add += value_content;
}
args_target() += value_to_add;
@@ -648,7 +658,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys(
ordered_json params = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
auto nested_name = literal("\"" + nested_name_field + "\"") + space() + literal(":") + space() +
atomic(literal("\"") + tool_name(literal(name)) + literal("\""));
literal("\"") + tool_name(literal(name)) + literal("\"");
auto nested_args = literal("\"" + nested_args_field + "\"") + space() + literal(":") + space() +
tool_args(schema(json(), "tool-" + name + "-schema", params));
@@ -716,7 +726,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys(
ordered_json params = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
auto tool_name_ = name_key_parser + space() + literal(":") + space() +
atomic(literal("\"") + tool_name(literal(name)) + literal("\""));
literal("\"") + tool_name(literal(name)) + literal("\"");
auto tool_args_ = args_key_parser + space() + literal(":") + space() +
tool_args(schema(json(), "tool-" + name + "-schema", params));
@@ -778,42 +788,6 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys(
return tool_choices;
}
common_peg_parser common_chat_peg_builder::prefix(const std::string & s, const std::string & delimiter) {
if (s.empty()) {
return eps();
}
if (delimiter.empty()) {
return literal(s);
}
return literal(s.substr(0, s.find(delimiter)));
}
common_peg_parser common_chat_peg_builder::optspace(const std::string & tag) {
auto parser = eps();
size_t end_of_prefix_space = tag.size();
size_t start_of_suffix_space = tag.size();
for (size_t i = 0; i < tag.size(); i++) {
if (!std::isspace(tag[i])) {
end_of_prefix_space = i;
break;
}
}
for (size_t i = tag.size(); i > 0; i--) {
if (!std::isspace(tag[i - 1])) {
start_of_suffix_space = i;
break;
}
}
for (size_t i = 0; i < end_of_prefix_space; i++) {
parser += optional(literal(std::string(1, tag[i])));
}
parser += literal(tag.substr(end_of_prefix_space, start_of_suffix_space - end_of_prefix_space));
for (size_t i = start_of_suffix_space; i < tag.size(); i++) {
parser += optional(literal(std::string(1, tag[i])));
}
return parser;
}
common_peg_parser common_chat_peg_builder::standard_json_tools(
const std::string & section_start,
const std::string & section_end,
@@ -863,143 +837,3 @@ common_peg_parser common_chat_peg_builder::standard_json_tools(
return force_tool_calls ? section : optional(section);
}
void common_chat_peg_gemma4_mapper::from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result) {
for (const auto & node : result.nodes) {
visit(arena, node);
}
}
static std::string gemma4_to_json(const common_peg_ast_arena & arena, common_peg_ast_id id) {
const auto & node = arena.get(id);
if (node.text.empty()) {
return "";
}
if (node.rule == "gemma4-number" || node.rule == "gemma4-bool" || node.rule == "gemma4-null") {
return std::string(node.text);
}
if (node.rule == "gemma4-string-content") {
return escape_json_string_inner(std::string(node.text));
}
if (node.rule == "gemma4-string") {
std::string result = "\"";
if (!node.children.empty()) {
result += gemma4_to_json(arena, node.children[0]);
if (!node.is_partial) {
result += "\"";
}
}
return result;
}
if (node.rule == "gemma4-array") {
std::string result = "[";
bool add_comma = false;
for (auto child_id : node.children) {
if (add_comma) {
result += ',';
}
add_comma = true;
result += gemma4_to_json(arena, child_id);
}
if (!node.is_partial) {
result += ']';
}
return result;
}
if (node.rule == "gemma4-dict-key-name") {
return std::string(node.text);
}
if (node.rule == "gemma4-dict-key") {
std::string result = "\"";
if (!node.children.empty()) {
result += escape_json_string_inner(gemma4_to_json(arena, node.children[0]));
}
if (!node.is_partial) {
result += "\":";
}
return result;
}
if (node.rule == "gemma4-dict-kv") {
std::string result;
for (auto child_id : node.children) {
result += gemma4_to_json(arena, child_id);
}
return result;
}
if (node.rule == "gemma4-dict") {
std::string result = "{";
bool add_comma = false;
for (auto child_id : node.children) {
if (add_comma) {
result += ',';
}
add_comma = true;
result += gemma4_to_json(arena, child_id);
}
if (!node.is_partial) {
result += '}';
}
return result;
}
if (node.rule == "gemma4-value") {
if (!node.children.empty()) {
return gemma4_to_json(arena, node.children[0]);
}
return "";
}
return "";
}
void common_chat_peg_gemma4_mapper::visit(const common_peg_ast_arena & arena, common_peg_ast_id id) {
const auto & node = arena.get(id);
if (node.tag == "reasoning") {
result.reasoning_content += std::string(node.text);
return;
}
if (node.tag == "content") {
result.content += std::string(node.text);
return;
}
if (node.tag == "tool") {
auto name_id = arena.find_by_tag(node, "tool-name");
auto args_id = arena.find_by_tag(node, "tool-args");
if (name_id != COMMON_PEG_INVALID_AST_ID && args_id != COMMON_PEG_INVALID_AST_ID) {
const auto & name_node = arena.get(name_id);
const auto & args_node = arena.get(args_id);
if (!name_node.is_partial) {
common_chat_tool_call call;
call.name = std::string(name_node.text);
if (!args_node.children.empty()) {
call.arguments = gemma4_to_json(arena, args_node.children[0]);
}
result.tool_calls.push_back(call);
}
}
return;
}
for (auto child_id : node.children) {
visit(arena, child_id);
}
}

View File

@@ -17,9 +17,7 @@ class common_chat_peg_mapper {
virtual void from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result);
virtual void map(const common_peg_ast_node & node);
protected:
virtual std::string normalize_container_value(const std::string & input);
private:
private:
// Tool call handling state
std::optional<common_chat_tool_call> pending_tool_call; // Tool call waiting for name
common_chat_tool_call * current_tool = nullptr;
@@ -32,14 +30,6 @@ class common_chat_peg_mapper {
std::string & args_target();
};
class common_chat_peg_gemma4_mapper : public common_chat_peg_mapper {
public:
common_chat_peg_gemma4_mapper(common_chat_msg & msg) : common_chat_peg_mapper(msg) {}
virtual void from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result);
private:
void visit(const common_peg_ast_arena & arena, common_peg_ast_id id);
};
struct content_structure;
struct tool_call_structure;
@@ -90,14 +80,7 @@ class common_chat_peg_builder : public common_peg_parser_builder {
// Use for schema-declared string types - won't be treated as potential JSON container
common_peg_parser tool_arg_string_value(const common_peg_parser & p) { return tag(TOOL_ARG_STRING_VALUE, p); }
common_peg_parser tool_arg_json_value(const common_peg_parser & p) { return tag(TOOL_ARG_VALUE, p); }
// Return a parser that parses the prefix of a string, up to a given delimiter.
common_peg_parser prefix(const std::string & s, const std::string & delimiter = {});
// Return a parser that parses all elements of tag, but leading and trailing spaces are optional
common_peg_parser optspace(const std::string & tag);
common_peg_parser tool_arg_json_value(const common_peg_parser & p) { return atomic(tag(TOOL_ARG_VALUE, p)); }
// Legacy-compatible helper for building standard JSON tool calls
// Used by tests and manual parsers

File diff suppressed because it is too large Load Diff

View File

@@ -3,12 +3,12 @@
#pragma once
#include "common.h"
#include "peg-parser.h"
#include "jinja/parser.h"
#include "nlohmann/json_fwd.hpp"
#include "peg-parser.h"
#include "jinja/runtime.h"
#include "jinja/caps.h"
#include "nlohmann/json_fwd.hpp"
#include "nlohmann/json.hpp"
#include <chrono>
#include <functional>
@@ -19,10 +19,12 @@
using chat_template_caps = jinja::caps;
using json = nlohmann::ordered_json;
#include <nlohmann/json_fwd.hpp>
struct common_chat_templates;
namespace autoparser {
struct generation_params;
struct templates_params;
} // namespace autoparser
struct common_chat_tool_call {
@@ -73,9 +75,41 @@ struct common_chat_template {
const std::string & bos_token() const { return bos_tok; }
const std::string & eos_token() const { return eos_tok; }
// TODO: this is ugly, refactor it somehow
json add_system(const json & messages, const std::string & system_prompt) const {
GGML_ASSERT(messages.is_array());
auto msgs_copy = messages;
if (!caps.supports_system_role) {
if (msgs_copy.empty()) {
msgs_copy.insert(msgs_copy.begin(), json{
{"role", "user"},
{"content", system_prompt}
});
} else {
auto & first_msg = msgs_copy[0];
if (!first_msg.contains("content")) {
first_msg["content"] = "";
}
first_msg["content"] = system_prompt + "\n\n"
+ first_msg["content"].get<std::string>();
}
} else {
if (msgs_copy.empty() || msgs_copy[0].at("role") != "system") {
msgs_copy.insert(msgs_copy.begin(), json{
{"role", "system"},
{"content", system_prompt}
});
} else if (msgs_copy[0].at("role") == "system") {
msgs_copy[0]["content"] = system_prompt;
}
}
return msgs_copy;
}
chat_template_caps original_caps() const {
return caps;
}
};
struct common_chat_msg {
@@ -89,22 +123,11 @@ struct common_chat_msg {
nlohmann::ordered_json to_json_oaicompat(bool concat_typed_text = false) const;
std::string render_content(const std::string & delimiter = "\n\n") const;
bool empty() const {
return content.empty() && content_parts.empty() && tool_calls.empty() && reasoning_content.empty() &&
tool_name.empty() && tool_call_id.empty();
}
bool contains_media() const {
for (const auto & part : content_parts) {
if (part.type == "media_marker") {
return true;
}
}
return false;
}
void set_tool_call_ids(std::vector<std::string> & ids_cache,
const std::function<std::string()> & gen_tool_call_id) {
for (auto i = 0u; i < tool_calls.size(); i++) {
@@ -143,17 +166,6 @@ struct common_chat_msg_diff {
}
};
struct common_chat_msg_span {
std::string role;
std::size_t pos = 0;
std::size_t len = 0;
};
struct common_chat_msg_delimiter {
std::string role;
std::string delimiter;
};
struct common_chat_tool {
std::string name;
std::string description;
@@ -172,27 +184,16 @@ enum common_chat_format {
// These are intended to be parsed by the PEG parser
COMMON_CHAT_FORMAT_PEG_SIMPLE,
COMMON_CHAT_FORMAT_PEG_NATIVE,
COMMON_CHAT_FORMAT_PEG_GEMMA4,
COMMON_CHAT_FORMAT_COUNT, // Not a format, just the # formats
};
// Continuation method provided via `continue_final_message`
enum common_chat_continuation {
COMMON_CHAT_CONTINUATION_NONE,
COMMON_CHAT_CONTINUATION_AUTO,
COMMON_CHAT_CONTINUATION_REASONING,
COMMON_CHAT_CONTINUATION_CONTENT,
};
struct common_chat_templates_inputs {
std::vector<common_chat_msg> messages;
std::string grammar;
std::string json_schema;
bool add_generation_prompt = true;
common_chat_continuation continue_final_message = COMMON_CHAT_CONTINUATION_NONE;
bool use_jinja = true;
bool add_generation_prompt = true;
bool use_jinja = true;
// Parameters below only supported when use_jinja is true
std::vector<common_chat_tool> tools;
common_chat_tool_choice tool_choice = COMMON_CHAT_TOOL_CHOICE_AUTO;
@@ -203,7 +204,6 @@ struct common_chat_templates_inputs {
std::map<std::string, std::string> chat_template_kwargs;
bool add_bos = false;
bool add_eos = false;
bool force_pure_content = false;
};
struct common_chat_params {
@@ -211,7 +211,7 @@ struct common_chat_params {
std::string prompt;
std::string grammar;
bool grammar_lazy = false;
std::string generation_prompt;
bool thinking_forced_open = false;
bool supports_thinking = false;
std::string thinking_start_tag; // e.g., "<think>"
std::string thinking_end_tag; // e.g., "</think>"
@@ -219,7 +219,6 @@ struct common_chat_params {
std::vector<std::string> preserved_tokens;
std::vector<std::string> additional_stops;
std::string parser;
std::vector<common_chat_msg_span> message_spans;
};
// per-message parsing syntax
@@ -229,16 +228,14 @@ struct common_chat_parser_params {
common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE; // TODO: refactor this to "bool parse_reasoning"
// Whether reasoning_content should be inlined in the content (e.g. for reasoning_format=deepseek in stream mode)
bool reasoning_in_content = false;
std::string generation_prompt;
bool thinking_forced_open = false;
bool parse_tool_calls = true;
bool is_continuation = false;
bool echo = false; // Include assistant prefilled msg in output
bool debug = false; // Enable debug output for PEG parser
common_peg_arena parser = {};
common_chat_parser_params() = default;
common_chat_parser_params(const common_chat_params & chat_params) {
format = chat_params.format;
generation_prompt = chat_params.generation_prompt;
format = chat_params.format;
thinking_forced_open = chat_params.thinking_forced_open;
}
};
@@ -258,8 +255,8 @@ common_chat_templates_ptr common_chat_templates_init(const struct llama_model *
const std::string & bos_token_override = "",
const std::string & eos_token_override = "");
bool common_chat_templates_was_explicit(const struct common_chat_templates * tmpls);
std::string common_chat_templates_source(const struct common_chat_templates * tmpls, const std::string & variant = "");
bool common_chat_templates_was_explicit(const struct common_chat_templates * tmpls);
std::string common_chat_templates_source(const struct common_chat_templates * tmpls, const std::string & variant = "");
struct common_chat_params common_chat_templates_apply(const struct common_chat_templates * tmpls,
const struct common_chat_templates_inputs & inputs);
@@ -276,9 +273,9 @@ std::string common_chat_format_example(const struct common_chat_templates *
bool use_jinja,
const std::map<std::string, std::string> & chat_template_kwargs);
const char * common_chat_format_name(common_chat_format format);
common_chat_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_parser_params & params);
common_chat_msg common_chat_peg_parse(const common_peg_arena & src_parser, const std::string & input, bool is_partial, const common_chat_parser_params & params);
const char * common_chat_format_name(common_chat_format format);
common_chat_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_parser_params & params);
common_chat_msg common_chat_peg_parse(const common_peg_arena & src_parser, const std::string & input, bool is_partial, const common_chat_parser_params & params);
// used by arg and server
const char * common_reasoning_format_name(common_reasoning_format format);
@@ -291,39 +288,20 @@ bool common_chat_templates_support_enable_thinking(const common_chat_templates *
// Parses a JSON array of messages in OpenAI's chat completion API format.
std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const nlohmann::ordered_json & messages);
std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const nlohmann::ordered_json & tools);
common_chat_continuation common_chat_continuation_parse(const nlohmann::ordered_json & value);
// DEPRECATED: only used in tests
nlohmann::ordered_json common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msgs, bool concat_typed_text = false);
std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const nlohmann::ordered_json & tools);
nlohmann::ordered_json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools);
nlohmann::ordered_json common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff);
// get template caps, useful for reporting to server /props endpoint
std::map<std::string, bool> common_chat_templates_get_caps(const common_chat_templates * chat_templates);
std::string common_chat_template_direct_apply(
const common_chat_template & tmpl,
const autoparser::generation_params & inputs);
std::string common_chat_template_generation_prompt(
const common_chat_template & tmpl,
const autoparser::generation_params & inputs);
std::optional<common_chat_params> common_chat_try_specialized_template(
const common_chat_template & tmpl,
const std::string & src,
autoparser::generation_params & params);
// specialized per-task preset
struct common_chat_prompt_preset {
std::string system;
std::string user;
};
common_chat_prompt_preset common_chat_get_asr_prompt(const common_chat_templates * chat_templates);
std::vector<common_chat_msg_span> common_chat_split_by_role(const std::string & prompt, const std::vector<common_chat_msg_delimiter> & delims);
const autoparser::templates_params & inputs,
const std::optional<json> & messages_override = std::nullopt,
const std::optional<json> & tools_override = std::nullopt,
const std::optional<json> & additional_context = std::nullopt);

