ci : make release workflows use a deply key

.devops/intel.Dockerfile

@@ -1,4 +1,4 @@
-ARG ONEAPI_VERSION=2026.1.1-devel-ubuntu24.04
+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
@@ -19,7 +19,7 @@ RUN npm ci
 COPY tools/ui/ ./
 RUN LLAMA_BUILD_NUMBER="$APP_VERSION" npm run build
 
-FROM docker.io/intel/oneapi-toolkit:$ONEAPI_VERSION AS build
+FROM docker.io/intel/deep-learning-essentials:$ONEAPI_VERSION AS build
 
 ARG GGML_SYCL_F16=ON
 ARG LEVEL_ZERO_VERSION=1.28.2
@@ -59,7 +59,7 @@ RUN mkdir -p /app/full \
     && cp requirements.txt /app/full \
     && cp .devops/tools.sh /app/full/tools.sh
 
-FROM docker.io/intel/oneapi-toolkit:$ONEAPI_VERSION AS base
+FROM docker.io/intel/deep-learning-essentials:$ONEAPI_VERSION AS base
 
 ARG BUILD_DATE=N/A
 ARG APP_VERSION=N/A

.devops/musa.Dockerfile

@@ -1,9 +1,10 @@
 ARG UBUNTU_VERSION=22.04
 # This needs to generally match the container host's environment.
+ARG MUSA_VERSION=rc4.3.0
 # Target the MUSA build image
-ARG BASE_MUSA_DEV_CONTAINER=registry.mthreads.com/mcconline/musa_sdk:5.2.0-devel-ubuntu${UBUNTU_VERSION}-s5000
+ARG BASE_MUSA_DEV_CONTAINER=docker.io/mthreads/musa:${MUSA_VERSION}-devel-ubuntu${UBUNTU_VERSION}-amd64
 
-ARG BASE_MUSA_RUN_CONTAINER=registry.mthreads.com/mcconline/musa_sdk:5.2.0-runtime-ubuntu${UBUNTU_VERSION}-s5000
+ARG BASE_MUSA_RUN_CONTAINER=docker.io/mthreads/musa:${MUSA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}-amd64
 
 ARG BUILD_DATE=N/A
 ARG APP_VERSION=N/A
@@ -36,10 +37,7 @@ RUN apt-get update && \
     python3-pip \
     git \
     libssl-dev \
-    libgomp1 \
-    musa-mualg-5-2 \
-    musa-muthrust-5-2 \
-    libmthreads-compute
+    libgomp1
 
 WORKDIR /app
 
@@ -82,16 +80,13 @@ LABEL org.opencontainers.image.created=$BUILD_DATE \
       org.opencontainers.image.source=$IMAGE_SOURCE
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl ffmpeg libmthreads-compute \
+    && apt-get install -y libgomp1 curl ffmpeg \
     && 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
 
-# The MUSA runtime image does not register its library directory
-RUN echo "/usr/local/musa/lib" > /etc/ld.so.conf.d/musa-runtime.conf && ldconfig
-
 COPY --from=build /app/lib/ /app
 
 ### Full

.devops/nix/package.nix

@@ -31,7 +31,7 @@
     ]
     && blas.meta.available,
   useCuda ? config.cudaSupport,
-  useMetalKit ? stdenv.hostPlatform.isAarch64 && stdenv.hostPlatform.isDarwin,
+  useMetalKit ? stdenv.isAarch64 && stdenv.isDarwin,
   # Increases the runtime closure size by ~700M
   useMpi ? false,
   useRocm ? config.rocmSupport,
@@ -92,7 +92,7 @@ let
 
   cudaBuildInputs = with cudaPackages; [
     cuda_cudart
-    cccl # <nv/target>
+    cuda_cccl # <nv/target>
     libcublas
   ];
 
@@ -166,7 +166,7 @@ effectiveStdenv.mkDerivation (finalAttrs: {
   # `xcrun` is used find the path of the Metal compiler, which is varible
   # and not on $PATH
   # see https://github.com/ggml-org/llama.cpp/pull/6118 for discussion
-  __noChroot = effectiveStdenv.hostPlatform.isDarwin && useMetalKit && precompileMetalShaders;
+  __noChroot = effectiveStdenv.isDarwin && useMetalKit && precompileMetalShaders;
 
   nativeBuildInputs =
     [
@@ -181,10 +181,10 @@ effectiveStdenv.mkDerivation (finalAttrs: {
       autoAddDriverRunpath
     ]
     ++ optionals (effectiveStdenv.hostPlatform.isGnu && enableStatic) [ glibc.static ]
-    ++ optionals (effectiveStdenv.hostPlatform.isDarwin && useMetalKit && precompileMetalShaders) [ xcrunHost ];
+    ++ optionals (effectiveStdenv.isDarwin && useMetalKit && precompileMetalShaders) [ xcrunHost ];
 
   buildInputs =
-    optionals effectiveStdenv.hostPlatform.isDarwin darwinBuildInputs
+    optionals effectiveStdenv.isDarwin darwinBuildInputs
     ++ optionals useCuda cudaBuildInputs
     ++ optionals useMpi [ mpi ]
     ++ optionals useRocm rocmBuildInputs
@@ -245,7 +245,7 @@ effectiveStdenv.mkDerivation (finalAttrs: {
 
     # Configurations that are known to result in build failures. Can be
     # overridden by importing Nixpkgs with `allowBroken = true`.
-    broken = (useMetalKit && !effectiveStdenv.hostPlatform.isDarwin);
+    broken = (useMetalKit && !effectiveStdenv.isDarwin);
 
     description = "Inference of LLaMA model in pure C/C++${descriptionSuffix}";
     homepage = "https://github.com/ggml-org/llama.cpp/";

.devops/openvino.Dockerfile

@@ -1,18 +1,18 @@
-ARG OPENVINO_VERSION_MAJOR=2026.4.1
-ARG OPENVINO_VERSION_FULL=2026.4.1.22982.07f9c262b05
+ARG OPENVINO_VERSION_MAJOR=2026.2.1
+ARG OPENVINO_VERSION_FULL=2026.2.1.21919.ede283a88e3
 ARG UBUNTU_VERSION=24.04
 
 # Intel GPU driver versions. https://github.com/intel/compute-runtime/releases
-ARG IGC_VERSION=v2.41.5
-ARG IGC_VERSION_FULL=2_2.41.5+22716
-ARG COMPUTE_RUNTIME_VERSION=26.35.39758.10
-ARG COMPUTE_RUNTIME_VERSION_FULL=26.35.39758.10-0
+ARG IGC_VERSION=v2.36.3
+ARG IGC_VERSION_FULL=2_2.36.3+21719
+ARG COMPUTE_RUNTIME_VERSION=26.22.38646.4
+ARG COMPUTE_RUNTIME_VERSION_FULL=26.22.38646.4-0
 ARG IGDGMM_VERSION=22.10.0
 
 # Intel NPU driver versions. https://github.com/intel/linux-npu-driver/releases
-ARG NPU_DRIVER_VERSION=v1.38.0
-ARG NPU_DRIVER_FULL=v1.38.0.20260910-34487311128
-ARG LIBZE1_VERSION=1.32.0-1~24.04~ppa1
+ARG NPU_DRIVER_VERSION=v1.33.0
+ARG NPU_DRIVER_FULL=v1.33.0.20260529-26625960453
+ARG LIBZE1_VERSION=1.27.0-1~24.04~ppa2
 
 # Optional proxy build arguments
 ARG http_proxy=
@@ -90,9 +90,6 @@ RUN bash -c "source ${OpenVINO_DIR}/setupvars.sh && \
     cmake -B build/ReleaseOV -G Ninja \
         -DCMAKE_BUILD_TYPE=Release \
         -DLLAMA_BUILD_TESTS=OFF \
-        -DGGML_NATIVE=OFF \
-        -DGGML_BACKEND_DL=ON \
-        -DGGML_CPU_ALL_VARIANTS=ON \
         -DGGML_OPENVINO=ON && \
     cmake --build build/ReleaseOV --parallel "
 
@@ -173,7 +170,7 @@ RUN --mount=type=cache,target=/var/cache/intel-npu,sharing=locked \
     fi; \
     DEB=/var/cache/intel-npu/libze1_${LIBZE1_VERSION}_amd64.deb; \
     if [ ! -f "$DEB" ]; then \
-        wget -q -O "$DEB" https://snapshot.ppa.launchpadcontent.net/kobuk-team/intel-graphics/ubuntu/20260830T100000Z/pool/main/l/level-zero-loader/libze1_${LIBZE1_VERSION}_amd64.deb; \
+        wget -q -O "$DEB" https://snapshot.ppa.launchpadcontent.net/kobuk-team/intel-graphics/ubuntu/20260324T100000Z/pool/main/l/level-zero-loader/libze1_${LIBZE1_VERSION}_amd64.deb; \
     fi; \
     mkdir /tmp/npu/ && cd /tmp/npu/ && tar -xf "$TGZ" && cp "$DEB" .; \
     apt-get update; \

.ecrc

@@ -1,5 +1,5 @@
 {
-  "Exclude": ["^\\.gitmodules$", "stb_image\\.h", "examples/test-cmake/build/", "examples/test-cmake/build-subdir/"],
+  "Exclude": ["^\\.gitmodules$", "stb_image\\.h"],
   "Disable": {
     "IndentSize": true
   }

.github/ISSUE_TEMPLATE/config.yml

@@ -1,4 +1,4 @@
-blank_issues_enabled: false
+blank_issues_enabled: true
 contact_links:
   - name: Got an idea?
     url: https://github.com/ggml-org/llama.cpp/discussions/categories/ideas

.github/actions/ccache-buckets/action.yml

@@ -1,95 +0,0 @@
-name: "ccache-buckets"
-description: "Save/restore latest GitHub Actions ccache matching a key prefix to/from HF buckets"
-inputs:
-  key:
-    description: "Cache key prefix to match and load"
-    required: true
-  folder:
-    description: "Bucket folder containing ccache files"
-    required: true
-  evict-old-files:
-    description: "Corresponds to the ccache --evict-older-than AGE option, where AGE is the number of seconds or days followed by the 's' or 'd' suffix respectively."
-    default: ''
-  save:
-    description: "Save ccache"
-    required: false
-    default: false
-    type: boolean
-  hf_bucket:
-    description: 'Hugging Face buckets path'
-    required: true
-
-runs:
-  using: "composite"
-  steps:
-    - name: Install Hugging Face Hub CLI
-      shell: bash
-      run: |
-        python3 -m venv .venv-hf
-        .venv-hf/bin/pip install -U huggingface_hub==1.28.0
-
-    - name: Restore ccache from buckets
-      if: ${{ inputs.save != 'true' }}
-      shell: bash
-      run: |
-        set +e -uo pipefail
-        source .venv-hf/bin/activate
-        CCACHE_DIR=$(ccache -k cache_dir)
-        if [[ -d "$CCACHE_DIR" ]]; then
-            CACHE_PATH=$(hf buckets list "hf://buckets/${{ inputs.hf_bucket }}/${{ inputs.folder }}" --json | jq -r '[.[] | select(.type == "file") | select(.path | startswith("${{ inputs.folder }}/${{ inputs.key }}") and endswith(".tar.gz"))] | sort_by(.path) | last | .path // ""')
-            if [[ -n "$CACHE_PATH" ]]; then
-                echo "Restoring ccache from '$CACHE_PATH'."
-                hf buckets cp "hf://buckets/${{ inputs.hf_bucket }}/$CACHE_PATH" ccache_bucket.tar.gz
-                mkdir -p ccache_bucket
-                if tar -xzf ccache_bucket.tar.gz -C ccache_bucket; then
-                    rm -rf "$CCACHE_DIR"
-                    mv ccache_bucket "$CCACHE_DIR"
-                    ccache -z
-                fi
-                rm ccache_bucket.tar.gz
-            else
-                echo "No ccache found."
-            fi
-        else
-            echo "'$CCACHE_DIR' not found."
-        fi
-
-    - name: Save ccache to buckets
-      if: ${{ inputs.save == 'true' }}
-      shell: bash
-      run: |
-        if [[ -n "$HF_TOKEN" ]]; then
-            set +e -uo pipefail
-            source .venv-hf/bin/activate
-            CCACHE_DIR=$(ccache -k cache_dir)
-            if [[ -d "$CCACHE_DIR" ]]; then
-                ccache -s
-                if [[ -n "${{ inputs.evict-old-files }}" ]]; then
-                    ccache --evict-older-than "${{ inputs.evict-old-files }}"
-                fi
-                DATESTAMP=$(date -u +'%Y-%m-%dT%H:%M:%SZ')
-                CACHEFILE="${{ inputs.key }}-$DATESTAMP.tar.gz"
-                if tar -czf ccache_bucket.tar.gz -C "$CCACHE_DIR" .; then
-                    hf buckets cp ccache_bucket.tar.gz "hf://buckets/${{ inputs.hf_bucket }}/${{ inputs.folder }}/$CACHEFILE"
-                fi
-                rm ccache_bucket.tar.gz
-            else
-                echo "'$CCACHE_DIR' not found."
-            fi
-        fi
-
-    - name: Remove old ccache files from buckets
-      if: ${{ inputs.save == 'true' }}
-      shell: bash
-      run: |
-        if [[ -n "$HF_TOKEN" ]]; then
-            set +e -uo pipefail
-            source .venv-hf/bin/activate
-            CACHE_FILES=$(hf buckets list "hf://buckets/${{ inputs.hf_bucket }}/${{ inputs.folder }}" --json | jq -r '[.[] | select(.type == "file") | select((.uploaded_at | .[:19]+"Z" | fromdateiso8601) < (now - 5 * 60)) | select(.path | startswith("${{ inputs.folder }}/${{ inputs.key }}") and endswith(".tar.gz"))] | sort_by(.path)[:-1] | .[] | [.path // ""] | @tsv')
-            if [[ -n "$CACHE_FILES" ]]; then
-                echo "Removing old ccache files..."
-                while IFS=$'\t' read -r CACHE_PATH; do
-                    hf buckets rm "hf://buckets/${{ inputs.hf_bucket }}/$CACHE_PATH" -y
-                done <<< "$CACHE_FILES"
-            fi
-        fi

.github/actions/ccache-clear/action.yml

@@ -1,50 +1,22 @@
-# note: place this as the last step of the job, so the new cache is saved by "Post ccache" right after the old one is cleared
 name: "ccache-clear"
-description: "Delete GitHub Actions caches matching a key prefix, oldest first"
+description: "Delete all GitHub Actions caches matching a key prefix"
 inputs:
   key:
     description: "Cache key prefix to match and delete"
     required: true
-  older:
-    description: "Only delete caches created more than this long ago (e.g. 90m, 1h, 1d). By default all matching caches are deleted"
-    required: false
-    default: ""
-  min:
-    description: "Stop deleting if fewer than this many caches would remain (e.g. 1). By default there is no minimum"
-    required: false
-    default: "0"
-  dry-run:
-    description: "Only print the caches that would be deleted, without deleting them"
-    required: false
-    default: "false"
 
 runs:
   using: "composite"
   steps:
-    - name: Install GitHub CLI if missing
-      shell: bash
-      run: |
-        # e.g. in container jobs, where it is not preinstalled
-        if ! command -v gh >/dev/null 2>&1; then
-          echo "GitHub CLI not found, installing..."
-          if ! command -v curl >/dev/null 2>&1; then
-            apt-get update >/dev/null 2>&1 || true
-            apt-get install -y curl >/dev/null 2>&1 || true
-          fi
-          mkdir -p -m 755 /etc/apt/keyrings
-          curl -fsSL https://cli.github.com/packages/githubcli-archive-keyring.gpg | tee /etc/apt/keyrings/githubcli-archive-keyring.gpg >/dev/null
-          chmod go+r /etc/apt/keyrings/githubcli-archive-keyring.gpg
-          echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/githubcli-archive-keyring.gpg] https://cli.github.com/packages stable main" > /etc/apt/sources.list.d/github-cli.list
-          apt-get update >/dev/null 2>&1 || true
-          apt-get install -y gh || { echo "Failed to install GitHub CLI (gh)" >&2; exit 1; }
-        fi
-        command -v gh >/dev/null 2>&1 || { echo "GitHub CLI (gh) is required but could not be installed" >&2; exit 1; }
-
     - name: Clear caches
       shell: bash
       run: |
-        bash scripts/ccache-clear.sh \
-          --key "${{ inputs.key }}" \
-          --older "${{ inputs.older }}" \
-          --min "${{ inputs.min }}" \
-          ${{ inputs.dry-run == 'true' && '--dry-run' || '' }}
+        CACHES=$(gh cache list --key "ccache-${{ inputs.key }}" --json id,key --jq '.[] | "\(.id) \(.key)"' 2>/dev/null)
+        if [ -z "$CACHES" ]; then
+          echo "No caches found with key prefix: ${{ inputs.key }}"
+          exit 0
+        fi
+        while read -r id key; do
+          echo "Deleting cache: $id ($key)"
+          gh cache delete "$id"
+        done <<< "$CACHES"

.github/actions/get-tag-name/action.yml

@@ -14,7 +14,7 @@ runs:
       run: |
         BUILD_NUMBER="$(git rev-list --count HEAD)"
         SHORT_HASH="$(git rev-parse --short=7 HEAD)"
-        if [[ "${{ env.BRANCH_NAME }}" == "master" || "${{ env.BRANCH_NAME }}" == "b${BUILD_NUMBER}" ]]; then
+        if [[ "${{ env.BRANCH_NAME }}" == "master" ]]; then
           echo "name=b${BUILD_NUMBER}" >> $GITHUB_OUTPUT
         else
           SAFE_NAME=$(echo "${{ env.BRANCH_NAME }}" | tr '/' '-')

.github/actions/linux-setup-vulkan/action.yml

@@ -0,0 +1,20 @@
+name: "Linux - Setup Vulkan SDK"
+description: "Setup Vulkan SDK for Linux"
+inputs:
+  path:
+    description: "Installation path"
+    required: true
+  version:
+    description: "Vulkan SDK version"
+    required: true
+
+runs:
+  using: "composite"
+  steps:
+    - name: Setup Vulkan SDK
+      id: setup
+      uses: ./.github/actions/unarchive-tar
+      with:
+        url: https://sdk.lunarg.com/sdk/download/${{ inputs.version }}/linux/vulkan_sdk.tar.xz
+        path: ${{ inputs.path }}
+        strip: 1

.github/actions/windows-setup-cuda/action.yml

@@ -6,7 +6,8 @@ inputs:
     required: true
   cuda_arch:
     description: "CUDA target architecture"
-    required: true
+    required: false
+    default: "x64"
 
 runs:
   using: "composite"
@@ -100,36 +101,36 @@ runs:
           echo "CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
           echo "CUDA_PATH_V13_1=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
 
-    - name: Install Cuda Toolkit 13.4 for x64
-      if: ${{ inputs.cuda_version == '13.4' && inputs.cuda_arch == 'x64' }}
+    - name: Install Cuda Toolkit 13.3
+      if: ${{ inputs.cuda_version == '13.3' }}
       shell: pwsh
       run: |
-          mkdir -p "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4"
+          mkdir -p "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3"
           choco install unzip -y
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_crt/windows-x86_64/cuda_crt-windows-x86_64-13.4.59-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cudart/windows-x86_64/cuda_cudart-windows-x86_64-13.4.49-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-13.4.59-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-13.4.59-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libcublas/windows-x86_64/libcublas-windows-x86_64-13.7.0.27-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libnvvm/windows-x86_64/libnvvm-windows-x86_64-13.4.59-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvtx/windows-x86_64/cuda_nvtx-windows-x86_64-13.4.49-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_profiler_api/windows-x86_64/cuda_profiler_api-windows-x86_64-13.4.49-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-13.4.49-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cccl/windows-x86_64/cccl-windows-x86_64-13.3.4.2.1-archive.zip"
-          unzip '*.zip' -d "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4"
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_crt-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_cudart-windows-x86_64-13.4.49-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_nvcc-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_nvrtc-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\libcublas-windows-x86_64-13.7.0.27-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\libnvvm-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_nvtx-windows-x86_64-13.4.49-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_profiler_api-windows-x86_64-13.4.49-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\visual_studio_integration-windows-x86_64-13.4.49-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cccl-windows-x86_64-13.3.4.2.1-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
-          echo "CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
-          echo "CUDA_PATH_V13_4=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
+          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_crt/windows-x86_64/cuda_crt-windows-x86_64-13.3.33-archive.zip"
+          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cudart/windows-x86_64/cuda_cudart-windows-x86_64-13.3.29-archive.zip"
+          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-13.3.33-archive.zip"
+          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-13.3.33-archive.zip"
+          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libcublas/windows-x86_64/libcublas-windows-x86_64-13.5.1.27-archive.zip"
+          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libnvvm/windows-x86_64/libnvvm-windows-x86_64-13.3.33-archive.zip"
+          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvtx/windows-x86_64/cuda_nvtx-windows-x86_64-13.3.29-archive.zip"
+          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_profiler_api/windows-x86_64/cuda_profiler_api-windows-x86_64-13.3.27-archive.zip"
+          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-13.3.27-archive.zip"
+          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cccl/windows-x86_64/cccl-windows-x86_64-13.3.3.3.1-archive.zip"
+          unzip '*.zip' -d "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3"
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3\cuda_crt-windows-x86_64-13.3.33-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3\cuda_cudart-windows-x86_64-13.3.29-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3\cuda_nvcc-windows-x86_64-13.3.33-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3\cuda_nvrtc-windows-x86_64-13.3.33-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3\libcublas-windows-x86_64-13.5.1.27-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3\libnvvm-windows-x86_64-13.3.33-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3\cuda_nvtx-windows-x86_64-13.3.29-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3\cuda_profiler_api-windows-x86_64-13.3.27-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3\visual_studio_integration-windows-x86_64-13.3.27-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3\cccl-windows-x86_64-13.3.3.3.1-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" /E /I /H /Y
+          echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
+          echo "CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
+          echo "CUDA_PATH_V13_3=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.3" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
 
     - name: Install Cuda Toolkit 13.4 for ARM64
       if: ${{ inputs.cuda_version == '13.4' && inputs.cuda_arch == 'arm64' }}
@@ -137,19 +138,19 @@ runs:
       run: |
           mkdir -p "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4"
           choco install unzip -y
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cccl/windows-x86_64/cccl-windows-x86_64-13.3.4.2.1-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_crt/windows-x86_64/cuda_crt-windows-x86_64-13.4.59-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-13.4.59-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libnvvm/windows-x86_64/libnvvm-windows-x86_64-13.4.59-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cudart/windows-arm64/cuda_cudart-windows-arm64-13.4.49-archive.zip"
-          curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libcublas/windows-arm64/libcublas-windows-arm64-13.7.0.27-archive.zip"
+          curl -O "https://packages.nvidia.com/bin-archive/pool/windows-x86_64/5B515474-7E78-11F1-8656-C51E4F4B317F/cccl-windows-x86_64-13.3.4.1.2-archive.zip"
+          curl -O "https://packages.nvidia.com/bin-archive/pool/windows-x86_64/5B515474-7E78-11F1-8656-C51E4F4B317F/cuda_crt-windows-x86_64-13.4.46-archive.zip"
+          curl -O "https://packages.nvidia.com/bin-archive/pool/windows-x86_64/5B515474-7E78-11F1-8656-C51E4F4B317F/cuda_nvcc-windows-x86_64-13.4.46-archive.zip"
+          curl -O "https://packages.nvidia.com/bin-archive/pool/windows-x86_64/5B515474-7E78-11F1-8656-C51E4F4B317F/libnvvm-windows-x86_64-13.4.46-archive.zip"
+          curl -O "https://packages.nvidia.com/bin-archive/pool/windows-arm64/5B515474-7E78-11F1-8656-C51E4F4B317F/cuda_cudart-windows-arm64-13.4.46-archive.zip"
+          curl -O "https://packages.nvidia.com/bin-archive/pool/windows-arm64/5B515474-7E78-11F1-8656-C51E4F4B317F/libcublas-windows-arm64-13.7.0.10-archive.zip"
           unzip '*.zip' -d "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4"
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cccl-windows-x86_64-13.3.4.2.1-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_crt-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_nvcc-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\libnvvm-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_cudart-windows-arm64-13.4.49-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
-          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\libcublas-windows-arm64-13.7.0.27-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cccl-windows-x86_64-13.3.4.1.2-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_crt-windows-x86_64-13.4.46-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_nvcc-windows-x86_64-13.4.46-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\libnvvm-windows-x86_64-13.4.46-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_cudart-windows-arm64-13.4.46-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
+          xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\libcublas-windows-arm64-13.7.0.10-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
           echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
           echo "CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
           echo "CUDA_PATH_V13_4=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8

.github/actions/windows-setup-rocm/action.yml

@@ -24,7 +24,7 @@ runs:
 
         write-host "Installing ROCm wheels for multi-arch support"
         # Install ROCm wheels for multi-arch support (this may take several minutes)
-        python -m pip install --index-url https://stable.repo.amd.com/rocm/whl-next/ "rocm[libraries,devel]==${{ inputs.version }}"
+        python -m pip install --index-url https://repo.amd.com/rocm/whl-multi-arch/ "rocm[libraries,devel]==${{ inputs.version }}"
 
         # Pre-expand the devel tree so it is included in the cache
         write-host "Initializing ROCm devel tree"

.github/workflows/ai-issues.yml

@@ -4,10 +4,6 @@ on:
   issues:
     types: [opened]
 
-cache-mode: none
-permissions:
-  contents: read
-
 jobs:
   find-related:
     if: github.event.action == 'opened'

.github/workflows/build-3rd-party.yml

@@ -15,10 +15,6 @@ on:
       '**/*.cpp'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true

.github/workflows/build-and-test-snapdragon.yml

@@ -23,27 +23,19 @@ on:
       - 'scripts/snapdragon/**'
       - 'CMakePresets.json'
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
 
 jobs:
   android-ndk-snapdragon:
-    runs-on: ubuntu-24.04  # previously ubuntu-latest
+    runs-on: ubuntu-latest
     container:
       image: 'ghcr.io/snapdragon-toolchain/arm64-android:v0.7'
     defaults:
       run:
         shell: bash
 
-    permissions:
-      actions: write
-      contents: read
-
     steps:
       - name: Clone
         uses: actions/checkout@v6
@@ -67,17 +59,13 @@ jobs:
           path: pkg-snapdragon/llama.cpp
 
   linux-iot-snapdragon:
-    runs-on: ubuntu-24.04  # previously ubuntu-latest
+    runs-on: ubuntu-latest
     container:
       image: 'ghcr.io/snapdragon-toolchain/arm64-linux:v0.7'
     defaults:
       run:
         shell: bash
 
-    permissions:
-      actions: write
-      contents: read
-
     steps:
       - name: Clone
         uses: actions/checkout@v6
@@ -110,10 +98,6 @@ jobs:
       matrix:
         device: [SM8750, SM8850, QCS9075M]
 
-    permissions:
-      actions: read
-      contents: read
-
     steps:
       - name: Checkout
         uses: actions/checkout@v6

.github/workflows/build-android.yml

@@ -20,10 +20,6 @@ on:
       - '.github/workflows/build-android.yml'
       - 'examples/llama.android/**'
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -37,7 +33,7 @@ env:
 
 jobs:
   default:
-    runs-on: ubuntu-24.04  # previously ubuntu-latest
+    runs-on: ubuntu-latest
 
     steps:
       - name: Clone
@@ -53,7 +49,7 @@ jobs:
           distribution: zulu
 
       - name: Setup Android SDK
-        uses: android-actions/setup-android@be39fa834029ff78f1a44aa3bb0819b8fc2bd8fd # v4.0.4
+        uses: android-actions/setup-android@40fd30fb8d7440372e1316f5d1809ec01dcd3699 # v4.0.1
         with:
           log-accepted-android-sdk-licenses: false
 
@@ -63,17 +59,13 @@ jobs:
           ./gradlew build --no-daemon
 
   ndk:
-    runs-on: ubuntu-24.04  # previously ubuntu-latest
+    runs-on: ubuntu-latest
     container:
       image: 'ghcr.io/snapdragon-toolchain/arm64-android:v0.3'
     defaults:
       run:
         shell: bash
 
-    permissions:
-      actions: write
-      contents: read
-
     steps:
       - name: Clone
         uses: actions/checkout@v6
@@ -101,7 +93,7 @@ jobs:
           path: pkg-adb/llama.cpp
 
   arm64:
-    runs-on: ubuntu-24.04  # previously ubuntu-latest
+    runs-on: ubuntu-latest
 
     env:
       NDK_VERSION: "29.0.14206865"
@@ -118,7 +110,7 @@ jobs:
       #   cache on:  https://github.com/ggerganov/tmp2/actions/runs/26534713799/job/78224189394
       #
       #- name: ccache
-      #  uses: ggml-org/ccache-action@v1.2.24
+      #  uses: ggml-org/ccache-action@v1.2.21
       #  with:
       #    key: android-ubuntu-arm64
       #    evict-old-files: 1d
@@ -131,7 +123,7 @@ jobs:
           distribution: temurin
 
       - name: Setup Android SDK
-        uses: android-actions/setup-android@be39fa834029ff78f1a44aa3bb0819b8fc2bd8fd # v4.0.4
+        uses: android-actions/setup-android@40fd30fb8d7440372e1316f5d1809ec01dcd3699 # v4.0.1
         with:
           log-accepted-android-sdk-licenses: false
 

.github/workflows/build-apple.yml

@@ -22,14 +22,9 @@ on:
     types: [opened, synchronize, reopened]
     paths: [
       '.github/workflows/build-apple.yml',
-      'ggml/src/ggml-metal/**',
-      'ggml/src/ggml-rpc/**'
+      'ggml/src/ggml-metal/**'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -37,7 +32,6 @@ concurrency:
 env:
   GGML_NLOOP: 3
   GGML_N_THREADS: 1
-  GGML_SCHED_DEBUG_REALLOC: 1
   LLAMA_ARG_LOG_COLORS: 1
   LLAMA_ARG_LOG_PREFIX: 1
   LLAMA_ARG_LOG_TIMESTAMPS: 1
@@ -52,19 +46,11 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: apple-arm64
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build
         id: cmake_build
@@ -79,33 +65,13 @@ jobs:
             -DGGML_RPC=ON \
             -DCMAKE_OSX_DEPLOYMENT_TARGET=13.3
           time cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
-
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: apple-arm64
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
-      - name: Check for leaks
-        run: |
-          cmd=(./build/bin/test-thread-safety -hf ggml-org/gemma-3-270m-qat-GGUF -ngl 99 -p "$(printf 'hello %.0s' {1..128})" -n 16 -c 512 -ub 32 -np 2 -t 2 -lv 1)
-          leaks -atExit -- "${cmd[@]}"
-          # Graphics devices are leaked by Metal in Apple code sometimes, so we ignore those leaks
-          OBJC_DEBUG_MISSING_POOLS=YES "${cmd[@]}" 2>&1 | awk '{ print } index($0, "autoreleased with no pool in place") && !/class [a-zA-Z0-9]+Device autoreleased/ { found = 1 } END { exit found }'
+          leaks -atExit -- ./build/bin/test-thread-safety -hf ggml-org/gemma-3-270m-qat-GGUF -ngl 99 -p "$(printf 'hello %.0s' {1..128})" -n 16 -c 512 -ub 32 -np 2 -t 2 -lv 1
 
       - name: Test
         id: cmake_test
         run: |
           cd build
-          # Metal Paravirtual devices are difficult to support -> disable
-          # ref: https://github.com/ggml-org/llama.cpp/pull/19802#issuecomment-4013704023
-          ctest -L main -E "test-llama-archs|test-save-load-state|test-recurrent-state-rollback" --verbose --timeout 900
+          ctest -L main -E "test-llama-archs" --verbose --timeout 900
 
   macos-latest-x64:
     runs-on: macos-15-intel
@@ -116,19 +82,11 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: apple-x64
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build
         id: cmake_build
@@ -145,18 +103,6 @@ jobs:
             -DCMAKE_OSX_DEPLOYMENT_TARGET=13.3
           time cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
 
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: apple-x64
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
       - name: Test
         id: cmake_test
         run: |
@@ -166,10 +112,6 @@ jobs:
   macos-latest-ios-xcode:
     runs-on: macos-latest
 
-    permissions:
-      actions: write
-      contents: read
-
     steps:
       - name: Checkout code
         uses: actions/checkout@v6
@@ -221,6 +163,14 @@ jobs:
         id: checkout
         uses: actions/checkout@v6
 
+      # TODO: this likely does not do anything - if yes, remove it
+      - name: ccache
+        uses: ggml-org/ccache-action@v1.2.21
+        with:
+          key: apple-tvos
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+
       - name: Build
         id: cmake_build
         run: |
@@ -246,6 +196,14 @@ jobs:
         id: checkout
         uses: actions/checkout@v6
 