View File

@@ -1,13 +1,10 @@
#include "ggml.h"
#include "gguf.h"
#include "build-info.h"
#include "common.h"
#include "fit.h"
#include "log.h"
#include "llama.h"
#include "sampling.h"
#include "speculative.h"
#include "unicode.h"
#include <algorithm>
@@ -71,7 +68,7 @@ common_time_meas::~common_time_meas() {
// CPU utils
//
int32_t common_cpu_get_num_physical_cores() {
int32_t cpu_get_num_physical_cores() {
#ifdef __linux__
// enumerate the set of thread siblings, num entries is num cores
std::unordered_set<std::string> siblings;
@@ -186,11 +183,11 @@ static int cpu_count_math_cpus(int n_cpu) {
/**
* Returns number of CPUs on system that are useful for math.
*/
int32_t common_cpu_get_num_math() {
int32_t cpu_get_num_math() {
#if defined(__x86_64__) && defined(__linux__) && !defined(__ANDROID__)
int n_cpu = sysconf(_SC_NPROCESSORS_ONLN);
if (n_cpu < 1) {
return common_cpu_get_num_physical_cores();
return cpu_get_num_physical_cores();
}
if (is_hybrid_cpu()) {
cpu_set_t affinity;
@@ -203,7 +200,7 @@ int32_t common_cpu_get_num_math() {
}
}
#endif
return common_cpu_get_num_physical_cores();
return cpu_get_num_physical_cores();
}
// Helper for setting process priority
@@ -264,7 +261,7 @@ bool set_process_priority(enum ggml_sched_priority prio) {
//
void postprocess_cpu_params(common_cpu_params & cpuparams, const common_cpu_params * role_model) {
void postprocess_cpu_params(cpu_params& cpuparams, const cpu_params* role_model) {
int32_t n_set = 0;
if (cpuparams.n_threads < 0) {
@@ -272,7 +269,7 @@ void postprocess_cpu_params(common_cpu_params & cpuparams, const common_cpu_para
if (role_model != nullptr) {
cpuparams = *role_model;
} else {
cpuparams.n_threads = common_cpu_get_num_math();
cpuparams.n_threads = cpu_get_num_math();
}
}
@@ -362,38 +359,15 @@ bool parse_cpu_mask(const std::string & mask, bool (&boolmask)[GGML_MAX_N_THREAD
}
void common_init() {
#if defined(_WIN32)
SetConsoleOutputCP(CP_UTF8);
SetConsoleCP(CP_UTF8);
#endif
common_log_set_prefix(common_log_main(), true);
common_log_set_timestamps(common_log_main(), true);
llama_log_set(common_log_default_callback, NULL);
}
void common_params_print_info(const common_params & params, bool print_devices) {
#ifdef NDEBUG
const char * build_type = "";
#else
const char * build_type = " (debug)";
#endif
LOG_TRC("%s: build %d (%s) with %s for %s%s\n", __func__, llama_build_number(), llama_commit(), llama_compiler(), llama_build_target(), build_type);
LOG_INF("log_info: verbosity = %d (adjust with the `-lv N` CLI arg)\n", common_log_get_verbosity_thold());
// device enumeration creates a primary context on CUDA backends, skip it when the caller does not own any device
if (print_devices) {
LOG_INF("device_info:\n");
for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
auto * dev = ggml_backend_dev_get(i);
size_t free, total;
ggml_backend_dev_memory(dev, &free, &total);
LOG_INF(" - %-8s: %s (%zu MiB, %zu MiB free)\n", ggml_backend_dev_name(dev), ggml_backend_dev_description(dev), total / 1024 / 1024, free / 1024 / 1024);
}
}
LOG_INF("%s\n", common_params_get_system_info(params).c_str());
LOG_INF("build: %d (%s) with %s for %s%s\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT, LLAMA_COMPILER, LLAMA_BUILD_TARGET, build_type);
}
std::string common_params_get_system_info(const common_params & params) {
@@ -445,27 +419,6 @@ std::string string_strip(const std::string & str) {
return str.substr(start, end - start);
}
std::string string_lcs(std::string_view a, std::string_view b) {
if (a.empty() || b.empty()) return {};
std::vector<std::vector<size_t>> dp(a.size() + 1, std::vector<size_t>(b.size() + 1, 0));
size_t best_len = 0;
size_t best_end_a = 0;
for (size_t i = 1; i <= a.size(); ++i) {
for (size_t j = 1; j <= b.size(); ++j) {
if (a[i - 1] == b[j - 1]) {
dp[i][j] = dp[i - 1][j - 1] + 1;
if (dp[i][j] > best_len) {
best_len = dp[i][j];
best_end_a = i;
}
}
}
}
return std::string(a.substr(best_end_a - best_len, best_len));
}
std::string string_get_sortable_timestamp() {
using clock = std::chrono::system_clock;
@@ -703,97 +656,6 @@ bool string_parse_kv_override(const char * data, std::vector<llama_model_kv_over
return true;
}
static inline bool glob_class_match(const char c, const char * pattern, const char * class_end) {
const char * class_start = pattern;
bool negated = false;
if (*class_start == '!') {
negated = true;
class_start++;
}
// If first character after negation is ']' or '-', treat it as literal
if (*class_start == ']' || *class_start == '-') {
if (class_start < class_end && *class_start == c) {
return !negated;
}
class_start++;
}
bool matched = false;
while (class_start < class_end) {
if (class_start + 2 < class_end && class_start[1] == '-' && class_start[2] != ']') {
char start_char = *class_start;
char end_char = class_start[2];
if (c >= start_char && c <= end_char) {
matched = true;
break;
}
class_start += 3;
} else {
if (*class_start == c) {
matched = true;
break;
}
class_start++;
}
}
return negated ? !matched : matched;
}
// simple glob: * matches non-/ chars, ** matches anything including /, [] matches character class
static inline bool glob_match(const char * pattern, const char * str) {
if (*pattern == '\0') {
return *str == '\0';
}
if (pattern[0] == '*' && pattern[1] == '*') {
const char * p = pattern + 2;
if (glob_match(p, str)) return true;
if (*str != '\0') return glob_match(pattern, str + 1);
return false;
}
if (*pattern == '*') {
const char * p = pattern + 1;
for (; *str != '\0' && *str != '/'; str++) {
if (glob_match(p, str)) return true;
}
return glob_match(p, str);
}
if (*pattern == '?' && *str != '\0' && *str != '/') {
return glob_match(pattern + 1, str + 1);
}
if (*pattern == '[') {
const char * class_end = pattern + 1;
// If first character after '[' is ']' or '-', treat it as literal
if (*class_end == ']' || *class_end == '-') {
class_end++;
}
while (*class_end != '\0' && *class_end != ']') {
class_end++;
}
if (*class_end == ']') {
if (*str == '\0') return false;
bool matched = glob_class_match(*str, pattern + 1, class_end);
return matched && glob_match(class_end + 1, str + 1);
} else {
if (*str == '[') {
return glob_match(pattern + 1, str + 1);
}
return false;
}
}
if (*pattern == *str) {
return glob_match(pattern + 1, str + 1);
}
return false;
}
bool glob_match(const std::string & pattern, const std::string & str) {
return glob_match(pattern.c_str(), str.c_str());
}
//
// Filesystem utils
//
@@ -1181,20 +1043,19 @@ struct common_init_result::impl {
std::vector<llama_sampler_seq_config> samplers_seq_config;
};
common_init_result::common_init_result(common_params & params, bool model_only) :
common_init_result::common_init_result(common_params & params) :
pimpl(new impl{}) {
auto mparams = common_model_params_to_llama(params);
auto cparams = common_context_params_to_llama(params);
if (params.fit_params) {
LOG_INF("%s: fitting params to device memory ...\n", __func__);
LOG_INF("%s: (for bugs during this step try to reproduce them with -fit off, or provide --verbose logs if the bug only occurs with -fit on)\n", __func__);
common_fit_params(params.model.path.c_str(), &mparams, &cparams,
LOG_INF("%s: fitting params to device memory, for bugs during this step try to reproduce them with -fit off, or provide --verbose logs if the bug only occurs with -fit on\n", __func__);
llama_params_fit(params.model.path.c_str(), &mparams, &cparams,
params.tensor_split,
params.tensor_buft_overrides.data(),
params.fit_params_target.data(),
params.fit_params_min_ctx,
params.verbosity >= LOG_LEVEL_DEBUG ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
params.verbosity >= 4 ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
}
llama_model * model = llama_model_load_from_file(params.model.path.c_str(), mparams);
@@ -1204,13 +1065,9 @@ common_init_result::common_init_result(common_params & params, bool model_only)
pimpl->model.reset(model);
if (model_only) {
return;
}
const llama_vocab * vocab = llama_model_get_vocab(model);
// load and optionally apply lora adapters
// load and optionally apply lora adapters (must be loaded before context creation)
for (auto & la : params.lora_adapters) {
llama_adapter_lora_ptr lora;
lora.reset(llama_adapter_lora_init(model, la.path.c_str()));
@@ -1241,7 +1098,7 @@ common_init_result::common_init_result(common_params & params, bool model_only)
// initialize once
for (llama_token i = 0; i < llama_vocab_n_tokens(vocab); i++) {
if (llama_vocab_is_eog(vocab, i)) {
LOG_TRC("%s: added %s logit bias = %f\n", __func__, common_token_to_piece(vocab, i).c_str(), -INFINITY);
LOG_INF("%s: added %s logit bias = %f\n", __func__, common_token_to_piece(vocab, i).c_str(), -INFINITY);
params.sampling.logit_bias_eog.push_back({i, -INFINITY});
}
}
@@ -1254,12 +1111,12 @@ common_init_result::common_init_result(common_params & params, bool model_only)
}
//if (params.sampling.penalty_last_n == -1) {
// LOG_TRC("%s: setting penalty_last_n to ctx_size = %d\n", __func__, llama_n_ctx(lctx));
// LOG_INF("%s: setting penalty_last_n to ctx_size = %d\n", __func__, llama_n_ctx(lctx));
// params.sampling.penalty_last_n = llama_n_ctx(lctx);
//}
//if (params.sampling.dry_penalty_last_n == -1) {
// LOG_TRC("%s: setting dry_penalty_last_n to ctx_size = %d\n", __func__, llama_n_ctx(lctx));
// LOG_INF("%s: setting dry_penalty_last_n to ctx_size = %d\n", __func__, llama_n_ctx(lctx));
// params.sampling.dry_penalty_last_n = llama_n_ctx(lctx);
//}
@@ -1295,9 +1152,6 @@ llama_context * common_init_result::context() {
}
common_sampler * common_init_result::sampler(llama_seq_id seq_id) {
if (seq_id < 0 || seq_id >= (int) pimpl->samplers.size()) {
return nullptr;
}
return pimpl->samplers[seq_id].get();
}
@@ -1311,8 +1165,8 @@ std::vector<llama_adapter_lora_ptr> & common_init_result::lora() {
return pimpl->lora;
}
common_init_result_ptr common_init_from_params(common_params & params, bool model_only) {
common_init_result_ptr res(new common_init_result(params, model_only));
common_init_result_ptr common_init_from_params(common_params & params) {
common_init_result_ptr res(new common_init_result(params));
llama_model * model = res->model();
if (model == NULL) {
@@ -1320,10 +1174,6 @@ common_init_result_ptr common_init_from_params(common_params & params, bool mode
return res;
}
if (model_only) {
return res;
}
llama_context * lctx = res->context();
if (lctx == NULL) {
LOG_ERR("%s: failed to create context with model '%s'\n", __func__, params.model.path.c_str());
@@ -1387,7 +1237,7 @@ common_init_result_ptr common_init_from_params(common_params & params, bool mode
}
if (params.warmup) {
LOG_INF("%s: warming up the model with an empty run - please wait ... (--no-warmup to disable)\n", __func__);
LOG_WRN("%s: warming up the model with an empty run - please wait ... (--no-warmup to disable)\n", __func__);
llama_set_warmup(lctx, true);
@@ -1432,7 +1282,7 @@ common_init_result_ptr common_init_from_params(common_params & params, bool mode
common_init_result::~common_init_result() = default;
std::string common_get_model_endpoint() {
std::string get_model_endpoint() {
const char * model_endpoint_env = getenv("MODEL_ENDPOINT");
// We still respect the use of environment-variable "HF_ENDPOINT" for backward-compatibility.
const char * hf_endpoint_env = getenv("HF_ENDPOINT");
@@ -1447,65 +1297,6 @@ std::string common_get_model_endpoint() {
return model_endpoint;
}
common_context_seq_rm_type common_context_can_seq_rm(llama_context * ctx) {
auto * mem = llama_get_memory(ctx);
if (mem == nullptr) {
return COMMON_CONTEXT_SEQ_RM_TYPE_NO;
}
common_context_seq_rm_type res = COMMON_CONTEXT_SEQ_RM_TYPE_PART;
llama_memory_clear(mem, true);
// eval 2 tokens to check if the context is compatible
std::vector<llama_token> tmp;
tmp.push_back(0);
tmp.push_back(0);
int ret = llama_decode(ctx, llama_batch_get_one(tmp.data(), tmp.size()));
if (ret != 0) {
LOG_ERR("%s: llama_decode() failed: %d\n", __func__, ret);
res = COMMON_CONTEXT_SEQ_RM_TYPE_NO;
goto done;
}
if (llama_n_rs_seq(ctx) > 0) {
LOG_INF("%s: the context supports bounded partial sequence removal\n", __func__);
res = COMMON_CONTEXT_SEQ_RM_TYPE_RS;
goto done;
}
// try to remove the last tokens
if (!llama_memory_seq_rm(mem, 0, 1, -1)) {
LOG_TRC("%s: the context does not support partial sequence removal\n", __func__);
res = COMMON_CONTEXT_SEQ_RM_TYPE_FULL;
goto done;
}
done:
llama_memory_clear(mem, true);
llama_synchronize(ctx);
return res;
}
void common_context_seq_rm(llama_context * ctx, llama_seq_id seq_id, llama_pos p0, llama_pos p1) {
auto * mem = llama_get_memory(ctx);
if (!llama_memory_seq_rm(mem, seq_id, p0, p1)) {
GGML_ABORT("%s", string_format("failed to remove sequence %d with p0=%d, p1=%d\n", seq_id, p0, p1).c_str());
}
}
void common_context_seq_cp(llama_context * ctx, llama_seq_id seq_id_src, llama_seq_id seq_id_dst, llama_pos p0, llama_pos p1) {
auto * mem = llama_get_memory(ctx);
llama_memory_seq_cp(mem, seq_id_src, seq_id_dst, p0, p1);
}
void common_context_seq_add(llama_context * ctx, llama_seq_id seq_id, llama_pos p0, llama_pos p1, llama_pos delta) {
auto * mem = llama_get_memory(ctx);
llama_memory_seq_add(mem, seq_id, p0, p1, delta);
}
void common_set_adapter_lora(struct llama_context * ctx, std::vector<common_adapter_lora_info> & lora) {
std::vector<llama_adapter_lora *> loras;
std::vector<float> scales;
@@ -1552,7 +1343,6 @@ struct llama_model_params common_model_params_to_llama(common_params & params) {
mparams.progress_callback = params.load_progress_callback;
mparams.progress_callback_user_data = params.load_progress_callback_user_data;
mparams.no_alloc = params.no_alloc;
return mparams;
}
@@ -1562,7 +1352,6 @@ struct llama_context_params common_context_params_to_llama(const common_params &
cparams.n_ctx = params.n_ctx;
cparams.n_seq_max = params.n_parallel;
cparams.n_rs_seq = params.speculative.need_n_rs_seq();
cparams.n_batch = params.n_batch;
cparams.n_ubatch = params.n_ubatch;
cparams.n_threads = params.cpuparams.n_threads;
@@ -1594,7 +1383,7 @@ struct llama_context_params common_context_params_to_llama(const common_params &
return cparams;
}
struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const common_cpu_params & params) {
struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const cpu_params & params) {
struct ggml_threadpool_params tpp;
ggml_threadpool_params_init(&tpp, params.n_threads); // setup the defaults
@@ -2033,110 +1822,3 @@ bool common_prompt_batch_decode(
return true;
}
size_t common_prompt_checkpoint::size() const {
return data_tgt.size() + data_dft.size();
}
bool common_prompt_checkpoint::empty() const {
return data_tgt.empty();
}
void common_prompt_checkpoint::clear() {
n_tokens = 0;
pos_min = 0;
pos_max = 0;
data_tgt.clear();
data_dft.clear();
}
void common_prompt_checkpoint::update_pos(
int64_t n_tokens,
llama_pos pos_min,
llama_pos pos_max) {
this->n_tokens = n_tokens;
this->pos_min = pos_min;
this->pos_max = pos_max;
}
void common_prompt_checkpoint::update_tgt(
llama_context * ctx,
llama_seq_id seq_id,
llama_state_seq_flags flags) {
if (ctx == nullptr) {
return;
}
const size_t ckpt_size = llama_state_seq_get_size_ext(ctx, seq_id, flags);
data_tgt.resize(ckpt_size);
const size_t n = llama_state_seq_get_data_ext(ctx, data_tgt.data(), ckpt_size, seq_id, flags);
if (n != ckpt_size) {
GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", ckpt_size, n);
}
}
void common_prompt_checkpoint::update_dft(
llama_context * ctx,
llama_seq_id seq_id,
llama_state_seq_flags flags) {
if (ctx == nullptr) {
return;
}
const size_t ckpt_size = llama_state_seq_get_size_ext(ctx, seq_id, flags);
data_dft.resize(ckpt_size);
const size_t n = llama_state_seq_get_data_ext(ctx, data_dft.data(), ckpt_size, seq_id, flags);
if (n != ckpt_size) {
GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", ckpt_size, n);
}
}
void common_prompt_checkpoint::load_tgt(
llama_context * ctx,
llama_seq_id seq_id,
llama_state_seq_flags flags) const {
if (ctx == nullptr) {
return;
}
if (data_tgt.empty()) {
return;
}
const size_t n = llama_state_seq_set_data_ext(ctx, data_tgt.data(), data_tgt.size(), seq_id, flags);
if (n != data_tgt.size()) {
GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", data_tgt.size(), n);
}
}
void common_prompt_checkpoint::load_dft(
llama_context * ctx,
llama_seq_id seq_id,
llama_state_seq_flags flags) const {
if (ctx == nullptr) {
return;
}
if (data_dft.empty()) {
return;
}
const size_t n = llama_state_seq_set_data_ext(ctx, data_dft.data(), data_dft.size(), seq_id, flags);
if (n != data_dft.size()) {
GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", data_dft.size(), n);
}
}
void common_prompt_checkpoint::clear_tgt() {
data_tgt.clear();
}
void common_prompt_checkpoint::clear_dft() {
data_dft.clear();
}

View File

@@ -2,10 +2,8 @@
#pragma once
#include "llama-cpp.h"
#include "ggml-opt.h"
#include "ggml.h"
#include "llama-cpp.h"
#include <set>
#include <sstream>
@@ -13,7 +11,6 @@
#include <string_view>
#include <vector>
#include <map>
#include <algorithm>
#if defined(_WIN32) && !defined(_WIN32_WINNT)
#define _WIN32_WINNT 0x0A00
@@ -28,6 +25,11 @@
#define die(msg) do { fputs("error: " msg "\n", stderr); exit(1); } while (0)
#define die_fmt(fmt, ...) do { fprintf(stderr, "error: " fmt "\n", __VA_ARGS__); exit(1); } while (0)
#define print_build_info() do { \
fprintf(stderr, "%s: build = %d (%s)\n", __func__, LLAMA_BUILD_NUMBER, LLAMA_COMMIT); \
fprintf(stderr, "%s: built with %s for %s\n", __func__, LLAMA_COMPILER, LLAMA_BUILD_TARGET); \
} while(0)
struct common_time_meas {
common_time_meas(int64_t & t_acc, bool disable = false);
~common_time_meas();
@@ -49,13 +51,21 @@ struct common_adapter_lora_info {
using llama_tokens = std::vector<llama_token>;
// build info
extern int LLAMA_BUILD_NUMBER;
extern const char * LLAMA_COMMIT;
extern const char * LLAMA_COMPILER;
extern const char * LLAMA_BUILD_TARGET;
const static std::string build_info("b" + std::to_string(LLAMA_BUILD_NUMBER) + "-" + LLAMA_COMMIT);
struct common_control_vector_load_info;
//
// CPU utils
//
struct common_cpu_params {
struct cpu_params {
int n_threads = -1;
bool cpumask[GGML_MAX_N_THREADS] = {false}; // CPU affinity mask.
bool mask_valid = false; // Default: any CPU
@@ -64,8 +74,8 @@ struct common_cpu_params {
uint32_t poll = 50; // Polling (busywait) level (0 - no polling, 100 - mostly polling)
};
int32_t common_cpu_get_num_physical_cores();
int32_t common_cpu_get_num_math();
int32_t cpu_get_num_physical_cores();
int32_t cpu_get_num_math();
//
// Common params
@@ -158,10 +168,9 @@ enum common_params_sampling_config : uint64_t {
enum common_speculative_type {
COMMON_SPECULATIVE_TYPE_NONE, // no speculative decoding
COMMON_SPECULATIVE_TYPE_DRAFT_SIMPLE, // standalone draft model speculative decoding
COMMON_SPECULATIVE_TYPE_DRAFT_EAGLE3, // Eagle3 speculative decoding
COMMON_SPECULATIVE_TYPE_DRAFT_MTP, // Multi-token prediction
COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE, // simple self-speculative decoding based on n-grams
COMMON_SPECULATIVE_TYPE_DRAFT, // draft model
COMMON_SPECULATIVE_TYPE_EAGLE3, // eagle draft model
COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE, // simple self-speculative decoding
COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K, // self-speculative decoding with n-gram keys only
COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V, // self-speculative decoding with n-gram keys and 4 m-gram values
COMMON_SPECULATIVE_TYPE_NGRAM_MOD,
@@ -169,43 +178,6 @@ enum common_speculative_type {
COMMON_SPECULATIVE_TYPE_COUNT // number of types, unknown type
};
// Grammar type enumeration
enum common_grammar_type {
COMMON_GRAMMAR_TYPE_NONE, // no grammar set
COMMON_GRAMMAR_TYPE_USER, // user-provided GBNF (--grammar / "grammar" API field)
COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT, // auto-generated from JSON schema (--json-schema / "json_schema" API field)
COMMON_GRAMMAR_TYPE_TOOL_CALLS, // auto-generated by chat template parser for function calling
};
// Grammar variant struct with type and grammar string
struct common_grammar {
common_grammar_type type = COMMON_GRAMMAR_TYPE_NONE;
std::string grammar;
// Default constructor - no grammar
common_grammar() = default;
// Constructor with type and grammar string
common_grammar(common_grammar_type t, std::string g) : type(t), grammar(std::move(g)) {
GGML_ASSERT(type != COMMON_GRAMMAR_TYPE_NONE || !grammar.empty());
}
// Check if a grammar is set
bool empty() const { return type == COMMON_GRAMMAR_TYPE_NONE || grammar.empty(); }
};
// Returns the raw grammar string, or empty string if no grammar is set.
inline const std::string & common_grammar_value(const common_grammar & g) {
return g.grammar;
}
// Returns true when the generation_prompt should be prefilled into the grammar sampler.
// Only output-format and tool-call grammars need prefill; user-supplied grammars must not be prefilled.
inline bool common_grammar_needs_prefill(const common_grammar & g) {
return g.type == COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT
|| g.type == COMMON_GRAMMAR_TYPE_TOOL_CALLS;
}
// sampling parameters
struct common_params_sampling {
uint32_t seed = LLAMA_DEFAULT_SEED; // the seed used to initialize llama_sampler
@@ -256,7 +228,7 @@ struct common_params_sampling {
COMMON_SAMPLER_TYPE_TEMPERATURE,
};
common_grammar grammar; // optional grammar constraint (user / output-format / tool-calls)
std::string grammar; // optional BNF-like grammar to constrain sampling
bool grammar_lazy = false;
std::vector<common_grammar_trigger> grammar_triggers; // optional triggers (for lazy grammars)
std::set<llama_token> preserved_tokens;
@@ -264,19 +236,13 @@ struct common_params_sampling {
std::vector<llama_logit_bias> logit_bias; // logit biases to apply
std::vector<llama_logit_bias> logit_bias_eog; // pre-calculated logit biases for EOG tokens
// The assistant generation prompt already prefilled into the prompt.
// Fed to the grammar sampler (to advance past pre-existing tokens) and used
// to determine the reasoning budget sampler's initial state.
// Only applied when the grammar is of output-format or tool-calls type.
std::string generation_prompt;
// reasoning budget sampler parameters
// these are populated by the server/CLI based on chat template params
int32_t reasoning_budget_tokens = -1; // -1 = disabled, >= 0 = token budget
bool reasoning_budget_activate_immediately = false;
std::vector<llama_token> reasoning_budget_start; // start tag token sequence
std::vector<llama_token> reasoning_budget_end; // end tag token sequence
std::vector<llama_token> reasoning_budget_forced; // forced sequence (message + end tag)
std::string reasoning_budget_message; // message injected before end tag when budget exhausted
bool backend_sampling = false;
@@ -297,84 +263,62 @@ struct common_params_model {
std::string name = ""; // in format <user>/<model>[:<tag>] (tag is optional) // NOLINT
};
// draft-model-based speculative decoding parameters
struct common_params_speculative_draft {
int32_t n_max = 3; // maximum number of tokens to draft during speculative decoding
int32_t n_min = 0; // minimum number of draft tokens to use for speculative decoding
struct common_ngram_mod;
float p_split = 0.1f; // speculative decoding split probability
float p_min = 0.0f; // minimum speculative decoding probability (greedy)
struct common_params_speculative {
common_speculative_type type = COMMON_SPECULATIVE_TYPE_NONE; // type of speculative decoding
bool backend_sampling = true; // offload draft sampling to the backend (default: on)
// general-purpose speculative decoding parameters
common_params_model mparams;
int32_t n_max = 16; // maximum number of tokens to draft during speculative decoding
int32_t n_min = 0; // minimum number of draft tokens to use for speculative decoding
float p_split = 0.1f; // speculative decoding split probability
float p_min = 0.75f; // minimum speculative decoding probability (greedy)
llama_context * ctx_tgt = nullptr;
llama_context * ctx_dft = nullptr;
// ngram-based speculative decoding
uint16_t ngram_size_n = 12; // ngram size for lookup
uint16_t ngram_size_m = 48; // mgram size for speculative tokens
uint16_t ngram_min_hits = 1; // minimum hits at ngram/mgram lookup for mgram to be proposed
std::shared_ptr<common_ngram_mod> ngram_mod;
std::string lookup_cache_static; // path of static ngram cache file for lookup decoding // NOLINT
std::string lookup_cache_dynamic; // path of dynamic ngram cache file for lookup decoding // NOLINT
// draft-model speculative decoding
struct common_params_model mparams_dft;
llama_model * model_dft = nullptr; // a llama_model that can be shared by multiple speculative contexts
llama_context_params cparams_dft; // these are the parameters for the draft llama_context
int32_t n_ctx = 0; // draft context size
int32_t n_gpu_layers = -1; // number of layers to store in VRAM for the draft model (-1 - use default)
ggml_type cache_type_k = GGML_TYPE_F16; // KV cache data type for the K
ggml_type cache_type_v = GGML_TYPE_F16; // KV cache data type for the V
common_cpu_params cpuparams;
common_cpu_params cpuparams_batch;
struct cpu_params cpuparams;
struct cpu_params cpuparams_batch;
std::vector<ggml_backend_dev_t> devices; // devices to use for offloading
std::vector<std::pair<std::string, std::string>> replacements; // main to speculative model replacements
std::vector<llama_model_tensor_buft_override> tensor_buft_overrides;
};
struct common_params_speculative_ngram_mod {
int32_t n_match = 24;
int32_t n_max = 64;
int32_t n_min = 48;
};
struct common_params_speculative_ngram_map {
uint16_t size_n = 12; // ngram size for lookup
uint16_t size_m = 48; // mgram size for speculative tokens
uint16_t min_hits = 1; // minimum hits at ngram/mgram lookup for mgram to be proposed
};
struct common_params_speculative_ngram_cache {
std::string lookup_cache_static; // path of static ngram cache file for lookup decoding
std::string lookup_cache_dynamic; // path of dynamic ngram cache file for lookup decoding
};
struct common_params_speculative {
std::vector<enum common_speculative_type> types = { COMMON_SPECULATIVE_TYPE_NONE };
// used by Simple, MTP, Eagle3, etc. - all methods that require some kind of draft model
common_params_speculative_draft draft;
common_params_speculative_ngram_mod ngram_mod;
common_params_speculative_ngram_map ngram_simple;
common_params_speculative_ngram_map ngram_map_k;
common_params_speculative_ngram_map ngram_map_k4v;
common_params_speculative_ngram_cache ngram_cache;
bool has_dft() const {
return !draft.mparams.path.empty() || !draft.mparams.hf_repo.empty();
}
uint32_t need_n_rs_seq() const {
bool needs_rs_seq = std::any_of(types.begin(), types.end(), [&](auto t) {
return t == COMMON_SPECULATIVE_TYPE_DRAFT_MTP;