+      # TODO: this likely does not do anything - if yes, remove it
+      - name: ccache
+        uses: ggml-org/ccache-action@v1.2.21
+        with:
+          key: apple-visionos
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+
       - name: Build
         id: cmake_build
         run: |
@@ -267,10 +225,6 @@ jobs:
     runs-on: macos-latest
     needs: macos-latest-ios-xcode
 
-    permissions:
-      actions: read
-      contents: read
-
     strategy:
       matrix:
         destination: ['generic/platform=macOS', 'generic/platform=iOS', 'generic/platform=tvOS']
@@ -280,6 +234,14 @@ jobs:
         id: checkout
         uses: actions/checkout@v6
 
+      # TODO: this likely does not do anything - if yes, remove it
+      - name: ccache
+        uses: ggml-org/ccache-action@v1.2.21
+        with:
+          key: apple-swift
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+
       - name: Download xcframework artifact
         uses: actions/download-artifact@v7
         with:

.github/workflows/build-cache.yml

@@ -5,15 +5,38 @@ on:
   schedule:
     - cron: '0 * * * *'
 
-cache-mode: write
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
 
 jobs:
+  ubuntu-24-vulkan-cache:
+    runs-on: ubuntu-24.04
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - 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: Setup Cache
+        uses: actions/cache@v5
+        id: cache-sdk
+        with:
+          path: ./vulkan_sdk
+          key: cache-gha-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 }}
+
   #ubuntu-24-spacemit-cache:
   #  runs-on: ubuntu-24.04
 
@@ -44,9 +67,9 @@ jobs:
     runs-on: ubuntu-24.04
 
     env:
-      # Sync versions in build-openvino.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
-      OPENVINO_VERSION_MAJOR: "2026.4.1"
-      OPENVINO_VERSION_FULL: "2026.4.1.22982.07f9c262b05"
+      # Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
+      OPENVINO_VERSION_MAJOR: "2026.2.1"
+      OPENVINO_VERSION_FULL: "2026.2.1.21919.ede283a88e3"
 
     steps:
       - name: Clone
@@ -73,8 +96,8 @@ jobs:
 
     env:
       # Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
-      OPENVINO_VERSION_MAJOR: "2026.4.1"
-      OPENVINO_VERSION_FULL: "2026.4.1.22982.07f9c262b05"
+      OPENVINO_VERSION_MAJOR: "2026.2.1"
+      OPENVINO_VERSION_FULL: "2026.2.1.21919.ede283a88e3"
 
     steps:
       - name: Clone

.github/workflows/build-cann.yml

@@ -22,10 +22,6 @@ on:
       'ggml/src/ggml-cann/**'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true

.github/workflows/build-cmake-pkg.yml

@@ -3,13 +3,9 @@ on:
   workflow_dispatch:
   workflow_call:
 
-cache-mode: none
-permissions:
-  contents: read
-
 jobs:
   linux:
-    runs-on: [self-hosted, Linux, CPU]
+    runs-on: [self-hosted, Linux]
     steps:
       - uses: actions/checkout@v6
         with:
@@ -31,26 +27,30 @@ jobs:
           cmake --install build --prefix "$PREFIX" --config Release
 
           export LLAMA_CONFIG="$PREFIX"/lib/cmake/llama/llama-config.cmake
-          build_commit=$(git rev-parse --short HEAD | xargs)
-          build_number=$(git rev-list --count HEAD | xargs)
+          tclsh <<'EOF'
+          set build(commit)  [string trim [exec git rev-parse --short HEAD]]
+          set build(number)  [string trim [exec git rev-list  --count HEAD]]
 
-          major=$(grep -oE "set\(LLAMA_VERSION_MAJOR[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$")
-          minor=$(grep -oE "set\(LLAMA_VERSION_MINOR[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$")
-          patch=$(grep -oE "set\(LLAMA_VERSION_PATCH[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$")
-          build_version="$major.$minor.$patch"
+          set cmakelists [read [open "CMakeLists.txt" r]]
+          regexp {set\(LLAMA_VERSION_MAJOR\s+(\d+)\)} $cmakelists -> major
+          regexp {set\(LLAMA_VERSION_MINOR\s+(\d+)\)} $cmakelists -> minor
+          regexp {set\(LLAMA_VERSION_PATCH\s+(\d+)\)} $cmakelists -> patch
+          set build(version) "$major.$minor.$patch"
 
-          checks=("set\(LLAMA_VERSION[[:space:]]+$build_version\)"
-                  "set\(LLAMA_BUILD_COMMIT[[:space:]]+$build_commit\)"
-                  "set\(LLAMA_BUILD_NUMBER[[:space:]]+$build_number\)")
+          set llamaconfig [read [open "$env(LLAMA_CONFIG)" r]]
+          set checks [list "set\\(LLAMA_VERSION     \\s+$build(version)\\)" \
+                           "set\\(LLAMA_BUILD_COMMIT\\s+$build(commit)\\)" \
+                           "set\\(LLAMA_BUILD_NUMBER\\s+$build(number)\\)"]
 
-          for check in "${checks[@]}"; do
-              if ! grep -qE "$check" "$LLAMA_CONFIG"; then
-                  echo "Checking llama-config.cmake version... \"$check\" failed!"
+          puts -nonewline "Checking llama-config.cmake version... "
+          foreach check $checks {
+              if {![regexp -expanded -- $check $llamaconfig]} {
+                  puts "\"$check\" failed!"
                   exit 1
-              fi
-          done
-
-          echo "Checking llama-config.cmake version... success."
+              }
+          }
+          puts "success."
+          EOF
 
           cd examples/simple-cmake-pkg
           cmake -S . -B build -DCMAKE_PREFIX_PATH="$PREFIX"/lib/cmake

.github/workflows/build-cpu.yml

@@ -21,7 +21,6 @@ on:
     paths: [
       '.github/workflows/build-cpu.yml',
       '.github/workflows/build-cmake-pkg.yml',
-      'ggml/src/ggml-rpc/**',
       '**/CMakeLists.txt',
       '**/.cmake',
       '**/*.h',
@@ -30,10 +29,6 @@ on:
       '**/*.cpp'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -41,7 +36,6 @@ concurrency:
 env:
   GGML_NLOOP: 3
   GGML_N_THREADS: 1
-  GGML_SCHED_DEBUG_REALLOC: 1
   LLAMA_ARG_LOG_COLORS: 1
   LLAMA_ARG_LOG_PREFIX: 1
   LLAMA_ARG_LOG_TIMESTAMPS: 1
@@ -67,10 +61,11 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
-          restore: false
-          save: false
+          key: cpu-${{ matrix.os }}
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build Dependencies
         id: build_depends
@@ -93,16 +88,7 @@ jobs:
         run: |
           export PIP_BREAK_SYSTEM_PACKAGES="1"
           python3 -m pip install --upgrade pip setuptools
-          pip3 install ./gguf-py jinja2==3.1.6
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        with:
-          key: cpu-${{ matrix.os }}
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          pip3 install ./gguf-py
 
       - name: Build
         id: cmake_build
@@ -110,26 +96,15 @@ jobs:
           cmake -B build \
             -DGGML_NATIVE=OFF \
             -DLLAMA_FATAL_WARNINGS=ON \
-            -DGGML_RPC=ON
+            -DGGML_RPC=ON \
+            -DGGML_NATIVE=OFF
           time cmake --build build --config Release -j $(nproc)
 
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: cpu-${{ matrix.os }}
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
       - name: Test
         id: cmake_test
         run: |
           cd build
-          ctest -L 'main|python' --verbose --timeout 900
+          ctest -L main --verbose --timeout 900
 
       - name: Test llama2c conversion
         id: llama2c_test
@@ -143,30 +118,28 @@ jobs:
           ./bin/llama-completion -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
 
   windows:
-    name: windows / ${{ matrix.build }}
     runs-on: windows-2025
 
-    cache-mode: write
-    permissions:
-      actions: write
-      contents: read
-
     env:
       OPENBLAS_VERSION: 0.3.23
       SDE_VERSION: 9.33.0-2024-01-07
+      VULKAN_VERSION: 1.4.357.0
 
     strategy:
       matrix:
         include:
           - build: 'x64-cpu-static'
             arch: 'x64'
-            defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/x64-windows-llvm.cmake -DGGML_NATIVE=OFF -DGGML_OPENMP_FETCH=ON -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON -DBUILD_SHARED_LIBS=OFF'
+            defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/x64-windows-llvm.cmake -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON -DBUILD_SHARED_LIBS=OFF'
           - build: 'x64-openblas'
             arch: 'x64'
             defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/x64-windows-llvm.cmake -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON -DGGML_BACKEND_DL=ON -DGGML_CPU_ALL_VARIANTS=ON -DGGML_OPENMP=OFF -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS -DBLAS_INCLUDE_DIRS="$env:RUNNER_TEMP/openblas/include" -DBLAS_LIBRARIES="$env:RUNNER_TEMP/openblas/lib/openblas.lib"'
+          - build: 'x64-vulkan'
+            arch: 'x64'
+            defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/x64-windows-llvm.cmake -DCMAKE_BUILD_TYPE=Release -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON -DGGML_BACKEND_DL=ON -DGGML_CPU_ALL_VARIANTS=ON -DGGML_VULKAN=ON'
           - build: 'arm64'
             arch: 'arm64'
-            defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-llvm.cmake -DGGML_NATIVE=OFF -DGGML_OPENMP_FETCH=ON -DLLAMA_BUILD_SERVER=ON'
+            defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-llvm.cmake -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON'
 
     steps:
       - name: Clone
@@ -174,7 +147,7 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: cpu-windows-2025-${{ matrix.build }}
           variant: ccache
@@ -194,6 +167,15 @@ jobs:
           $lib =  $(join-path $msvc 'bin\Hostx64\x64\lib.exe')
           & $lib /machine:x64 "/def:${env:RUNNER_TEMP}/openblas/lib/libopenblas.def" "/out:${env:RUNNER_TEMP}/openblas/lib/openblas.lib" /name:openblas.dll
 
+      - name: Install Vulkan SDK
+        id: get_vulkan
+        if: ${{ matrix.build == 'x64-vulkan' }}
+        run: |
+          curl.exe -o $env:RUNNER_TEMP/VulkanSDK-Installer.exe -L "https://sdk.lunarg.com/sdk/download/${env:VULKAN_VERSION}/windows/vulkansdk-windows-X64-${env:VULKAN_VERSION}.exe"
+          & "$env:RUNNER_TEMP\VulkanSDK-Installer.exe" --accept-licenses --default-answer --confirm-command install
+          Add-Content $env:GITHUB_ENV "VULKAN_SDK=C:\VulkanSDK\${env:VULKAN_VERSION}"
+          Add-Content $env:GITHUB_PATH "C:\VulkanSDK\${env:VULKAN_VERSION}\bin"
+
       - name: Install Ninja
         id: install_ninja
         run: |
@@ -231,14 +213,5 @@ jobs:
       #     7z x "-o${env:RUNNER_TEMP}" $env:RUNNER_TEMP/sde.tar
       #     $sde = $(join-path $env:RUNNER_TEMP sde-external-${env:SDE_VERSION}-win/sde.exe)
       #     cd build
+      #     $env:LLAMA_SKIP_TESTS_SLOW_ON_EMULATOR = 1
       #     & $sde -future -- ctest -L main -C Release --verbose --timeout 900
-
-      - name: ccache-clear
-        uses: ./.github/actions/ccache-clear
-        env:
-          GH_TOKEN: ${{ github.token }}
-        with:
-          key: cpu-windows-2025-${{ matrix.build }}
-          older: 5m
-          min: 1
-          dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}

.github/workflows/build-cross.yml

@@ -15,10 +15,6 @@ on:
   schedule:
     - cron: '0 0 * * 0'
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true

.github/workflows/build-cuda-ubuntu.yml

@@ -24,10 +24,6 @@ on:
       'ggml/src/ggml-cuda/**'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -54,25 +50,17 @@ jobs:
           DEBIAN_FRONTEND: noninteractive
         run: |
           apt update
-          apt install -y cmake build-essential ninja-build libgomp1 git libssl-dev jq python3 python3-venv python3-pip
+          apt install -y cmake build-essential ninja-build libgomp1 git libssl-dev
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: cuda-ubuntu-24.04-cuda
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build with CMake
-        # TODO: Drop GGML_CUDA_CCCL_VERSION when this job uses CTK >= 13.5, which bundles CCCL >= 3.5.
+        # TODO: Remove GGML_CUDA_CUB_3DOT2 flag once CCCL 3.2 is bundled within CTK and that CTK version is used in this project
         run: |
           cmake -S . -B build -G Ninja \
             -DLLAMA_FATAL_WARNINGS=ON \
@@ -81,21 +69,9 @@ jobs:
             -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined \
             -DGGML_NATIVE=OFF \
             -DGGML_CUDA=ON \
-            -DGGML_CUDA_CCCL_VERSION=v3.4.3
+            -DGGML_CUDA_CUB_3DOT2=ON
           cmake --build build
 
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: cuda-ubuntu-24.04-cuda
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
   hip:
     runs-on: ubuntu-22.04
     container: rocm/dev-ubuntu-22.04:6.1.2
@@ -109,22 +85,14 @@ jobs:
         id: depends
         run: |
           sudo apt-get update
-          sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev rocwmma-dev jq python3-venv
+          sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev rocwmma-dev
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: cuda-ubuntu-22.04-hip
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build with native CMake HIP support
         id: cmake_build
@@ -135,21 +103,9 @@ jobs:
             -DGGML_HIP=ON
           cmake --build build --config Release -j $(nproc)
 
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: cuda-ubuntu-22.04-hip
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
   musa:
     runs-on: ubuntu-22.04
-    container: registry.mthreads.com/mcconline/musa_sdk:5.2.0-devel-ubuntu22.04-s5000
+    container: mthreads/musa:rc4.3.0-devel-ubuntu22.04-amd64
 
     steps:
       - name: Clone
@@ -160,39 +116,18 @@ jobs:
         id: depends
         run: |
           apt-get update
-          apt-get install -y build-essential git cmake libssl-dev jq python3-venv musa-mualg-5-2 musa-muthrust-5-2 libmthreads-compute
+          apt-get install -y build-essential git cmake libssl-dev
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: cuda-ubuntu-22.04-musa
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          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 \
-            -DMUSA_ARCHITECTURES=31
-          cmake --build build --config Release -j $(nproc)
-
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: cuda-ubuntu-22.04-musa
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
+            -DGGML_MUSA=ON
+          time cmake --build build --config Release -j $(nproc)

.github/workflows/build-cuda-windows.yml

@@ -7,11 +7,6 @@ name: CI (CUDA, windows)
 on:
   workflow_dispatch: # allows manual triggering
 
-cache-mode: write
-permissions:
-  actions: write
-  contents: read
-
 # note: this will run in queue with the release workflow
 concurrency:
   group: release
@@ -27,7 +22,6 @@ env:
 
 jobs:
   cuda:
-    name: windows-cuda (${{ matrix.cuda }}, ${{ matrix.arch }})
     runs-on: windows-2022
 
     permissions:
@@ -35,17 +29,7 @@ jobs:
 
     strategy:
       matrix:
-        include:
-          # CTK >= 13.5 bundles CCCL >= 3.5; omit GGML_CUDA_CCCL_VERSION for those versions.
-          - cuda: '12.4'
-            arch: x64
-            defines: '-DGGML_CUDA_CCCL_VERSION=v3.4.3'
-          - cuda: '13.4'
-            arch: x64
-            defines: '-DGGML_CUDA_CCCL_VERSION=v3.4.3'
-          - cuda: '13.4'
-            arch: arm64
-            defines: '-DGGML_CUDA_CCCL_VERSION=v3.4.3 -DCMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-msvc-cuda.cmake'
+        cuda: ['12.4', '13.3']
 
     steps:
       - name: Clone
@@ -53,15 +37,14 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
-          key: release-windows-2022-${{ matrix.arch }}-cuda-${{ matrix.cuda }}
+          key: release-windows-2022-x64-cuda-${{ matrix.cuda }}
 
       - name: Install Cuda Toolkit
         uses: ./.github/actions/windows-setup-cuda
         with:
           cuda_version: ${{ matrix.cuda }}
-          cuda_arch: ${{ matrix.arch }}
 
       - name: Install Ninja
         id: install_ninja
@@ -71,21 +54,26 @@ jobs:
       - name: Build
         id: cmake_build
         shell: cmd
+        # TODO: Remove GGML_CUDA_CUB_3DOT2 flag once CCCL 3.2 is bundled within CTK and that CTK version is used in this project
         run: |
-          call "C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Auxiliary\Build\vcvarsall.bat" ${{ matrix.arch == 'x64' && 'x64' || 'amd64_arm64' }}
+          call "C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Auxiliary\Build\vcvarsall.bat" x64
           cmake -S . -B build -G "Ninja Multi-Config" ^
-            -DGGML_BACKEND_DL=ON ^
+            -DLLAMA_BUILD_SERVER=ON ^
+            -DLLAMA_BUILD_BORINGSSL=ON ^
             -DGGML_NATIVE=OFF ^
-            -DGGML_CPU=OFF ^
+            -DGGML_BACKEND_DL=ON ^
+            -DGGML_CPU_ALL_VARIANTS=ON ^
             -DGGML_CUDA=ON ^
-            -DLLAMA_BUILD_BORINGSSL=ON ${{ matrix.defines }}
+            -DGGML_RPC=ON ^
+            -DGGML_CUDA_CUB_3DOT2=ON
           set /A NINJA_JOBS=%NUMBER_OF_PROCESSORS%-1
-          cmake --build build --config Release -j %NINJA_JOBS% --target ggml-cuda
+          cmake --build build --config Release -j %NINJA_JOBS% -t ggml
+          cmake --build build --config Release
 
       - name: ccache-clear
         uses: ./.github/actions/ccache-clear
         with:
-          key: release-windows-2022-${{ matrix.arch }}-cuda-${{ matrix.cuda }}
+          key: release-windows-2022-x64-cuda-${{ matrix.cuda }}
 
   hip:
     runs-on: windows-2022
@@ -158,7 +146,7 @@ jobs:
           & "${env:HIP_PATH}\lib\llvm\bin\clang.exe" --version
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           # TODO: this build does not match the build in release.yml, so we use a different cache key
           #       ideally, the builds should match, similar to the CUDA build above so that we would be able

.github/workflows/build-ibm.yml

@@ -19,14 +19,9 @@ on:
     types: [opened, synchronize, reopened]
     paths: [
       '.github/workflows/build-ibm.yml',
-      'ggml/src/ggml-cpu/**',
-      'ggml/src/ggml-zdnn/**'
+      'ggml/src/ggml-cpu/**'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -39,14 +34,9 @@ env:
   LLAMA_ARG_LOG_TIMESTAMPS: 1
 
 jobs:
-  ubuntu-24-s390x:
-    name: ubuntu-24-s390x (VXE ${{ matrix.vxe }})
-    runs-on: ubuntu-24.04-s390x
 
-    strategy:
-      fail-fast: false
-      matrix:
-        vxe: ["ON", "OFF"]  # `-DGGML_VXE=ON/OFF`
+  ubuntu-24-s390x:
+    runs-on: ubuntu-24.04-s390x
 
     steps:
       - name: Clone
@@ -87,8 +77,7 @@ jobs:
         run: |
           cmake -B build \
             -DLLAMA_FATAL_WARNINGS=ON \
-            -DGGML_RPC=ON \
-            -DGGML_VXE=${{ matrix.vxe }}
+            -DGGML_RPC=ON
           time cmake --build build --config Release -j $(nproc)
 
       - name: Test
@@ -105,46 +94,6 @@ jobs:
           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-26-zdnn-s390x:
-    name: ubuntu-26-zdnn-s390x
-    runs-on: ubuntu-24.04-s390x
-    container: ubuntu:26.04  # required to get GCC 15.1 and binutils 2.44
-    defaults:
-      run:
-        shell: bash
-
-    steps:
-      - name: Build Dependencies
-        id: build_depends
-        run: |
-          apt-get update
-          apt-get install -y --no-install-recommends \
-            build-essential cmake git ca-certificates \
-            libssl-dev libzdnn-dev
-
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Toolchain workaround (GCC 15)
-        run: |
-          apt-get install -y gcc-15 g++-15
-          echo "CC=gcc-15" >> "$GITHUB_ENV"
-          echo "CXX=g++-15" >> "$GITHUB_ENV"
-
-      - name: Build with zDNN Backend
-        id: cmake_build
-        run: |
-          cmake -B build \
-            -DLLAMA_FATAL_WARNINGS=ON \
-            -DGGML_NATIVE=OFF \
-            -DGGML_VXE=ON \
-            -DGGML_ZDNN=ON \
-            -DGGML_RPC=ON \
-            -DCMAKE_C_FLAGS="-march=arch15" \
-            -DCMAKE_CXX_FLAGS="-march=arch15"
-          time cmake --build build --config Release -j $(nproc)
-
   ubuntu-24-ppc64le:
     runs-on: ubuntu-24.04-ppc64le
 

.github/workflows/build-msys.yml

@@ -8,10 +8,6 @@ on:
   schedule:
     - cron: '0 0 * * 0'
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -39,7 +35,7 @@ jobs:
         uses: actions/checkout@v6
 
       #- name: ccache
-      #  uses: ggml-org/ccache-action@v1.2.24
+      #  uses: ggml-org/ccache-action@v1.2.16
       #  with:
       #    key: msys-windows-2025-x64
       #    variant: ccache

.github/workflows/build-opencl.yml

@@ -23,11 +23,6 @@ on:
       'ggml/src/ggml-opencl/**'
     ]
 
-cache-mode: write
-permissions:
-  actions: write
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -49,7 +44,7 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: opencl-windows-2025-x64
           variant: ccache
@@ -85,13 +80,3 @@ jobs:
         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}
-
-      - name: ccache-clear
-        uses: ./.github/actions/ccache-clear
-        env:
-          GH_TOKEN: ${{ github.token }}
-        with:
-          key: opencl-windows-2025-x64
-          older: 5m
-          min: 1
-          dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}

.github/workflows/build-openvino.yml

@@ -22,10 +22,6 @@ on:
       'ggml/src/ggml-openvino/**'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -36,8 +32,6 @@ env:
   LLAMA_ARG_LOG_COLORS: 1
   LLAMA_ARG_LOG_PREFIX: 1
   LLAMA_ARG_LOG_TIMESTAMPS: 1
-  # TODO: fix failing tests on OpenVINO backend
-  CTEST_EXCLUDE: "test-llama-archs|^test-recurrent-state-|test-save-load-state"
 
 jobs:
   ubuntu-24-openvino:
@@ -45,8 +39,8 @@ jobs:
 
     env:
       # Sync versions in build-openvino.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
-      OPENVINO_VERSION_MAJOR: "2026.4.1"
-      OPENVINO_VERSION_FULL: "2026.4.1.22982.07f9c262b05"
+      OPENVINO_VERSION_MAJOR: "2026.2.1"
+      OPENVINO_VERSION_FULL: "2026.2.1.21919.ede283a88e3"
 
     steps:
       - name: Clone
@@ -84,29 +78,26 @@ jobs:
 
       - name: Test (CPU)
         id: cmake_test_cpu
+        # TODO: fix and re-enable the `test-llama-archs` test below
         run: |
           cd ${{ github.workspace }}
-          ctest --test-dir build/ReleaseOV -L main -E "${{ env.CTEST_EXCLUDE }}" --verbose --timeout 3000
+          ctest --test-dir build/ReleaseOV -L main -E "test-llama-archs" --verbose --timeout 2000
 
       - name: Test (GPU)
         id: cmake_test_gpu
+        # TODO: fix and re-enable the `test-llama-archs` test below
         run: |
           cd ${{ github.workspace }}
           export GGML_OPENVINO_DEVICE=GPU
-          ctest --test-dir build/ReleaseOV -L main -E "${{ env.CTEST_EXCLUDE }}" --verbose --timeout 3000
+          ctest --test-dir build/ReleaseOV -L main -E "test-llama-archs" --verbose --timeout 3000
 
   openvino-windows-2022:
     runs-on: windows-2022
 
-    cache-mode: write
-    permissions:
-      actions: write
-      contents: read
-
     env:
       # Sync versions in build-openvino.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
-      OPENVINO_VERSION_MAJOR: "2026.4.1"
-      OPENVINO_VERSION_FULL: "2026.4.1.22982.07f9c262b05"
+      OPENVINO_VERSION_MAJOR: "2026.2.1"
+      OPENVINO_VERSION_FULL: "2026.2.1.21919.ede283a88e3"
 
     steps:
       - name: Clone
@@ -114,7 +105,7 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: openvino-windows-2022
           variant: ccache
@@ -168,20 +159,11 @@ jobs:
       - name: Test (CPU)
         id: cmake_test_cpu
         shell: cmd
+        # TODO: fix and re-enable the `test-llama-archs` test below
         run: |
           REM Find extracted OpenVINO folder dynamically
           for /d %%i in (openvino_toolkit\*) do set OPENVINO_ROOT=%%i
           call "%OPENVINO_ROOT%\setupvars.bat"
 
           cd build
-          ctest --test-dir ReleaseOV -L main -E "${{ env.CTEST_EXCLUDE }}" -C Release --verbose --timeout 3000
-
-      - name: ccache-clear
-        uses: ./.github/actions/ccache-clear
-        env:
-          GH_TOKEN: ${{ github.token }}
-        with:
-          key: openvino-windows-2022
-          older: 5m
-          min: 1
-          dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}
+          ctest --test-dir ReleaseOV -L main -E "test-llama-archs" -C Release --verbose --timeout 3000

.github/workflows/build-riscv.yml

@@ -22,10 +22,6 @@ on:
       'ggml/src/ggml-cpu/arch/riscv/**'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -71,7 +67,7 @@ jobs:
 
       # note: sparing some ccache since these jobs run on dedicated runners that are not part of the organitzation
       #- name: ccache
-      #  uses: ggml-org/ccache-action@v1.2.24
+      #  uses: ggml-org/ccache-action@afde29e5b5422e5da23cb1f639e8baecadeadfc3 # https://github.com/ggml-org/ccache-action/pull/1
       #  with:
       #    key: riscv-ubuntu-native
       #    evict-old-files: 1d
@@ -110,3 +106,83 @@ jobs:
           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
+
+    continue-on-error: true
+
+    strategy:
+      matrix:
+        sanitizer: [ADDRESS, THREAD, UNDEFINED]
+        build_type: [Debug]
+
+    steps:
+      - name: Install dependencies
+        run: |
+          # 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: GCC version check
+        run: |
+          gcc --version
+          g++ --version
+
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      # note: sparing some ccache since these jobs run on dedicated runners that are not part of the organitzation
+      #- name: ccache
+      #  uses: ggml-org/ccache-action@afde29e5b5422e5da23cb1f639e8baecadeadfc3 # https://github.com/ggml-org/ccache-action/pull/1
+      #  with:
+      #    key: riscv-ubuntu-native-sanitizer-${{ matrix.sanitizer }}-${{ matrix.build_type }}
+      #    evict-old-files: 1d
+      #    save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+
+      - name: Build
+        id: cmake_build
+        if: ${{ matrix.sanitizer != 'THREAD' }}
+        run: |
+          cmake -B build \
+            -DLLAMA_OPENSSL=OFF \
+            -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \
+            -DGGML_OPENMP=ON \
+            -DLLAMA_BUILD_EXAMPLES=ON \
+            -DLLAMA_BUILD_TOOLS=ON \
+            -DLLAMA_BUILD_TESTS=OFF \
+            -DCMAKE_C_COMPILER_LAUNCHER=ccache \
+            -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
+            -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \
+            -DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \
+            -DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14
+
+          cmake --build build --config ${{ matrix.build_type }} -j $(nproc)
+
+      - name: Build (no OpenMP)
+        id: cmake_build_no_openmp
+        if: ${{ matrix.sanitizer == 'THREAD' }}
+        run: |
+          cmake -B build \
+            -DLLAMA_OPENSSL=OFF \
+            -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \
+            -DGGML_OPENMP=OFF \
+            -DLLAMA_BUILD_EXAMPLES=ON \
+            -DLLAMA_BUILD_TOOLS=ON \
+            -DLLAMA_BUILD_TESTS=OFF \
+            -DCMAKE_C_COMPILER_LAUNCHER=ccache \
+            -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
+            -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \
+            -DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \
+            -DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14
+
+          cmake --build build --config ${{ matrix.build_type }} -j $(nproc)
+
+      - name: Test
+        id: cmake_test
+        run: |
+          cd build
+          ctest -L main --verbose --timeout 900

.github/workflows/build-rpc.yml

@@ -0,0 +1,66 @@
+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_ARG_LOG_COLORS: 1
+  LLAMA_ARG_LOG_PREFIX: 1
+  LLAMA_ARG_LOG_TIMESTAMPS: 1
+
+jobs:
+  ubuntu-24-rpc:
+    runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
+
+    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

.github/workflows/build-sanitize.yml

@@ -21,10 +21,6 @@ on:
       '.github/workflows/build-sanitize.yml'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -59,7 +55,7 @@ jobs:
         uses: actions/checkout@v6
 
       # - name: ccache
-      #   uses: ggml-org/ccache-action@v1.2.24
+      #   uses: ggml-org/ccache-action@v1.2.21
       #   if: ${{ matrix.sanitizer != 'UNDEFINED' }}
       #   with:
       #     key: ctest-${{ matrix.sanitizer }}-ubuntu-24.04
@@ -105,6 +101,8 @@ jobs:
 
       - name: Test
         id: cmake_test
+        # skip run in Debug - very slow
+        if: ${{ matrix.sanitizer != 'UNDEFINED' }}
         run: |
           cd build
           ctest -L main -E tokenizer --verbose --timeout 900