});
return needs_rs_seq ? draft.n_max : 0u;
return !mparams_dft.path.empty() || !mparams_dft.hf_repo.empty();
}
};
struct common_params_vocoder {
struct common_params_model model;
std::string speaker_file; // speaker file path
std::string speaker_file = ""; // speaker file path // NOLINT
bool use_guide_tokens = false; // enable guide tokens to improve TTS accuracy
bool use_guide_tokens = false; // enable guide tokens to improve TTS accuracy // NOLINT
};
struct common_params_diffusion {
@@ -445,20 +389,19 @@ struct common_params {
// offload params
std::vector<ggml_backend_dev_t> devices; // devices to use for offloading
int32_t n_gpu_layers = -1; // number of layers to store in VRAM, -1 is auto, <= -2 is all
int32_t main_gpu = 0; // the GPU that is used for scratch and small tensors
float tensor_split[128] = {0}; // how split tensors should be distributed across GPUs
bool fit_params = true; // whether to fit unset model/context parameters to free device memory
bool fit_params_print = false; // print the estimated required memory to run the model
int32_t fit_params_min_ctx = 4096; // minimum context size to set when trying to reduce memory use
int32_t n_gpu_layers = -1; // number of layers to store in VRAM, -1 is auto, <= -2 is all
int32_t main_gpu = 0; // the GPU that is used for scratch and small tensors
float tensor_split[128] = {0}; // how split tensors should be distributed across GPUs
bool fit_params = true; // whether to fit unset model/context parameters to free device memory
int32_t fit_params_min_ctx = 4096; // minimum context size to set when trying to reduce memory use
// margin per device in bytes for fitting parameters to free memory:
std::vector<size_t> fit_params_target = std::vector<size_t>(llama_max_devices(), 1024 * 1024*1024);
enum llama_split_mode split_mode = LLAMA_SPLIT_MODE_LAYER; // how to split the model across GPUs
common_cpu_params cpuparams;
common_cpu_params cpuparams_batch;
struct cpu_params cpuparams;
struct cpu_params cpuparams_batch;
ggml_backend_sched_eval_callback cb_eval = nullptr;
void * cb_eval_user_data = nullptr;
@@ -586,15 +529,13 @@ struct common_params {
// server params
int32_t port = 8080; // server listens on this network port
bool reuse_port = false; // allow multiple sockets to bind to the same port
int32_t timeout_read = 600; // http read timeout in seconds
int32_t timeout_write = timeout_read; // http write timeout in seconds
int32_t n_threads_http = -1; // number of threads to process HTTP requests (TODO: support threadpool)
int32_t n_cache_reuse = 0; // min chunk size to reuse from the cache via KV shifting
bool cache_prompt = true; // whether to enable prompt caching
bool cache_idle_slots = true; // save and clear idle slots upon starting a new task
int32_t n_ctx_checkpoints = 32; // max number of context checkpoints per slot
int32_t checkpoint_min_step = 256; // minimum spacing between context checkpoints
int32_t n_ctx_checkpoints = 32; // max number of context checkpoints per slot
int32_t checkpoint_every_nt = 8192; // make a checkpoint every n tokens during prefill
int32_t cache_ram_mib = 8192; // -1 = no limit, 0 - disable, 1 = 1 MiB, etc.
std::string hostname = "127.0.0.1";
@@ -603,9 +544,10 @@ struct common_params {
std::string chat_template = ""; // NOLINT
bool use_jinja = true; // NOLINT
bool enable_chat_template = true;
bool force_pure_content_parser = false;
common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
int enable_reasoning = -1; // -1 = auto, 0 = disable, 1 = enable
int reasoning_budget = -1;
std::string reasoning_budget_message; // message injected before end tag when budget exhausted
bool prefill_assistant = true; // if true, any trailing assistant message will be prefilled into the response
int sleep_idle_seconds = -1; // if >0, server will sleep after this many seconds of idle time
@@ -616,25 +558,16 @@ struct common_params {
std::map<std::string, std::string> default_template_kwargs;
// UI configs
bool ui = true;
// Deprecated: use ui, ui_mcp_proxy, ui_config_json instead
bool webui = ui;
// webui configs
bool webui = true;
bool webui_mcp_proxy = false;
std::string webui_config_json;
bool ui_mcp_proxy = false;
std::string ui_config_json;
// "advanced" endpoints are disabled by default for better security
bool endpoint_slots = true;
bool endpoint_props = false; // only control POST requests, not GET
bool endpoint_metrics = false;
// enable built-in tools
std::vector<std::string> server_tools;
// router server configs
std::string models_dir = ""; // directory containing models for the router server
std::string models_preset = ""; // directory containing model presets for the router server
@@ -697,19 +630,17 @@ struct common_params {
// return false from callback to abort model loading or true to continue
llama_progress_callback load_progress_callback = NULL;
void * load_progress_callback_user_data = NULL;
bool no_alloc = false; // Don't allocate model buffers
};
// call once at the start of a program if it uses libcommon
// initializes the logging system and prints info about the build
void common_init();
void common_params_print_info(const common_params & params, bool print_devices = true);
std::string common_params_get_system_info(const common_params & params);
bool parse_cpu_range(const std::string & range, bool(&boolmask)[GGML_MAX_N_THREADS]);
bool parse_cpu_mask(const std::string & mask, bool(&boolmask)[GGML_MAX_N_THREADS]);
void postprocess_cpu_params(common_cpu_params & cpuparams, const common_cpu_params * role_model = nullptr);
void postprocess_cpu_params(cpu_params & cpuparams, const cpu_params * role_model = nullptr);
bool set_process_priority(enum ggml_sched_priority prio);
//
@@ -731,7 +662,6 @@ std::string string_format(const char * fmt, ...);
std::string string_strip(const std::string & str);
std::string string_get_sortable_timestamp();
std::string string_lcs(std::string_view a, std::string_view b);
std::string string_join(const std::vector<std::string> & values, const std::string & separator);
std::vector<std::string> string_split(const std::string & str, const std::string & delimiter);
@@ -778,11 +708,6 @@ inline bool string_starts_with(std::string_view str, std::string_view prefix) {
str.compare(0, prefix.size(), prefix) == 0;
}
// remove when moving to c++20
inline bool string_starts_with(std::string_view str, char prefix) {
return !str.empty() && str.front() == prefix;
}
// remove when moving to c++20
inline bool string_ends_with(std::string_view str, std::string_view suffix) {
return str.size() >= suffix.size() &&
@@ -820,8 +745,6 @@ std::string string_from(const std::vector<int> & values);
std::string string_from(const struct llama_context * ctx, const std::vector<llama_token> & tokens);
std::string string_from(const struct llama_context * ctx, const struct llama_batch & batch);
bool glob_match(const std::string & pattern, const std::string & str);
//
// Filesystem utils
//
@@ -856,7 +779,7 @@ struct common_sampler;
// note: defines the model, context, samplers, ets. lifetimes
struct common_init_result {
common_init_result(common_params & params, bool model_only = false);
common_init_result(common_params & params);
~common_init_result();
llama_model * model();
@@ -874,37 +797,16 @@ private:
using common_init_result_ptr = std::unique_ptr<common_init_result>;
common_init_result_ptr common_init_from_params(common_params & params, bool model_only = false);
common_init_result_ptr common_init_from_params(common_params & params);
struct llama_model_params common_model_params_to_llama ( common_params & params);
struct llama_context_params common_context_params_to_llama(const common_params & params);
struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const common_cpu_params & params);
struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const cpu_params & params);
// clear LoRA adapters from context, then apply new list of adapters
void common_set_adapter_lora(struct llama_context * ctx, std::vector<common_adapter_lora_info> & lora);
// model endpoint from env
std::string common_get_model_endpoint();
//
// Context utils
//
enum common_context_seq_rm_type {
COMMON_CONTEXT_SEQ_RM_TYPE_NO = 0, // seq_rm not supported (e.g. no memory module)
COMMON_CONTEXT_SEQ_RM_TYPE_PART = 1, // can seq_rm partial sequences
COMMON_CONTEXT_SEQ_RM_TYPE_FULL = 2, // can seq_rm full sequences only
COMMON_CONTEXT_SEQ_RM_TYPE_RS = 3, // can seq_rm partial sequences, bounded by n_rs_seq
};
// check if the llama_context can remove sequences
// note: clears the memory of the context
common_context_seq_rm_type common_context_can_seq_rm(llama_context * ctx);
// aborts execution on failure
void common_context_seq_rm (llama_context * ctx, llama_seq_id seq_id, llama_pos p0, llama_pos p1);
void common_context_seq_add(llama_context * ctx, llama_seq_id seq_id, llama_pos p0, llama_pos p1, llama_pos delta);
void common_context_seq_cp (llama_context * ctx, llama_seq_id seq_id_src, llama_seq_id seq_id_dst, llama_pos p0, llama_pos p1);
std::string get_model_endpoint();
//
// Batch utils
@@ -1043,50 +945,3 @@ ggml_opt_dataset_t common_opt_dataset_init(struct llama_context * ctx, const std
// "adamw" or "sgd" (case insensitive)
enum ggml_opt_optimizer_type common_opt_get_optimizer(const char *);
//
// prompt utils
//
struct common_prompt_checkpoint {
int64_t n_tokens;
llama_pos pos_min;
llama_pos pos_max;
std::vector<uint8_t> data_tgt;
std::vector<uint8_t> data_dft;
size_t size() const;
bool empty() const;
void clear();
void update_pos(
int64_t n_tokens,
llama_pos pos_min,
llama_pos pos_max);
void update_tgt(
llama_context * ctx,
llama_seq_id seq_id,
llama_state_seq_flags flags);
void update_dft(
llama_context * ctx,
llama_seq_id seq_id,
llama_state_seq_flags flags);
void load_tgt(
llama_context * ctx,
llama_seq_id seq_id,
llama_state_seq_flags flags) const;
void load_dft(
llama_context * ctx,
llama_seq_id seq_id,
llama_state_seq_flags flags) const;
void clear_tgt();
void clear_dft();
};

View File

@@ -700,13 +700,13 @@ namespace console {
std::vector<std::string> entries;
size_t viewing_idx = SIZE_MAX;
std::string backup_line; // current line before viewing history
void add(std::string_view line) {
void add(const std::string & line) {
if (line.empty()) {
return;
}
// avoid duplicates with the last entry
if (entries.empty() || entries.back() != line) {
entries.emplace_back(line);
entries.push_back(line);
}
// also clear viewing state
end_viewing();
@@ -1031,12 +1031,11 @@ namespace console {
if (!end_of_stream && !line.empty()) {
// remove the trailing newline for history storage
std::string_view hline = line;
if (!line.empty() && line.back() == '\n') {
hline.remove_suffix(1);
line.pop_back();
}
// TODO: maybe support multiline history entries?
history.add(hline);
history.add(line);
}
fflush(out);

View File

@@ -1,38 +1,9 @@
#include "debug.h"
#include "common.h"
#include "log.h"
#include <cmath>
#include <regex>
#include <string>
#include <vector>
struct common_debug_cb_user_data::impl {
std::vector<uint8_t> data;
std::vector<std::regex> tensor_filters;
bool abort_on_nan{false};
};
common_debug_cb_user_data::common_debug_cb_user_data() : pimpl(std::make_unique<impl>()) {}
common_debug_cb_user_data::~common_debug_cb_user_data() = default;
common_debug_cb_user_data::common_debug_cb_user_data(common_params & params, const std::vector<std::string> & filter_patterns, bool abort_on_nan)
: pimpl(std::make_unique<impl>())
{
for (const auto & pattern : filter_patterns) {
try {
std::string anchored_pattern = "^" + pattern;
pimpl->tensor_filters.emplace_back(anchored_pattern, std::regex::optimize);
} catch (const std::regex_error & e) {
throw std::runtime_error("Invalid regex pattern '" + pattern + "': " + e.what());
}
}
pimpl->abort_on_nan = abort_on_nan;
params.cb_eval = common_debug_cb_eval;
params.cb_eval_user_data = this;
}
static std::string common_ggml_ne_string(const ggml_tensor * t) {
std::string str;
@@ -76,7 +47,8 @@ static float common_ggml_get_float_value(const uint8_t * data,
#define INDENT " "
static void common_debug_print_tensor(uint8_t * data, ggml_type type, const int64_t * ne, const size_t * nb, int64_t n, bool abort_on_nan) {
template <bool abort>
void common_debug_print_tensor(uint8_t * data, ggml_type type, const int64_t * ne, const size_t * nb, int64_t n) {
GGML_ASSERT(n > 0);
float sum = 0;
for (int64_t i3 = 0; i3 < ne[3]; i3++) {
@@ -122,7 +94,7 @@ static void common_debug_print_tensor(uint8_t * data, ggml_type type, const int6
LOG(INDENT "sum = %f\n", sum);
}
if (abort_on_nan) {
if constexpr (abort) {
if (std::isnan(sum)) {
LOG("encountered NaN - aborting\n");
exit(0);
@@ -140,9 +112,8 @@ static void common_debug_print_tensor(uint8_t * data, ggml_type type, const int6
* @param user_data user data to pass at each call back
* @return true to receive data or continue the graph, false otherwise
*/
bool common_debug_cb_eval(struct ggml_tensor * t, bool ask, void * user_data) {
auto * cb_data = (common_debug_cb_user_data *) user_data;
auto * pimpl = cb_data->pimpl.get();
template <bool abort_on_nan> bool common_debug_cb_eval(struct ggml_tensor * t, bool ask, void * user_data) {
auto * cb_data = (base_callback_data *) user_data;
const struct ggml_tensor * src0 = t->src[0];
const struct ggml_tensor * src1 = t->src[1];
@@ -151,10 +122,10 @@ bool common_debug_cb_eval(struct ggml_tensor * t, bool ask, void * user_data) {
return true; // Always retrieve data
}
bool matches_filter = pimpl->tensor_filters.empty();
bool matches_filter = cb_data->tensor_filters.empty();
if (!matches_filter) {
for (const auto & filter : pimpl->tensor_filters) {
for (const auto & filter : cb_data->tensor_filters) {
if (std::regex_search(t->name, filter)) {
matches_filter = true;
break;
@@ -177,14 +148,20 @@ bool common_debug_cb_eval(struct ggml_tensor * t, bool ask, void * user_data) {
if (!is_host) {
auto n_bytes = ggml_nbytes(t);
pimpl->data.resize(n_bytes);
ggml_backend_tensor_get(t, pimpl->data.data(), 0, n_bytes);
cb_data->data.resize(n_bytes);
ggml_backend_tensor_get(t, cb_data->data.data(), 0, n_bytes);
}
if (!ggml_is_quantized(t->type) && matches_filter) {
uint8_t * data = is_host ? (uint8_t *) t->data : pimpl->data.data();
common_debug_print_tensor(data, t->type, t->ne, t->nb, 3, pimpl->abort_on_nan);
uint8_t * data = is_host ? (uint8_t *) t->data : cb_data->data.data();
common_debug_print_tensor<abort_on_nan>(data, t->type, t->ne, t->nb, 3);
}
return true;
}
// Explicit template instantiations
template bool common_debug_cb_eval<false>(ggml_tensor *, bool, void *);
template bool common_debug_cb_eval<true>(ggml_tensor *, bool, void *);
template void common_debug_print_tensor<false>(uint8_t *, ggml_type, const int64_t *, const size_t *, int64_t);
template void common_debug_print_tensor<true>(uint8_t *, ggml_type, const int64_t *, const size_t *, int64_t);

View File

@@ -1,31 +1,43 @@
#pragma once
#include <memory>
#include "common.h"
#include <string>
#include <vector>
#include <regex>
// common debug functions and structs
struct common_params;
// Print a tensor's detailed data
// data - the tensor's data in byte format
// type - the tensor's quantization type
// ne - the tensor dimensions array
// nb - the tensor strides array
// n - the number of rows/columns to fully print
template <bool abort_on_nan> void common_debug_print_tensor(uint8_t * data, ggml_type type, const int64_t * ne, const size_t * nb, int64_t n);
// Intended to use as callback for ggml_backend_sched_eval_callback
// prints tensors that are processed in the computation graph
// by default prints all tensors, but can be configured by creating a `common_debug_cb_user_data` instance with
// non-empty filter_patterns. See examples/debug.cpp for possible usage patterns
// `common_debug_cb_user_data` contains `abort_on_nan` flag that determines whether an error should be thrown whenever a NaN is encountered
// by default prints all tensors, but can be configured by creating a `base_callback_data` instance with
// non-empty filter_patterns. See examples/debug.ccp for possible usage patterns
// The template parameter determines whether an error should be thrown whenever a NaN is encountered
// in a tensor (useful for stopping debug sessions on first erroneous tensor)
// The callback data will be passed as the third parameter (user_data)
bool common_debug_cb_eval(struct ggml_tensor * t, bool ask, void * user_data);
template <bool abort_on_nan> bool common_debug_cb_eval(struct ggml_tensor * t, bool ask, void * user_data);
struct base_callback_data {
std::vector<uint8_t> data;
std::vector<std::regex> tensor_filters;
struct common_debug_cb_user_data {
struct impl;
std::unique_ptr<impl> pimpl;
base_callback_data() = default;
common_debug_cb_user_data();
~common_debug_cb_user_data();
common_debug_cb_user_data(const common_debug_cb_user_data &) = delete;
common_debug_cb_user_data & operator=(const common_debug_cb_user_data &) = delete;
common_debug_cb_user_data(common_params & params, const std::vector<std::string> & filter_patterns, bool abort_on_nan = false);
base_callback_data(common_params & params, const std::vector<std::string> & filter_patterns) {
for (const auto & pattern : filter_patterns) {
try {
std::string anchored_pattern = "^" + pattern;
tensor_filters.emplace_back(anchored_pattern, std::regex::optimize);
} catch (const std::regex_error & e) {
throw std::runtime_error("Invalid regex pattern '" + pattern + "': " + e.what());
}
}
params.cb_eval = common_debug_cb_eval<false>;
params.cb_eval_user_data = this;
}
};