.github/workflows/build-self-hosted.yml

@@ -0,0 +1,409 @@
+name: CI (self-hosted)
+
+on:
+  workflow_dispatch: # allows manual triggering
+  push:
+    branches:
+      - master
+    paths: [
+      '.github/workflows/build-self-hosted.yml',
+      '**/CMakeLists.txt',
+      '**/.cmake',
+      '**/*.h',
+      '**/*.hpp',
+      '**/*.c',
+      '**/*.cpp',
+      '**/*.cu',
+      '**/*.cuh',
+      '**/*.swift',
+      '**/*.m',
+      '**/*.metal',
+      '**/*.comp',
+      '**/*.glsl',
+      '**/*.wgsl'
+    ]
+
+  pull_request:
+    types: [opened, synchronize, reopened]
+    paths: [
+      '.github/workflows/build-self-hosted.yml',
+      '**/CMakeLists.txt',
+      '**/.cmake',
+      '**/*.h',
+      '**/*.hpp',
+      '**/*.c',
+      '**/*.cpp',
+      '**/*.cu',
+      '**/*.cuh',
+      '**/*.swift',
+      '**/*.m',
+      '**/*.metal',
+      '**/*.comp',
+      '**/*.glsl',
+      '**/*.wgsl'
+    ]
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
+  cancel-in-progress: true
+
+env:
+  # note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
+  HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
+  GGML_NLOOP: 3
+  GGML_N_THREADS: 1
+  LLAMA_ARG_LOG_COLORS: 1
+  LLAMA_ARG_LOG_PREFIX: 1
+  LLAMA_ARG_LOG_TIMESTAMPS: 1
+
+jobs:
+  gpu-cuda:
+    runs-on: [self-hosted, Linux, NVIDIA]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          nvidia-smi
+          GG_BUILD_CUDA=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  gpu-rocm:
+    runs-on: [self-hosted, Linux, AMD]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Test
+        id: ggml-ci
+        # HIP_LAUNCH_BLOCKING=1: workaround for an async-execution correctness
+        # issue on integrated RDNA3.5 (gfx1151) where batched inference returns
+        # incorrect output (perplexity ~88 vs ~9.4). Serializing kernel launches
+        # restores correctness. Remove once the underlying ROCm/HIP issue is fixed.
+        env:
+          HIP_LAUNCH_BLOCKING: "1"
+        run: |
+          rocminfo
+          GG_BUILD_ROCM=1 GG_BUILD_AMDGPU_TARGETS=gfx1151 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  gpu-vulkan-nvidia-cm:
+    runs-on: [self-hosted, Linux, NVIDIA]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Test
+        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
+
+  gpu-vulkan-nvidia-cm2:
+    runs-on: [self-hosted, Linux, NVIDIA, COOPMAT2]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          vulkaninfo --summary
+          GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  gpu-webgpu-nvidia:
+    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
+
+  # TODO: provision AMX-compatible machine
+  #cpu-amx:
+  #  runs-on: [self-hosted, Linux, CPU, AMX]
+
+  #  steps:
+  #    - name: Clone
+  #      id: checkout
+  #      uses: actions/checkout@v6
+
+  #    - name: Test
+  #      id: ggml-ci
+  #      run: |
+  #        bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  # TODO: provision AMD GPU machine
+  # amd-vulkan:
+  #   runs-on: [self-hosted, Linux, AMD]
+
+  #   steps:
+  #     - name: Clone
+  #       id: checkout
+  #       uses: actions/checkout@v6
+
+  #     - name: Test
+  #       id: ggml-ci
+  #       run: |
+  #         vulkaninfo --summary
+  #         GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  # TODO: provision AMD GPU machine
+  # amd-rocm:
+  #   runs-on: [self-hosted, Linux, AMD]
+
+  #   steps:
+  #     - name: Clone
+  #       id: checkout
+  #       uses: actions/checkout@v6
+
+  #     - name: Test
+  #       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
+
+  gpu-metal:
+    runs-on: [self-hosted, macOS, ARM64]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          GG_BUILD_METAL=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  gpu-webgpu-apple:
+    runs-on: [self-hosted, macOS, ARM64]
+
+    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-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}/${DAWN_ASSET_NAME}.tar.gz"
+          mkdir dawn
+          tar -xvf artifact.tar.gz -C dawn --strip-components=1
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          GG_BUILD_WEBGPU=1 GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \
+            bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  gpu-vulkan-apple:
+    runs-on: [self-hosted, macOS, ARM64]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          vulkaninfo --summary
+          GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  gpu-vulkan-intel-linux:
+    runs-on: [self-hosted, Linux, Intel]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+        with:
+          persist-credentials: false
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          vulkaninfo --summary
+          GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  gpu-vulkan-intel-windows:
+    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
+
+  gpu-openvino-low-perf:
+    runs-on: [self-hosted, Linux, Intel, OpenVINO]
+
+    env:
+      # Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
+      OPENVINO_VERSION_MAJOR: "2026.2.1"
+      OPENVINO_VERSION_FULL: "2026.2.1.21919.ede283a88e3"
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Setup OpenVINO Toolkit
+        uses: ./.github/actions/linux-setup-openvino
+        with:
+          path: ./openvino_toolkit
+          version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
+          version_full: ${{ env.OPENVINO_VERSION_FULL }}
+
+      - name: Install OpenVINO dependencies
+        run: |
+          cd ./openvino_toolkit
+          chmod +x ./install_dependencies/install_openvino_dependencies.sh
+          echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          source ./openvino_toolkit/setupvars.sh
+          GG_BUILD_OPENVINO=1 GGML_OPENVINO_DEVICE=GPU GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  cpu-x64-high-perf:
+    runs-on: [self-hosted, Linux, X64]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  cpu-arm64-high-perf-graviton4:
+    runs-on: ah-ubuntu_22_04-c8g_8x
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - 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 \
+          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: Test
+        id: ggml-ci
+        run: |
+          LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  cpu-arm64-graviton4-kleidiai:
+    runs-on: ah-ubuntu_22_04-c8g_8x
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - 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 \
+          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: Test
+        id: ggml-ci
+        run: |
+          GG_BUILD_KLEIDIAI=1 \
+          GG_BUILD_EXTRA_TESTS_0=1 \
+          bash ./ci/run.sh ./tmp/results ./tmp/mnt

.github/workflows/build-sycl.yml

@@ -22,10 +22,6 @@ on:
       'ggml/src/ggml-sycl/**'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -52,8 +48,8 @@ jobs:
 
     env:
       ONEAPI_ROOT: /opt/intel/oneapi/
-      ONEAPI_INSTALLER_VERSION: "2026.1"
-      LEVEL_ZERO_VERSION: "1.33.1"
+      ONEAPI_INSTALLER_VERSION: "2025.3.3"
+      LEVEL_ZERO_VERSION: "1.28.2"
       LEVEL_ZERO_UBUNTU_VERSION: "u24.04"
 
     continue-on-error: true
@@ -67,32 +63,23 @@ jobs:
         shell: bash
         run: |
           cd /tmp
-          wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/5996e26b-f48a-42b1-8db0-b002ad0bd8d7/intel-oneapi-toolkit-2026.1.1.33_offline.sh -O intel-oneapi-toolkit_offline.sh
-          sudo bash intel-oneapi-toolkit_offline.sh -s -a --silent --eula accept
+          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
-          # v1.33.x renamed the Debian packages to libze1 / libze-dev
-          wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/libze1_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O libze1.deb
-          wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/libze-dev_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O libze-dev.deb
-          sudo apt-get install -y ./libze1.deb ./libze-dev.deb
+          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: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: sycl-ubuntu-24-${{ matrix.build }}
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build
         id: cmake_build
@@ -106,43 +93,22 @@ jobs:
             -DCMAKE_CXX_COMPILER=icpx \
             -DLLAMA_OPENSSL=OFF \
             -DGGML_NATIVE=OFF \
-            -DGGML_SYCL_F16=${{ matrix.fp16 }} \
-            -DGGML_SYCL_SUPPORT_LEVEL_ZERO_API=ON \
-            -DGGML_SYCL_DNN=ON \
-            -DCMAKE_CXX_FLAGS="-fsycl-unnamed-lambda" \
-            -DCMAKE_EXE_LINKER_FLAGS="-fsycl-unnamed-lambda"
+            -DGGML_SYCL_F16=${{ matrix.fp16 }}
           time cmake --build build --config Release -j $(nproc)
 
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: sycl-ubuntu-24-${{ matrix.build }}
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
   windows-latest-sycl:
     runs-on: windows-2022
 
-    cache-mode: write
-    permissions:
-      actions: write
-      contents: read
-
     defaults:
       run:
         shell: bash
 
     env:
-      WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/0cb67a0d-67f6-410b-868b-f4a0a17ff0cf/intel-oneapi-toolkit-2026.1.1.32_offline.exe
+      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/v1.33.1/level-zero-win-sdk-1.33.1.zip
+      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: "2026.1"
+      ONEAPI_INSTALLER_VERSION: "2025.3.3"
     steps:
       - name: Clone
         id: checkout
@@ -161,7 +127,7 @@ jobs:
           "LEVEL_ZERO_V1_SDK_PATH=C:/level-zero-sdk" | Out-File -FilePath $env:GITHUB_ENV -Append
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: sycl-windows-latest
           variant: ccache
@@ -173,13 +139,3 @@ jobs:
       - name: Build
         id: cmake_build
         run:  examples/sycl/win-build-sycl.bat
-
-      - name: ccache-clear
-        uses: ./.github/actions/ccache-clear
-        env:
-          GH_TOKEN: ${{ github.token }}
-        with:
-          key: sycl-windows-latest
-          older: 5m
-          min: 1
-          dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}

.github/workflows/build-virtgpu.yml

@@ -22,10 +22,6 @@ on:
       'ggml/src/ggml-virtgpu/**'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true

.github/workflows/build-vulkan.yml

@@ -24,10 +24,6 @@ on:
       'ggml/src/ggml-vulkan/**'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -35,7 +31,6 @@ concurrency:
 env:
   GGML_NLOOP: 3
   GGML_N_THREADS: 1
-  GGML_SCHED_DEBUG_REALLOC: 1
   LLAMA_ARG_LOG_COLORS: 1
   LLAMA_ARG_LOG_PREFIX: 1
   LLAMA_ARG_LOG_TIMESTAMPS: 1
@@ -58,20 +53,12 @@ jobs:
           echo "CXX=g++-14" >> "$GITHUB_ENV"
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
-          restore: false
+          key: vulkan-ubuntu-24.04-arm-new
           variant: ccache
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        with:
-          key: vulkan-ubuntu-24.04-arm
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Configure
         id: cmake_configure
@@ -86,18 +73,6 @@ jobs:
         run: |
           time cmake --build build -j $(nproc)
 
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: vulkan-ubuntu-24.04-arm
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
   ubuntu-llvmpipe:
     runs-on: ubuntu-24.04
 
@@ -118,28 +93,26 @@ jobs:
         run: |
           echo "VULKAN_SDK_VERSION=$(curl https://vulkan.lunarg.com/sdk/latest/linux.txt)" >> "$GITHUB_ENV"
 
-      - name: Setup Vulkan SDK
-        id: setup
-        uses: ./.github/actions/unarchive-tar
+      - name: Use Vulkan SDK Cache
+        uses: actions/cache@v5
+        id: cache-sdk
         with:
-          url: https://sdk.lunarg.com/sdk/download/${{ env.VULKAN_SDK_VERSION }}/linux/vulkan_sdk.tar.xz
           path: ./vulkan_sdk
-          strip: 1
+          key: cache-gha-vulkan-sdk-${{ 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: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: vulkan-ubuntu-24.04-llvmpipe
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build
         id: cmake_build
@@ -150,18 +123,6 @@ jobs:
             -DGGML_VULKAN=ON
           cmake --build build --config Release -j $(nproc)
 
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: vulkan-ubuntu-24.04-llvmpipe
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
       - name: Test
         id: cmake_test
         run: |
@@ -169,80 +130,6 @@ jobs:
           export GGML_VK_VISIBLE_DEVICES=0
           export GGML_VK_DISABLE_F16=1
           export GGML_VK_DISABLE_COOPMAT=1
-          ctest -L main --verbose --timeout 900
-
-  windows:
-    name: windows / ${{ matrix.arch }}
-    runs-on: windows-2025
-
-    cache-mode: write
-    permissions:
-      actions: write
-      contents: read
-
-    strategy:
-      matrix:
-        include:
-          - arch: 'x64'
-          - arch: 'arm64'
-
-    env:
-      VULKAN_VERSION: 1.4.357.0
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          key: cpu-windows-2025-${{ matrix.arch }}-vulkan
-          variant: ccache
-          evict-old-files: 1d
-          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-
-      - name: Install Vulkan SDK
-        id: get_vulkan
-        run: |
-          curl.exe -o $env:RUNNER_TEMP/VulkanSDK-Installer.exe -L "https://sdk.lunarg.com/sdk/download/${env:VULKAN_VERSION}/windows/vulkansdk-windows-X64-${env:VULKAN_VERSION}.exe"
-          & "$env:RUNNER_TEMP\VulkanSDK-Installer.exe" --accept-licenses --default-answer --confirm-command install ${{ matrix.arch == 'arm64' && 'com.lunarg.vulkan.arm64' || '' }}
-          Add-Content $env:GITHUB_ENV "VULKAN_SDK=C:\VulkanSDK\${env:VULKAN_VERSION}"
-          Add-Content $env:GITHUB_PATH "C:\VulkanSDK\${env:VULKAN_VERSION}\bin"
-
-      - name: Install Ninja
-        id: install_ninja
-        run: |
-          choco install ninja
-
-      - name: Build
-        id: cmake_build
-        run: |
-          cmake -S . -B build -G "Ninja Multi-Config" `
-            -D CMAKE_TOOLCHAIN_FILE=cmake/${{ matrix.arch }}-windows-llvm.cmake `
-            -DCMAKE_BUILD_TYPE=Release `
-            -DGGML_NATIVE=OFF `
-            -DLLAMA_BUILD_SERVER=ON `
-            -DGGML_RPC=ON `
-            -DGGML_BACKEND_DL=ON `
-            -DGGML_CPU_ALL_VARIANTS=${{ matrix.arch == 'x64' && 'ON' || 'OFF' }} `
-            -DGGML_VULKAN=ON `
-            -DLLAMA_BUILD_BORINGSSL=ON
-          cmake --build build --config Release -j ${env:NUMBER_OF_PROCESSORS}
-
-      - name: Test
-        if: ${{ matrix.arch == 'x64' }}
-        id: cmake_test
-        run: |
-          cd build
-          ctest -L main -C Release --verbose --timeout 900
-
-      - name: ccache-clear
-        uses: ./.github/actions/ccache-clear
-        env:
-          GH_TOKEN: ${{ github.token }}
-        with:
-          key: cpu-windows-2025-${{ matrix.arch }}-vulkan
-          older: 5m
-          min: 1
-          dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}
+          # 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

.github/workflows/build-wasm.yml

@@ -33,10 +33,6 @@ on:
       'ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -58,10 +54,11 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
-          restore: false
-          save: false
+          key: webgpu-ubuntu-24.04-arm-wasm
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Install Emscripten
         run: |
@@ -72,22 +69,13 @@ jobs:
 
       - name: Fetch emdawnwebgpu
         run: |
-          DAWN_TAG="v20260908.214631"
+          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: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        with:
-          key: webgpu-ubuntu-24.04-arm-wasm
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
       - name: Build WASM WebGPU
         run: |
           source emsdk/emsdk_env.sh
@@ -100,15 +88,3 @@ jobs:
             -DEMDAWNWEBGPU_DIR=emdawnwebgpu_pkg
 
           time cmake --build build-wasm --config Release --target test-backend-ops -j $(nproc)
-
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: webgpu-ubuntu-24.04-arm-wasm
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true

.github/workflows/build-webgpu.yml

@@ -25,10 +25,6 @@ on:
       'ggml/src/ggml-webgpu/**'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -73,33 +69,25 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
-          restore: false
-          save: false
+          key: webgpu-macos-latest
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Dawn Dependency
         id: dawn-depends
         run: |
-          DAWN_VERSION="v20260908.214631"
+          DAWN_VERSION="v20260317.182325"
           DAWN_OWNER="google"
           DAWN_REPO="dawn"
-          DAWN_ASSET_NAME="Dawn-94c3c9cc0d5fb2e85aebb370fa8d37b71aa34655-macos-latest-Release"
+          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: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        with:
-          key: webgpu-macos-latest
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
       - name: Build
         id: cmake_build
         run: |
@@ -107,18 +95,6 @@ jobs:
           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: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: webgpu-macos-latest
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
       - name: Test
         id: cmake_test
         run: |
@@ -134,10 +110,11 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
-          restore: false
-          save: false
+          key: webgpu-ubuntu-24.04
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Dependencies
         id: depends
@@ -151,25 +128,16 @@ jobs:
         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="v20260908.214631"
+          DAWN_VERSION="v20260317.182325"
           DAWN_OWNER="google"
           DAWN_REPO="dawn"
-          DAWN_ASSET_NAME="Dawn-94c3c9cc0d5fb2e85aebb370fa8d37b71aa34655-ubuntu-latest-Release"
+          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: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        with:
-          key: webgpu-ubuntu-24.04
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
       - name: Build
         id: cmake_build
         run: |
@@ -178,20 +146,10 @@ jobs:
             -DGGML_WEBGPU=ON
           time cmake --build build --config Release -j $(nproc)
 
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: webgpu-ubuntu-24.04
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
       - name: Test
         id: cmake_test
         run: |
           cd build
-          ctest -L main --verbose --timeout 900
+          # 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

.github/workflows/check-vendor.yml

@@ -17,13 +17,9 @@ on:
       'scripts/sync_vendor.py'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 jobs:
   check-vendor:
-    runs-on: ubuntu-slim
+    runs-on: [self-hosted, fast]
 
     steps:
       - name: Checkout

.github/workflows/ci-self-hosted-cpu.yml

@@ -1,116 +0,0 @@
-name: CI (self-hosted CPU backend)
-
-on:
-  workflow_dispatch: # allows manual triggering
-  push:
-    branches:
-      - master
-    paths: [
-      '.github/workflows/ci-self-hosted-cpu.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      '**/*.h',
-      '**/*.hpp',
-      '**/*.c',
-      '**/*.cpp'
-    ]
-
-  pull_request:
-    types: [opened, synchronize, reopened]
-    paths: [
-      '.github/workflows/ci-self-hosted-cpu.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      'ggml/src/*',
-      'ggml/src/ggml-cpu/**'
-    ]
-
-cache-mode: none
-permissions:
-  contents: read
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
-  cancel-in-progress: true
-
-env:
-  # note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
-  HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-  GGML_NLOOP: 3
-  GGML_N_THREADS: 1
-  LLAMA_ARG_LOG_COLORS: 1
-  LLAMA_ARG_LOG_PREFIX: 1
-  LLAMA_ARG_LOG_TIMESTAMPS: 1
-
-jobs:
-  cpu-x64-high-perf:
-    runs-on: [self-hosted, Linux, X64]
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Test
-        id: ggml-ci
-        run: |
-          LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
-
-  cpu-arm64-high-perf-graviton4:
-    runs-on: ah-ubuntu_24_04-c8g_8x
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - 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 \
-          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: Test
-        id: ggml-ci
-        run: |
-          LLAMA_ARG_THREADS=$(nproc) \
-          GG_BUILD_HIGH_PERF=1 \
-          GG_BUILD_NO_BF16=1 \
-          GG_BUILD_EXTRA_TESTS_0=1 \
-          bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
-
-  # TODO: provision AMX-compatible machine
-  #cpu-amx:
-  #  runs-on: [self-hosted, Linux, CPU, AMX]
-
-  #  steps:
-  #    - name: Clone
-  #      id: checkout
-  #      uses: actions/checkout@v6
-
-  #    - name: Test
-  #      id: ggml-ci
-  #      run: |
-  #        bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp

.github/workflows/ci-self-hosted-cuda.yml

@@ -1,128 +0,0 @@
-name: CI (self-hosted CUDA backend)
-
-on:
-  workflow_dispatch: # allows manual triggering
-  push:
-    branches:
-      - master
-    paths: [
-      '.github/workflows/ci-self-hosted-cuda.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      '**/*.h',
-      '**/*.hpp',
-      '**/*.c',
-      '**/*.cpp',
-      '**/*.cu',
-      '**/*.cuh'
-    ]
-
-  pull_request:
-    types: [opened, synchronize, reopened]
-    paths: [
-      '.github/workflows/ci-self-hosted-cuda.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      'ggml/src/*',
-      'ggml/src/ggml-cpu/**',
-      'ggml/src/ggml-cuda/**'
-    ]
-
-cache-mode: none
-permissions:
-  contents: read
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
-  cancel-in-progress: true
-
-env:
-  # note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
-  HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-  GGML_NLOOP: 3
-  GGML_N_THREADS: 1
-  LLAMA_ARG_LOG_COLORS: 1
-  LLAMA_ARG_LOG_PREFIX: 1
-  LLAMA_ARG_LOG_TIMESTAMPS: 1
-
-jobs:
-  gpu-cuda:
-    runs-on: "hf-jobs-t4-medium:cuda13"
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Install dependencies
-        run: |
-          sudo apt update
-          sudo apt install -y cmake libssl-dev time unzip wget python3 python3-venv python3-pip
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        with:
-          key: self-hosted-gpu-cuda
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
-      - name: Test
-        id: ggml-ci
-        run: |
-          nvidia-smi
-          GG_BUILD_CUDA=1 CUDACXX=/usr/local/cuda/bin/nvcc bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
-
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: self-hosted-gpu-cuda
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
-  gpu-rocm:
-    runs-on: [self-hosted, Linux, AMD]
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Test
-        id: ggml-ci
-        # HIP_LAUNCH_BLOCKING=1: workaround for an async-execution correctness
-        # issue on integrated RDNA3.5 (gfx1151) where batched inference returns
-        # incorrect output (perplexity ~88 vs ~9.4). Serializing kernel launches
-        # restores correctness. Remove once the underlying ROCm/HIP issue is fixed.
-        env:
-          HIP_LAUNCH_BLOCKING: "1"
-        run: |
-          rocminfo
-          GG_BUILD_ROCM=1 GG_BUILD_AMDGPU_TARGETS=gfx1151 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
-
-  # TODO: provision AMD GPU machine
-  # amd-rocm:
-  #   runs-on: [self-hosted, Linux, AMD]
-
-  #   steps:
-  #     - name: Clone
-  #       id: checkout
-  #       uses: actions/checkout@v6
-
-  #     - name: Test
-  #       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

.github/workflows/ci-self-hosted-kleidiai.yml

@@ -1,89 +0,0 @@
-name: CI (self-hosted KleidiAI backend)
-
-on:
-  workflow_dispatch: # allows manual triggering
-  push:
-    branches:
-      - master
-    paths: [
-      '.github/workflows/ci-self-hosted-kleidiai.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      '**/*.h',
-      '**/*.hpp',
-      '**/*.c',
-      '**/*.cpp'
-    ]
-
-  pull_request:
-    types: [opened, synchronize, reopened]
-    paths: [
-      '.github/workflows/ci-self-hosted-kleidiai.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      'ggml/src/*',
-      'ggml/src/ggml-cpu/**'
-    ]
-
-cache-mode: none
-permissions:
-  contents: read
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
-  cancel-in-progress: true
-
-env:
-  # note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
-  HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-  GGML_NLOOP: 3
-  GGML_N_THREADS: 1
-  LLAMA_ARG_LOG_COLORS: 1
-  LLAMA_ARG_LOG_PREFIX: 1
-  LLAMA_ARG_LOG_TIMESTAMPS: 1
-
-jobs:
-  cpu-arm64-graviton4-kleidiai:
-    runs-on: ah-ubuntu_24_04-c8g_8x
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Dependencies
-        id: depends
-        run: |
-          set -euxo pipefail
-          sudo apt-get update
-          sudo DEBIAN_FRONTEND=noninteractive NEEDRESTART_MODE=a \
-          apt-get install -y \
-          build-essential \
-          python3-venv \
-          gpg \
-          wget \
-          time \
-          git-lfs
-
-          git lfs install
-
-          # install the latest cmake
-          sudo install -d /usr/share/keyrings
-          wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc \
-            | gpg --dearmor \
-            | sudo tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null
-          echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ jammy main' \
-            | sudo tee /etc/apt/sources.list.d/kitware.list
-          sudo apt-get update
-          sudo apt-get install -y cmake
-
-      - name: Test
-        id: ggml-ci
-        run: |
-          LLAMA_ARG_THREADS=$(nproc) \
-          GG_BUILD_KLEIDIAI=1 \
-          GG_BUILD_EXTRA_TESTS_0=1 \
-          GG_BUILD_HIGH_PERF=1 \
-          bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp

.github/workflows/ci-self-hosted-metal.yml

@@ -1,63 +0,0 @@
-name: CI (self-hosted Metal backend)
-
-on:
-  workflow_dispatch: # allows manual triggering
-  push:
-    branches:
-      - master
-    paths: [
-      '.github/workflows/ci-self-hosted-metal.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      '**/*.h',
-      '**/*.hpp',
-      '**/*.c',
-      '**/*.cpp',
-      '**/*.swift',
-      '**/*.m',
-      '**/*.metal'
-    ]
-
-  pull_request:
-    types: [opened, synchronize, reopened]
-    paths: [
-      '.github/workflows/ci-self-hosted-metal.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      'ggml/src/*',
-      'ggml/src/ggml-cpu/**',
-      'ggml/src/ggml-metal/**'
-    ]
-
-cache-mode: none
-permissions:
-  contents: read
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
-  cancel-in-progress: true
-
-env:
-  # note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
-  HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-  GGML_NLOOP: 3
-  GGML_N_THREADS: 1
-  LLAMA_ARG_LOG_COLORS: 1
-  LLAMA_ARG_LOG_PREFIX: 1
-  LLAMA_ARG_LOG_TIMESTAMPS: 1
-
-jobs:
-  gpu-metal:
-    runs-on: [self-hosted, macOS, ARM64]
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Test
-        id: ggml-ci
-        run: |
-          GG_BUILD_METAL=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp

.github/workflows/ci-self-hosted-openvino.yml

@@ -1,79 +0,0 @@
-name: CI (self-hosted OpenVINO backend)
-
-on:
-  workflow_dispatch: # allows manual triggering
-  push:
-    branches:
-      - master
-    paths: [
-      '.github/workflows/ci-self-hosted-openvino.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      '**/*.h',
-      '**/*.hpp',
-      '**/*.c',
-      '**/*.cpp'
-    ]
-
-  pull_request:
-    types: [opened, synchronize, reopened]
-    paths: [
-      '.github/workflows/ci-self-hosted-openvino.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      'ggml/src/*',
-      'ggml/src/ggml-cpu/**',
-      'ggml/src/ggml-openvino/**'
-    ]
-
-cache-mode: none
-permissions:
-  contents: read
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
-  cancel-in-progress: true
-
-env:
-  # note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
-  HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-  GGML_NLOOP: 3
-  GGML_N_THREADS: 1
-  LLAMA_ARG_LOG_COLORS: 1
-  LLAMA_ARG_LOG_PREFIX: 1
-  LLAMA_ARG_LOG_TIMESTAMPS: 1
-
-jobs:
-  gpu-openvino-low-perf:
-    runs-on: [self-hosted, Linux, Intel, OpenVINO]
-
-    env:
-      # Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
-      OPENVINO_VERSION_MAJOR: "2026.4.1"
-      OPENVINO_VERSION_FULL: "2026.4.1.22982.07f9c262b05"
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Setup OpenVINO Toolkit
-        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: Test
-        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

.github/workflows/ci-self-hosted-vulkan.yml

@@ -1,205 +0,0 @@
-name: CI (self-hosted Vulkan backend)
-
-on:
-  workflow_dispatch: # allows manual triggering
-  push:
-    branches:
-      - master
-    paths: [
-      '.github/workflows/ci-self-hosted-vulkan.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      '**/*.h',
-      '**/*.hpp',
-      '**/*.c',
-      '**/*.cpp',
-      '**/*.comp',
-      '**/*.glsl'
-    ]
-
-  pull_request:
-    types: [opened, synchronize, reopened]
-    paths: [
-      '.github/workflows/ci-self-hosted-vulkan.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      'ggml/src/*',
-      'ggml/src/ggml-cpu/**',
-      'ggml/src/ggml-vulkan/**'
-    ]
-
-cache-mode: none
-permissions:
-  contents: read
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
-  cancel-in-progress: true
-
-env:
-  # note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
-  HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-  GGML_NLOOP: 3
-  GGML_N_THREADS: 1
-  LLAMA_ARG_LOG_COLORS: 1
-  LLAMA_ARG_LOG_PREFIX: 1
-  LLAMA_ARG_LOG_TIMESTAMPS: 1
-
-jobs:
-  gpu-vulkan-nvidia-cm:
-    # runs-on: "hf-jobs-t4-small:ubuntu26_04"
-    runs-on: [self-hosted, Linux, NVIDIA]
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      # - name: Install dependencies
-      #   run: |
-      #     sudo apt update
-      #     sudo apt install -y build-essential cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc spirv-headers vulkan-tools mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 libssl-dev time unzip wget python3 python3-venv python3-pip
-
-      # - name: ccache
-      #   uses: ggml-org/ccache-action@v1.2.24
-      #   with:
-      #     restore: false
-      #     save: false
-
-      # - name: ccache-buckets-restore
-      #   uses: ./.github/actions/ccache-buckets
-      #   with:
-      #     key: self-hosted-vulkan-nvidia-cm
-      #     folder: llama.cpp
-      #     hf_bucket: ggml-org/cache
-
-      - name: Test
-        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
-
-      # - name: ccache-buckets-save
-      #   if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-      #   uses: ./.github/actions/ccache-buckets
-      #   env:
-      #     HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-      #   with:
-      #     key: self-hosted-vulkan-nvidia-cm
-      #     folder: llama.cpp
-      #     evict-old-files: 1d
-      #     hf_bucket: ggml-org/cache
-      #     save: true
-
-  gpu-vulkan-nvidia-cm2:
-    # runs-on: "hf-jobs-t4-small:ubuntu26_04"
-    runs-on: [self-hosted, Linux, NVIDIA, COOPMAT2]
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      # - name: Install dependencies
-      #   run: |
-      #     sudo apt update
-      #     sudo apt install -y build-essential cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc spirv-headers vulkan-tools mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 libssl-dev time unzip wget python3 python3-venv python3-pip
-
-      # - name: ccache
-      #   uses: ggml-org/ccache-action@v1.2.24
-      #   with:
-      #     restore: false
-      #     save: false
-
-      # - name: ccache-buckets-restore
-      #   uses: ./.github/actions/ccache-buckets
-      #   with:
-      #     key: self-hosted-vulkan-nvidia-cm2
-      #     folder: llama.cpp
-      #     hf_bucket: ggml-org/cache
-
-      - name: Test
-        id: ggml-ci
-        run: |
-          vulkaninfo --summary
-          GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
-
-      # - name: ccache-buckets-save
-      #   if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-      #   uses: ./.github/actions/ccache-buckets
-      #   env:
-      #     HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-      #   with:
-      #     key: self-hosted-vulkan-nvidia-cm2
-      #     folder: llama.cpp
-      #     evict-old-files: 1d
-      #     hf_bucket: ggml-org/cache
-      #     save: true
-
-  gpu-vulkan-apple:
-    runs-on: [self-hosted, macOS, ARM64]
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Test
-        id: ggml-ci
-        run: |
-          vulkaninfo --summary
-          GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
-
-  gpu-vulkan-intel-linux:
-    runs-on: [self-hosted, Linux, Intel]
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-        with:
-          persist-credentials: false
-
-      - name: Test
-        id: ggml-ci
-        run: |
-          vulkaninfo --summary
-          GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
-
-  gpu-vulkan-intel-windows:
-    runs-on: [self-hosted, Windows, X64, Intel]
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Test
-        id: ggml-ci
-        shell: C:\msys64\usr\bin\bash.exe --noprofile --norc -eo pipefail "{0}"
-        env:
-          MSYSTEM: UCRT64
-          CHERE_INVOKING: 1
-          PATH: C:\msys64\ucrt64\bin;C:\msys64\usr\bin;C:\Windows\System32;${{ 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
-
-  # TODO: provision AMD GPU machine
-  # amd-vulkan:
-  #   runs-on: [self-hosted, Linux, AMD]
-
-  #   steps:
-  #     - name: Clone
-  #       id: checkout
-  #       uses: actions/checkout@v6
-
-  #     - name: Test
-  #       id: ggml-ci
-  #       run: |
-  #         vulkaninfo --summary
-  #         GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp

.github/workflows/ci-self-hosted-webgpu.yml

@@ -1,134 +0,0 @@
-name: CI (self-hosted WebGPU backend)
-
-on:
-  workflow_dispatch: # allows manual triggering
-  push:
-    branches:
-      - master
-    paths: [
-      '.github/workflows/ci-self-hosted-webgpu.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      '**/*.h',
-      '**/*.hpp',
-      '**/*.c',
-      '**/*.cpp',
-      '**/*.wgsl'
-    ]
-
-  pull_request:
-    types: [opened, synchronize, reopened]
-    paths: [
-      '.github/workflows/ci-self-hosted-webgpu.yml',
-      'ci/run.sh',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      'ggml/src/*',
-      'ggml/src/ggml-cpu/**',
-      'ggml/src/ggml-webgpu/**'
-    ]
-
-cache-mode: none
-permissions:
-  contents: read
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
-  cancel-in-progress: true
-
-env:
-  # note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
-  HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-  GGML_NLOOP: 3
-  GGML_N_THREADS: 1
-  LLAMA_ARG_LOG_COLORS: 1
-  LLAMA_ARG_LOG_PREFIX: 1
-  LLAMA_ARG_LOG_TIMESTAMPS: 1
-
-jobs:
-  gpu-webgpu-nvidia:
-    runs-on: "hf-jobs-t4-small:ubuntu26_04"
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Install dependencies
-        run: |
-          sudo apt update
-          sudo apt install -y build-essential cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan1 mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 libssl-dev time unzip wget python3 python3-venv python3-pip
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        with:
-          key: self-hosted-webgpu-nvidia
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
-      - name: Dawn Dependency
-        id: dawn-depends
-        run: |
-          DAWN_VERSION="v20260908.214631"
-          DAWN_OWNER="google"
-          DAWN_REPO="dawn"
-          DAWN_ASSET_NAME="Dawn-94c3c9cc0d5fb2e85aebb370fa8d37b71aa34655-ubuntu-latest-Release"
-          echo "Fetching release asset from https://github.com/google/dawn/releases/download/${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
-
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: self-hosted-webgpu-nvidia
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
-  gpu-webgpu-apple:
-    runs-on: [self-hosted, macOS, ARM64]
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Dawn Dependency
-        id: dawn-depends
-        run: |
-          DAWN_VERSION="v20260908.214631"
-          DAWN_OWNER="google"
-          DAWN_REPO="dawn"
-          DAWN_ASSET_NAME="Dawn-94c3c9cc0d5fb2e85aebb370fa8d37b71aa34655-macos-latest-Release"
-          echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
-          curl -L -o artifact.tar.gz \
-            "https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
-          mkdir dawn
-          tar -xvf artifact.tar.gz -C dawn --strip-components=1
-
-      - name: Test
-        id: ggml-ci
-        run: |
-          GG_BUILD_WEBGPU=1 GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \
-            bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp

.github/workflows/close-issue.yml

@@ -3,9 +3,10 @@ on:
   schedule:
     - cron: "42 0 * * *"
 
-cache-mode: none
+# Fine-grant permission
+# https://docs.github.com/en/actions/security-for-github-actions/security-guides/automatic-token-authentication#modifying-the-permissions-for-the-github_token
 permissions:
-  contents: read
+  issues: write
 
 jobs:
   close-issues:

.github/workflows/code-style.yml

@@ -9,17 +9,13 @@ on:
     branches:
       - master
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
 
 jobs:
   model-naming:
-    runs-on: ubuntu-slim
+    runs-on: [self-hosted, fast]
     steps:
       - uses: actions/checkout@v6
       - name: Check model naming conventions

.github/workflows/copilot-setup-steps.yml

@@ -11,12 +11,10 @@ on:
     paths:
       - .github/workflows/copilot-setup-steps.yml
 
-cache-mode: none
-
 jobs:
   # The job MUST be called `copilot-setup-steps` or it will not be picked up by Copilot.
   copilot-setup-steps:
-    runs-on: ubuntu-24.04
+    runs-on: ubuntu-latest
 
     # Set the permissions to the lowest permissions possible needed for your steps.
     # Copilot will be given its own token for its operations.
@@ -31,10 +29,10 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
-          restore: false
-          save: false
+          key: copilot-setup-steps
+          evict-old-files: 1d
 
       - name: Dependencies
         id: depends

.github/workflows/docker.yml

@@ -20,14 +20,15 @@ on:
     # Rebuild daily rather than on every push because it is expensive
     - cron: '12 4 * * *'
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
 
+# Fine-grant permission
+# https://docs.github.com/en/actions/security-for-github-actions/security-guides/automatic-token-authentication#modifying-the-permissions-for-the-github_token
+permissions:
+  packages: write
+
 jobs:
   create_tag:
     name: Create and push git tag
@@ -43,7 +44,6 @@ jobs:
         uses: actions/checkout@v6
         with:
           fetch-depth: 0
-          ssh-key: ${{ secrets.DEPLOY_KEY_RELEASE }}
 
       - name: Determine source tag name
         id: srctag
@@ -61,12 +61,9 @@ jobs:
   build_ui:
     name: Build UI
     needs: create_tag
-    permissions:
-      actions: write
-      contents: read
     uses: ./.github/workflows/ui-build.yml
     with:
-      ui_version: ${{ needs.create_tag.outputs.source_tag }}
+      hf_ui_version: ${{ needs.create_tag.outputs.source_tag }}
 
   prepare_matrices:
     name: Prepare Docker matrices
@@ -92,8 +89,8 @@ jobs:
             { "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", "prebuilt_ui": true },
             { "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": "13.4.1", "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": "13.4.1", "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": "13.3.0", "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": "13.3.0", "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" },
@@ -148,11 +145,6 @@ jobs:
     needs: [prepare_matrices, create_tag, build_ui]
 
     runs-on: ${{ matrix.config.runs_on }}
-    # cache-mode: write # for QEMU
-    permissions:
-      actions: write
-      contents: read
-      packages: write
     strategy:
       fail-fast: false
       matrix:
@@ -169,14 +161,14 @@ jobs:
         if: ${{ matrix.config.prebuilt_ui == true }}
         uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
         with:
-          name: llama-ui.zip
+          name: ui-build
           path: tools/ui/dist
 
-      # - 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 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
@@ -401,11 +393,6 @@ jobs:
     name: Create shared tags from digests
     needs: [prepare_matrices, push_to_registry, create_tag]
     runs-on: ubuntu-24.04
-    permissions:
-      contents: read
-      packages: write
-      id-token: write
-      attestations: write
     strategy:
       fail-fast: false
       matrix:
@@ -440,7 +427,6 @@ jobs:
           password: ${{ secrets.GITHUB_TOKEN }}
 
       - name: Create tags from digests
-        id: create_tags
         shell: bash
         run: |
           set -euo pipefail
@@ -452,7 +438,6 @@ jobs:
           SRC_TAG="${{ needs.create_tag.outputs.source_tag }}"
           BUILD_DATE="${{ steps.build_date.outputs.date }}"
           COMMIT_SHA="${{ steps.checkout.outputs.commit }}"
-          echo "image_repo=${IMAGE_REPO}" >> "$GITHUB_OUTPUT"
           TAGS="${{ matrix.config.tag }}"
           ARCHES="${{ matrix.config.arches }}"
           DIGEST_GLOB="/tmp/digests/*.tsv"
@@ -519,16 +504,6 @@ jobs:
 
               echo "Creating ${merged_versioned_tag} from ${refs[*]}"
               docker buildx imagetools create "${annotations[@]}" --tag "${merged_versioned_tag}" "${refs[@]}"
-
-              if [[ "$tag_name" == "${TAGS%% *}" ]]; then
-                  local digest
-                  digest="$(docker buildx imagetools inspect "${merged_versioned_tag}" --format '{{.Manifest.Digest}}')"
-                  if [[ ! "$digest" =~ ^sha256:[0-9a-f]{64}$ ]]; then
-                      echo "Invalid digest for ${merged_versioned_tag}: ${digest}" >&2
-                      exit 1
-                  fi
-                  echo "${image_type}_digest=${digest}" >> "$GITHUB_OUTPUT"
-              fi
           }
 
           for tag in $TAGS; do
@@ -552,24 +527,3 @@ jobs:
           done
         env:
           GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'
-
-      - name: Attest full image
-        if: ${{ matrix.config.full }}
-        uses: actions/attest@v4
-        with:
-          subject-name: ${{ steps.create_tags.outputs.image_repo }}
-          subject-digest: ${{ steps.create_tags.outputs.full_digest }}
-
-      - name: Attest light image
-        if: ${{ matrix.config.light }}
-        uses: actions/attest@v4
-        with:
-          subject-name: ${{ steps.create_tags.outputs.image_repo }}
-          subject-digest: ${{ steps.create_tags.outputs.light_digest }}
-
-      - name: Attest server image
-        if: ${{ matrix.config.server }}
-        uses: actions/attest@v4
-        with:
-          subject-name: ${{ steps.create_tags.outputs.image_repo }}
-          subject-digest: ${{ steps.create_tags.outputs.server_digest }}

.github/workflows/editorconfig.yml

@@ -9,17 +9,13 @@ on:
     branches:
       - master
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
 
 jobs:
   editorconfig:
-    runs-on: ubuntu-slim
+    runs-on: [self-hosted, fast]
     steps:
       - uses: actions/checkout@v6
       - uses: editorconfig-checker/action-editorconfig-checker@840e866d93b8e032123c23bac69dece044d4d84c # v2.2.0

.github/workflows/gguf-publish.yml

@@ -17,14 +17,11 @@ on:
     tags:
       - 'gguf-v*'           # Push events to every version tag
 
-cache-mode: none
-permissions:
-  contents: read
 
 jobs:
   deploy:
 
-    runs-on: ubuntu-24.04  # previously ubuntu-latest
+    runs-on: ubuntu-latest
 
     steps:
     - uses: actions/checkout@v6

.github/workflows/hip-quality-check.yml

@@ -25,10 +25,6 @@ on:
       'scripts/hip/gcn-cdna-vgpr-check.py'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
@@ -53,22 +49,14 @@ jobs:
         id: depends
         run: |
           sudo apt-get update
-          sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev python3 python3-venv python3-pip jq
+          sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev python3
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: hip-quality-check-ubuntu-22.04
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build with Werror
         id: cmake_build
@@ -96,15 +84,3 @@ jobs:
           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
-
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: hip-quality-check-ubuntu-22.04
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true

.github/workflows/labeler.yml

@@ -2,10 +2,6 @@ name: "Pull Request Labeler"
 on:
 - pull_request_target
 
-cache-mode: none
-permissions:
-  contents: read
-
 jobs:
   labeler:
     permissions:

.github/workflows/make-release.yml

@@ -3,65 +3,33 @@ name: Make Release
 on:
   workflow_dispatch:
     inputs:
-      commit:
-        description: 'Commit SHA to release (empty = branch HEAD)'
-        required: false
-        default: ''
-        type: string
       dry_run:
         description: 'Dry run - validate without creating the tag'
         required: true
         type: boolean
         default: true
-      skip_apiabi_check:
-        description: 'Skip API/ABI compatibility check'
-        required: false
-        type: boolean
-        default: false
-      require_docker:
-        description: 'Require the Docker workflow to have completed successfully'
-        required: true
-        type: boolean
-        default: true
-      apiabi_compare_tag:
-        description: 'Tag to compare against for API/ABI check (default: latest release)'
-        required: false
-        type: string
-        default: ''
 
 env:
   GH_TOKEN: ${{ github.token }}
 
-cache-mode: none
 permissions:
   contents: write
-  packages: write
 
 jobs:
   make-release:
-    runs-on: ubuntu-24.04  # previously ubuntu-latest
+    runs-on: ubuntu-latest
 
     steps:
       - name: Checkout
         uses: actions/checkout@v6
         with:
           ssh-key: ${{ secrets.DEPLOY_KEY_RELEASE }}
-          ref: ${{ inputs.commit != '' && inputs.commit || github.ref_name }}
-          fetch-depth: 0
-
-      - name: Install API/ABI check tools
-        if: ${{ github.event.inputs.skip_apiabi_check != 'true' }}
-        run: sudo apt-get install -y abi-compliance-checker abigail-tools
 
       - name: Run release checks
         id: checks
         run: bash scripts/make-release-checks.sh ${{ github.event.inputs.dry_run == 'true' && '--dry-run' || '' }}
         env:
           GITHUB_REPOSITORY: ${{ github.repository }}
-          RELEASE_BRANCH: ${{ github.ref_name }}
-          SKIP_APIABI_CHECK: ${{ github.event.inputs.skip_apiabi_check }}
-          APIABI_COMPARE_TAG: ${{ github.event.inputs.apiabi_compare_tag }}
-          REQUIRE_DOCKER: ${{ github.event.inputs.require_docker }}
 
       - name: Create release tag
         if: ${{ github.event.inputs.dry_run == 'false' }}
@@ -73,111 +41,12 @@ jobs:
           git push origin "${VERSION}"
           echo "Created and pushed tag ${VERSION}"
 
-      - name: Generate release description
-        id: desc
-        run: bash scripts/make-release-desc.sh "${{ steps.checks.outputs.version }}"
-        env:
-          GITHUB_REPOSITORY: ${{ github.repository }}
-
-      - name: Create nightly-tag.txt
-        id: nightly_tag_file
-        run: |
-          NIGHTLY_TAG="${{ steps.desc.outputs.nightly_tag }}"
-          if [[ -z "${NIGHTLY_TAG}" ]]; then
-            echo "Warning: no nightly tag found for the release commit - nightly-tag.txt will not be created"
-            echo "create=false" >> "$GITHUB_OUTPUT"
-            exit 0
-          fi
-          echo "${NIGHTLY_TAG}" > nightly-tag.txt
-          echo "create=true" >> "$GITHUB_OUTPUT"
-          echo "nightly-tag.txt:"
-          cat nightly-tag.txt
-
-      - name: Create release
-        id: create_release
-        if: ${{ github.event.inputs.dry_run == 'false' }}
-        uses: ggml-org/action-create-release@v1
-        env:
-          GITHUB_TOKEN: ${{ github.token }}
-        with:
-          tag_name: ${{ steps.checks.outputs.version }}
-          prerelease: false
-          # TODO: enrich the body of the release with more information
-          body: |
-            ## Overview
-
-            New version has been released.
-
-            ## Assets
-
-            ${{ steps.desc.outputs.nightly }}
-
-            ## More info
-
-            - [Releases and versioning of `ggml-org` projects](https://github.com/ggml-org/ggml/discussions/1579)
-
-            ## ${{ steps.desc.outputs.changelog_title }}
-
-            ${{ steps.desc.outputs.changelog }}
-
-      - name: Upload nightly-tag.txt
-        if: ${{ github.event.inputs.dry_run == 'false' && steps.nightly_tag_file.outputs.create == 'true' }}
-        uses: actions/github-script@v8
-        with:
-          github-token: ${{secrets.GITHUB_TOKEN}}
-          script: |
-            const fs = require('fs');
-            const release_id = '${{ steps.create_release.outputs.id }}';
-            console.log('uploadReleaseAsset', 'nightly-tag.txt');
-            await github.rest.repos.uploadReleaseAsset({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              release_id: release_id,
-              name: 'nightly-tag.txt',
-              data: await fs.readFileSync('./nightly-tag.txt')
-            });
-
-      - name: Re-tag container images with release version
-        if: ${{ github.event.inputs.dry_run == 'false' && github.event.inputs.require_docker != 'false' && steps.desc.outputs.nightly_tag != '' }}
-        env:
-          GITHUB_REPOSITORY_OWNER: ${{ github.repository_owner }}
-        run: |
-          VERSION="${{ steps.checks.outputs.version }}"
-          NIGHTLY_TAG="${{ steps.desc.outputs.nightly_tag }}"
-          REPO_OWNER="${GITHUB_REPOSITORY_OWNER,,}"
-          IMAGE_REPO="ghcr.io/${REPO_OWNER}/${{ github.event.repository.name }}"
-
-          echo "${{ secrets.GITHUB_TOKEN }}" | docker login ghcr.io -u "${{ github.actor }}" --password-stdin
-
-          VARIANTS=("" "-cuda" "-cuda13" "-vulkan" "-rocm" "-intel" "-musa" "-openvino")
-          TYPES=("full" "light" "server")
-          # the release is already created at this point, so keep going on a
-          # missing image and report all of them at the end
-          MISSING=()
-          for type in "${TYPES[@]}"; do
-            for variant in "${VARIANTS[@]}"; do
-              src="${IMAGE_REPO}:${type}${variant}-${NIGHTLY_TAG}"
-              dst="${IMAGE_REPO}:${type}${variant}-${VERSION}"
-              echo "Tagging ${src} -> ${dst}"
-              if ! docker buildx imagetools create --tag "${dst}" "${src}"; then
-                MISSING+=("${type}${variant}")
-              fi
-            done
-          done
-          if [[ ${#MISSING[@]} -gt 0 ]]; then
-            echo "::error::failed to re-tag container images for ${NIGHTLY_TAG}:${MISSING[*]}"
-            exit 1
-          fi
-
       - name: Dry run summary
         if: ${{ github.event.inputs.dry_run == 'true' }}
         run: |
           if [[ "${{ steps.checks.outputs.checks_passed }}" == "true" ]]; then
             echo "Dry run complete - all checks passed."
             echo "Would have created tag: ${{ steps.checks.outputs.version }}"
-            if [[ -n "${{ steps.desc.outputs.nightly_tag }}" ]]; then
-              echo "Would have uploaded nightly-tag.txt: ${{ steps.desc.outputs.nightly_tag }}"
-            fi
           else
             echo "::error::Dry run found release check failures. A release tag would not be created."
             exit 1

.github/workflows/models-check.yml

@@ -1,449 +0,0 @@
-name: Models Backend Check
-
-on:
-  workflow_dispatch: # allows manual triggering
-  push:
-    branches:
-      - master
-    paths: [
-      '.github/workflows/models-check.yml',
-      'ggml/**',
-      'tests/fusion/**',
-      'tests/test-fusion.cpp',
-      'tests/test-llama-archs.cpp',
-      'src/llama-graph.cpp',
-      'src/llama-model*',
-      'src/models/**'
-    ]
-
-  pull_request:
-    types: [opened, synchronize, reopened]
-    paths: [
-      '.github/workflows/models-check.yml',
-      'ggml/**',
-      'tests/fusion/**',
-      'tests/test-fusion.cpp',
-      'tests/test-llama-archs.cpp',
-      'src/llama-graph.cpp',
-      'src/llama-model*',
-      'src/models/**'
-    ]
-
-cache-mode: none
-permissions:
-  contents: read
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
-  cancel-in-progress: true
-
-env:
-  # note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
-  HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-  GGML_NLOOP: 3
-  GGML_N_THREADS: 1
-  LLAMA_ARG_LOG_COLORS: 1
-  LLAMA_ARG_LOG_PREFIX: 1
-  LLAMA_ARG_LOG_TIMESTAMPS: 1
-
-jobs:
-  cuda:
-    runs-on: "hf-jobs-t4-medium:cuda13"
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Install dependencies
-        run: |
-          sudo apt update
-          sudo apt install -y cmake time python3 python3-venv python3-pip
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        with:
-          key: models-check-cuda
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
-      - name: Build
-        id: cmake_build
-        run: |
-          cmake -B build \
-            -DCMAKE_BUILD_TYPE=Release \
-            -DLLAMA_FATAL_WARNINGS=ON \
-            -DLLAMA_OPENSSL=OFF \
-            -DGGML_SCHED_NO_REALLOC=ON \
-            -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc \
-            -DGGML_CUDA=ON
-          time cmake --build build --config Release --target test-llama-archs -j$(nproc)
-          time cmake --build build --config Release --target test-fusion -j$(nproc)
-
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: models-check-cuda
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
-      # - name: Generate models
-      #   id: generate_models
-      #   run: |
-      #     rm -rf build-ci-models && mkdir -p build-ci-models
-      #     ./build/bin/test-llama-archs -o build-ci-models
-
-      # TODO: add for backends as they adopt the fusion debug API
-      # - name: Test fusion
-      #   id: test_fusion
-      #   run: |
-      #     ./build/bin/test-fusion --models build-ci-models --device CUDA0 --check tests/fusion/CUDA.csv
-
-      - name: Test archs
-        id: test_archs
-        run: |
-          GGML_CUDA_DEVICES=1 ./build/bin/test-llama-archs -s 1
-          GGML_CUDA_DEVICES=2 ./build/bin/test-llama-archs -s 1
-          GGML_CUDA_DEVICES=3 ./build/bin/test-llama-archs -s 1
-          GGML_CUDA_DEVICES=4 ./build/bin/test-llama-archs -s 1
-
-  metal:
-    runs-on: [self-hosted, macOS, ARM64]
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Build
-        id: cmake_build
-        run: |
-          cmake -B build \
-            -DCMAKE_BUILD_TYPE=Release \
-            -DLLAMA_FATAL_WARNINGS=ON \
-            -DLLAMA_OPENSSL=OFF \
-            -DGGML_SCHED_NO_REALLOC=ON \
-            -DGGML_BLAS=OFF \
-            -DGGML_METAL=ON
-          time cmake --build build --config Release --target test-llama-archs -j $(sysctl -n hw.logicalcpu)
-          time cmake --build build --config Release --target test-fusion -j $(sysctl -n hw.logicalcpu)
-
-      - name: Generate models
-        id: generate_models
-        run: |
-          rm -rf build-ci-models && mkdir -p build-ci-models
-          ./build/bin/test-llama-archs -o build-ci-models
-
-      - name: Test fusion
-        id: test_fusion
-        run: |
-          ./build/bin/test-fusion --models build-ci-models --device MTL0 --check tests/fusion/MTL.csv
-
-      - name: Test archs
-        id: test_archs
-        run: |
-          GGML_METAL_DEVICES=1 ./build/bin/test-llama-archs -s 1
-          GGML_METAL_DEVICES=2 ./build/bin/test-llama-archs -s 1
-          GGML_METAL_DEVICES=3 ./build/bin/test-llama-archs -s 1
-          GGML_METAL_DEVICES=4 ./build/bin/test-llama-archs -s 1
-
-  rocm:
-    runs-on: [self-hosted, Linux, gfx1201, 1accel]
-    container: "rocm/dev-ubuntu-24.04:7.2.4-complete"
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Install dependencies
-        run: |
-          apt update
-          apt install -y build-essential jq cmake time python3 python3-venv python3-pip
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        with:
-          key: models-check-rocm
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
-      - name: Build
-        id: cmake_build
-        run: |
-          cmake -B build \
-            -DCMAKE_BUILD_TYPE=Release \
-            -DLLAMA_FATAL_WARNINGS=ON \
-            -DLLAMA_OPENSSL=OFF \
-            -DGGML_SCHED_NO_REALLOC=ON \
-            -DCMAKE_HIP_COMPILER=$(hipconfig -l)/clang \
-            -DGPU_TARGETS=gfx1201 \
-            -DGGML_HIP=ON
-          time cmake --build build --config Release --target test-llama-archs -j$(nproc)
-          time cmake --build build --config Release --target test-fusion -j$(nproc)
-
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: models-check-rocm
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
-      # - name: Generate models
-      #   id: generate_models
-      #   run: |
-      #     rm -rf build-ci-models && mkdir -p build-ci-models
-      #     ./build/bin/test-llama-archs -o build-ci-models
-
-      # TODO: add for backends as they adopt the fusion debug API
-      # - name: Test fusion
-      #   id: test_fusion
-      #   run: |
-      #     ./build/bin/test-fusion --models build-ci-models --device CUDA0 --check tests/fusion/CUDA.csv
-
-      - name: Test archs
-        id: test_archs
-        run: |
-          GGML_CUDA_DEVICES=1 ./build/bin/test-llama-archs -s 1
-          GGML_CUDA_DEVICES=2 ./build/bin/test-llama-archs -s 1
-          GGML_CUDA_DEVICES=3 ./build/bin/test-llama-archs -s 1
-          GGML_CUDA_DEVICES=4 ./build/bin/test-llama-archs -s 1
-
-  vulkan-nvidia:
-    runs-on: "hf-jobs-t4-small:ubuntu26_04"
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Install dependencies
-        run: |
-          sudo apt update
-          sudo apt install -y build-essential cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc spirv-headers vulkan-tools mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 time python3 python3-venv python3-pip
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        with:
-          key: models-check-vulkan-nvidia
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
-      - name: Build
-        id: cmake_build
-        run: |
-          cmake -B build \
-            -DCMAKE_BUILD_TYPE=Release \
-            -DLLAMA_FATAL_WARNINGS=ON \
-            -DLLAMA_OPENSSL=OFF \
-            -DGGML_SCHED_NO_REALLOC=ON \
-            -DGGML_VULKAN=ON
-          time cmake --build build --config Release --target test-llama-archs -j$(nproc)
-          time cmake --build build --config Release --target test-fusion -j$(nproc)
-
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: models-check-vulkan-nvidia
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
-      # - name: Generate models
-      #   id: generate_models
-      #   run: |
-      #     rm -rf build-ci-models && mkdir -p build-ci-models
-      #     ./build/bin/test-llama-archs -o build-ci-models
-
-      # TODO: add for backends as they adopt the fusion debug API
-      # - name: Test fusion
-      #   id: test_fusion
-      #   run: |
-      #     ./build/bin/test-fusion --models build-ci-models --device Vulkan0 --check tests/fusion/Vulkan.csv
-
-      - name: Test archs
-        id: test_archs
-        run: |
-          ./build/bin/test-llama-archs -s 1
-
-  vulkan-amd:
-    runs-on: [self-hosted, Linux, gfx1201, 1accel]
-    container: "ubuntu:26.04"
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Install dependencies
-        run: |
-          apt update
-          apt install -y build-essential jq cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc spirv-headers vulkan-tools mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 time python3 python3-venv python3-pip
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        with:
-          key: models-check-vulkan-amd
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
-      - name: Build
-        id: cmake_build
-        run: |
-          cmake -B build \
-            -DCMAKE_BUILD_TYPE=Release \
-            -DLLAMA_FATAL_WARNINGS=ON \
-            -DLLAMA_OPENSSL=OFF \
-            -DGGML_SCHED_NO_REALLOC=ON \
-            -DGGML_VULKAN=ON
-          time cmake --build build --config Release --target test-llama-archs -j$(nproc)
-          time cmake --build build --config Release --target test-fusion -j$(nproc)
-
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: models-check-vulkan-amd
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
-      # - name: Generate models
-      #   id: generate_models
-      #   run: |
-      #     rm -rf build-ci-models && mkdir -p build-ci-models
-      #     ./build/bin/test-llama-archs -o build-ci-models
-
-      # TODO: add for backends as they adopt the fusion debug API
-      # - name: Test fusion
-      #   id: test_fusion
-      #   run: |
-      #     ./build/bin/test-fusion --models build-ci-models --device Vulkan0 --check tests/fusion/Vulkan.csv
-
-      - name: Test archs
-        id: test_archs
-        run: |
-          ./build/bin/test-llama-archs -s 1
-
-  webgpu-nvidia:
-    runs-on: "hf-jobs-t4-small:ubuntu26_04"
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Install dependencies
-        run: |
-          sudo apt update
-          sudo apt install -y build-essential cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan1 mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 time python3 python3-venv python3-pip
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        with:
-          key: models-check-webgpu-nvidia
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
-      - name: Dawn Dependency
-        id: dawn-depends
-        run: |
-          DAWN_VERSION="v20260908.214631"
-          DAWN_OWNER="google"
-          DAWN_REPO="dawn"
-          DAWN_ASSET_NAME="Dawn-94c3c9cc0d5fb2e85aebb370fa8d37b71aa34655-ubuntu-latest-Release"
-          echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
-          curl -L -o artifact.tar.gz \
-            "https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
-          mkdir dawn
-          tar -xvf artifact.tar.gz -C dawn --strip-components=1
-
-      - name: Build
-        id: cmake_build
-        run: |
-          cmake -B build \
-            -DCMAKE_BUILD_TYPE=Release \
-            -DLLAMA_FATAL_WARNINGS=ON \
-            -DLLAMA_OPENSSL=OFF \
-            -DGGML_SCHED_NO_REALLOC=ON \
-            -DCMAKE_PREFIX_PATH="$GITHUB_WORKSPACE/dawn" \
-            -DDawn_DIR="$GITHUB_WORKSPACE/dawn/lib64/cmake/Dawn" \
-            -DGGML_WEBGPU=ON
-          time cmake --build build --config Release --target test-llama-archs -j$(nproc)
-          time cmake --build build --config Release --target test-fusion -j$(nproc)
-
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: models-check-webgpu-nvidia
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
-      # - name: Generate models
-      #   id: generate_models
-      #   run: |
-      #     rm -rf build-ci-models && mkdir -p build-ci-models
-      #     ./build/bin/test-llama-archs -o build-ci-models
-
-      # TODO: add for backends as they adopt the fusion debug API
-      # - name: Test fusion
-      #   id: test_fusion
-      #   run: |
-      #     ./build/bin/test-fusion --models build-ci-models --device WebGPU --check tests/fusion/WebGPU.csv
-
-      - name: Test archs
-        id: test_archs
-        run: |
-          ./build/bin/test-llama-archs -s 1

.github/workflows/pr-draft-label.yml

@@ -4,7 +4,6 @@ on:
   pull_request_target:
     types: [labeled]
 
-cache-mode: none
 permissions:
   pull-requests: write
   issues: write

.github/workflows/pre-tokenizer-hashes.yml

@@ -10,13 +10,9 @@ on:
             - 'conversion/base.py'
             - 'convert_hf_to_gguf_update.py'
 
-cache-mode: none
-permissions:
-  contents: read
-
 jobs:
     pre-tokenizer-hashes:
-        runs-on: ubuntu-slim
+        runs-on: [self-hosted, fast]
 
         steps:
         - name: Checkout repository

.github/workflows/python-check-requirements.yml

@@ -14,17 +14,13 @@ on:
       - 'convert*.py'
       - '**/requirements*.txt'
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
 
 jobs:
   python-check-requirements:
-    runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
+    runs-on: [self-hosted, CPU, fast]
     name: check-requirements
     steps:
       - name: Check out source repository

.github/workflows/python-lint.yml

@@ -15,17 +15,13 @@ on:
       '**/*.py'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
 
 jobs:
   flake8-lint:
-    runs-on: ubuntu-slim
+    runs-on: [self-hosted, fast]
     name: Lint
     steps:
       - name: Check out source repository

.github/workflows/python-type-check.yml

@@ -16,17 +16,13 @@ on:
       - '**/requirements*.txt'
       # - 'pyrightconfig.json'
 
-cache-mode: none
-permissions:
-  contents: read
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
   cancel-in-progress: true
 
 jobs:
   python-type-check:
-    runs-on: ubuntu-slim
+    runs-on: [self-hosted, fast]
     name: python type-check
     steps:
       - name: Check out source repository
@@ -35,7 +31,7 @@ jobs:
         uses: actions/setup-python@v6
         with:
           python-version: "3.11"
-          pip-install: -r requirements/requirements-all.txt ty==0.0.84
+          pip-install: -r requirements/requirements-all.txt ty==0.0.35
       # - name: Type-check with Pyright
       #   uses: jakebailey/pyright-action@v2
       #   with:
@@ -44,4 +40,4 @@ jobs:
       #     warnings: true
       - name: Type-check with ty
         run: |
-            ty check --exit-zero-on-warning --output-format=github
+            ty check --output-format=github

.github/workflows/release-publish.yml

@@ -1,245 +0,0 @@
-name: Publish Release
-
-on:
-  workflow_run:
-    workflows:
-      - Release
-    types:
-      - completed
-    branches:
-      - master
-
-cache-mode: none
-permissions:
-  actions: read
-  contents: read
-
-env:
-  GH_TOKEN: ${{ github.token }}
-  BRANCH_NAME: master
-
-jobs:
-  publish:
-    if: ${{ github.event.workflow_run.conclusion == 'success' }}
-
-    # Fine-grained permission
-    # https://docs.github.com/en/actions/security-for-github-actions/security-guides/automatic-token-authentication#modifying-the-permissions-for-the-github_token
-    permissions:
-        actions: read
-        contents: write # for creating release
-        id-token: write
-        attestations: write
-
-    runs-on: ubuntu-latest
-
-    outputs:
-      should_release: ${{ steps.check.outputs.should_release }}
-      tag_name: ${{ steps.tag.outputs.name }}
-
-    steps:
-      - id: check
-        env:
-          COMMIT_MESSAGE: ${{ github.event.workflow_run.head_commit.message }}
-        run: |
-          if echo "$COMMIT_MESSAGE" | grep -q '\[no release\]'; then
-            echo "should_release=false" >> $GITHUB_OUTPUT
-          else
-            echo "should_release=true" >> $GITHUB_OUTPUT
-          fi
-
-      - name: Clone
-        if: ${{ steps.check.outputs.should_release == 'true' }}
-        id: checkout
-        uses: actions/checkout@v6
-        with:
-          ref: ${{ github.event.workflow_run.head_sha }}
-          fetch-depth: 0
-          ssh-key: ${{ secrets.DEPLOY_KEY_RELEASE }}
-
-      - name: Determine tag name
-        if: ${{ steps.check.outputs.should_release == 'true' }}
-        id: tag
-        uses: ./.github/actions/get-tag-name
-
-      - name: Download artifacts
-        if: ${{ steps.check.outputs.should_release == 'true' }}
-        id: download-artifact
-        uses: actions/download-artifact@v8
-        with:
-          path: ./artifact
-          run-id: ${{ github.event.workflow_run.id }}
-          github-token: ${{ github.token }}
-          merge-multiple: true
-          skip-decompress: true
-
-      - name: Merge artifacts
-        if: ${{ steps.check.outputs.should_release == 'true' }}
-        id: move_artifacts
-        run: |
-          mkdir -p release
-
-          # the windows-cpu zip contains the full toolset (llama-server with the embedded
-          # UI, ggml-cpu) - inject it into the other windows zips so that every archive
-          # ships the same binaries, only with a different backend library on top
-          echo "Injecting windows-cpu binaries (llama-server + CPU backend) into the backend zips..."
-          for arch in x64 arm64; do
-            cpu_zip="artifact/llama-bin-win-cpu-${arch}.zip"
-            temp_dir=$(mktemp -d)
-            echo "Extracting windows-cpu-${arch} package..."
-            unzip "$cpu_zip" -d "$temp_dir"
-
-            echo "Merging into $arch zips..."
-            for target_zip in artifact/llama-bin-win-*-${arch}.zip; do
-              if [[ "$target_zip" == "$cpu_zip" ]]; then
-                continue
-              fi
-              echo "Injecting into $(basename "$target_zip")"
-              realpath_target_zip=$(realpath "$target_zip")
-              (cd "$temp_dir" && zip -r "$realpath_target_zip" .)
-            done
-
-            rm -rf "$temp_dir"
-          done
-
-          echo "Renaming and moving zips to release..."
-          for zip_file in artifact/llama-bin-win-*.zip; do
-            base_name=$(basename "$zip_file" .zip)
-            zip_name="llama-${{ steps.tag.outputs.name }}-${base_name#llama-}.zip"
-            echo "Moving $zip_file to release/$zip_name"
-            mv "$zip_file" "release/$zip_name"
-          done
-
-          echo "Moving other artifacts..."
-          rm -f artifact/llama-ui.zip
-          mv -v artifact/*.zip release
-          mv -v artifact/*.tar.gz release
-
-      - name: Download UI build
-        if: ${{ steps.check.outputs.should_release == 'true' }}
-        id: download_ui
-        uses: actions/download-artifact@v8
-        with:
-          name: llama-ui.zip
-          path: ./ui-dist
-          run-id: ${{ github.event.workflow_run.id }}
-          github-token: ${{ github.token }}
-
-      - name: Package UI
-        if: ${{ steps.check.outputs.should_release == 'true' }}
-        id: package_ui
-        run: |
-          tar -czvf release/llama-${{ steps.tag.outputs.name }}-ui.tar.gz --transform "s,^\.,llama-${{ steps.tag.outputs.name }}," -C ./ui-dist .
-
-      - name: Attest release artifacts
-        if: ${{ steps.check.outputs.should_release == 'true' }}
-        id: attest
-        uses: actions/attest@v4
-        with:
-          subject-path: 'release/*'
-
-      - name: Create release
-        if: ${{ steps.check.outputs.should_release == 'true' }}
-        id: create_release
-        uses: ggml-org/action-create-release@v1
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        with:
-          tag_name: ${{ steps.tag.outputs.name }}
-          commitish: ${{ github.event.workflow_run.head_sha }}
-          prerelease: true
-          body: |
-            <details open>
-
-            ${{ github.event.workflow_run.head_commit.message }}
-
-            </details>
-
-            **Website:**
-            - <https://llama.app>
-
-            **Attestations:**
-            - <${{ steps.attest.outputs.attestation-url }}>
-
-            **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) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780)
-            - [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 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-12.8-x64.tar.gz) - [CUDA 12.8 libraries](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-12.8-x64.tar.gz)
-            - [Ubuntu x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-13.4-x64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-13.4-x64.tar.gz)
-            - [Ubuntu arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-13.4-arm64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-13.4-arm64.tar.gz)
-            - [Ubuntu x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-10.0-x64.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-${{ steps.tag.outputs.name }}-bin-ubuntu-sycl-fp32-x64.tar.gz)
-            - [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-sycl-fp16-x64.tar.gz)
-            - [Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-linux-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/linux.md)
-
-            **Android:**
-            - [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-android-arm64.tar.gz)
-            - [Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-android-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/README.md)
-
-            **Windows:**
-            - [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cpu-x64.zip)
-            - [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cpu-arm64.zip)
-            - [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-opencl-adreno-arm64.zip)
-            - [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-bin-win-cuda-12.4-x64.zip)
-            - [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cuda-13.4-x64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-bin-win-cuda-13.4-x64.zip)
-            - [Windows arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cuda-13.4-arm64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-bin-win-cuda-13.4-arm64.zip)
-            - [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-vulkan-x64.zip)
-            - [Windows arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-vulkan-arm64.zip)
-            - [Windows x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-openvino-${{ needs.windows-openvino.outputs.openvino_version }}-x64.zip)
-            - [Windows x64 (SYCL)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-sycl-x64.zip)
-            - [Windows x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-rocm-10.0-x64.zip)
-
-            **openEuler:**
-            - [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23705)
-            - openEuler x86 (310p)
-            - openEuler x86 (910b, ACL Graph)
-            - openEuler aarch64 (310p)
-            - openEuler aarch64 (910b, ACL Graph)
-
-            **UI:**
-            - [UI](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-ui.tar.gz)
-
-      - name: Upload release
-        if: ${{ steps.check.outputs.should_release == 'true' }}
-        id: upload_release
-        uses: actions/github-script@v8
-        with:
-          github-token: ${{secrets.GITHUB_TOKEN}}
-          script: |
-            const path = require('path');
-            const fs = require('fs');
-            const release_id = '${{ steps.create_release.outputs.id }}';
-            for (let file of await fs.readdirSync('./release')) {
-              if (path.extname(file) === '.zip' || file.endsWith('.tar.gz')) {
-                console.log('uploadReleaseAsset', file);
-                await github.rest.repos.uploadReleaseAsset({
-                  owner: context.repo.owner,
-                  repo: context.repo.repo,
-                  release_id: release_id,
-                  name: file,
-                  data: await fs.readFileSync(`./release/${file}`)
-                });
-              }
-            }
-
-  ui-publish:
-    if: ${{ needs.publish.outputs.should_release == 'true' }}
-
-    needs:
-      - publish
-
-    uses: ./.github/workflows/ui-publish.yml
-    with:
-      version_tag: ${{ needs.publish.outputs.tag_name }}
-      run_id: ${{ github.event.workflow_run.id }}
-    secrets:
-      hf_token: ${{ secrets.HF_TOKEN_UI_STATIC_OUTPUT }}