View File

@@ -1,10 +1,9 @@
#include "arg.h"
#include "build-info.h"
#include "common.h"
#include "gguf.h" // for reading GGUF splits
#include "log.h"
#include "download.h"
#include "hf-cache.h"
#define JSON_ASSERT GGML_ASSERT
#include <nlohmann/json.hpp>
@@ -16,7 +15,6 @@
#include <map>
#include <mutex>
#include <regex>
#include <unordered_set>
#include <string>
#include <thread>
#include <vector>
@@ -37,6 +35,8 @@
#endif
#endif
#define LLAMA_MAX_URL_LENGTH 2084 // Maximum URL Length in Chrome: 2083
// isatty
#if defined(_WIN32)
#include <io.h>
@@ -51,6 +51,31 @@ using json = nlohmann::ordered_json;
//
// validate repo name format: owner/repo
static bool validate_repo_name(const std::string & repo) {
static const std::regex repo_regex(R"(^[A-Za-z0-9_.\-]+\/[A-Za-z0-9_.\-]+$)");
return std::regex_match(repo, repo_regex);
}
static std::string get_manifest_path(const std::string & repo, const std::string & tag) {
// we use "=" to avoid clashing with other component, while still being allowed on windows
std::string fname = "manifest=" + repo + "=" + tag + ".json";
if (!validate_repo_name(repo)) {
throw std::runtime_error("error: repo name must be in the format 'owner/repo'");
}
string_replace_all(fname, "/", "=");
return fs_get_cache_file(fname);
}
static std::string read_file(const std::string & fname) {
std::ifstream file(fname);
if (!file) {
throw std::runtime_error(string_format("error: failed to open file '%s'\n", fname.c_str()));
}
std::string content((std::istreambuf_iterator<char>(file)), std::istreambuf_iterator<char>());
file.close();
return content;
}
static void write_file(const std::string & fname, const std::string & content) {
const std::string fname_tmp = fname + ".tmp";
std::ofstream file(fname_tmp);
@@ -107,7 +132,7 @@ static bool is_http_status_ok(int status) {
std::pair<std::string, std::string> common_download_split_repo_tag(const std::string & hf_repo_with_tag) {
auto parts = string_split<std::string>(hf_repo_with_tag, ':');
std::string tag = parts.size() > 1 ? parts.back() : "";
std::string tag = parts.size() > 1 ? parts.back() : "latest";
std::string hf_repo = parts[0];
if (string_split<std::string>(hf_repo, '/').size() != 2) {
throw std::invalid_argument("error: invalid HF repo format, expected <user>/<model>[:quant]\n");
@@ -115,14 +140,11 @@ std::pair<std::string, std::string> common_download_split_repo_tag(const std::st
return {hf_repo, tag};
}
class ProgressBar : public common_download_callback {
class ProgressBar {
static inline std::mutex mutex;
static inline std::map<const ProgressBar *, int> lines;
static inline int max_line = 0;
std::string filename;
size_t len = 0;
static void cleanup(const ProgressBar * line) {
lines.erase(line);
if (lines.empty()) {
@@ -141,33 +163,17 @@ class ProgressBar : public common_download_callback {
public:
ProgressBar() = default;
void on_start(const common_download_progress & p) override {
filename = p.url;
if (auto pos = filename.rfind('/'); pos != std::string::npos) {
filename = filename.substr(pos + 1);
}
if (auto pos = filename.find('?'); pos != std::string::npos) {
filename = filename.substr(0, pos);
}
for (size_t i = 0; i < filename.size(); ++i) {
if ((filename[i] & 0xC0) != 0x80) {
if (len++ == 39) {
filename.resize(i);
filename += "";
break;
}
}
}
}
void on_done(const common_download_progress &, bool) override {
~ProgressBar() {
std::lock_guard<std::mutex> lock(mutex);
cleanup(this);
}
void on_update(const common_download_progress & p) override {
if (!p.total || !is_output_a_tty()) {
void update(size_t current, size_t total) {
if (!is_output_a_tty()) {
return;
}
if (!total) {
return;
}
@@ -179,27 +185,28 @@ public:
}
int lines_up = max_line - lines[this];
size_t bar = (55 - len) * 2;
size_t pct = (100 * p.downloaded) / p.total;
size_t pos = (bar * p.downloaded) / p.total;
size_t width = 50;
size_t pct = (100 * current) / total;
size_t pos = (width * current) / total;
std::cout << "\033[s";
if (lines_up > 0) {
std::cout << "\033[" << lines_up << "A";
}
std::cout << '\r' << "Downloading " << filename << " ";
std::cout << "\033[2K\r["
<< std::string(pos, '=')
<< (pos < width ? ">" : "")
<< std::string(width - pos, ' ')
<< "] " << std::setw(3) << pct << "% ("
<< current / (1024 * 1024) << " MB / "
<< total / (1024 * 1024) << " MB) "
<< "\033[u";
for (size_t i = 0; i < bar; i += 2) {
std::cout << (i + 1 < pos ? "" : (i < pos ? "" : " "));
}
std::cout << std::setw(4) << pct << "%\033[K";
std::cout.flush();
if (lines_up > 0) {
std::cout << "\033[" << lines_up << "B";
}
std::cout << '\r' << std::flush;
if (p.downloaded == p.total) {
cleanup(this);
if (current == total) {
cleanup(this);
}
}
@@ -211,8 +218,8 @@ static bool common_pull_file(httplib::Client & cli,
const std::string & resolve_path,
const std::string & path_tmp,
bool supports_ranges,
common_download_progress & p,
common_download_callback * callback) {
size_t existing_size,
size_t & total_size) {
std::ofstream ofs(path_tmp, std::ios::binary | std::ios::app);
if (!ofs.is_open()) {
LOG_ERR("%s: error opening local file for writing: %s\n", __func__, path_tmp.c_str());
@@ -220,27 +227,29 @@ static bool common_pull_file(httplib::Client & cli,
}
httplib::Headers headers;
if (supports_ranges && p.downloaded > 0) {
headers.emplace("Range", "bytes=" + std::to_string(p.downloaded) + "-");
if (supports_ranges && existing_size > 0) {
headers.emplace("Range", "bytes=" + std::to_string(existing_size) + "-");
}
const char * func = __func__; // avoid __func__ inside a lambda
size_t downloaded = existing_size;
size_t progress_step = 0;
ProgressBar bar;
auto res = cli.Get(resolve_path, headers,
[&](const httplib::Response &response) {
if (p.downloaded > 0 && response.status != 206) {
if (existing_size > 0 && response.status != 206) {
LOG_WRN("%s: server did not respond with 206 Partial Content for a resume request. Status: %d\n", func, response.status);
return false;
}
if (p.downloaded == 0 && response.status != 200) {
if (existing_size == 0 && response.status != 200) {
LOG_WRN("%s: download received non-successful status code: %d\n", func, response.status);
return false;
}
if (p.total == 0 && response.has_header("Content-Length")) {
if (total_size == 0 && response.has_header("Content-Length")) {
try {
size_t content_length = std::stoull(response.get_header_value("Content-Length"));
p.total = p.downloaded + content_length;
total_size = existing_size + content_length;
} catch (const std::exception &e) {
LOG_WRN("%s: invalid Content-Length header: %s\n", func, e.what());
}
@@ -253,16 +262,11 @@ static bool common_pull_file(httplib::Client & cli,
LOG_ERR("%s: error writing to file: %s\n", func, path_tmp.c_str());
return false;
}
p.downloaded += len;
downloaded += len;
progress_step += len;
if (progress_step >= p.total / 1000 || p.downloaded == p.total) {
if (callback) {
callback->on_update(p);
if (callback->is_cancelled()) {
return false;
}
}
if (progress_step >= total_size / 1000 || downloaded == total_size) {
bar.update(downloaded, total_size);
progress_step = 0;
}
return true;
@@ -283,46 +287,41 @@ static bool common_pull_file(httplib::Client & cli,
// download one single file from remote URL to local path
// returns status code or -1 on error
static int common_download_file_single_online(const std::string & url,
const std::string & path,
const common_download_opts & opts,
bool skip_etag) {
static int common_download_file_single_online(const std::string & url,
const std::string & path,
const std::string & bearer_token,
const common_header_list & custom_headers) {
static const int max_attempts = 3;
static const int retry_delay_seconds = 2;
const bool file_exists = std::filesystem::exists(path);
if (file_exists && skip_etag) {
LOG_DBG("%s: using cached file: %s\n", __func__, path.c_str());
return 304; // 304 Not Modified - fake cached response
}
auto [cli, parts] = common_http_client(url);
httplib::Headers headers;
for (const auto & h : opts.headers) {
for (const auto & h : custom_headers) {
headers.emplace(h.first, h.second);
}
if (headers.find("User-Agent") == headers.end()) {
headers.emplace("User-Agent", "llama-cpp/" + std::string(llama_build_info()));
headers.emplace("User-Agent", "llama-cpp/" + build_info);
}
if (!opts.bearer_token.empty()) {
headers.emplace("Authorization", "Bearer " + opts.bearer_token);
if (!bearer_token.empty()) {
headers.emplace("Authorization", "Bearer " + bearer_token);
}
cli.set_default_headers(headers);
const bool file_exists = std::filesystem::exists(path);
std::string last_etag;
if (file_exists) {
last_etag = read_etag(path);
} else {
LOG_DBG("%s: no previous model file found %s\n", __func__, path.c_str());
LOG_INF("%s: no previous model file found %s\n", __func__, path.c_str());
}
auto head = cli.Head(parts.path);
if (!head || head->status < 200 || head->status >= 300) {
LOG_TRC("%s: HEAD failed, status: %d\n", __func__, head ? head->status : -1);
LOG_WRN("%s: HEAD failed, status: %d\n", __func__, head ? head->status : -1);
if (file_exists) {
LOG_TRC("%s: using cached file (HEAD failed): %s\n", __func__, path.c_str());
LOG_INF("%s: using cached file (HEAD failed): %s\n", __func__, path.c_str());
return 304; // 304 Not Modified - fake cached response
}
return head ? head->status : -1;
@@ -333,11 +332,10 @@ static int common_download_file_single_online(const std::string & url,
etag = head->get_header_value("ETag");
}
common_download_progress p;
p.url = url;
size_t total_size = 0;
if (head->has_header("Content-Length")) {
try {
p.total = std::stoull(head->get_header_value("Content-Length"));
total_size = std::stoull(head->get_header_value("Content-Length"));
} catch (const std::exception& e) {
LOG_WRN("%s: invalid Content-Length in HEAD response: %s\n", __func__, e.what());
}
@@ -350,11 +348,11 @@ static int common_download_file_single_online(const std::string & url,
if (file_exists) {
if (etag.empty()) {
LOG_DBG("%s: using cached file (no server etag): %s\n", __func__, path.c_str());
LOG_INF("%s: using cached file (no server etag): %s\n", __func__, path.c_str());
return 304; // 304 Not Modified - fake cached response
}
if (!last_etag.empty() && last_etag == etag) {
LOG_DBG("%s: using cached file (same etag): %s\n", __func__, path.c_str());
LOG_INF("%s: using cached file (same etag): %s\n", __func__, path.c_str());
return 304; // 304 Not Modified - fake cached response
}
if (remove(path.c_str()) != 0) {
@@ -363,23 +361,10 @@ static int common_download_file_single_online(const std::string & url,
}
}
{ // silent
std::error_code ec;
std::filesystem::create_directories(std::filesystem::path(path).parent_path(), ec);
}
bool success = false;
const std::string path_temporary = path + ".downloadInProgress";
int delay = retry_delay_seconds;
if (opts.callback) {
opts.callback->on_start(p);
}
for (int i = 0; i < max_attempts; ++i) {
if (opts.callback && opts.callback->is_cancelled()) {
break;
}
if (i) {
LOG_WRN("%s: retrying after %d seconds...\n", __func__, delay);
std::this_thread::sleep_for(std::chrono::seconds(delay));
@@ -393,44 +378,28 @@ static int common_download_file_single_online(const std::string & url,
existing_size = std::filesystem::file_size(path_temporary);
} else if (remove(path_temporary.c_str()) != 0) {
LOG_ERR("%s: unable to delete file: %s\n", __func__, path_temporary.c_str());
break;
return -1;
}
}
p.downloaded = existing_size;
LOG_DBG("%s: downloading from %s to %s (etag:%s)...\n",
LOG_INF("%s: downloading from %s to %s (etag:%s)...\n",
__func__, common_http_show_masked_url(parts).c_str(),
path_temporary.c_str(), etag.c_str());
if (common_pull_file(cli, parts.path, path_temporary, supports_ranges, p, opts.callback)) {
if (common_pull_file(cli, parts.path, path_temporary, supports_ranges, existing_size, total_size)) {
if (std::rename(path_temporary.c_str(), path.c_str()) != 0) {
LOG_ERR("%s: unable to rename file: %s to %s\n", __func__, path_temporary.c_str(), path.c_str());
break;
return -1;
}
if (!etag.empty() && !skip_etag) {
if (!etag.empty()) {
write_etag(path, etag);
}
success = true;
break;
return head->status;
}
}
if (opts.callback) {
opts.callback->on_done(p, success);
}
if (opts.callback && opts.callback->is_cancelled() &&
std::filesystem::exists(path_temporary)) {
if (remove(path_temporary.c_str()) != 0) {
LOG_ERR("%s: unable to delete temporary file: %s\n", __func__, path_temporary.c_str());
}
}
if (!success) {
LOG_ERR("%s: download failed after %d attempts\n", __func__, max_attempts);
return -1; // max attempts reached
}
return head->status;
LOG_ERR("%s: download failed after %d attempts\n", __func__, max_attempts);
return -1; // max attempts reached
}
std::pair<long, std::vector<char>> common_remote_get_content(const std::string & url,
@@ -442,7 +411,7 @@ std::pair<long, std::vector<char>> common_remote_get_content(const std::string
headers.emplace(h.first, h.second);
}
if (headers.find("User-Agent") == headers.end()) {
headers.emplace("User-Agent", "llama-cpp/" + std::string(llama_build_info()));
headers.emplace("User-Agent", "llama-cpp/" + build_info);
}
if (params.timeout > 0) {
@@ -469,15 +438,11 @@ std::pair<long, std::vector<char>> common_remote_get_content(const std::string
int common_download_file_single(const std::string & url,
const std::string & path,
const common_download_opts & opts,
bool skip_etag) {
if (!opts.offline) {
ProgressBar tty_cb;
common_download_opts online_opts = opts;
if (!online_opts.callback) {
online_opts.callback = &tty_cb;
}
return common_download_file_single_online(url, path, online_opts, skip_etag);
const std::string & bearer_token,
bool offline,
const common_header_list & headers) {
if (!offline) {
return common_download_file_single_online(url, path, bearer_token, headers);
}
if (!std::filesystem::exists(path)) {
@@ -485,361 +450,197 @@ int common_download_file_single(const std::string & url,
return -1;
}
LOG_DBG("%s: using cached file (offline mode): %s\n", __func__, path.c_str());
// notify the callback that the file was cached
if (opts.callback) {
common_download_progress p;
p.url = url;
p.cached = true;
opts.callback->on_start(p);
opts.callback->on_done(p, true);
}
LOG_INF("%s: using cached file (offline mode): %s\n", __func__, path.c_str());
return 304; // Not Modified - fake cached response
}
struct gguf_split_info {
std::string prefix; // tag included
std::string tag;
int index;
int count;
};
// download multiple files from remote URLs to local paths
// the input is a vector of pairs <url, path>
static bool common_download_file_multiple(const std::vector<std::pair<std::string, std::string>> & urls,
const std::string & bearer_token,
bool offline,
const common_header_list & headers) {
// Prepare download in parallel
std::vector<std::future<bool>> futures_download;
futures_download.reserve(urls.size());
static gguf_split_info get_gguf_split_info(const std::string & path) {
static const std::regex re_split("^(.+)-([0-9]{5})-of-([0-9]{5})$", std::regex::icase);
static const std::regex re_tag("[-.]([A-Z0-9_]+)$", std::regex::icase);
std::smatch m;
std::string prefix = path;
if (!string_remove_suffix(prefix, ".gguf")) {
return {};
for (auto const & item : urls) {
futures_download.push_back(
std::async(
std::launch::async,
[&bearer_token, offline, &headers](const std::pair<std::string, std::string> & it) -> bool {
const int http_status = common_download_file_single(it.first, it.second, bearer_token, offline, headers);
return is_http_status_ok(http_status);
},
item
)
);
}
int index = 1;
int count = 1;
if (std::regex_match(prefix, m, re_split)) {
index = std::stoi(m[2].str());
count = std::stoi(m[3].str());
prefix = m[1].str();
}
std::string tag;
if (std::regex_search(prefix, m, re_tag)) {
tag = m[1].str();
for (char & c : tag) {
c = std::toupper((unsigned char)c);
// Wait for all downloads to complete
for (auto & f : futures_download) {
if (!f.get()) {
return false;
}
}
return {std::move(prefix), std::move(tag), index, count};
return true;
}
// Q4_0 -> 4, F16 -> 16, NVFP4 -> 4, Q8_K_M -> 8, etc
static int extract_quant_bits(const std::string & filename) {
auto split = get_gguf_split_info(filename);
auto pos = split.tag.find_first_of("0123456789");
if (pos == std::string::npos) {
return 0;
}
return std::stoi(split.tag.substr(pos));
}
static hf_cache::hf_files get_split_files(const hf_cache::hf_files & files,
const hf_cache::hf_file & file) {
auto split = get_gguf_split_info(file.path);
if (split.count <= 1) {
return {file};
}
hf_cache::hf_files result;
for (const auto & f : files) {
auto split_f = get_gguf_split_info(f.path);
if (split_f.count == split.count && split_f.prefix == split.prefix) {
result.push_back(f);
}
}
return result;
}
// pick the best sibling GGUF whose filename contains `keyword` (e.g. "mmproj" / "mtp"),
// preferring deeper shared directory prefix with the model, then closest quantization
static hf_cache::hf_file find_best_sibling(const hf_cache::hf_files & files,
const std::string & model,
const std::string & keyword) {
hf_cache::hf_file best;
size_t best_depth = 0;
int best_diff = 0;
bool found = false;
auto model_bits = extract_quant_bits(model);
auto model_parts = string_split<std::string>(model, '/');
auto model_dir = model_parts.end() - 1;
for (const auto & f : files) {
if (!string_ends_with(f.path, ".gguf") ||
f.path.find(keyword) == std::string::npos) {
continue;
}
auto sib_parts = string_split<std::string>(f.path, '/');
auto sib_dir = sib_parts.end() - 1;
auto [_, dir] = std::mismatch(model_parts.begin(), model_dir,
sib_parts.begin(), sib_dir);
if (dir != sib_dir) {
continue;
}
size_t depth = dir - sib_parts.begin();
auto bits = extract_quant_bits(f.path);
auto diff = std::abs(bits - model_bits);
if (!found || depth > best_depth || (depth == best_depth && diff < best_diff)) {
best = f;
best_depth = depth;
best_diff = diff;
found = true;
}
}
return best;
}
static hf_cache::hf_file find_best_mmproj(const hf_cache::hf_files & files,
const std::string & model) {
return find_best_sibling(files, model, "mmproj");
}
static hf_cache::hf_file find_best_mtp(const hf_cache::hf_files & files,
const std::string & model) {
return find_best_sibling(files, model, "mtp-");
}
static bool gguf_filename_is_model(const std::string & filepath) {
if (!string_ends_with(filepath, ".gguf")) {
bool common_download_model(const common_params_model & model,
const std::string & bearer_token,
bool offline,
const common_header_list & headers) {
// Basic validation of the model.url
if (model.url.empty()) {
LOG_ERR("%s: invalid model url\n", __func__);
return false;
}
std::string filename = filepath;
if (auto pos = filename.rfind('/'); pos != std::string::npos) {
filename = filename.substr(pos + 1);
const int http_status = common_download_file_single(model.url, model.path, bearer_token, offline, headers);
if (!is_http_status_ok(http_status)) {
return false;
}
return filename.find("mmproj") == std::string::npos &&
filename.find("imatrix") == std::string::npos &&
filename.find("mtp-") == std::string::npos;
}
// check for additional GGUFs split to download
int n_split = 0;
{
struct gguf_init_params gguf_params = {
/*.no_alloc = */ true,
/*.ctx = */ NULL,
};
auto * ctx_gguf = gguf_init_from_file(model.path.c_str(), gguf_params);
if (!ctx_gguf) {
LOG_ERR("\n%s: failed to load input GGUF from %s\n", __func__, model.path.c_str());
return false;
}
static hf_cache::hf_file find_best_model(const hf_cache::hf_files & files,
const std::string & tag) {
std::vector<std::string> tags;
auto key_n_split = gguf_find_key(ctx_gguf, LLM_KV_SPLIT_COUNT);
if (key_n_split >= 0) {
n_split = gguf_get_val_u16(ctx_gguf, key_n_split);
}
if (!tag.empty()) {
tags.push_back(tag);
} else {
tags = {"Q4_K_M", "Q8_0"};
gguf_free(ctx_gguf);
}
for (const auto & t : tags) {
std::regex pattern(t + "[.-]", std::regex::icase);
for (const auto & f : files) {
if (gguf_filename_is_model(f.path) &&
std::regex_search(f.path, pattern)) {
auto split = get_gguf_split_info(f.path);
if (split.count > 1 && split.index != 1) {
continue;
}
return f;
if (n_split > 1) {
char split_prefix[PATH_MAX] = {0};
char split_url_prefix[LLAMA_MAX_URL_LENGTH] = {0};
// Verify the first split file format
// and extract split URL and PATH prefixes
{
if (!llama_split_prefix(split_prefix, sizeof(split_prefix), model.path.c_str(), 0, n_split)) {
LOG_ERR("\n%s: unexpected model file name: %s n_split=%d\n", __func__, model.path.c_str(), n_split);
return false;
}
if (!llama_split_prefix(split_url_prefix, sizeof(split_url_prefix), model.url.c_str(), 0, n_split)) {
LOG_ERR("\n%s: unexpected model url: %s n_split=%d\n", __func__, model.url.c_str(), n_split);
return false;
}
}
}
// fallback to first available model only if tag is empty
if (tag.empty()) {
for (const auto & f : files) {
if (gguf_filename_is_model(f.path)) {
auto split = get_gguf_split_info(f.path);
if (split.count > 1 && split.index != 1) {
continue;
}
return f;
std::vector<std::pair<std::string, std::string>> urls;
for (int idx = 1; idx < n_split; idx++) {
char split_path[PATH_MAX] = {0};
llama_split_path(split_path, sizeof(split_path), split_prefix, idx, n_split);
char split_url[LLAMA_MAX_URL_LENGTH] = {0};
llama_split_path(split_url, sizeof(split_url), split_url_prefix, idx, n_split);
if (std::string(split_path) == model.path) {
continue; // skip the already downloaded file
}
urls.push_back({split_url, split_path});
}
// Download in parallel
common_download_file_multiple(urls, bearer_token, offline, headers);
}
return {};
return true;
}
static void list_available_gguf_files(const hf_cache::hf_files & files) {
LOG_INF("Available GGUF files:\n");
for (const auto & f : files) {
if (string_ends_with(f.path, ".gguf")) {
LOG_INF(" - %s\n", f.path.c_str());
common_hf_file_res common_get_hf_file(const std::string & hf_repo_with_tag,
const std::string & bearer_token,
bool offline,
const common_header_list & custom_headers) {
// the returned hf_repo is without tag
auto [hf_repo, tag] = common_download_split_repo_tag(hf_repo_with_tag);
std::string url = get_model_endpoint() + "v2/" + hf_repo + "/manifests/" + tag;
// headers
common_header_list headers = custom_headers;
headers.push_back({"Accept", "application/json"});
if (!bearer_token.empty()) {
headers.push_back({"Authorization", "Bearer " + bearer_token});
}
// Important: the User-Agent must be "llama-cpp" to get the "ggufFile" field in the response
// User-Agent header is already set in common_remote_get_content, no need to set it here
// make the request
common_remote_params params;
params.headers = headers;
long res_code = 0;
std::string res_str;
bool use_cache = false;
std::string cached_response_path = get_manifest_path(hf_repo, tag);
if (!offline) {
try {
auto res = common_remote_get_content(url, params);
res_code = res.first;
res_str = std::string(res.second.data(), res.second.size());
} catch (const std::exception & e) {
LOG_WRN("error: failed to get manifest at %s: %s\n", url.c_str(), e.what());
}
}
}
struct hf_plan {
hf_cache::hf_file primary;
hf_cache::hf_files model_files;
hf_cache::hf_file mmproj;
hf_cache::hf_file mtp;
};
static hf_plan get_hf_plan(const common_params_model & model,
const common_download_opts & opts,
bool download_mmproj,
bool download_mtp) {
hf_plan plan;
hf_cache::hf_files all;
auto [repo, tag] = common_download_split_repo_tag(model.hf_repo);
if (!opts.offline) {
all = hf_cache::get_repo_files(repo, opts.bearer_token);
}
if (all.empty()) {
all = hf_cache::get_cached_files(repo);
}
if (all.empty()) {
return plan;
if (res_code == 0) {
if (std::filesystem::exists(cached_response_path)) {
LOG_WRN("trying to read manifest from cache: %s\n", cached_response_path.c_str());
res_str = read_file(cached_response_path);
res_code = 200;
use_cache = true;
} else {
throw std::runtime_error(
offline ? "error: failed to get manifest (offline mode)"
: "error: failed to get manifest (check your internet connection)");
}
}
std::string ggufFile;
std::string mmprojFile;
hf_cache::hf_file primary;
if (res_code == 200 || res_code == 304) {
try {
auto j = json::parse(res_str);
if (!model.hf_file.empty()) {
for (const auto & f : all) {
if (f.path == model.hf_file) {
primary = f;
break;
if (j.contains("ggufFile") && j["ggufFile"].contains("rfilename")) {
ggufFile = j["ggufFile"]["rfilename"].get<std::string>();
}
}
if (primary.path.empty()) {
LOG_ERR("%s: file '%s' not found in repository\n", __func__, model.hf_file.c_str());
list_available_gguf_files(all);
return plan;
}
} else {
primary = find_best_model(all, tag);
if (primary.path.empty()) {
LOG_ERR("%s: no GGUF files found in repository %s\n", __func__, repo.c_str());
list_available_gguf_files(all);
return plan;
}
}
plan.primary = primary;
plan.model_files = get_split_files(all, primary);
if (download_mmproj) {
plan.mmproj = find_best_mmproj(all, primary.path);
}
if (download_mtp) {
plan.mtp = find_best_mtp(all, primary.path);
}
return plan;
}
struct download_task {
std::string url;
std::string path;
};
static std::vector<download_task> get_url_tasks(const common_params_model & model) {
auto split = get_gguf_split_info(model.url);
if (split.count <= 1) {
return {{model.url, model.path}};
}
auto filename = split.prefix;
if (auto pos = split.prefix.rfind('/'); pos != std::string::npos) {
filename = split.prefix.substr(pos + 1);
}
auto parent_path = std::filesystem::path(model.path).parent_path();
auto prefix_path = (parent_path / filename).string();
std::vector<download_task> tasks;
for (int i = 1; i <= split.count; i++) {
auto suffix = string_format("-%05d-of-%05d.gguf", i, split.count);
tasks.push_back({split.prefix + suffix, prefix_path + suffix});
}
return tasks;
}
common_download_model_result common_download_model(const common_params_model & model,
const common_download_opts & opts,
bool download_mmproj,
bool download_mtp) {
common_download_model_result result;
std::vector<download_task> tasks;
hf_plan hf;
bool is_hf = !model.hf_repo.empty();
if (is_hf) {
hf = get_hf_plan(model, opts, download_mmproj, download_mtp);
for (const auto & f : hf.model_files) {
tasks.push_back({f.url, f.local_path});
}
if (!hf.mmproj.path.empty()) {
tasks.push_back({hf.mmproj.url, hf.mmproj.local_path});
}
if (!hf.mtp.path.empty()) {
tasks.push_back({hf.mtp.url, hf.mtp.local_path});
}
} else if (!model.url.empty()) {
tasks = get_url_tasks(model);
} else {
result.model_path = model.path;
return result;
}
if (tasks.empty()) {
return result;
}
std::vector<std::future<bool>> futures;
for (const auto & task : tasks) {
futures.push_back(std::async(std::launch::async,
[&task, &opts, is_hf]() {
int status = common_download_file_single(task.url, task.path, opts, is_hf);
return is_http_status_ok(status);
if (j.contains("mmprojFile") && j["mmprojFile"].contains("rfilename")) {
mmprojFile = j["mmprojFile"]["rfilename"].get<std::string>();
}
));
}
for (auto & f : futures) {
if (!f.get()) {
return {};
} catch (const std::exception & e) {
throw std::runtime_error(std::string("error parsing manifest JSON: ") + e.what());
}
}
if (is_hf) {
for (const auto & f : hf.model_files) {
hf_cache::finalize_file(f);
}
result.model_path = hf.primary.final_path;
if (!hf.mmproj.path.empty()) {
result.mmproj_path = hf_cache::finalize_file(hf.mmproj);
}
if (!hf.mtp.path.empty()) {
result.mtp_path = hf_cache::finalize_file(hf.mtp);
if (!use_cache) {
// if not using cached response, update the cache file
write_file(cached_response_path, res_str);
}
} else if (res_code == 401) {
throw std::runtime_error("error: model is private or does not exist; if you are accessing a gated model, please provide a valid HF token");
} else {
result.model_path = model.path;
throw std::runtime_error(string_format("error from HF API (%s), response code: %ld, data: %s", url.c_str(), res_code, res_str.c_str()));
}
return result;
// check response
if (ggufFile.empty()) {
throw std::runtime_error("error: model does not have ggufFile");
}
return { hf_repo, ggufFile, mmprojFile };
}
//
@@ -950,9 +751,7 @@ std::string common_docker_resolve_model(const std::string & docker) {
std::string local_path = fs_get_cache_file(model_filename);
const std::string blob_url = url_prefix + "/blobs/" + gguf_digest;
common_download_opts opts;
opts.bearer_token = token;
const int http_status = common_download_file_single(blob_url, local_path, opts);
const int http_status = common_download_file_single(blob_url, local_path, token, false, {});
if (!is_http_status_ok(http_status)) {
throw std::runtime_error("Failed to download Docker Model");
}
@@ -966,22 +765,28 @@ std::string common_docker_resolve_model(const std::string & docker) {
}
std::vector<common_cached_model_info> common_list_cached_models() {
std::unordered_set<std::string> seen;
std::vector<common_cached_model_info> result;
auto files = hf_cache::get_cached_files();
for (const auto & f : files) {
auto split = get_gguf_split_info(f.path);
if (split.index != 1 || split.tag.empty() ||
split.prefix.find("mmproj") != std::string::npos ||
split.prefix.find("mtp-") != std::string::npos) {
continue;
}
if (seen.insert(f.repo_id + ":" + split.tag).second) {
result.push_back({f.repo_id, split.tag});
std::vector<common_cached_model_info> models;
const std::string cache_dir = fs_get_cache_directory();
const std::vector<common_file_info> files = fs_list(cache_dir, false);
for (const auto & file : files) {
if (string_starts_with(file.name, "manifest=") && string_ends_with(file.name, ".json")) {
common_cached_model_info model_info;
model_info.manifest_path = file.path;
std::string fname = file.name;
string_replace_all(fname, ".json", ""); // remove extension
auto parts = string_split<std::string>(fname, '=');
if (parts.size() == 4) {
// expect format: manifest=<user>=<model>=<tag>=<other>
model_info.user = parts[1];
model_info.model = parts[2];
model_info.tag = parts[3];
} else {
// invalid format
continue;
}
model_info.size = 0; // TODO: get GGUF size, not manifest size
models.push_back(model_info);
}
}
return result;
return models;
}