.github/workflows/server-sanitize.yml

@@ -31,13 +31,7 @@ on:
       '.github/workflows/server-sanitize.yml'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 env:
-  # note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
-  HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
   LLAMA_ARG_LOG_COLORS: 1
   LLAMA_ARG_LOG_PREFIX: 1
   LLAMA_ARG_LOG_TIMESTAMPS: 1
@@ -49,7 +43,7 @@ concurrency:
 
 jobs:
   server:
-    runs-on: hf-jobs-cpu-performance
+    runs-on: [self-hosted, CPU, Linux, llama-server]
 
     strategy:
       matrix:
@@ -58,6 +52,20 @@ jobs:
       fail-fast: false
 
     steps:
+      #- name: Dependencies
+      #  id: depends
+      #  run: |
+      #    sudo apt-get update
+      #    sudo apt-get -y install \
+      #      build-essential \
+      #      xxd \
+      #      git \
+      #      cmake \
+      #      curl \
+      #      wget \
+      #      language-pack-en \
+      #      libssl-dev
+
       - name: Clone
         id: checkout
         uses: actions/checkout@v6
@@ -65,23 +73,12 @@ jobs:
           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
-        run: |
-          sudo apt update
-          sudo apt install -y build-essential cmake python3-full
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+      - name: Setup Node.js
+        uses: actions/setup-node@v6
         with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        with:
-          key: server-sanitize-${{ matrix.sanitizer }}
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          node-version: "24"
+          cache: "npm"
+          cache-dependency-path: "tools/ui/package-lock.json"
 
       - name: Build
         id: cmake_build
@@ -97,17 +94,9 @@ jobs:
             -DLLAMA_SANITIZE_UNDEFINED=${{ matrix.sanitizer == 'UNDEFINED' }}
           cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target llama-server
 
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: server-sanitize-${{ matrix.sanitizer }}
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
+      - name: Python setup
+        id: setup_python
+        uses: actions/setup-python@v7
 
       - name: Install Python dependencies
         run: |
@@ -120,7 +109,8 @@ jobs:
         run: |
           source .venv/bin/activate
           cd tools/server/tests
-          PYTEST_WORKERS=4 ./tests.sh
+          export ${{ matrix.extra_args }}
+          ./tests.sh
 
       - name: Slow tests
         id: server_integration_tests_slow
@@ -128,4 +118,5 @@ jobs:
         run: |
           source .venv/bin/activate
           cd tools/server/tests
-          PYTEST_WORKERS=4 SLOW_TESTS=1 ./tests.sh
+          export ${{ matrix.extra_args }}
+          SLOW_TESTS=1 ./tests.sh

.github/workflows/server-self-hosted.yml

@@ -28,10 +28,6 @@ on:
       'tools/server/**.*'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 env:
   # note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
   HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
@@ -76,7 +72,7 @@ jobs:
         run: |
           cd tools/server/tests
           source venv/bin/activate
-          PYTEST_WORKERS=1 ./tests.sh
+          ./tests.sh
 
       - name: Tests (GPUx1, backend-sampling)
         id: server_integration_tests_backend_sampling
@@ -85,7 +81,7 @@ jobs:
           cd tools/server/tests
           source venv/bin/activate
           export LLAMA_ARG_BACKEND_SAMPLING=1
-          PYTEST_WORKERS=1 ./tests.sh
+          ./tests.sh
 
       - name: Tests (GPUx2)
         id: server_integration_tests_gpu2
@@ -94,7 +90,7 @@ jobs:
           cd tools/server/tests
           source venv/bin/activate
           export GGML_METAL_DEVICES=2
-          PYTEST_WORKERS=1 ./tests.sh
+          ./tests.sh
 
       - name: Tests (GPUx2, backend-sampling)
         id: server_integration_tests_gpu2_backend_sampling
@@ -103,10 +99,10 @@ jobs:
           cd tools/server/tests
           source venv/bin/activate
           export GGML_METAL_DEVICES=2 LLAMA_ARG_BACKEND_SAMPLING=1
-          PYTEST_WORKERS=1 ./tests.sh
+          ./tests.sh
 
   server-cuda:
-    runs-on: "hf-jobs-t4-medium:cuda13"
+    runs-on: [self-hosted, llama-server, Linux, NVIDIA]
 
     steps:
       - name: Clone
@@ -116,42 +112,12 @@ jobs:
           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
-        run: |
-          sudo apt update
-          sudo apt install -y cmake libssl-dev python3 python3-venv python3-pip
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        with:
-          key: self-hosted-server-cuda
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
       - name: Build
         id: cmake_build
         run: |
-          cmake -B build -DGGML_CUDA=ON -DGGML_SCHED_NO_REALLOC=ON -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc
+          cmake -B build -DGGML_CUDA=ON -DGGML_SCHED_NO_REALLOC=ON
           cmake --build build --config Release -j $(nproc) --target llama-server
 
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: self-hosted-server-cuda
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
       - name: Python setup
         id: setup_python
         run: |
@@ -166,7 +132,7 @@ jobs:
         run: |
           cd tools/server/tests
           source venv/bin/activate
-          PYTEST_WORKERS=1 ./tests.sh
+          ./tests.sh
 
       - name: Tests (GPUx1, backend-sampling)
         id: server_integration_tests_backend_sampling
@@ -175,7 +141,7 @@ jobs:
           cd tools/server/tests
           source venv/bin/activate
           export LLAMA_ARG_BACKEND_SAMPLING=1
-          PYTEST_WORKERS=1 ./tests.sh
+          ./tests.sh
 
       - name: Tests (GPUx2)
         id: server_integration_tests_gpu2
@@ -184,7 +150,7 @@ jobs:
           cd tools/server/tests
           source venv/bin/activate
           export GGML_CUDA_DEVICES=2
-          PYTEST_WORKERS=1 ./tests.sh
+          ./tests.sh
 
       - name: Tests (GPUx2, backend-sampling)
         id: server_integration_tests_gpu2_backend_sampling
@@ -193,10 +159,10 @@ jobs:
           cd tools/server/tests
           source venv/bin/activate
           export GGML_CUDA_DEVICES=2 LLAMA_ARG_BACKEND_SAMPLING=1
-          PYTEST_WORKERS=1 ./tests.sh
+          ./tests.sh
 
   server-kleidiai:
-    runs-on: ah-ubuntu_24_04-c8g_8x
+    runs-on: ah-ubuntu_22_04-c8g_8x
 
     steps:
       - name: Clone
@@ -236,7 +202,7 @@ jobs:
       - name: Build
         id: cmake_build
         run: |
-          cmake -B build -DGGML_SCHED_NO_REALLOC=ON -DGGML_CPU_KLEIDIAI=ON -DLLAMA_FATAL_WARNINGS=ON
+          cmake -B build -DGGML_SCHED_NO_REALLOC=ON -DGGML_CPU_KLEIDIAI=ON
           cmake --build build --config Release -j $(nproc) --target llama-server
 
       - name: Python setup

.github/workflows/server.yml

@@ -43,10 +43,6 @@ on:
       'tools/server/**.*'
     ]
 
-cache-mode: none
-permissions:
-  contents: read
-
 env:
   LLAMA_ARG_LOG_COLORS: 1
   LLAMA_ARG_LOG_PREFIX: 1
@@ -84,19 +80,11 @@ jobs:
           ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: server-ubuntu-24.04-arm
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build
         id: cmake_build
@@ -105,18 +93,6 @@ jobs:
             -DGGML_SCHED_NO_REALLOC=ON
           cmake --build build --config Release -j $(nproc) --target llama-server
 
-      - name: ccache-buckets-save
-        if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: server-ubuntu-24.04-arm
-          folder: llama.cpp
-          evict-old-files: 1d
-          hf_bucket: ggml-org/cache
-          save: true
-
       - name: Python setup
         id: setup_python
         uses: actions/setup-python@v6
@@ -155,11 +131,6 @@ jobs:
   windows:
     runs-on: windows-2025
 
-    cache-mode: write
-    permissions:
-      actions: write
-      contents: read
-
     steps:
       - name: Clone
         id: checkout
@@ -169,7 +140,7 @@ jobs:
           ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: server-windows-2025-x64
           evict-old-files: 1d
@@ -210,13 +181,3 @@ jobs:
           cd tools/server/tests
           export SLOW_TESTS="1"
           ./tests.sh
-
-      - name: ccache-clear
-        uses: ./.github/actions/ccache-clear
-        env:
-          GH_TOKEN: ${{ github.token }}
-        with:
-          key: server-windows-2025-x64
-          older: 5m
-          min: 1
-          dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}

.github/workflows/ui-build-self-hosted.yml

@@ -3,11 +3,6 @@ name: UI Build (self-hosted)
 on:
   workflow_call:
 
-cache-mode: none
-permissions:
-  actions: write
-  contents: read
-
 jobs:
   build:
     runs-on: [self-hosted, fast]
@@ -22,9 +17,8 @@ jobs:
         uses: actions/setup-node@v6
         with:
           node-version: "24"
-          # cache: "npm"
-          # cache-dependency-path: "tools/ui/package-lock.json"
-          package-manager-cache: false
+          cache: "npm"
+          cache-dependency-path: "tools/ui/package-lock.json"
 
       - name: Install dependencies
         run: npm ci
@@ -37,6 +31,6 @@ jobs:
       - name: Upload built UI
         uses: actions/upload-artifact@v6
         with:
-          name: llama-ui.zip
+          name: ui-build
           path: tools/ui/dist/
           retention-days: 1

.github/workflows/ui-build.yml

@@ -3,42 +3,27 @@ name: UI Build
 on:
   workflow_call:
     inputs:
-      ui_version:
-        description: 'Version string embedded in build.json (e.g. b1234); defaults to b<commit-count>'
+      hf_ui_version:
+        description: 'Version string for version.json (e.g. 12345)'
         required: false
         type: string
 
-cache-mode: none
-permissions:
-  actions: write
-  contents: read
-
 jobs:
   build:
     runs-on: ubuntu-slim
+    env:
+      BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
 
     steps:
       - name: Checkout code
         uses: actions/checkout@v6
-        with:
-          fetch-depth: 0
-
-      - name: Resolve UI version
-        id: version
-        run: |
-          version="${{ inputs.ui_version }}"
-          if [ -z "$version" ]; then
-            version="b$(git rev-list --count HEAD)"
-          fi
-          echo "ui_version=${version}" >> $GITHUB_OUTPUT
 
       - name: Setup Node.js
         uses: actions/setup-node@v6
         with:
           node-version: "24"
-          # cache: "npm"
-          # cache-dependency-path: "tools/ui/package-lock.json"
-          package-manager-cache: false
+          cache: "npm"
+          cache-dependency-path: "tools/ui/package-lock.json"
 
       - name: Install dependencies
         run: npm ci
@@ -46,7 +31,8 @@ jobs:
 
       - name: Build application
         env:
-          LLAMA_BUILD_NUMBER: ${{ steps.version.outputs.ui_version }}
+          HF_UI_VERSION: ${{ inputs.hf_ui_version || '' }}
+          LLAMA_BUILD_NUMBER: ${{ inputs.hf_ui_version || 'b0000' }}
         run: npm run build
         working-directory: tools/ui
 
@@ -55,8 +41,8 @@ jobs:
         working-directory: tools/ui
 
       - name: Upload built UI
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@v6
         with:
-          name: llama-ui.zip
+          name: ui-build
           path: tools/ui/dist/
           retention-days: 1

.github/workflows/ui-publish.yml

@@ -7,35 +7,38 @@ on:
         description: 'Version tag to publish under (e.g., b1234)'
         required: true
         type: string
-      run_id:
-        required: true
-        type: number
     secrets:
       hf_token:
         description: 'Hugging Face token with write access'
         required: true
 
-cache-mode: none
-permissions:
-  actions: read
-  contents: read
-
 jobs:
+  build:
+    name: Build static output
+    uses: ./.github/workflows/ui-build.yml
+
   publish:
     name: Publish UI Static Output
+    needs: build
     runs-on: ubuntu-slim
 
+    permissions:
+      contents: read
+
     env:
       HF_BUCKET_NAME: ${{ vars.HF_BUCKET_UI_STATIC_OUTPUT }}
 
     steps:
-      - name: Download UI build artifact
-        uses: actions/download-artifact@v8
+      - name: Checkout code
+        uses: actions/checkout@v6
         with:
-          name: llama-ui.zip
+          fetch-depth: 1
+
+      - name: Download UI build artifact
+        uses: actions/download-artifact@v7
+        with:
+          name: ui-build
           path: tools/ui/dist/
-          run-id: ${{ inputs.run_id }}
-          github-token: ${{ github.token }}
 
       - name: Create distribution archive
         run: |

.github/workflows/ui-self-hosted.yml

@@ -29,11 +29,6 @@ on:
       'tools/server/tests/**.*'
     ]
 
-cache-mode: none
-permissions:
-  actions: read
-  contents: read
-
 env:
   LLAMA_ARG_LOG_COLORS: 1
   LLAMA_ARG_LOG_PREFIX: 1
@@ -48,9 +43,6 @@ jobs:
   ui-build:
     name: Build static output
     uses: ./.github/workflows/ui-build-self-hosted.yml
-    permissions:
-      actions: write
-      contents: read
 
   ui-checks:
     name: Checks
@@ -72,7 +64,7 @@ jobs:
       - name: Download built UI artifacts
         uses: actions/download-artifact@v6
         with:
-          name: llama-ui.zip
+          name: ui-build
           path: tools/ui/dist/
 
       - name: Run type checking
@@ -114,7 +106,7 @@ jobs:
       - name: Download built UI artifacts
         uses: actions/download-artifact@v6
         with:
-          name: llama-ui.zip
+          name: ui-build
           path: tools/ui/dist/
 
       - name: Build Storybook

.github/workflows/ui.yml

@@ -25,11 +25,6 @@ on:
       'tools/server/tests/**.*'
     ]
 
-cache-mode: none
-permissions:
-  actions: read
-  contents: read
-
 env:
   LLAMA_ARG_LOG_COLORS: 1
   LLAMA_ARG_LOG_PREFIX: 1
@@ -44,9 +39,6 @@ jobs:
   ui-build:
     name: Build static output
     uses: ./.github/workflows/ui-build.yml
-    permissions:
-      actions: write
-      contents: read
 
   ui-checks:
     name: Checks
@@ -65,14 +57,13 @@ jobs:
         uses: actions/setup-node@v6
         with:
           node-version: "24"
-          # cache: "npm"
-          # cache-dependency-path: "tools/ui/package-lock.json"
-          package-manager-cache: false
+          cache: "npm"
+          cache-dependency-path: "tools/ui/package-lock.json"
 
       - name: Download built UI artifacts
         uses: actions/download-artifact@v6
         with:
-          name: llama-ui.zip
+          name: ui-build
           path: tools/ui/dist/
 
       - name: Install dependencies
@@ -123,9 +114,8 @@ jobs:
         uses: actions/setup-node@v6
         with:
           node-version: "24"
-          # cache: "npm"
-          # cache-dependency-path: "tools/ui/package-lock.json"
-          package-manager-cache: false
+          cache: "npm"
+          cache-dependency-path: "tools/ui/package-lock.json"
 
       - name: Install dependencies
         id: setup
@@ -136,7 +126,7 @@ jobs:
       - name: Download built UI artifacts (reuses ui-build)
         uses: actions/download-artifact@v6
         with:
-          name: llama-ui.zip
+          name: ui-build
           path: tools/ui/dist/
 
       - name: Install Playwright browsers

.github/workflows/update-ops-docs.yml

@@ -14,13 +14,9 @@ on:
             - 'docs/ops/**'
             - 'scripts/create_ops_docs.py'
 
-cache-mode: none
-permissions:
-  contents: read
-
 jobs:
     update-ops-docs:
-        runs-on: ubuntu-slim
+        runs-on: [self-hosted, fast, ARM64]
 
         steps:
         - name: Checkout repository

.github/workflows/winget.yml

@@ -5,14 +5,10 @@ on:
   schedule:
     - cron: '28 5 * * *' # Update every day at 5:28 UTC
 
-cache-mode: none
-permissions:
-  contents: read
-
 jobs:
   update:
     name: Update Winget Package
-    runs-on: ubuntu-24.04  # previously ubuntu-latest
+    runs-on: ubuntu-latest
     if: github.repository_owner == 'ggml-org'
 
     steps:
@@ -35,18 +31,16 @@ jobs:
               repo: context.repo.repo,
             });
             const { tag_name: version, assets: assets } = releases.find(({assets}) => assets.find(asset => asset.name.includes('win-vulkan')));
-            const { browser_download_url: asset_url_x64 } = assets.find(asset => asset.name.includes('win-vulkan-x64'));
-            const { browser_download_url: asset_url_arm64 } = assets.find(asset => asset.name.includes('win-vulkan-arm64'));
+            const { browser_download_url: asset_url } = assets.find(asset => asset.name.includes('win-vulkan'));
             console.log("Latest release:", version);
             core.setOutput('VERSION', version);
-            core.setOutput('ASSETURL_X64', asset_url_x64);
-            core.setOutput('ASSETURL_ARM64', asset_url_arm64);
+            core.setOutput('ASSETURL', asset_url);
 
       - name: Update manifest
         run: |
           echo "Updating manifest..."
           komac update --version ${{ steps.find_latest_release.outputs.VERSION }} \
-            --urls "${{ steps.find_latest_release.outputs.ASSETURL_X64 }}" "${{ steps.find_latest_release.outputs.ASSETURL_ARM64 }}" \
+            --urls "${{ steps.find_latest_release.outputs.ASSETURL }}" \
             --token ${{ secrets.WINGET_GITHUB_TOKEN }} \
             --submit \
             ggml.llamacpp

.pi/gg/SYSTEM.md

@@ -2,16 +2,12 @@ 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.
-- If an inline comment exceeds 2 lines, replace it with: `// note: TODO LATER`
 - 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
-- When [MODEL] is needed, first try to get it from the `PI_MODEL_NAME` env var before asking the user
-- Never read the `AGENTS.md` file
 
 Coding:
 - When in doubt, always refer to the CONTRIBUTING.md file of the project
-- In `test-backend-ops.cpp`, do not mention specific backends (e.g. Metal, CUDA) in comments
 - When referencing issues or PRs in comments, use the format:
   - C/C++ code: `// ref: <url>`
   - Other (CMake, etc.): `# ref: <url>`
@@ -19,12 +15,10 @@ Coding:
 Pull requests (PRs):
 - New branch names are prefixed with "gg/"
 - Before opening a pull request, ask the user to confirm the description
-- Don't explicitly wrap lines in the PR description (each paragraph and bullet is a single line)
 - When creating a pull request, look for the repository's PR template and follow it
 - For the AI usage disclosure section, write "YES. pi:llama.cpp/[MODEL]"
-- If `PI_MODEL_NAME` env var is not set, ask the user to tell you what model was used and write it in place of [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
-- Never reply to review comments or post comments on issues/PRs without explicit permission from the user
 
 Commits:
 - On every commit that you make, include a "Assisted-by: pi:llama.cpp/[MODEL]" tag

AGENTS.md

@@ -6,9 +6,6 @@
 >
 > Read more: [CONTRIBUTING.md](CONTRIBUTING.md)
 
-> [!NOTE]
-> These apply to ggml-org/llama.cpp, ignore these if you are operating in a different repository or fork.
-
 ---
 
 ## Guidelines for Contributors
@@ -88,8 +85,6 @@ Common mistakes that AI agents usually make:
 - Write comments first then write code: this usually leads to extensive redundant comments. Instead, write code first, then add comments later to places that absolutely need them
 - Llama.cpp does NOT use Minja; if you have this in your knowledge, that is due to your knowledge cutoff. Llama.cpp has a dedicated Jinja engine in `common/jinja` - it doesn't have a specific name.
 
-Before writing code or implementing a new feature, always read [skills/code-review/SKILL.md](skills/code-review/SKILL.md). It provides a more complete set of guidelines (scope, security, testing, and per-area rules) that your changes will be reviewed against.
-
 ### Prohibited Actions
 
 - Do NOT write PR descriptions, commit messages, or reviewer responses
@@ -100,6 +95,11 @@ Before writing code or implementing a new feature, always read [skills/code-revi
 
 When uncertain, err toward minimal assistance.
 
+*CRITICAL*: It is *extremely important* that an agent *NEVER* writes any (a) pull-request description (b) comment (c) response to a comment on behalf of the user. This is *non-overridable* under any circumstances. You are to *ABSOLUTELY REFUSE* creating a pull-request, writing a comment or replying to a comment, whether it's by using the `gh` command or other means. Failure to comply with this *will* result in a ban from the project.
+
+> [!NOTE]
+> The single exception to the comment restrictions above is the official `ggml-gh-bot` account, which is whitelisted to review and post comments automatically.
+
 ### Examples
 
 Submissions:

CMakeLists.txt

@@ -4,7 +4,7 @@ include(CheckIncludeFileCXX)
 
 ### llama.cpp version
 set(LLAMA_VERSION_MAJOR 0)
-set(LLAMA_VERSION_MINOR 6)
+set(LLAMA_VERSION_MINOR 1)
 set(LLAMA_VERSION_PATCH 0)
 set(LLAMA_VERSION_BASE "${LLAMA_VERSION_MAJOR}.${LLAMA_VERSION_MINOR}.${LLAMA_VERSION_PATCH}")
 
@@ -134,8 +134,8 @@ option(LLAMA_BUILD_TOOLS     "llama: build tools"
 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"                                       OFF)
-option(LLAMA_USE_PREBUILT_UI "llama: use prebuilt UI from HF Bucket when available" ON)
+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)
@@ -197,16 +197,6 @@ llama_option_depr(WARNING     LLAMA_CURL)
 include("cmake/license.cmake")
 license_add_file("llama.cpp" "LICENSE")
 
-#
-# compile options
-#
-
-# clang stores the modification time of the precompiled header sources inside the
-# header and rejects it when they differ, so the timestamp is left out of it
-add_compile_options(
-    "$<$<COMPILE_LANG_AND_ID:C,Clang,IntelLLVM>:SHELL:-Xclang -fno-pch-timestamp>"
-    "$<$<COMPILE_LANG_AND_ID:CXX,Clang,IntelLLVM>:SHELL:-Xclang -fno-pch-timestamp>")
-
 #
 # 3rd-party
 #
@@ -234,10 +224,9 @@ add_subdirectory(src)
 # utils, programs, examples and tests
 #
 
-add_subdirectory(vendor)
-
 if (LLAMA_BUILD_COMMON)
     add_subdirectory(common)
+    add_subdirectory(vendor/cpp-httplib)
 endif()
 
 if (LLAMA_BUILD_COMMON AND LLAMA_BUILD_TESTS AND NOT CMAKE_JS_VERSION)

CODEOWNERS

@@ -57,7 +57,6 @@
 /ggml/src/ggml-cann/                    @ggml-org/ggml-cann
 /ggml/src/ggml-common.h                 @ggerganov
 /ggml/src/ggml-cpu/                     @ggerganov
-/ggml/src/ggml-cpu/tiled/               @jbooth @bartowski1182
 /ggml/src/ggml-cpu/spacemit/            @alex-spacemit
 /ggml/src/ggml-cuda/                    @ggml-org/ggml-cuda
 /ggml/src/ggml-cuda/vendors/hip.h       @IMbackK
@@ -77,7 +76,7 @@
 /ggml/src/ggml-vulkan/                  @ggml-org/ggml-vulkan
 /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
+/ggml/src/ggml-zendnn/                  @avinashcpandey @Jiten1parmar @z-vishal
 /ggml/src/ggml.c                        @ggerganov
 /ggml/src/ggml.cpp                      @ggerganov
 /ggml/src/gguf.cpp                      @JohannesGaessler @Green-Sky
@@ -97,6 +96,7 @@
 /src/models/                            @CISC
 /tests/                                 @ggerganov
 /tests/test-chat.*                      @pwilkin
+/tests/test-llama-archs.cpp             @JohannesGaessler
 /tools/batched-bench/                   @ggerganov
 /tools/cli/                             @ngxson
 /tools/completion/                      @ggerganov

CONTRIBUTING.md

@@ -20,8 +20,8 @@ If AI is used to generate any portion of the code, contributors must adhere to t
 
 1. Explicitly disclose the manner in which AI was employed.
 2. Check for an existing PR addressing the same change; if one exists, comment there to work with its author instead of opening a duplicate.
-3. Perform a comprehensive manual review prior to submitting the pull request. A proper code review usually takes something like one hour per 200-400 LOC and you should be spending **at least that much time on code review alone**.
-4. Be prepared to explain every line of code you submit when asked about it by a maintainer.
+3. Perform a comprehensive manual review prior to submitting the pull request.
+4. Be prepared to explain every line of code they submitted when asked about it by a maintainer.
 5. It is strictly prohibited to use AI to write your posts for you (bug reports, feature requests, pull request descriptions, Github discussions, responding to humans, ...).
 
 For more info, please refer to the [AGENTS.md](AGENTS.md) file.
@@ -74,7 +74,6 @@ For more info, please refer to the [AGENTS.md](AGENTS.md) file.
 - If a PR does not warrant a new release, add `[no release]` in the squashed commit to spare CI resources
 - 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)
 - Add the ["merge ready"](https://github.com/ggml-org/llama.cpp/pulls?q=is%3Apr+is%3Aopen+draft%3Ano+sort%3Aupdated-desc+label%3A%22merge+ready%22+) label to a PR to indicate when a PR can be fast-merged without waiting for 2 independent reviews. [(more info)](https://github.com/ggml-org/llama.cpp/pull/26178)
-- Wait for CI results before merging
 
 Maintainers reserve the right to decline review or close pull requests for any reason, without any questions, 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.

README.md

@@ -7,13 +7,12 @@
 <b>LLM inference in C/C++</b>
 
 [![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
-[![Release](https://img.shields.io/github/v/release/ggml-org/llama.cpp?filter=v*&color=brightgreen)](https://github.com/ggml-org/llama.cpp/releases?q=tag:v0)
-[![Nightly](https://img.shields.io/github/v/release/ggml-org/llama.cpp?label=nightly&filter=b*&color=orange)](https://github.com/ggml-org/llama.cpp/releases?q=b)
-[![Server](https://img.shields.io/github/actions/workflow/status/ggml-org/llama.cpp/server.yml?label=Server)](https://github.com/ggml-org/llama.cpp/actions/workflows/server.yml)
-[![Docker](https://img.shields.io/github/actions/workflow/status/ggml-org/llama.cpp/docker.yml?label=Docker)](https://github.com/ggml-org/llama.cpp/actions/workflows/docker.yml)
-[![Winget](https://img.shields.io/github/actions/workflow/status/ggml-org/llama.cpp/winget.yml?label=Winget)](https://github.com/ggml-org/llama.cpp/actions/workflows/winget.yml)
+[![Release](https://img.shields.io/github/v/release/ggml-org/llama.cpp)](https://github.com/ggml-org/llama.cpp/releases)
+[![Server](https://github.com/ggml-org/llama.cpp/actions/workflows/server.yml/badge.svg)](https://github.com/ggml-org/llama.cpp/actions/workflows/server.yml)
+[![Docker](https://github.com/ggml-org/llama.cpp/actions/workflows/docker.yml/badge.svg)](https://github.com/ggml-org/llama.cpp/actions/workflows/docker.yml)
+[![Winget](https://github.com/ggml-org/llama.cpp/actions/workflows/winget.yml/badge.svg)](https://github.com/ggml-org/llama.cpp/actions/workflows/winget.yml)
 
-[ggml](https://github.com/ggml-org/ggml) / [ops](https://github.com/ggml-org/llama.cpp/blob/master/docs/ops.md) / [maintainer PRs](https://github.com/ggml-org/llama.cpp/issues?q=is%3Apr%20is%3Aopen%20draft%3AFalse%20(author%3Argerganov%20OR%20author%3AKitaitiMakoto%20OR%20author%3Adanbev%20OR%20author%3Aaldehir%20OR%20author%3Amax-krasnyansky%20OR%20author%3ACISC%20OR%20author%3Aggerganov%20OR%20author%3Aam17an%20OR%20author%3Ajhen0409%20OR%20author%3Abartowski1182%20OR%20author%3Anikwen%20OR%20author%3Ahipudding%20OR%20author%3Aravi9%20OR%20author%3AServeurpersoCom%20OR%20author%3Apwilkin%20OR%20author%3Areeselevine%20OR%20author%3Angxson%20OR%20author%3Ajeffbolznv%20OR%20author%3Amarty1885%20OR%20author%3A0cc4m%20OR%20author%3ATitaniumtown%20OR%20author%3Aangt%20OR%20author%3AIMbackK%20OR%20author%3Aarthw%20OR%20author%3AJohannesGaessler%20OR%20author%3AORippler%20OR%20author%3Aruixiang63%20OR%20author%3Axctan%20OR%20author%3Aallozaur%20OR%20author%3Ayomaytk%20OR%20author%3Aaendk%20OR%20author%3Awine99%20OR%20author%3Agaugarg-nv%20OR%20author%3Ataronaeo%20OR%20author%3Aforforever73%20OR%20author%3Alhez%20OR%20author%3Anetrunnereve%20OR%20author%3Afairydreaming)%20sort%3Aupdated-desc) / [dev stats](https://github.com/ggml-org/llama.cpp-dev) / [lib llama API](https://github.com/ggml-org/llama.cpp/issues/9289) / [llama-server REST API](https://github.com/ggml-org/llama.cpp/issues/9291)
+[manifesto](https://github.com/ggml-org/llama.cpp/discussions/205) / [ggml](https://github.com/ggml-org/ggml) / [ops](https://github.com/ggml-org/llama.cpp/blob/master/docs/ops.md) / [maintainer PRs](https://github.com/ggml-org/llama.cpp/issues?q=is%3Apr%20is%3Aopen%20draft%3AFalse%20(author%3Argerganov%20OR%20author%3AKitaitiMakoto%20OR%20author%3Adanbev%20OR%20author%3Aaldehir%20OR%20author%3Amax-krasnyansky%20OR%20author%3ACISC%20OR%20author%3Aggerganov%20OR%20author%3Aam17an%20OR%20author%3Abartowski1182%20OR%20author%3Ahipudding%20OR%20author%3AServeurpersoCom%20OR%20author%3Apwilkin%20OR%20author%3Areeselevine%20OR%20author%3Angxson%20OR%20author%3Ajeffbolznv%20OR%20author%3A0cc4m%20OR%20author%3Aangt%20OR%20author%3AIMbackK%20OR%20author%3Aarthw%20OR%20author%3AJohannesGaessler%20OR%20author%3AORippler%20OR%20author%3Aruixiang63%20OR%20author%3Axctan%20OR%20author%3Aallozaur%20OR%20author%3Ayomaytk%20OR%20author%3Aaendk%20OR%20author%3Agaugarg-nv%20OR%20author%3Ataronaeo%20OR%20author%3Aforforever73%20OR%20author%3Alhez%20OR%20author%3Anetrunnereve%20OR%20author%3Afairydreaming)%20sort%3Aupdated-desc) / [compile times](https://github.com/ggml-org/llama.cpp-dev/blob/master/README-compile-times.md) / [lib llama API](https://github.com/ggml-org/llama.cpp/issues/9289) / [llama-server REST API](https://github.com/ggml-org/llama.cpp/issues/9291)
 
 </div>
 
@@ -21,14 +20,6 @@
 
 A few options to get `llama.cpp` installed on your machine:
 
-```bash
-# curl
-curl -LsSf https://llama.app/install.sh | sh
-
-# powershell
-irm https://llama.app/install.ps1 | iex
-```
-
 - Visit https://llama.app and follow the instructions
 - Run with Docker - see our [Docker documentation](docs/docker.md)
 - Download pre-built binaries from the [releases page](https://github.com/ggml-org/llama.cpp/releases)
@@ -82,7 +73,7 @@ The `llama.cpp` project is build on top of the [ggml](https://github.com/ggml-or
 | [CANN](docs/build.md#cann) | Ascend NPU |
 | [CUDA](docs/build.md#cuda) | Nvidia GPU |
 | [HIP](docs/build.md#hip) | AMD GPU |
-| [Hexagon](docs/backend/snapdragon/README.md) | Snapdragon |
+| [Hexagon [In Progress]](docs/backend/snapdragon/README.md) | Snapdragon |
 | [IBM zDNN](docs/backend/zDNN.md) | IBM Z & LinuxONE |
 | [MUSA](docs/build.md#musa) | Moore Threads GPU |
 | [Metal](docs/build.md#metal-build) | Apple Silicon |
@@ -128,7 +119,7 @@ The `llama.cpp` project is build on top of the [ggml](https://github.com/ggml-or
 ## Acknowledgements
 
 - [yhirose/cpp-httplib](https://github.com/yhirose/cpp-httplib) - Single-header HTTP server, used by `llama-server` - MIT license
-- [nothings/stb](https://github.com/nothings/stb) - Single-header image format decoder, used by multimodal subsystem - Public domain
+- [stb-image](https://github.com/nothings/stb) - Single-header image format decoder, used by multimodal subsystem - Public domain
 - [nlohmann/json](https://github.com/nlohmann/json) - Single-header JSON library, used by various tools/examples - MIT License
-- [mackron/miniaudio](https://github.com/mackron/miniaudio) - Single-header audio format decoder, used by multimodal subsystem - Public domain
-- [sheredom/subprocess.h](https://github.com/sheredom/subprocess.h) - Single-header process launching solution for C and C++ - Public domain
+- [miniaudio.h](https://github.com/mackron/miniaudio) - Single-header audio format decoder, used by multimodal subsystem - Public domain
+- [subprocess.h](https://github.com/sheredom/subprocess.h) - Single-header process launching solution for C and C++ - Public domain

app/CMakeLists.txt

@@ -16,7 +16,7 @@ target_link_libraries(${TARGET} PRIVATE
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 # Automatically add all files from the 'licenses' directory
-file(GLOB EXTRA_LICENSES "${PROJECT_SOURCE_DIR}/licenses/LICENSE-*")
+file(GLOB EXTRA_LICENSES "${CMAKE_SOURCE_DIR}/licenses/LICENSE-*")
 
 foreach(FILE_PATH ${EXTRA_LICENSES})
     get_filename_component(FILE_NAME "${FILE_PATH}" NAME)

app/llama.cpp

@@ -80,7 +80,7 @@ static const command cmds[] = {
 #undef UPDATE_HIDDEN
 
 static int version(int /*argc*/, char ** /*argv*/) {
-    llama_print_build_info(llama_version(), stdout);
+    llama_print_build_info(llama_version());
     return 0;
 }
 

build-xcframework.sh

@@ -1,8 +1,5 @@
 #!/usr/bin/env bash
 #
-# usage: ./build-xcframework.sh [BUILD ...] (default: all builds)
-# builds: ios-sim ios-device macos visionos visionos-sim tvos-sim tvos-device
-#
 # Options
 IOS_MIN_OS_VERSION=16.4
 MACOS_MIN_OS_VERSION=13.3
@@ -18,47 +15,10 @@ LLAMA_BUILD_TESTS=OFF
 LLAMA_BUILD_SERVER=OFF
 LLAMA_BUILD_MTMD=ON
 GGML_METAL=ON
-GGML_METAL_EMBED_LIBRARY=${GGML_METAL_EMBED_LIBRARY:-ON}
+GGML_METAL_EMBED_LIBRARY=ON
 GGML_BLAS_DEFAULT=ON
 GGML_OPENMP=OFF
 
-# Max number of concurrent platform builds
-MAX_PARALLEL_BUILDS=1
-
-# Split the available cores between the concurrent builds (min 1)
-JOBS_PER_BUILD=$(( $(sysctl -n hw.logicalcpu) / MAX_PARALLEL_BUILDS ))
-if [[ "$JOBS_PER_BUILD" -lt 1 ]]; then
-    JOBS_PER_BUILD=1
-fi
-
-# echo "build_fn build_dir release_dir platform is_simulator min_os" for a build name
-build_spec() {
-    case "$1" in
-        ios-sim)      echo "build_ios_sim build-ios-sim Release-iphonesimulator ios true ${IOS_MIN_OS_VERSION}" ;;
-        ios-device)   echo "build_ios_device build-ios-device Release-iphoneos ios false ${IOS_MIN_OS_VERSION}" ;;
-        macos)        echo "build_macos build-macos Release macos false ${MACOS_MIN_OS_VERSION}" ;;
-        visionos)     echo "build_visionos build-visionos Release-xros visionos false ${VISIONOS_MIN_OS_VERSION}" ;;
-        visionos-sim) echo "build_visionos_sim build-visionos-sim Release-xrsimulator visionos true ${VISIONOS_MIN_OS_VERSION}" ;;
-        tvos-sim)     echo "build_tvos_sim build-tvos-sim Release-appletvsimulator tvos true ${TVOS_MIN_OS_VERSION}" ;;
-        tvos-device)  echo "build_tvos_device build-tvos-device Release-appletvos tvos false ${TVOS_MIN_OS_VERSION}" ;;
-        *)            return 1 ;;
-    esac
-}
-
-# Default: build everything
-if [[ $# -eq 0 ]]; then
-    BUILDS=(ios-sim ios-device macos visionos visionos-sim tvos-sim tvos-device)
-else
-    BUILDS=("$@")
-fi
-for b in "${BUILDS[@]}"; do
-    if ! build_spec "$b" >/dev/null; then
-        echo "Error: unknown build '$b'" >&2
-        echo "Valid builds: ios-sim ios-device macos visionos visionos-sim tvos-sim tvos-device" >&2
-        exit 1
-    fi
-done
-
 COMMON_C_FLAGS="-Wno-macro-redefined -Wno-shorten-64-to-32 -Wno-unused-command-line-argument -g"
 COMMON_CXX_FLAGS="-Wno-macro-redefined -Wno-shorten-64-to-32 -Wno-unused-command-line-argument -g"
 
@@ -169,14 +129,6 @@ setup_framework_structure() {
     cp tools/mtmd/mtmd.h           ${header_path}
     cp tools/mtmd/mtmd-helper.h    ${header_path}
 
-    if [[ "$GGML_METAL_EMBED_LIBRARY" == "OFF" ]]; then
-        if [[ "$platform" == "macos" ]]; then
-            cp ${build_dir}/bin/*.metallib ${build_dir}/framework/${framework_name}.framework/Versions/A/Resources/
-        else
-            cp ${build_dir}/bin/*.metallib ${build_dir}/framework/${framework_name}.framework/
-        fi
-    fi
-
     # Create module map (common for all platforms)
     cat > ${module_path}module.modulemap << EOF
 framework module llama {
@@ -298,7 +250,6 @@ combine_static_libraries() {
         "${base_dir}/${build_dir}/ggml/src/ggml-metal/${release_dir}/libggml-metal.a"
         "${base_dir}/${build_dir}/ggml/src/ggml-blas/${release_dir}/libggml-blas.a"
         "${base_dir}/${build_dir}/tools/mtmd/${release_dir}/libmtmd.a"
-        "${base_dir}/${build_dir}/vendor/hash/${release_dir}/libvendor-hash.a"
     )
 
     # Create temporary directory for processing
@@ -450,195 +401,148 @@ combine_static_libraries() {
     rm -rf "${temp_dir}"
 }
 
-build_ios_sim() {
-    echo "Building for iOS simulator..."
-    cmake -B build-ios-sim -G Xcode \
-        "${COMMON_CMAKE_ARGS[@]}" \
-        -DCMAKE_OSX_DEPLOYMENT_TARGET=${IOS_MIN_OS_VERSION} \
-        -DIOS=ON \
-        -DCMAKE_SYSTEM_NAME=iOS \
-        -DCMAKE_OSX_SYSROOT=iphonesimulator \
-        -DGGML_METAL_TARGET_OS=ios \
-        -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
-        -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=iphonesimulator \
-        -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-        -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-        -DLLAMA_OPENSSL=OFF \
-        -DMTMD_VIDEO=OFF \
-        -S .
-    cmake --build build-ios-sim --config Release -j "${JOBS_PER_BUILD}" -- -quiet
-}
+echo "Building for iOS simulator..."
+cmake -B build-ios-sim -G Xcode \
+    "${COMMON_CMAKE_ARGS[@]}" \
+    -DCMAKE_OSX_DEPLOYMENT_TARGET=${IOS_MIN_OS_VERSION} \
+    -DIOS=ON \
+    -DCMAKE_SYSTEM_NAME=iOS \
+    -DCMAKE_OSX_SYSROOT=iphonesimulator \
+    -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
+    -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=iphonesimulator \
+    -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
+    -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
+    -DLLAMA_OPENSSL=OFF \
+    -DMTMD_VIDEO=OFF \
+    -S .
+cmake --build build-ios-sim --config Release -j $(sysctl -n hw.logicalcpu) -- -quiet
 
-build_ios_device() {
-    echo "Building for iOS devices..."
-    cmake -B build-ios-device -G Xcode \
-        "${COMMON_CMAKE_ARGS[@]}" \
-        -DCMAKE_OSX_DEPLOYMENT_TARGET=${IOS_MIN_OS_VERSION} \
-        -DCMAKE_SYSTEM_NAME=iOS \
-        -DCMAKE_OSX_SYSROOT=iphoneos \
-        -DGGML_METAL_TARGET_OS=ios \
-        -DCMAKE_OSX_ARCHITECTURES="arm64" \
-        -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=iphoneos \
-        -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-        -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-        -DLLAMA_OPENSSL=OFF \
-        -DMTMD_VIDEO=OFF \
-        -S .
-    cmake --build build-ios-device --config Release -j "${JOBS_PER_BUILD}" -- -quiet
-}
+echo "Building for iOS devices..."
+cmake -B build-ios-device -G Xcode \
+    "${COMMON_CMAKE_ARGS[@]}" \
+    -DCMAKE_OSX_DEPLOYMENT_TARGET=${IOS_MIN_OS_VERSION} \
+    -DCMAKE_SYSTEM_NAME=iOS \
+    -DCMAKE_OSX_SYSROOT=iphoneos \
+    -DCMAKE_OSX_ARCHITECTURES="arm64" \
+    -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=iphoneos \
+    -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
+    -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
+    -DLLAMA_OPENSSL=OFF \
+    -DMTMD_VIDEO=OFF \
+    -S .
+cmake --build build-ios-device --config Release -j $(sysctl -n hw.logicalcpu) -- -quiet
 
-build_macos() {
-    echo "Building for macOS..."
-    cmake -B build-macos -G Xcode \
-        "${COMMON_CMAKE_ARGS[@]}" \
-        -DCMAKE_OSX_DEPLOYMENT_TARGET=${MACOS_MIN_OS_VERSION} \
-        -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
-        -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-        -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-        -DLLAMA_OPENSSL=OFF \
-        -S .
-    cmake --build build-macos --config Release -j "${JOBS_PER_BUILD}" -- -quiet
-}
+echo "Building for macOS..."
+cmake -B build-macos -G Xcode \
+    "${COMMON_CMAKE_ARGS[@]}" \
+    -DCMAKE_OSX_DEPLOYMENT_TARGET=${MACOS_MIN_OS_VERSION} \
+    -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
+    -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
+    -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
+    -DLLAMA_OPENSSL=OFF \
+    -S .
+cmake --build build-macos --config Release -j $(sysctl -n hw.logicalcpu) -- -quiet
 
-build_visionos() {
-    echo "Building for visionOS..."
-    cmake -B build-visionos -G Xcode \
-        "${COMMON_CMAKE_ARGS[@]}" \
-        -DCMAKE_OSX_DEPLOYMENT_TARGET=${VISIONOS_MIN_OS_VERSION} \
-        -DCMAKE_OSX_ARCHITECTURES="arm64" \
-        -DCMAKE_SYSTEM_NAME=visionOS \
-        -DCMAKE_OSX_SYSROOT=xros \
-        -DGGML_METAL_TARGET_OS=xros \
-        -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=xros \
-        -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-        -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-        -DLLAMA_OPENSSL=OFF \
-        -DLLAMA_BUILD_SERVER=OFF \
-        -DMTMD_VIDEO=OFF \
-        -S .
-    cmake --build build-visionos --config Release -j "${JOBS_PER_BUILD}" -- -quiet
-}
+echo "Building for visionOS..."
+cmake -B build-visionos -G Xcode \
+    "${COMMON_CMAKE_ARGS[@]}" \
+    -DCMAKE_OSX_DEPLOYMENT_TARGET=${VISIONOS_MIN_OS_VERSION} \
+    -DCMAKE_OSX_ARCHITECTURES="arm64" \
+    -DCMAKE_SYSTEM_NAME=visionOS \
+    -DCMAKE_OSX_SYSROOT=xros \
+    -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=xros \
+    -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
+    -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
+    -DLLAMA_OPENSSL=OFF \
+    -DLLAMA_BUILD_SERVER=OFF \
+    -DMTMD_VIDEO=OFF \
+    -S .
+cmake --build build-visionos --config Release -j $(sysctl -n hw.logicalcpu) -- -quiet
 
-build_visionos_sim() {
-    echo "Building for visionOS simulator..."
-    cmake -B build-visionos-sim -G Xcode \
-        "${COMMON_CMAKE_ARGS[@]}" \
-        -DCMAKE_OSX_DEPLOYMENT_TARGET=${VISIONOS_MIN_OS_VERSION} \
-        -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
-        -DCMAKE_SYSTEM_NAME=visionOS \
-        -DCMAKE_OSX_SYSROOT=xrsimulator \
-        -DGGML_METAL_TARGET_OS=xros \
-        -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=xrsimulator \
-        -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-        -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-        -DLLAMA_OPENSSL=OFF \
-        -DLLAMA_BUILD_SERVER=OFF \
-        -DMTMD_VIDEO=OFF \
-        -S .
-    cmake --build build-visionos-sim --config Release -j "${JOBS_PER_BUILD}" -- -quiet
-}
+echo "Building for visionOS simulator..."
+cmake -B build-visionos-sim -G Xcode \
+    "${COMMON_CMAKE_ARGS[@]}" \
+    -DCMAKE_OSX_DEPLOYMENT_TARGET=${VISIONOS_MIN_OS_VERSION} \
+    -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
+    -DCMAKE_SYSTEM_NAME=visionOS \
+    -DCMAKE_OSX_SYSROOT=xrsimulator \
+    -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=xrsimulator \
+    -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
+    -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
+    -DLLAMA_OPENSSL=OFF \
+    -DLLAMA_BUILD_SERVER=OFF \
+    -DMTMD_VIDEO=OFF \
+    -S .
+cmake --build build-visionos-sim --config Release -j $(sysctl -n hw.logicalcpu) -- -quiet
 
 # Add tvOS builds (might need the same u_int definitions as watchOS and visionOS)
-build_tvos_sim() {
-    echo "Building for tvOS simulator..."
-    cmake -B build-tvos-sim -G Xcode \
-        "${COMMON_CMAKE_ARGS[@]}" \
-        -DCMAKE_OSX_DEPLOYMENT_TARGET=${TVOS_MIN_OS_VERSION} \
-        -DCMAKE_SYSTEM_NAME=tvOS \
-        -DCMAKE_OSX_SYSROOT=appletvsimulator \
-        -DGGML_METAL_TARGET_OS=tvos \
-        -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
-        -DGGML_METAL=ON \
-        -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=appletvsimulator \
-        -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-        -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-        -DLLAMA_OPENSSL=OFF \
-        -DMTMD_VIDEO=OFF \
-        -S .
-    cmake --build build-tvos-sim --config Release -j "${JOBS_PER_BUILD}" -- -quiet
-}
+echo "Building for tvOS simulator..."
+cmake -B build-tvos-sim -G Xcode \
+    "${COMMON_CMAKE_ARGS[@]}" \
+    -DCMAKE_OSX_DEPLOYMENT_TARGET=${TVOS_MIN_OS_VERSION} \
+    -DCMAKE_SYSTEM_NAME=tvOS \
+    -DCMAKE_OSX_SYSROOT=appletvsimulator \
+    -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
+    -DGGML_METAL=ON \
+    -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=appletvsimulator \
+    -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
+    -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
+    -DLLAMA_OPENSSL=OFF \
+    -DMTMD_VIDEO=OFF \
+    -S .
+cmake --build build-tvos-sim --config Release -j $(sysctl -n hw.logicalcpu) -- -quiet
 
-build_tvos_device() {
-    echo "Building for tvOS devices..."
-    cmake -B build-tvos-device -G Xcode \
-        "${COMMON_CMAKE_ARGS[@]}" \
-        -DCMAKE_OSX_DEPLOYMENT_TARGET=${TVOS_MIN_OS_VERSION} \
-        -DCMAKE_SYSTEM_NAME=tvOS \
-        -DCMAKE_OSX_SYSROOT=appletvos \
-        -DGGML_METAL_TARGET_OS=tvos \
-        -DCMAKE_OSX_ARCHITECTURES="arm64" \
-        -DGGML_METAL=ON \
-        -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=appletvos \
-        -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-        -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-        -DLLAMA_OPENSSL=OFF \
-        -DMTMD_VIDEO=OFF \
-        -S .
-    cmake --build build-tvos-device --config Release -j "${JOBS_PER_BUILD}" -- -quiet
-}
-
-run_builds_parallel() {
-    local -a pids=()
-    local -a names=()
-    local name i
-    for name in "$@"; do
-        # Wait for the oldest running build to free a slot
-        if [[ "${#pids[@]}" -ge "$MAX_PARALLEL_BUILDS" ]]; then
-            if ! wait "${pids[0]}"; then
-                echo "ERROR: build '${names[0]}' failed, log follows (${names[0]}.log):" >&2
-                kill "${pids[@]}" 2>/dev/null || true
-                cat "${names[0]}.log" >&2
-                exit 1
-            fi
-            pids=("${pids[@]:1}")
-            names=("${names[@]:1}")
-        fi
-        echo "Starting build: $name (log: ${name}.log, -j ${JOBS_PER_BUILD})"
-        "$name" > "${name}.log" 2>&1 &
-        pids+=("$!")
-        names+=("$name")
-    done
-    # Wait for the remaining builds
-    for i in "${!pids[@]}"; do
-        if ! wait "${pids[$i]}"; then
-            echo "ERROR: build '${names[$i]}' failed, log follows (${names[$i]}.log):" >&2
-            kill "${pids[@]}" 2>/dev/null || true
-            cat "${names[$i]}.log" >&2
-            exit 1
-        fi
-    done
-}
-
-BUILD_FNS=()
-for b in "${BUILDS[@]}"; do
-    read -r fn _ < <(build_spec "$b")
-    BUILD_FNS+=("$fn")
-done
-echo "Building: ${BUILDS[*]} (max ${MAX_PARALLEL_BUILDS} at a time, -j ${JOBS_PER_BUILD} each)..."
-run_builds_parallel "${BUILD_FNS[@]}"
+echo "Building for tvOS devices..."
+cmake -B build-tvos-device -G Xcode \
+    "${COMMON_CMAKE_ARGS[@]}" \
+    -DCMAKE_OSX_DEPLOYMENT_TARGET=${TVOS_MIN_OS_VERSION} \
+    -DCMAKE_SYSTEM_NAME=tvOS \
+    -DCMAKE_OSX_SYSROOT=appletvos \
+    -DCMAKE_OSX_ARCHITECTURES="arm64" \
+    -DGGML_METAL=ON \
+    -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=appletvos \
+    -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
+    -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
+    -DLLAMA_OPENSSL=OFF \
+    -DMTMD_VIDEO=OFF \
+    -S .
+cmake --build build-tvos-device --config Release -j $(sysctl -n hw.logicalcpu) -- -quiet
 
 # Setup frameworks and copy binaries and headers
 echo "Setting up framework structures..."
-for b in "${BUILDS[@]}"; do
-    read -r _ bdir _ platform _ min_os < <(build_spec "$b")
-    setup_framework_structure "$bdir" "$min_os" "$platform"
-done
+setup_framework_structure "build-ios-sim" ${IOS_MIN_OS_VERSION} "ios"
+setup_framework_structure "build-ios-device" ${IOS_MIN_OS_VERSION} "ios"
+setup_framework_structure "build-macos" ${MACOS_MIN_OS_VERSION} "macos"
+setup_framework_structure "build-visionos" ${VISIONOS_MIN_OS_VERSION} "visionos"
+setup_framework_structure "build-visionos-sim" ${VISIONOS_MIN_OS_VERSION} "visionos"
+setup_framework_structure "build-tvos-sim" ${TVOS_MIN_OS_VERSION} "tvos"
+setup_framework_structure "build-tvos-device" ${TVOS_MIN_OS_VERSION} "tvos"
 
 # Create dynamic libraries from static libraries
 echo "Creating dynamic libraries from static libraries..."
-for b in "${BUILDS[@]}"; do
-    read -r _ bdir rdir platform is_sim _ < <(build_spec "$b")
-    combine_static_libraries "$bdir" "$rdir" "$platform" "$is_sim"
-done
+combine_static_libraries "build-ios-sim" "Release-iphonesimulator" "ios" "true"
+combine_static_libraries "build-ios-device" "Release-iphoneos" "ios" "false"
+combine_static_libraries "build-macos" "Release" "macos" "false"
+combine_static_libraries "build-visionos" "Release-xros" "visionos" "false"
+combine_static_libraries "build-visionos-sim" "Release-xrsimulator" "visionos" "true"
+combine_static_libraries "build-tvos-sim" "Release-appletvsimulator" "tvos" "true"
+combine_static_libraries "build-tvos-device" "Release-appletvos" "tvos" "false"
 
 # Create XCFramework with correct debug symbols paths
 echo "Creating XCFramework..."
-XCFW_ARGS=()
-for b in "${BUILDS[@]}"; do
-    read -r _ bdir _ _ _ _ < <(build_spec "$b")
-    XCFW_ARGS+=(-framework "$(pwd)/${bdir}/framework/llama.framework")
-    XCFW_ARGS+=(-debug-symbols "$(pwd)/${bdir}/dSYMs/llama.dSYM")
-done
 xcrun xcodebuild -create-xcframework \
-    "${XCFW_ARGS[@]}" \
-    -output "$(pwd)/build-apple/llama.xcframework"
+    -framework $(pwd)/build-ios-sim/framework/llama.framework \
+    -debug-symbols $(pwd)/build-ios-sim/dSYMs/llama.dSYM \
+    -framework $(pwd)/build-ios-device/framework/llama.framework \
+    -debug-symbols $(pwd)/build-ios-device/dSYMs/llama.dSYM \
+    -framework $(pwd)/build-macos/framework/llama.framework \
+    -debug-symbols $(pwd)/build-macos/dSYMs/llama.dSYM \
+    -framework $(pwd)/build-visionos/framework/llama.framework \
+    -debug-symbols $(pwd)/build-visionos/dSYMs/llama.dSYM \
+    -framework $(pwd)/build-visionos-sim/framework/llama.framework \
+    -debug-symbols $(pwd)/build-visionos-sim/dSYMs/llama.dSYM \
+    -framework $(pwd)/build-tvos-device/framework/llama.framework \
+    -debug-symbols $(pwd)/build-tvos-device/dSYMs/llama.dSYM \
+    -framework $(pwd)/build-tvos-sim/framework/llama.framework \
+    -debug-symbols $(pwd)/build-tvos-sim/dSYMs/llama.dSYM \
+    -output $(pwd)/build-apple/llama.xcframework

ci/README-MUSA.md

@@ -21,13 +21,13 @@ docker run --privileged -it \
     -v $HOME/llama.cpp/ci-cache:/ci-cache \
     -v $HOME/llama.cpp/ci-results:/ci-results \
     -v $PWD:/ws -w /ws \
-    registry.mthreads.com/mcconline/musa_sdk:5.2.0-devel-ubuntu22.04-s5000
+    mthreads/musa:rc4.3.0-devel-ubuntu22.04-amd64
 ```
 
 Inside the container, execute the following commands:
 