View File

@@ -8,22 +8,6 @@ struct common_params_model;
using common_header = std::pair<std::string, std::string>;
using common_header_list = std::vector<common_header>;
struct common_download_progress {
std::string url;
size_t downloaded = 0;
size_t total = 0;
bool cached = false;
};
class common_download_callback {
public:
virtual ~common_download_callback() = default;
virtual void on_start(const common_download_progress & p) = 0;
virtual void on_update(const common_download_progress & p) = 0;
virtual void on_done(const common_download_progress & p, bool ok) = 0;
virtual bool is_cancelled() const { return false; }
};
struct common_remote_params {
common_header_list headers;
long timeout = 0; // in seconds, 0 means no timeout
@@ -33,65 +17,55 @@ struct common_remote_params {
// get remote file content, returns <http_code, raw_response_body>
std::pair<long, std::vector<char>> common_remote_get_content(const std::string & url, const common_remote_params & params);
// split HF repo with tag into <repo, tag>, for example:
// - "ggml-org/models:F16" -> <"ggml-org/models", "F16">
// tag is optional and can be empty
// split HF repo with tag into <repo, tag>
// for example: "user/model:tag" -> <"user/model", "tag">
// if tag is not present, default to "latest"
// example: "user/model" -> <"user/model", "latest">
std::pair<std::string, std::string> common_download_split_repo_tag(const std::string & hf_repo_with_tag);
// Result of common_list_cached_models
struct common_cached_model_info {
std::string repo;
std::string manifest_path;
std::string user;
std::string model;
std::string tag;
size_t size = 0; // GGUF size in bytes
// return string representation like "user/model:tag"
// if tag is "latest", it will be omitted
std::string to_string() const {
return repo + ":" + tag;
return user + "/" + model + (tag == "latest" ? "" : ":" + tag);
}
};
// Options for common_download_model and common_download_file_single
struct common_download_opts {
std::string bearer_token;
common_header_list headers;
bool offline = false;
common_download_callback * callback = nullptr;
struct common_hf_file_res {
std::string repo; // repo name with ":tag" removed
std::string ggufFile;
std::string mmprojFile;
};
// Result of common_download_model
struct common_download_model_result {
std::string model_path;
std::string mmproj_path;
std::string mtp_path;
};
/**
* Allow getting the HF file from the HF repo with tag (like ollama), for example:
* - bartowski/Llama-3.2-3B-Instruct-GGUF:q4
* - bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M
* - bartowski/Llama-3.2-3B-Instruct-GGUF:q5_k_s
* Tag is optional, default to "latest" (meaning it checks for Q4_K_M first, then Q4, then if not found, return the first GGUF file in repo)
*
* Return pair of <repo, file> (with "repo" already having tag removed)
*
* Note: we use the Ollama-compatible HF API, but not using the blobId. Instead, we use the special "ggufFile" field which returns the value for "hf_file". This is done to be backward-compatible with existing cache files.
*/
common_hf_file_res common_get_hf_file(
const std::string & hf_repo_with_tag,
const std::string & bearer_token,
bool offline,
const common_header_list & headers = {}
);
// Download model from HuggingFace repo or URL
//
// input (via model struct):
// - model.hf_repo: HF repo with optional tag, see common_download_split_repo_tag
// - model.hf_file: specific file in the repo (requires hf_repo)
// - model.url: simple download (used if hf_repo is empty)
// - model.path: local file path
//
// tag matching (for HF repos without model.hf_file):
// - if tag is specified, searches for GGUF matching that quantization
// - if no tag, searches for Q4_K_M, then Q4_0, then first available GGUF
//
// split GGUF: multi-part files like "model-00001-of-00003.gguf" are automatically
// detected and all parts are downloaded
//
// caching:
// - HF repos: uses HuggingFace cache
// - URLs: uses ETag-based caching
//
// when opts.offline=true, no network requests are made
// when download_mmproj=true, searches for mmproj in same directory as model or any parent directory
// then with the closest quantization bits
// when download_mtp=true, applies the same sibling search for an MTP-head GGUF
//
// returns result with model_path, mmproj_path and mtp_path (empty when not found / on failure)
common_download_model_result common_download_model(
// returns true if download succeeded
bool common_download_model(
const common_params_model & model,
const common_download_opts & opts = {},
bool download_mmproj = false,
bool download_mtp = false
const std::string & bearer_token,
bool offline,
const common_header_list & headers = {}
);
// returns list of cached models
@@ -99,11 +73,11 @@ std::vector<common_cached_model_info> common_list_cached_models();
// download single file from url to local path
// returns status code or -1 on error
// skip_etag: if true, don't read/write .etag files (for HF cache where filename is the hash)
int common_download_file_single(const std::string & url,
const std::string & path,
const common_download_opts & opts = {},
bool skip_etag = false);
const std::string & bearer_token,
bool offline,
const common_header_list & headers = {});
// resolve and download model from Docker registry
// return local path to downloaded model file

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