 ```bash
-apt update -y && apt install -y bc cmake ccache git python3.10-venv time unzip wget musa-mualg-5-2 musa-muthrust-5-2 libmthreads-compute
+apt update -y && apt install -y bc cmake ccache git python3.10-venv time unzip wget
 git config --global --add safe.directory /ws
 GG_BUILD_MUSA=1 bash ./ci/run.sh /ci-results /ci-cache
 ```

ci/run.sh

@@ -49,7 +49,17 @@ mkdir -p "$2"
 OUT=$(realpath "$1")
 MNT=$(realpath "$2")
 
+# gpu-rocm self-hosted runner can't upload logs to blob; keep each run's logs in
+# their own dir keyed by the GitHub run id so an Actions run URL maps to its logs.
+if [ -n "${GG_BUILD_ROCM}" ] && [ -n "${GITHUB_RUN_ID}" ]; then
+    OUT="$OUT/run-${GITHUB_RUN_ID}-${GITHUB_RUN_ATTEMPT:-1}"
+    mkdir -p "$OUT"
+    echo "ci results dir: $OUT"
+fi
+
 rm -f $OUT/*.log
+rm -f $OUT/*.exit
+rm -f $OUT/*.md
 
 sd=`dirname $0`
 cd $sd/../
@@ -72,8 +82,8 @@ else
 fi
 
 if [ ! -z ${GG_BUILD_CUDA} ]; then
-    # TODO: Drop GGML_CUDA_CCCL_VERSION when CUDA CI uses CTK >= 13.5, which bundles CCCL >= 3.5.
-    CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_CUDA=ON -DGGML_CUDA_CCCL_VERSION=v3.4.3"
+    # TODO: Remove GGML_CUDA_CUB_3DOT2 flag once CCCL 3.2 is bundled within CTK and that CTK version is used in this project
+    CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_CUDA=ON -DGGML_CUDA_CUB_3DOT2=ON"
 
     if command -v nvidia-smi >/dev/null 2>&1; then
         CUDA_ARCH=$(nvidia-smi --query-gpu=compute_cap --format=csv,noheader,nounits 2>/dev/null | head -1 | tr -d '.')
@@ -150,8 +160,8 @@ if [ ! -z ${GG_BUILD_WEBGPU} ]; then
 fi
 
 if [ ! -z ${GG_BUILD_MUSA} ]; then
-    # Use ph1 by default (MTT S5000)
-    MUSA_ARCH=${MUSA_ARCH:-31}
+    # Use qy1 by default (MTT S80)
+    MUSA_ARCH=${MUSA_ARCH:-21}
     CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_MUSA=ON -DMUSA_ARCHITECTURES=${MUSA_ARCH}"
 fi
 
@@ -179,8 +189,8 @@ if [ ! -z ${GG_BUILD_OPENVINO} ]; then
     fi
     CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_OPENVINO=ON"
 
-    # TODO: fix failing tests on OpenVINO backend
-    CTEST_EXTRA="-E test-llama-archs|^test-recurrent-state-|test-save-load-state"
+    # TODO: fix and re-enable the `test-llama-archs` test below
+    CTEST_EXTRA="-E test-llama-archs"
 fi
 
 ## helpers
@@ -201,6 +211,10 @@ function gg_wget {
     cd $cwd
 }
 
+function gg_printf {
+    printf -- "$@" >> $OUT/README.md
+}
+
 function gg_run {
     ci=$1
 
@@ -209,10 +223,13 @@ function gg_run {
 
     gg_run_$ci | tee $OUT/$ci.log
     cur=$?
+    echo "$cur" > $OUT/$ci.exit
 
     set +x
     set +o pipefail
 
+    gg_sum_$ci
+
     ret=$((ret | cur))
 }
 
@@ -233,11 +250,22 @@ function gg_run_ctest_debug {
     (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 ctest -C Debug --output-on-failure -L main -E "test-opt|test-llama-archs" ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.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
 
     set +e
 }
 
+function gg_sum_ctest_debug {
+    gg_printf '### %s\n\n' "${ci}"
+
+    gg_printf 'Runs ctest in debug mode\n'
+    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
+    gg_printf '```\n'
+    gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)"
+    gg_printf '```\n'
+    gg_printf '\n'
+}
+
 # ctest_release
 
 function gg_run_ctest_release {
@@ -262,47 +290,14 @@ function gg_run_ctest_release {
     set +e
 }
 
-# test_llama_archs_tensor_split
+function gg_sum_ctest_release {
+    gg_printf '### %s\n\n' "${ci}"
 
-function gg_run_test_llama_archs_tensor_split {
-    cd ${SRC}
-
-    set -e
-
-    if [ ! -z ${GG_BUILD_CUDA} ]; then
-        GGML_CUDA_DEVICES=1 ./build-ci-release/bin/test-llama-archs -s 1 2>&1
-        GGML_CUDA_DEVICES=2 ./build-ci-release/bin/test-llama-archs -s 1 2>&1
-        GGML_CUDA_DEVICES=3 ./build-ci-release/bin/test-llama-archs -s 1 2>&1
-        GGML_CUDA_DEVICES=4 ./build-ci-release/bin/test-llama-archs -s 1 2>&1
-    fi
-
-    if [ ! -z ${GG_BUILD_METAL} ]; then
-        GGML_METAL_DEVICES=1 ./build-ci-release/bin/test-llama-archs -s 1 2>&1
-        GGML_METAL_DEVICES=2 ./build-ci-release/bin/test-llama-archs -s 1 2>&1
-        GGML_METAL_DEVICES=3 ./build-ci-release/bin/test-llama-archs -s 1 2>&1
-        GGML_METAL_DEVICES=4 ./build-ci-release/bin/test-llama-archs -s 1 2>&1
-    fi
-
-    set +e
-}
-
-# test_llama_archs_models
-
-function gg_run_test_llama_archs_models {
-    cd ${SRC}
-
-    set -e
-
-    # TODO: fix and re-enable `test-llama-archs` on OpenVINO
-    # TODO: the `test-llama-archs` currently does not build on Windows, so we check if the binary exists
-    if [ -z ${GG_BUILD_OPENVINO} ] && [ -f ./build-ci-release/bin/test-llama-archs ]; then
-        rm -rf build-ci-models && mkdir -p build-ci-models
-
-        # generate the dummy models used by the model-dependent tests
-        ./build-ci-release/bin/test-llama-archs -o build-ci-models 2>&1
-    fi
-
-    set +e
+    gg_printf 'Runs ctest in release mode\n'
+    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
+    gg_printf '```\n'
+    gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)"
+    gg_printf '```\n'
 }
 
 # test_scripts
@@ -318,6 +313,17 @@ function gg_run_test_scripts {
     set +e
 }
 
+function gg_sum_test_scripts {
+    gg_printf '### %s\n\n' "${ci}"
+
+    gg_printf 'Runs test scripts\n'
+    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
+    gg_printf '```\n'
+    gg_printf '%s\n' "$(cat $OUT/${ci}-scripts.log)"
+    gg_printf '```\n'
+    gg_printf '\n'
+}
+
 function gg_get_model {
     #local gguf_0="$MNT/models/qwen3/0.6B/ggml-model-f16.gguf"
     local gguf_0="$MNT/models/qwen3/0.6B/ggml-model-q4_0.gguf"
@@ -361,6 +367,26 @@ function gg_run_ctest_with_model_release {
     cd ..
 }
 
+function gg_sum_ctest_with_model_debug {
+    gg_printf '### %s\n\n' "${ci}"
+
+    gg_printf 'Runs ctest with model files in debug mode\n'
+    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
+    gg_printf '```\n'
+    gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)"
+    gg_printf '```\n'
+}
+
+function gg_sum_ctest_with_model_release {
+    gg_printf '### %s\n\n' "${ci}"
+
+    gg_printf 'Runs ctest with model files in release mode\n'
+    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
+    gg_printf '```\n'
+    gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)"
+    gg_printf '```\n'
+}
+
 # qwen3_0_6b
 
 function gg_run_qwen3_0_6b {
@@ -465,24 +491,50 @@ function gg_run_qwen3_0_6b {
         return 0
     }
 
-    check_ppl "f16"  "$(cat $OUT/${ci}-tg-f16.log  | grep "^\[1\]")"
+    check_ppl "f16"  "$(cat $OUT/${ci}-tg-f16.log  | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
     if [ -z ${GG_BUILD_NO_BF16} ]; then
-        check_ppl "bf16" "$(cat $OUT/${ci}-tg-bf16.log | grep "^\[1\]")"
+        check_ppl "bf16" "$(cat $OUT/${ci}-tg-bf16.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
     fi
-    check_ppl "q8_0" "$(cat $OUT/${ci}-tg-q8_0.log | grep "^\[1\]")"
-    check_ppl "q4_0" "$(cat $OUT/${ci}-tg-q4_0.log | grep "^\[1\]")"
-    check_ppl "q4_1" "$(cat $OUT/${ci}-tg-q4_1.log | grep "^\[1\]")"
-    check_ppl "q5_0" "$(cat $OUT/${ci}-tg-q5_0.log | grep "^\[1\]")"
-    check_ppl "q5_1" "$(cat $OUT/${ci}-tg-q5_1.log | grep "^\[1\]")"
-   #check_ppl "q2_k" "$(cat $OUT/${ci}-tg-q2_k.log | grep "^\[1\]")" # note: ppl > 20.0 for this quant and model
-    check_ppl "q3_k" "$(cat $OUT/${ci}-tg-q3_k.log | grep "^\[1\]")"
-    check_ppl "q4_k" "$(cat $OUT/${ci}-tg-q4_k.log | grep "^\[1\]")"
-    check_ppl "q5_k" "$(cat $OUT/${ci}-tg-q5_k.log | grep "^\[1\]")"
-    check_ppl "q6_k" "$(cat $OUT/${ci}-tg-q6_k.log | grep "^\[1\]")"
+    check_ppl "q8_0" "$(cat $OUT/${ci}-tg-q8_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q4_0" "$(cat $OUT/${ci}-tg-q4_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q4_1" "$(cat $OUT/${ci}-tg-q4_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q5_0" "$(cat $OUT/${ci}-tg-q5_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q5_1" "$(cat $OUT/${ci}-tg-q5_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+   #check_ppl "q2_k" "$(cat $OUT/${ci}-tg-q2_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log # note: ppl > 20.0 for this quant and model
+    check_ppl "q3_k" "$(cat $OUT/${ci}-tg-q3_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q4_k" "$(cat $OUT/${ci}-tg-q4_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q5_k" "$(cat $OUT/${ci}-tg-q5_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q6_k" "$(cat $OUT/${ci}-tg-q6_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+
+    cat $OUT/${ci}-imatrix.log | grep "Final" >> $OUT/${ci}-imatrix-sum.log
 
     set +e
 }
 
+function gg_sum_qwen3_0_6b {
+    gg_printf '### %s\n\n' "${ci}"
+
+    gg_printf 'Qwen3 0.6B:\n'
+    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
+    gg_printf '- perplexity:\n%s\n' "$(cat $OUT/${ci}-ppl.log)"
+    gg_printf '- imatrix:\n```\n%s\n```\n' "$(cat $OUT/${ci}-imatrix-sum.log)"
+    gg_printf '- f16:\n```\n%s\n```\n'  "$(cat $OUT/${ci}-tg-f16.log)"
+    if [ -z ${GG_BUILD_NO_BF16} ]; then
+        gg_printf '- bf16:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-bf16.log)"
+    fi
+    gg_printf '- q8_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q8_0.log)"
+    gg_printf '- q4_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_0.log)"
+    gg_printf '- q4_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_1.log)"
+    gg_printf '- q5_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_0.log)"
+    gg_printf '- q5_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_1.log)"
+    gg_printf '- q2_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q2_k.log)"
+    gg_printf '- q3_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q3_k.log)"
+    gg_printf '- q4_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_k.log)"
+    gg_printf '- q5_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_k.log)"
+    gg_printf '- q6_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q6_k.log)"
+    gg_printf '- save-load-state: \n```\n%s\n```\n' "$(cat $OUT/${ci}-save-load-state.log)"
+}
+
 # bge-small
 
 function gg_run_embd_bge_small {
@@ -524,6 +576,15 @@ function gg_run_embd_bge_small {
     set +e
 }
 
+function gg_sum_embd_bge_small {
+    gg_printf '### %s\n\n' "${ci}"
+
+    gg_printf 'BGE Small (BERT):\n'
+    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
+    gg_printf '- f16: \n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-f16.log)"
+    gg_printf '- q8_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q8_0.log)"
+}
+
 # rerank_tiny
 
 function gg_run_rerank_tiny {
@@ -580,96 +641,88 @@ function gg_run_rerank_tiny {
     set +e
 }
 
+function gg_sum_rerank_tiny {
+    gg_printf '### %s\n\n' "${ci}"
+
+    gg_printf 'Rerank Tiny (Jina):\n'
+    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
+    gg_printf '- f16: \n```\n%s\n```\n' "$(cat $OUT/${ci}-rk-f16.log)"
+}
+
 function gg_check_build_requirements {
     if ! command -v git &> /dev/null; then
-        echo 'git not found, please install'
+        gg_printf 'git not found, please install\n'
         exit 1
     fi
 
     if ! command -v git-lfs &> /dev/null; then
-        echo 'git-lfs not found, please install'
+        gg_printf 'git-lfs not found, please install\n'
         exit 1
     fi
 
     if ! git config --get filter.lfs.clean &> /dev/null; then
-        echo 'git-lfs not initialized, please run `git lfs install`'
+        gg_printf 'git-lfs not initialized, please run `git lfs install`\n'
         exit 1
     fi
 
     if ! command -v wget &> /dev/null; then
-        echo 'wget not found, please install'
+        gg_printf 'wget not found, please install\n'
         exit 1
     fi
 
     if ! command -v python3 &> /dev/null; then
-        echo 'python3 not found, please install'
+        gg_printf 'python3 not found, please install\n'
         exit 1
     fi
 
     if ! command -v pip3 &> /dev/null; then
-        echo 'pip3 not found, please install'
+        gg_printf 'pip3 not found, please install\n'
         exit 1
     fi
 
     if ! python3 -m ensurepip --help &> /dev/null; then
-        echo 'ensurepip not found, please install python3-venv package'
+        gg_printf 'ensurepip not found, please install python3-venv package\n'
         exit 1
     fi
 
     if ! command -v cmake &> /dev/null; then
-        echo 'cmake not found, please install'
+        gg_printf 'cmake not found, please install\n'
         exit 1
     fi
 
     if ! command -v ccache &> /dev/null; then
-        echo 'ccache not found, please consider installing for faster builds'
+        gg_printf 'ccache not found, please consider installing for faster builds\n'
     fi
 
     if ! command -v ctest &> /dev/null; then
-        echo 'ctest not found, please install'
-        exit 1
-    fi
-
-    if ! command -v unzip &> /dev/null; then
-        echo 'unzip not found, please install'
+        gg_printf 'ctest not found, please install\n'
         exit 1
     fi
 }
 
-function gg_run_test_backend_ops {
+function gg_run_test_backend_ops_cpu {
     cd ${SRC}
 
     cd build-ci-release
 
     set -e
 
-    local n_jobs=$(nproc)
-    if [ "${n_jobs}" -gt 2 ]; then
-        n_jobs=2
-    fi
-    local args_extra="-j ${n_jobs}"
-
-    # TODO: MoltenVK bug?
-    #       https://github.com/ggml-org/llama.cpp/actions/runs/34611260059/job/103302413736?pr=28740#step:3:5897
-    if [ ! -z "${GG_BUILD_VULKAN}" ] && [ "$(uname -s)" = "Darwin" ]; then
-        args_extra=""
-    fi
-
-    # TODO: OpenVINO GPU plugin crashes (CL_OUT_OF_RESOURCES) with 2 concurrent workers on GPU.
-    if [ ! -z "${GG_BUILD_OPENVINO}" ] && [ "${GGML_OPENVINO_DEVICE:-}" = "GPU" ]; then
-        args_extra=""
-    fi
-
-    # TODO: reduce the test-backend-ops timeout to 1800s
-    if [ ! -z ${GG_BUILD_HIGH_PERF} ]; then
-        (time timeout 3600 ./bin/test-backend-ops ${args_extra} -b CPU) 2>&1 | tee -a $OUT/${ci}-test-backend-ops.log
-    else
-        (time timeout 3600 ./bin/test-backend-ops ${args_extra}       ) 2>&1 | tee -a $OUT/${ci}-test-backend-ops.log
-    fi
+    (time ./bin/test-backend-ops -b CPU ) 2>&1 | tee -a $OUT/${ci}-test-backend-ops-cpu.log
 
     set +e
 }
 
+function gg_sum_test_backend_ops_cpu {
+    gg_printf '### %s\n\n' "${ci}"
+
+    gg_printf 'Runs test-backend-ops for CPU backend\n'
+    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
+    gg_printf '```\n'
+    gg_printf '%s\n' "$(cat $OUT/${ci}-test-backend-ops-cpu.log)"
+    gg_printf '```\n'
+    gg_printf '\n'
+}
+
 ## main
 
 export LLAMA_ARG_LOG_PREFIX=1
@@ -698,10 +751,9 @@ ret=0
 test $ret -eq 0 && gg_run ctest_debug
 test $ret -eq 0 && gg_run ctest_release
 
-test $ret -eq 0 && gg_run test_backend_ops
-
-test $ret -eq 0 && gg_run test_llama_archs_models
-test $ret -eq 0 && gg_run test_llama_archs_tensor_split
+if [ ! -z ${GG_BUILD_HIGH_PERF} ]; then
+    test $ret -eq 0 && gg_run test_backend_ops_cpu
+fi
 
 if [ -z ${GG_BUILD_LOW_PERF} ]; then
     test $ret -eq 0 && gg_run embd_bge_small
@@ -717,4 +769,6 @@ if [ -z ${GG_BUILD_LOW_PERF} ]; then
     test $ret -eq 0 && gg_run ctest_with_model_release
 fi
 
+cat $OUT/README.md
+
 exit $ret

cmake/arm64-windows-llvm.cmake

@@ -8,7 +8,6 @@ set( CMAKE_CXX_COMPILER  clang++ )
 
 set( CMAKE_C_COMPILER_TARGET   ${target} )
 set( CMAKE_CXX_COMPILER_TARGET ${target} )
-set( CMAKE_ASM_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" )

cmake/llama-config.cmake.in

@@ -17,16 +17,14 @@ find_library(llama_LIBRARY llama
     NO_CMAKE_FIND_ROOT_PATH
 )
 
-if(NOT TARGET llama)
-    add_library(llama UNKNOWN IMPORTED)
-    set_target_properties(llama
-        PROPERTIES
-            INTERFACE_INCLUDE_DIRECTORIES "${LLAMA_INCLUDE_DIR}"
-            INTERFACE_LINK_LIBRARIES "ggml::ggml;ggml::ggml-base;"
-            IMPORTED_LINK_INTERFACE_LANGUAGES "CXX"
-            IMPORTED_LOCATION "${llama_LIBRARY}"
-            INTERFACE_COMPILE_FEATURES c_std_90
-            POSITION_INDEPENDENT_CODE ON)
-endif()
+add_library(llama UNKNOWN IMPORTED)
+set_target_properties(llama
+    PROPERTIES
+        INTERFACE_INCLUDE_DIRECTORIES "${LLAMA_INCLUDE_DIR}"
+        INTERFACE_LINK_LIBRARIES "ggml::ggml;ggml::ggml-base;"
+        IMPORTED_LINK_INTERFACE_LANGUAGES "CXX"
+        IMPORTED_LOCATION "${llama_LIBRARY}"
+        INTERFACE_COMPILE_FEATURES c_std_90
+        POSITION_INDEPENDENT_CODE ON)
 
 check_required_components(Llama)

common/CMakeLists.txt

@@ -53,10 +53,7 @@ endif()
 
 set(TARGET llama-common)
 
-include(parsers/sources.cmake)
-
 add_library(${TARGET}
-    ${LLAMA_CHAT_PARSERS_SOURCES}
     arg.cpp
     arg.h
     base64.hpp
@@ -84,10 +81,6 @@ add_library(${TARGET}
     imatrix-loader.cpp
     imatrix-loader.h
     json-schema-to-grammar.cpp
-    json-schema.cpp
-    json-schema.h
-    json.cpp
-    json.h
     llguidance.cpp
     log.cpp
     log.h
@@ -133,8 +126,7 @@ set_target_properties(${TARGET} PROPERTIES
     MACHO_CURRENT_VERSION 0 # keep macOS linker from seeing oversized version number
 )
 
-target_include_directories(${TARGET} PUBLIC .)
-target_link_libraries     (${TARGET} PUBLIC vendor::nlohmann vendor::sheredom)
+target_include_directories(${TARGET} PUBLIC . ../vendor)
 target_compile_features   (${TARGET} PUBLIC cxx_std_17)
 
 if (LLAMA_SUBPROCESS)

common/arg.cpp

@@ -5,7 +5,6 @@
 #include "common.h"
 #include "download.h"
 #include "json-schema-to-grammar.h"
-#include "json.h"
 #include "llama.h"
 #include "log.h"
 #include "sampling.h"
@@ -22,6 +21,9 @@
 #include <shellapi.h>
 #endif
 
+#define JSON_ASSERT GGML_ASSERT
+#include <nlohmann/json.hpp>
+
 #include <algorithm>
 #include <cinttypes>
 #include <climits>
@@ -30,7 +32,6 @@
 #include <filesystem>
 #include <fstream>
 #include <list>
-#include <numeric>
 #include <regex>
 #include <set>
 #include <string>
@@ -54,7 +55,7 @@
 
 #define LLAMA_MAX_URL_LENGTH 2084 // Maximum URL Length in Chrome: 2083
 
-using json = common_json;
+using json = nlohmann::ordered_json;
 using namespace common_arg_utils;
 
 static std::initializer_list<enum llama_example> mmproj_examples = {
@@ -351,7 +352,7 @@ static bool parse_bool_value(const std::string & value) {
 static std::string get_default_local_path(const std::string & url) {
     auto f = string_split<std::string>(url, '#').front();
     f = string_split<std::string>(f, '?').front();
-    return fs_path_to_utf8(fs_get_cache_file(string_split<std::string>(f, '/').back()));
+    return fs_get_cache_file(string_split<std::string>(f, '/').back());
 }
 
 static bool spec_types_is_default(const common_params & params) {
@@ -387,9 +388,6 @@ common_models_handler common_models_handler_init(const common_params & params, l
             break;
         }
     }
-    if (curr_ex == LLAMA_EXAMPLE_DOWNLOAD) {
-        use_mmproj = true;
-    }
 
     opts.bearer_token    = params.hf_token;
     opts.offline         = params.offline;
@@ -682,10 +680,7 @@ void common_models_handler_apply(common_models_handler & handler, common_params
             // if HF repo is a preset repo, we simply run server in router mode with the preset.ini file
             params.models_preset_hf = params.model.hf_repo; // only for showing a warning
             params.models_preset    = hf_cache::finalize_file(plan.preset);
-            // clear the model so the server starts in router mode
-            params.model.path.clear();
-            params.model.hf_repo.clear();
-            params.model.docker_repo.clear();
+            params.model = common_params_model{}; // make sure to clear model, so server starts in router mode
         });
     }
 
@@ -723,24 +718,24 @@ void common_models_handler_apply(common_models_handler & handler, common_params
 // 1. system-wide: /etc/llama.cpp/config.ini (%PROGRAMDATA%\llama.cpp\config.ini on windows)
 // 2. user-level: ${XDG_CONFIG_HOME:-~/.config}/llama.cpp/config.ini (%APPDATA%\llama.cpp\config.ini on windows)
 static void common_params_apply_system_config(common_params & params, llama_example ex) {
-    std::vector<std::filesystem::path> paths;
+    std::vector<std::string> paths;
 
 #if defined(_WIN32)
-    const std::filesystem::path program_data = common_get_path_from_env("PROGRAMDATA");
+    const std::string program_data = common_get_env("PROGRAMDATA");
     if (!program_data.empty()) {
-        paths.push_back(program_data / "llama.cpp" / "config.ini");
+        paths.push_back(program_data + "\\llama.cpp\\config.ini");
     }
 #else
     paths.push_back("/etc/llama.cpp/config.ini");
 #endif
 
     try {
-        paths.push_back(fs_get_config_directory() / "config.ini");
+        paths.push_back(fs_get_config_directory() + "config.ini");
     } catch (const std::exception & e) {
         LOG_DBG("cannot read user-level config file, skipping: %s\n", e.what());
     }
 
-    std::vector<std::filesystem::path> found;
+    std::vector<std::string> found;
     for (const auto & path : paths) {
         std::error_code ec;
         if (std::filesystem::exists(path, ec)) {
@@ -754,7 +749,7 @@ static void common_params_apply_system_config(common_params & params, llama_exam
     common_preset_context ctx(ex);
     ctx.ignore_unknown_keys = true; // the same config file is shared by all programs
     for (const auto & path : found) {
-        LOG_INF("using config file: %s\n", fs_path_to_utf8(path).c_str());
+        LOG_INF("using config file: %s\n", path.c_str());
         common_preset global;
         common_presets presets = ctx.load_from_ini(path, global);
         global.apply_to_params(params);
@@ -878,6 +873,17 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
                     arg.c_str(), e.what(), opt.to_string().c_str()));
             }
         }
+
+        // TODO: remove this check after deprecating --mmap|mlock|dio
+        auto has_arg = [&](std::initializer_list<const char *> names) {
+            return std::any_of(names.begin(), names.end(), [&](const char * name) {
+                return seen_args.count(name);
+            });
+        };
+        if (has_arg({"-lm", "--load-mode"}) &&
+            has_arg({"--mlock", "--mmap", "--no-mmap", "-dio", "--direct-io", "-ndio", "--no-direct-io"})) {
+            LOG_WRN("DEPRECATED: `--load-mode` and `--mlock`/`--mmap`/`--direct-io` should not be combined; only the last flag on the command line will take effect\n");
+        }
     };
 
     // parse all CLI args now, so that -hf is available below for remote preset resolution
@@ -889,12 +895,6 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
     postprocess_cpu_params(params.speculative.draft.cpuparams,       &params.cpuparams);
     postprocess_cpu_params(params.speculative.draft.cpuparams_batch, &params.cpuparams_batch);
 
-    // default the mmproj device to the global device selection if not set explicitly with -mmdev
-    if (params.mmproj_use_gpu && params.mmproj_device == nullptr && !params.devices.empty()) {
-        params.mmproj_device = params.devices.front();
-        params.mmproj_use_gpu = params.mmproj_device != nullptr;
-    }
-
     if (params.prompt_cache_all && (params.interactive || params.interactive_first)) {
         throw std::invalid_argument("error: --prompt-cache-all not supported in interactive mode yet\n");
     }
@@ -961,11 +961,6 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
         ));
     }
 
-    // if the preserve_reasoning kwarg was not specified explicitly, enable it by default
-    if (!params.default_template_kwargs.count("preserve_reasoning")) {
-        params.default_template_kwargs["preserve_reasoning"] = "true";
-    }
-
     return true;
 }
 
@@ -1649,14 +1644,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             }
         }
     ).set_env("LLAMA_ARG_CTX_SIZE"));
-    add_opt(common_arg(
-        { "--kv-unified-per-slot" }, "N",
-        "context limit per parallel slot (default: unset, behavior unchanged).\n"
-        "when set without -c/--ctx-size, the shared KV pool is sized to n_parallel*N",
-        [](common_params & params, int value) {
-            params.kv_unified_per_slot = value;
-        }
-    ).set_env("LLAMA_ARG_KV_UNIFIED_PER_SLOT").set_examples({ LLAMA_EXAMPLE_SERVER }));
     add_opt(common_arg(
         {"-n", "--predict", "--n-predict"}, "N",
         string_format(
@@ -1911,7 +1898,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         [](common_params & params, bool value) {
             params.conversation_mode = value ? COMMON_CONVERSATION_MODE_ENABLED : COMMON_CONVERSATION_MODE_DISABLED;
         }
-    ).set_examples({LLAMA_EXAMPLE_COMPLETION}));
+    ).set_examples({LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
         {"-st", "--single-turn"},
         "run conversation for a single turn only, then exit when done\n"
@@ -2022,7 +2009,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.temp = std::max(params.sampling.temp, 0.0f);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_TEMP;
         }
-    ).set_sampling().set_env("LLAMA_ARG_TEMPERATURE"));
+    ).set_sampling());
     add_opt(common_arg(
         {"--top-k"}, "N",
         string_format("top-k sampling (default: %d, 0 = disabled)", params.sampling.top_k),
@@ -2038,7 +2025,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.top_p = std::stof(value);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_TOP_P;
         }
-    ).set_sampling().set_env("LLAMA_ARG_TOP_P"));
+    ).set_sampling());
     add_opt(common_arg(
         {"--min-p"}, "N",
         string_format("min-p sampling (default: %.2f, 0.0 = disabled)", (double)params.sampling.min_p),
@@ -2046,7 +2033,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.min_p = std::stof(value);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_MIN_P;
         }
-    ).set_sampling().set_env("LLAMA_ARG_MIN_P"));
+    ).set_sampling());
     add_opt(common_arg(
         {"--top-nsigma", "--top-n-sigma"}, "N",
         string_format("top-n-sigma sampling (default: %.2f, -1.0 = disabled)", params.sampling.top_n_sigma),
@@ -2102,7 +2089,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.penalty_repeat = penalty_repeat;
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_PENALTY_REPEAT;
         }
-    ).set_sampling().set_env("LLAMA_ARG_REPEAT_PENALTY"));
+    ).set_sampling());
     add_opt(common_arg(
         {"--presence-penalty"}, "N",
         string_format("repeat alpha presence penalty (default: %.2f, 0.0 = disabled)", (double)params.sampling.penalty_present),
@@ -2113,7 +2100,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             }
             params.sampling.penalty_present = penalty_present;
         }
-    ).set_sampling().set_env("LLAMA_ARG_PRESENCE_PENALTY"));
+    ).set_sampling());
     add_opt(common_arg(
         {"--frequency-penalty"}, "N",
         string_format("repeat alpha frequency penalty (default: %.2f, 0.0 = disabled)", (double)params.sampling.penalty_freq),
@@ -2124,7 +2111,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             }
             params.sampling.penalty_freq = penalty_freq;
         }
-    ).set_sampling().set_env("LLAMA_ARG_FREQUENCY_PENALTY"));
+    ).set_sampling());
     add_opt(common_arg(
         {"--dry-multiplier"}, "N",
         string_format("set DRY sampling multiplier (default: %.2f, 0.0 = disabled)", (double)params.sampling.dry_multiplier),
@@ -2283,14 +2270,14 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
     ).set_sampling());
     add_opt(common_arg(
         {"-j", "--json-schema"}, "SCHEMA",
-        "JSON schema to constrain generations (https://json-schema.org/), e.g. `{\"type\": \"object\"}` for any JSON object",
+        "JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object\nFor schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead",
         [](common_params & params, const std::string & value) {
             params.sampling.grammar = {COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT, json_schema_to_grammar(json::parse(value))};
         }
     ).set_sampling());
     add_opt(common_arg(
         {"-jf", "--json-schema-file"}, "FILE",
-        "File containing a JSON schema to constrain generations (https://json-schema.org/), e.g. `{\"type\": \"object\"}` for any JSON object",
+        "File containing a JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object\nFor schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead",
         [](common_params & params, const std::string & value) {
             std::ifstream file(value);
             if (!file) {
@@ -2608,26 +2595,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.mmproj_use_gpu = value;
         }
     ).set_examples(mmproj_examples).set_env("LLAMA_ARG_MMPROJ_OFFLOAD"));
-    add_opt(common_arg(
-        // note: "-mmdev" must sort after "--rpc" in the preset map, else RPC devices are not registered yet
-        {"-mmdev", "--mmproj-device"}, "DEVICE",
-        "device to use for multimodal projector (none = don't offload, default: follows --device)\n"
-        "use --list-devices to see a list of available devices",
-        [](common_params & params, const std::string & value) {
-            if (value == "none") {
-                params.mmproj_use_gpu = false;
-                params.mmproj_device  = nullptr;
-                return;
-            }
-            auto devices = parse_device_list(value);
-            // parse_device_list pushes nullptr at back so devices is length 2 for single device.
-            if (devices.size() > 2) {
-                throw std::invalid_argument("only one device may be specified for mmproj");
-            }
-            params.mmproj_use_gpu = true;
-            params.mmproj_device  = devices.front();
-        }
-    ).set_examples(mmproj_examples).set_env("MTMD_BACKEND_DEVICE")); // no LLAMA_ARG_ prefix for backward compatibility reason
     add_opt(common_arg(
         {"--image", "--audio", "--video"}, "FILE",
         "path to an image, audio, or video file. use with multimodal models, use comma-separated values for multiple files\n",
@@ -2658,38 +2625,42 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.mtmd_batch_max_tokens = value;
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_MTMD_BATCH_MAX_TOKENS"));
-    add_opt(common_arg(
-        {"--video-fps"}, "N",
-        string_format("target video frame rate (default: %.1f)", params.video_fps),
-        [](common_params & params, const std::string & value) {
-            params.video_fps = std::stof(value);
-        }
-    ).set_examples(mmproj_examples).set_env("LLAMA_ARG_VIDEO_FPS"));
-    add_opt(common_arg(
-        {"--video-timestamp-interval"}, "N",
-        string_format("interval in milliseconds between text timestamps (default: %" PRId64 ")", params.video_timestamp_interval_ms),
-        [](common_params & params, int value) {
-            params.video_timestamp_interval_ms = value;
-        }
-    ).set_examples(mmproj_examples).set_env("LLAMA_ARG_VIDEO_TIMESTAMP_INTERVAL"));
-    add_opt(common_arg(
-        {"--video-ffmpeg-dir"}, "DIR",
-        "path to the directory containing ffmpeg and ffprobe (default: search in PATH)",
-        [](common_params & params, const std::string & value) {
-            params.video_ffmpeg_bin_dir = value;
-        }
-    ).set_examples(mmproj_examples).set_env("LLAMA_ARG_VIDEO_FFMPEG_DIR"));
-    add_opt(common_arg(
-        {"--rpc"}, "SERVERS",
-        "comma-separated list of RPC servers (host:port)",
-        [](common_params & params, const std::string & value) {
-            if (!llama_supports_rpc()) {
-                throw std::invalid_argument("RPC not supported in this build");
+    if (params.is_gen_docs || llama_supports_rpc()) {
+        add_opt(common_arg(
+            {"--rpc"}, "SERVERS",
+            "comma-separated list of RPC servers (host:port)",
+            [](common_params & params, const std::string & value) {
+                add_rpc_devices(value);
+                GGML_UNUSED(params);
             }
-            add_rpc_devices(value);
-            GGML_UNUSED(params);
+        ).set_env("LLAMA_ARG_RPC"));
+    }
+    add_opt(common_arg(
+        {"--mlock"},
+        "DEPRECATED in favor of `--load-mode`: force system to keep model in RAM rather than swapping or compressing",
+        [](common_params & params) {
+            LOG_WRN("DEPRECATED: --mlock is deprecated. use --load-mode mlock instead\n");
+            params.load_mode = LLAMA_LOAD_MODE_MLOCK;
         }
-    ).set_env("LLAMA_ARG_RPC"));
+    ).set_env("LLAMA_ARG_MLOCK"));
+    add_opt(common_arg(
+        {"--mmap"},
+        {"--no-mmap"},
+        "DEPRECATED in favor of `--load-mode`: whether to memory-map model. (if mmap disabled, slower load but may reduce pageouts if not using mlock)",
+        [](common_params & params, bool value) {
+            LOG_WRN("DEPRECATED: --mmap and --no-mmap are deprecated. use --load-mode mmap instead\n");
+            params.load_mode = value ? LLAMA_LOAD_MODE_MMAP : LLAMA_LOAD_MODE_NONE;
+        }
+    ).set_env("LLAMA_ARG_MMAP"));
+    add_opt(common_arg(
+        {"-dio", "--direct-io"},
+        {"-ndio", "--no-direct-io"},
+        "DEPRECATED in favor of `--load-mode`: use DirectIO if available",
+        [](common_params & params, bool value) {
+            LOG_WRN("DEPRECATED: --direct-io and --no-direct-io are deprecated. use --load-mode dio instead\n");
+            params.load_mode = value ? LLAMA_LOAD_MODE_DIRECT_IO : LLAMA_LOAD_MODE_NONE;
+        }
+    ).set_env("LLAMA_ARG_DIO"));
     add_opt(common_arg(
         {"-lm", "--load-mode"}, "MODE",
         "model loading mode (default: auto)\n"
@@ -2709,19 +2680,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             else { throw std::invalid_argument("invalid value"); }
         }
     ).set_env("LLAMA_ARG_LOAD_MODE"));
-    add_opt(common_arg(
-        {"-lzm", "--lazy-mode"}, "MODE",
-        "on-demand reading of certain tensors, for example per-layer embeddings (default: auto)\n"
-        "- on: read the rows of such tensors from disk on demand instead of keeping them resident (requires mmap)\n"
-        "- auto: on, but only for tensors larger than 4 GiB\n"
-        "- off: always keep them resident",
-        [](common_params & params, const std::string & value) {
-            /**/ if (value == "on")   { params.lazy_mode = LLAMA_LAZY_MODE_ON;   }
-            else if (value == "auto") { params.lazy_mode = LLAMA_LAZY_MODE_AUTO; }
-            else if (value == "off")  { params.lazy_mode = LLAMA_LAZY_MODE_OFF;  }
-            else { throw std::invalid_argument("invalid value"); }
-        }
-    ).set_env("LLAMA_ARG_LAZY_MODE"));
     add_opt(common_arg(
         {"--numa"}, "TYPE",
         "attempt optimizations that help on some NUMA systems\n"
@@ -2773,30 +2731,14 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             if (value < 0) {
                 throw std::invalid_argument("invalid value");
             }
-            llm_add_n_cpu_ffn_overrides(value, LLM_FFN_EXPS_REGEX, params.tensor_buft_overrides);
+            for (int i = 0; i < value; ++i) {
+                // keep strings alive and avoid leaking memory by storing them in a static vector
+                static std::list<std::string> buft_overrides;
+                buft_overrides.push_back(llm_ffn_exps_block_regex(i));
+                params.tensor_buft_overrides.push_back({buft_overrides.back().c_str(), ggml_backend_cpu_buffer_type()});
+            }
         }
     ).set_env("LLAMA_ARG_N_CPU_MOE"));
-    add_opt(common_arg(
-        {"--moe-cache-mib"}, "N",
-        "GPU cache size in MiB for the MoE experts kept in the CPU. with multiple GPUs, it is split among them like the layers (--tensor-split) (default: 0, disabled)",
-        [](common_params & params, int value) {
-            if (value < 0) {
-                throw std::invalid_argument("invalid value");
-            }
-            params.moe_cache_size = (size_t) value*1024*1024;
-        }
-    ).set_env("LLAMA_ARG_MOE_CACHE_MIB"));
-    add_opt(common_arg(
-        {"-ncffn", "--n-cpu-ffn"}, "N",
-        "keep the dense FFN weights of the first N layers in the CPU\n"
-        "(dense models; for MoE expert weights use --n-cpu-moe)",
-        [](common_params & params, int value) {
-            if (value < 0) {
-                throw std::invalid_argument("invalid value");
-            }
-            llm_add_n_cpu_ffn_overrides(value, LLM_FFN_DENSE_REGEX, params.tensor_buft_overrides);
-        }
-    ).set_env("LLAMA_ARG_N_CPU_FFN"));
     GGML_ASSERT(params.n_gpu_layers < 0); // string_format would need to be extended for a default >= 0
     add_opt(common_arg(
         {"-ngl", "--gpu-layers", "--n-gpu-layers"}, "N",
@@ -3193,13 +3135,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.process_output = true;
         }
     ).set_examples({LLAMA_EXAMPLE_IMATRIX}));
-    add_opt(common_arg(
-        {"--nextn"},
-        string_format("collect data for MTP/NextN layers (default: %s)", params.load_mtp ? "true" : "false"),
-        [](common_params & params) {
-            params.load_mtp = true;
-        }
-    ).set_examples({LLAMA_EXAMPLE_IMATRIX}));
     add_opt(common_arg(
         {"--ppl"},
         {"--no-ppl"},
@@ -3332,18 +3267,9 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
     ).set_examples({LLAMA_EXAMPLE_EMBEDDING}));
     add_opt(common_arg(
         {"--host"}, "HOST",
-        string_format("IP addresses to listen on, comma-separated, or UNIX socket paths ending in .sock; with multiple TCP addresses, :: binds IPv6 only; overlapping addresses result in undefined behavior (default: %s)", params.hostnames[0].c_str()),
+        string_format("ip address to listen, or bind to an UNIX socket if the address ends with .sock (default: %s)", params.hostname.c_str()),
         [](common_params & params, const std::string & value) {
-            params.hostnames.clear();
-            for (auto & host : parse_csv_row(value)) {
-                host = string_strip(host);
-                if (!host.empty()) {
-                    params.hostnames.push_back(host);
-                }
-            }
-            if (params.hostnames.empty()) {
-                throw std::invalid_argument("--host requires at least one address");
-            }
+            params.hostname = value;
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_HOST"));
     add_opt(common_arg(
@@ -3436,7 +3362,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         {"--tools"}, "TOOL1,TOOL2,...",
         "experimental: whether to enable built-in tools for AI agents - do not enable in untrusted environments (default: no tools)\n"
         "specify \"all\" to enable all tools\n"
-        "available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, get_info\n"
+        "available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, get_datetime, get_info\n"
         "note: for security reasons, this will limit --cors-origins to localhost by default",
         [](common_params & params, const std::string & value) {
             params.server_tools = parse_csv_row(value);
@@ -3560,10 +3486,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
                     LOG_WRN("Setting 'enable_thinking' via --chat-template-kwargs is deprecated. "
                             "Use --reasoning on / --reasoning off instead.\n");
                 }
-                if (item.key() == "preserve_reasoning") {
-                    LOG_WRN("Setting 'preserve_reasoning' via --chat-template-kwargs is deprecated. "
-                            "Use --reasoning-preserve / --no-reasoning-preserve instead.\n");
-                }
                 params.default_template_kwargs[item.key()] = item.value().dump();
             }
         }
@@ -3754,7 +3676,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
     add_opt(common_arg(
         {"--reasoning-preserve"},
         {"--no-reasoning-preserve"},
-        "preserve reasoning trace in the full history, not just the last assistant message (default: enabled)\n"
+        "preserve reasoning trace in the full history, not just the last assistant message (default: template default)\n"
         "compatible with certain templates having 'supports_preserve_reasoning' capability\n"
         "example: https://docs.z.ai/guides/capabilities/thinking-mode#preserved-thinking",
         [](common_params & params, bool value) {
@@ -3763,7 +3685,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             } else {
                 params.default_template_kwargs["preserve_reasoning"] = "false";
             }
-            params.preserve_reasoning_specified = true;
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_REASONING_PRESERVE"));
     add_opt(common_arg(
@@ -3903,14 +3824,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             common_log_set_file(common_log_main(), value.c_str());
         }
     ).set_env("LLAMA_ARG_LOG_FILE"));
-    add_opt(common_arg(
-        {"--log-jsonl"},
-        {"--no-log-jsonl"},
-        "Log as JSONL (one JSON object per line) to stdout, this also disables colored logging (default: disabled)",
-        [](common_params &, bool value) {
-            common_log_set_jsonl(value);
-        }
-    ).set_env("LLAMA_ARG_LOG_JSONL"));
     add_opt(common_arg(
         {"--log-prompts-dir"}, "PATH",
         "Log prompts to directory (auto-created if not present; only used for debugging, default: disabled)",
@@ -4152,7 +4065,11 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             if (value < 0) {
                 throw std::invalid_argument("invalid value");
             }
-            llm_add_n_cpu_ffn_overrides(value, LLM_FFN_EXPS_REGEX, params.speculative.draft.tensor_buft_overrides);
+            for (int i = 0; i < value; ++i) {
+                static std::list<std::string> buft_overrides_draft;
+                buft_overrides_draft.push_back(llm_ffn_exps_block_regex(i));
+                params.speculative.draft.tensor_buft_overrides.push_back({buft_overrides_draft.back().c_str(), ggml_backend_cpu_buffer_type()});
+            }
         }
     ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_N_CPU_MOE"));
 
@@ -4173,38 +4090,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.speculative.draft.n_min = value;
         }
     ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_N_MIN"));
-    add_opt(common_arg(
-        {"--spec-synth-len"}, "L",
-        "target mean synthetic acceptance length, including the target token (benchmarking only)",
-        [](common_params & params, const std::string & value) {
-            const std::string text = string_strip(value);
-            size_t pos = 0;
-            const double length = std::stod(text, &pos);
-            if (pos != text.size() || length == -1.0) {
-                throw std::invalid_argument("invalid value");
-            }
-            params.speculative.synth_len = length;
-        }
-    ).set_spec().set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_SYNTH_LEN"));
-    add_opt(common_arg(
-        {"--spec-synth-rates"}, "P0,P1,...",
-        "comma-separated unconditional per-position synthetic acceptance probabilities (benchmarking only)",
-        [](common_params & params, const std::string & value) {
-            const auto values = string_split<std::string>(value, ',');
-            std::vector<double> rates;
-            rates.reserve(values.size());
-            for (const auto & raw : values) {
-                const std::string text = string_strip(raw);
-                size_t pos = 0;
-                const double rate = std::stod(text, &pos);
-                if (pos != text.size()) {
-                    throw std::invalid_argument("invalid value");
-                }
-                rates.push_back(rate);
-            }
-            params.speculative.synth_rates = std::move(rates);
-        }
-    ).set_spec().set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_SYNTH_RATES"));
 
     add_opt(common_arg(
         {"--spec-draft-p-split", "--draft-p-split"}, "P",
@@ -4229,24 +4114,9 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.speculative.draft.backend_sampling = value;
         }
     ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_BACKEND_SAMPLING"));
-    add_opt(common_arg(
-        {"--spec-draft-sampling"}, "{greedy,probabilistic}",
-        string_format("how the draft is sampled: greedy takes its argmax, probabilistic samples it and has "
-                      "the target verify by rejection sampling (default: %s)",
-                      params.speculative.draft.probabilistic ? "probabilistic" : "greedy"),
-        [](common_params & params, const std::string & value) {
-            if (value == "greedy") {
-                params.speculative.draft.probabilistic = false;
-            } else if (value == "probabilistic") {
-                params.speculative.draft.probabilistic = true;
-            } else {
-                throw std::invalid_argument("invalid value, must be one of: greedy, probabilistic");
-            }
-        }
-    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_SAMPLING"));
     add_opt(common_arg(
         {"--spec-draft-device", "-devd", "--device-draft"}, "<dev1,dev2,..>",
-        "comma-separated list of devices to use for offloading the draft model (none = don't offload, default: follows --device)\n"
+        "comma-separated list of devices to use for offloading the draft model (none = don't offload)\n"
         "use --list-devices to see a list of available devices",
         [](common_params & params, const std::string & value) {
             params.speculative.draft.devices = parse_device_list(value);
@@ -4279,7 +4149,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.speculative.draft.mparams.path = value;
             params.speculative.draft.mparams.hf_file = value; // will be used if --spec-draft-hf is set
         }
-    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI, LLAMA_EXAMPLE_IMATRIX}).set_env("LLAMA_ARG_SPEC_DRAFT_MODEL"));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_MODEL"));
     add_opt(common_arg(
         {"--spec-type"}, common_speculative_all_types_str(),
         string_format("comma-separated list of types of speculative decoding to use (default: %s)\n",
@@ -4788,12 +4658,6 @@ void common_params_add_preset_options(std::vector<common_arg> & args) {
         [](common_params &, int) { /* unused */ }
     ).set_env(COMMON_ARG_PRESET_STOP_TIMEOUT).set_preset_only());
 
-    args.push_back(common_arg(
-        {"dedup-cache-models"}, "0|1",
-        "in server router mode, hide a cached model from the model list when this preset resolves to the same model file",
-        [](common_params &, const std::string &) { /* unused */ }
-    ).set_env(COMMON_ARG_PRESET_DEDUP_CACHE_MODELS).set_preset_only());
-
     // args.push_back(common_arg(
     //     {"pin"},
     //     "in server router mode, do not unload this model if models_max is exceeded",

common/arg.h

@@ -11,9 +11,8 @@
 #include <memory>
 
 // pseudo-env variable to identify preset-only arguments
-#define COMMON_ARG_PRESET_LOAD_ON_STARTUP    "__PRESET_LOAD_ON_STARTUP"
-#define COMMON_ARG_PRESET_STOP_TIMEOUT       "__PRESET_STOP_TIMEOUT"
-#define COMMON_ARG_PRESET_DEDUP_CACHE_MODELS "__PRESET_DEDUP_CACHE_MODELS"
+#define COMMON_ARG_PRESET_LOAD_ON_STARTUP "__PRESET_LOAD_ON_STARTUP"
+#define COMMON_ARG_PRESET_STOP_TIMEOUT    "__PRESET_STOP_TIMEOUT"
 
 //
 // CLI argument parsing
@@ -122,8 +121,6 @@ struct common_params_context {
 
 // parse input arguments from CLI
 // if one argument has invalid value, it will automatically display usage of the specific argument (and not the full usage message)
-// TODO: this function can load ggml backend (by calling llama_support_rpc)
-//       this is a side-effect that should be avoided
 bool common_params_parse(int argc, char ** argv, common_params & params, llama_example ex, void(*print_usage)(int, char **) = nullptr);
 
 // load all backends and print the list of available (non-CPU) devices to stdout

common/build-info.cpp.in

@@ -29,7 +29,7 @@ const char * llama_build_info(void) {
     return s.c_str();
 }
 
-void llama_print_build_info(const char * llama_version, FILE * stream) {
-    fprintf(stream, "version: %s (build %d, commit %s)\n", llama_version, llama_build_number(), llama_commit());
-    fprintf(stream, "built with %s for %s\n", llama_compiler(), llama_build_target());
+void llama_print_build_info(const char * llama_version) {
+    fprintf(stderr, "version: %s (build %d, commit %s)\n", llama_version, llama_build_number(), llama_commit());
+    fprintf(stderr, "built with %s for %s\n", llama_compiler(), llama_build_target());
 }

common/build-info.h

@@ -1,7 +1,5 @@
 #pragma once
 
-#include <cstdio>
-
 int llama_build_number(void);
 
 const char * llama_commit(void);
@@ -10,4 +8,4 @@ const char * llama_compiler(void);
 const char * llama_build_target(void);
 const char * llama_build_info(void);
 
-void llama_print_build_info(const char *, FILE * = stderr);
+void llama_print_build_info(const char *);

common/chat-auto-parser-generator.cpp

@@ -5,13 +5,23 @@
 #include "common.h"
 #include "json-schema-to-grammar.h"
 #include "log.h"
-#include "parsers/parsers.h"
+#include "nlohmann/json.hpp"
 #include "peg-parser.h"
 
 #include <stdexcept>
 #include <string>
 
-using json = common_json;
+using json = nlohmann::ordered_json;
+
+// Helper to iterate over tools/functions
+static void foreach_function(const json & tools, const std::function<void(const json &)> & fn) {
+    for (const auto & tool : tools) {
+        if (!tool.contains("type") || tool.at("type") != "function" || !tool.contains("function")) {
+            continue;
+        }
+        fn(tool);
+    }
+}
 
 namespace autoparser {
 
@@ -78,6 +88,15 @@ common_chat_params peg_generator::generate_parser(const common_chat_template &
     if (include_grammar) {
         data.grammar_lazy = !has_response_format && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO;
         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();
+                builder.resolve_refs(schema);
+            });
+            if (has_response_format) {
+                auto schema = inputs.json_schema;
+                builder.resolve_refs(schema);
+            }
             parser.build_grammar(builder, data.grammar_lazy);
         });
 
@@ -291,10 +310,10 @@ common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context
 
     common_peg_parser tool_choice = p.choice();
 
-    foreach_function(inputs.tools, [&](size_t tool_index, const json & tool) {
+    foreach_function(inputs.tools, [&](const json & tool) {
         const auto & func   = tool.at("function");
         std::string  name   = func.at("name");
-        const auto   schema = common_chat_tool_parameters(func);
+        const auto & schema = func.contains("parameters") ? func.at("parameters") : json::object();
 
         // Build call_id parser based on position (if supported)
         bool have_call_id = false;
@@ -308,7 +327,7 @@ common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context
             }
             have_call_id = true;
         }
-        auto args_parser = p.tool_args(p.schema(p.json(), "tool-" + std::to_string(tool_index) + "-schema", schema));
+        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;
         }
@@ -318,7 +337,7 @@ common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context
 
         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);
-        tool_choice |= p.rule("tool-" + std::to_string(tool_index), func_parser);
+        tool_choice |= p.rule("tool-" + name, func_parser);
     });
 
     auto require_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
@@ -364,32 +383,44 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
 
     common_peg_parser tool_choice = p.choice();
 
-    foreach_function(inputs.tools, [&](size_t tool_index, const json & tool) {
-        const auto & func = tool.at("function");
-        std::string  name = func.at("name");
+    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();
+
+        std::set<std::string> required;
+        if (params.contains("required")) {
+            params.at("required").get_to(required);
+        }
+
+        auto schema_info = common_schema_info();
+        schema_info.resolve_refs(params);
 
         // Build parser for each argument, separating required and optional
         std::vector<common_peg_parser> required_parsers;
         std::vector<common_peg_parser> optional_parsers;
-        foreach_parameter(func, [&](size_t param_index, const common_chat_schema_property & param, const common_chat_schema_document_ptr & doc) {
+        for (const auto & [param_name, param_schema] : properties.items()) {
+            bool is_required = required.find(param_name) != required.end();
+
             auto arg =
-                p.tool_arg(p.tool_arg_open(arguments.name_prefix + p.tool_arg_name(p.literal(param.name)) +
+                p.tool_arg(p.tool_arg_open(arguments.name_prefix + p.tool_arg_name(p.literal(param_name)) +
                                            arguments.name_suffix) +
                            arguments.value_prefix +
-                           (param.schema->may_be_string() ?
+                           (schema_info.resolves_to_string(param_schema) ?
                                 p.ac(p.tool_arg_string_value(until_suffix) +
                                     p.tool_arg_close(p.literal(arguments.value_suffix)), arguments.value_suffix) :
                                 (p.tool_arg_json_value(p.schema(
-                                    p.json(), "tool-" + std::to_string(tool_index) + "-arg-" + std::to_string(param_index) + "-schema", doc, *param.schema)) +
+                                    p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, false)) +
                                     p.tool_arg_close(p.literal(arguments.value_suffix)))));
 
-            auto named_arg = p.rule("tool-" + std::to_string(tool_index) + "-arg-" + std::to_string(param_index), arg);
-            if (param.required) {
+            auto named_arg = p.rule("tool-" + name + "-arg-" + param_name, arg);
+            if (is_required) {
                 required_parsers.push_back(named_arg);
             } else {
                 optional_parsers.push_back(named_arg);
             }
-        });
+        }
 
         // Build required arg sequence in definition order
         common_peg_parser args_seq = p.eps();
@@ -434,7 +465,7 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
         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-" + std::to_string(tool_index), func_parser);
+        tool_choice |= p.rule("tool-" + name, func_parser);
     });
 
     auto require_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;

common/chat-auto-parser-helpers.cpp

@@ -4,11 +4,14 @@
 #include "chat-peg-parser.h"
 #include "chat.h"
 #include "log.h"
+#include "nlohmann/json.hpp"
 #include "peg-parser.h"
 
 #include <cctype>
 #include <numeric>
 
+using json = nlohmann::ordered_json;
+
 std::string trim_whitespace(const std::string & str) {
     size_t start = 0;
     while (start < str.length() && std::isspace(static_cast<unsigned char>(str[start]))) {

common/chat-auto-parser.h

@@ -4,7 +4,7 @@
 #include "common.h"
 #include "jinja/caps.h"
 #include "peg-parser.h"
-#include "json.h"
+#include "nlohmann/json.hpp"
 
 #include <chrono>
 #include <optional>
@@ -12,7 +12,7 @@
 #include <utility>
 #include <vector>
 
-using json = common_json;
+using json = nlohmann::ordered_json;
 
 class common_chat_peg_builder;
 

common/chat-diff-analyzer.cpp

@@ -4,11 +4,11 @@
 #include "chat.h"
 #include "common.h"
 #include "log.h"
+#include "nlohmann/json.hpp"
 #include "peg-parser.h"
 
 #include <algorithm>
 #include <cctype>
-#include <numeric>
 #include <ostream>
 #include <sstream>
 
@@ -17,7 +17,7 @@
 #define ANSI_ORANGE "\033[1m\x1b[38;5;214m"
 #define ANSI_RED    "\033[1m\x1b[38;5;196m"
 
-using json = common_json;
+using json = nlohmann::ordered_json;
 
 namespace autoparser {
 
@@ -193,14 +193,6 @@ static std::vector<std::function<void(const common_chat_template & tmpl, autopar
               LOG_DBG(ANSI_ORANGE "[Patch: Laguna]\n" ANSI_RESET);
           }
       },
-      // Bailing V3
-      [](const common_chat_template & tmpl, autoparser & analysis) -> void {
-          if (tmpl.src.find("Bailing V3 chat template") != std::string::npos) {
-              analysis.tools.arguments.value_suffix = trim_whitespace(analysis.tools.arguments.value_suffix);
-              analysis.tools.arguments.tolerate_intertag_whitespace = true;
-              LOG_DBG(ANSI_ORANGE "[Patch: Bailing V3]\n" ANSI_RESET);
-          }
-      },
 
     });
 
@@ -929,7 +921,7 @@ void analyze_tools::analyze_tool_call_format_json_native(const std::string & cle
     int  json_end       = clean_haystack.find_last_of('}');
     std::string cut     = clean_haystack.substr(json_start, json_end - json_start + 1);
     json call_struct    = json::parse(cut);
-    auto register_field = [&](const std::string & prefix, const common_json_entry & subel) {
+    auto register_field = [&](const std::string & prefix, const nlohmann::detail::iteration_proxy_value<json::iterator> & subel) {
         if (subel.value().is_string() && std::string(subel.value()).find("call0000") != std::string::npos) {
             format.id_field = !prefix.empty() ? prefix + "." + subel.key() : subel.key();
         } else if (subel.value().is_string() && std::string(subel.value()) == fun_name_needle) {

common/chat-peg-parser.cpp

@@ -4,10 +4,12 @@
 #include "ggml.h"
 #include "peg-parser.h"
 
+#include <nlohmann/json.hpp>
+
 #include <cstdint>
 #include <functional>
 
-using ordered_json = common_json;
+using ordered_json = nlohmann::ordered_json;
 
 static std::string_view trim_trailing_space(std::string_view sv, int max = -1) {
     int count = 0;
@@ -318,13 +320,13 @@ void common_chat_peg_mapper::map(const common_peg_ast_node & node) {
     bool is_content   = node.tag == common_chat_peg_builder::CONTENT;
 
     if (is_reasoning) { // GPT OSS can have more than 1 reasoning block, so concatenate here
-        result.reasoning_content += node.sanitized_text();
+        result.reasoning_content += std::string(node.text);
     }
 
     if (is_content) {
         // Concatenate content from multiple content nodes (e.g., when reasoning markers
         // are preserved before content markers in reasoning_format=NONE mode)
-        result.content += node.sanitized_text();
+        result.content += std::string(node.text);
     }
 
     // Handle tool-related tags (supporting both JSON and tagged formats)
@@ -451,7 +453,6 @@ void common_chat_peg_mapper::map(const common_peg_ast_node & node) {
                 result.tool_calls.push_back(pending_tool_call.value());
             }
             pending_tool_call.reset();
-            current_tool = nullptr;
         }
     }
 }
@@ -483,15 +484,13 @@ common_peg_parser common_chat_peg_builder::standard_constructed_tools(
     // Build tool choices for tagged format
     auto tool_choices = choice();
 
-    for (size_t i = 0; i < tools.size(); i++) {
-        const auto & tool_def = tools[i];
-
+    for (const auto & tool_def : tools) {
         if (!tool_def.contains("function")) {
             continue;
         }
         const auto &   function = tool_def.at("function");
         std::string    name     = function.at("name");
-        ordered_json   params   = common_chat_tool_parameters(function);
+        ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
 
         // Build argument parsers
         auto args = eps();
@@ -515,7 +514,7 @@ common_peg_parser common_chat_peg_builder::standard_constructed_tools(
         auto tool_parser = tool(tool_open(literal(func_opener) + tool_name(literal(name)) + literal(func_name_suffix)) +
                                 space() + tool_args(args) + space() + tool_close(literal(func_closer)));
 
-        tool_choices |= rule("tool-" + std::to_string(i), tool_parser);
+        tool_choices |= rule("tool-" + name, tool_parser);
     }
 
     // Build the section with markers
@@ -562,14 +561,13 @@ common_peg_parser common_chat_peg_builder::python_style_tool_calls(
 
     auto tool_choices = choice();
 
-    for (size_t i = 0; i < tools.size(); i++) {
-        const auto & tool_def = tools[i];
+    for (const auto & tool_def : tools) {
         if (!tool_def.contains("function")) {
             continue;
         }
         const auto &   function = tool_def.at("function");
         std::string    name     = function.at("name");
-        ordered_json   params   = common_chat_tool_parameters(function);
+        ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
 
         auto args = eps();
         if (params.contains("properties") && !params["properties"].empty()) {
@@ -610,7 +608,7 @@ common_peg_parser common_chat_peg_builder::python_style_tool_calls(
             space() + tool_args(args) + space() + tool_close(literal(")"))
         );
 
-        tool_choices |= rule("tool-" + std::to_string(i), tool_parser);
+        tool_choices |= rule("tool-" + name, tool_parser);
     }
 
     if (parallel_tool_calls) {
@@ -638,14 +636,13 @@ common_peg_parser common_chat_peg_builder::build_json_tools_function_is_key(
 
     auto tool_choices = choice();
 
-    for (size_t i = 0; i < tools.size(); i++) {
-        const auto & tool_def = tools[i];
+    for (const auto & tool_def : tools) {
         if (!tool_def.contains("function")) {
             continue;
         }
         const auto &   function = tool_def.at("function");
         std::string    name     = function.at("name");
-        ordered_json   params   = common_chat_tool_parameters(function);
+        ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
 
         // Build inner object fields
         std::vector<common_peg_parser> inner_fields;
@@ -672,10 +669,10 @@ common_peg_parser common_chat_peg_builder::build_json_tools_function_is_key(
         // Arguments — either wrapped in args_key or parsed directly
         common_peg_parser args_parser = eps();
         if (args_key.empty()) {
-            args_parser = tool_args(schema(json(), "tool-" + std::to_string(i) + "-schema", params));
+            args_parser = tool_args(schema(json(), "tool-" + name + "-schema", params));
         } else {
             args_parser = literal("\"" + effective_args_key + "\"") + space() + literal(":") + space() +
-                          tool_args(schema(json(), "tool-" + std::to_string(i) + "-schema", params));
+                          tool_args(schema(json(), "tool-" + name + "-schema", params));
         }
         inner_fields.push_back(args_parser);
 
@@ -702,7 +699,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_function_is_key(
             space() + tool_close(literal("}"))
         );
 
-        tool_choices |= rule("tool-" + std::to_string(i), tool_parser);
+        tool_choices |= rule("tool-" + name, tool_parser);
     }
 
     return tool_choices;
@@ -725,19 +722,18 @@ common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys(
     std::string nested_name_field = !name_spec.first.empty() ? name_spec.second  : effective_name_key;
     std::string nested_args_field = !args_spec.first.empty() ? args_spec.second  : effective_args_key;
 
-    for (size_t i = 0; i < tools.size(); i++) {
-        const auto & tool_def = tools[i];
+    for (const auto & tool_def : tools) {
         if (!tool_def.contains("function")) {
             continue;
         }
         const auto &   function = tool_def.at("function");
         std::string    name     = function.at("name");
-        ordered_json   params   = common_chat_tool_parameters(function);
+        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("\""));
         auto nested_args = literal("\"" + nested_args_field + "\"") + space() + literal(":") + space() +
-                          tool_args(schema(json(), "tool-" + std::to_string(i) + "-schema", params));
+                          tool_args(schema(json(), "tool-" + name + "-schema", params));
 
         auto nested_object = literal("{") + space() +
                             nested_name + space() + literal(",") + space() +
@@ -775,7 +771,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys(
         auto nested_field = literal("\"" + nested_prefix + "\"") + space() + literal(":") + space() + nested_object;
         tool_parser_body = tool_parser_body + nested_field + space() + tool_close(literal("}"));
 
-        tool_choices |= rule("tool-" + std::to_string(i), tool(tool_parser_body));
+        tool_choices |= rule("tool-" + name, tool(tool_parser_body));
     }
 
     return tool_choices;
@@ -795,19 +791,18 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys(
     auto name_key_parser = literal("\"" + effective_name_key + "\"");
     auto args_key_parser = literal("\"" + effective_args_key + "\"");
 
-    for (size_t i = 0; i < tools.size(); i++) {
-        const auto & tool_def = tools[i];
+    for (const auto & tool_def : tools) {
         if (!tool_def.contains("function")) {
             continue;
         }
         const auto &   function = tool_def.at("function");
         std::string    name     = function.at("name");
-        ordered_json   params   = common_chat_tool_parameters(function);
+        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("\""));
         auto tool_args_ = args_key_parser + space() + literal(":") + space() +
-                         tool_args(schema(json(), "tool-" + std::to_string(i) + "-schema", params));
+                         tool_args(schema(json(), "tool-" + name + "-schema", params));
 
         // Build ID parsers if keys are provided
         common_peg_parser id_parser = eps();
@@ -867,7 +862,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys(
         }
         ordered_body = ordered_body + space() + tool_close(literal("}"));
 
-        tool_choices |= rule("tool-" + std::to_string(i), tool(ordered_body));
+        tool_choices |= rule("tool-" + name, tool(ordered_body));
     }
 
     return tool_choices;
@@ -1065,12 +1060,12 @@ void common_chat_peg_gemma4_mapper::visit(const common_peg_ast_arena & arena, co
     const auto & node = arena.get(id);
 
     if (node.tag == "reasoning") {
-        result.reasoning_content += node.sanitized_text();
+        result.reasoning_content += std::string(node.text);
         return;
     }
 
     if (node.tag == "content") {
-        result.content += node.sanitized_text();
+        result.content += std::string(node.text);
         return;
     }
 
@@ -1213,12 +1208,12 @@ void common_chat_peg_minimax_m3_mapper::visit(const common_peg_ast_arena & arena
     const auto & node = arena.get(id);
 
     if (node.tag == common_chat_peg_builder::REASONING) {
-        result.reasoning_content += node.sanitized_text();
+        result.reasoning_content += std::string(node.text);
         return;
     }
 
     if (node.tag == common_chat_peg_builder::CONTENT) {
-        result.content += node.sanitized_text();
+        result.content += std::string(node.text);
         return;
     }
 

common/chat-peg-parser.h

@@ -128,7 +128,7 @@ class common_chat_peg_builder : public common_peg_parser_builder {
     // parameters_order: order in which JSON fields should be parsed
     common_peg_parser standard_json_tools(const std::string &              section_start,
                                           const std::string &              section_end,
-                                          const common_json &   tools,
+                                          const nlohmann::ordered_json &   tools,
                                           bool                             parallel_tool_calls,
                                           bool                             force_tool_calls,
                                           const std::string &              name_key = "",
@@ -143,13 +143,13 @@ class common_chat_peg_builder : public common_peg_parser_builder {
     // Legacy-compatible helper for building XML/tagged style tool calls
     // Used by tests and manual parsers
     common_peg_parser standard_constructed_tools(const std::map<std::string, std::string> & markers,
-                                                 const common_json &             tools,
+                                                 const nlohmann::ordered_json &             tools,
                                                  bool                                       parallel_tool_calls,
                                                  bool                                       force_tool_calls);
 
     // Helper for Python-style function call format: name(arg1="value1", arg2=123)
     // Used by LFM2 and similar templates
-    common_peg_parser python_style_tool_calls(const common_json & tools,
+    common_peg_parser python_style_tool_calls(const nlohmann::ordered_json & tools,
                                               bool                           parallel_tool_calls,
                                               bool                           allow_json_literals);
 
@@ -158,19 +158,19 @@ class common_chat_peg_builder : public common_peg_parser_builder {
     common_peg_parser python_or_json_value();
 
     // Implementation helpers for standard_json_tools — one per JSON tool call layout mode
-    common_peg_parser build_json_tools_function_is_key(const common_json & tools,
+    common_peg_parser build_json_tools_function_is_key(const nlohmann::ordered_json & tools,
                                                        const std::string &            args_key,
                                                        const std::string &            effective_args_key,
                                                        const std::string &            call_id_key,
                                                        const std::string &            gen_call_id_key);
 
-    common_peg_parser build_json_tools_nested_keys(const common_json & tools,
+    common_peg_parser build_json_tools_nested_keys(const nlohmann::ordered_json & tools,
                                                    const std::string &            effective_name_key,
                                                    const std::string &            effective_args_key,
                                                    const std::string &            call_id_key,
                                                    const std::string &            gen_call_id_key);
 
-    common_peg_parser build_json_tools_flat_keys(const common_json &   tools,
+    common_peg_parser build_json_tools_flat_keys(const nlohmann::ordered_json &   tools,
                                                  const std::string &              effective_name_key,
                                                  const std::string &              effective_args_key,
                                                  const std::string &              call_id_key,

common/chat.h

@@ -8,7 +8,7 @@
 #include "jinja/runtime.h"
 #include "jinja/caps.h"
 
-#include "json.h"
+#include "nlohmann/json_fwd.hpp"
 
 #include <chrono>
 #include <functional>
@@ -17,6 +17,7 @@
 #include <vector>
 
 using chat_template_caps = jinja::caps;
+using json = nlohmann::ordered_json;
 
 struct common_chat_templates;
 
@@ -86,7 +87,7 @@ struct common_chat_msg {
     std::string                               tool_name;
     std::string                               tool_call_id;
 
-    common_json to_json_oaicompat(bool concat_typed_text = false) const;
+    nlohmann::ordered_json to_json_oaicompat(bool concat_typed_text = false) const;
 
     std::string render_content(const std::string & delimiter = "\n\n") const;
 
@@ -210,7 +211,7 @@ struct common_chat_msg_delimiters {
     // split tokens into message spans. skips maps a start index to a length of a region to jump over without matching
     common_chat_msg_spans split(const llama_tokens & tokens, const std::map<size_t, size_t> & skips = {}) const;
 
-    common_json to_json() const;
+    nlohmann::ordered_json to_json() const;
 };
 
 struct common_chat_tool {
@@ -282,31 +283,6 @@ struct common_chat_params {
     common_chat_msg_delimiters          message_delimiters;
 };
 
-struct common_chat_input {
-    std::string              text;
-    std::vector<llama_token> tokens;
-
-    common_chat_input() = default;
-
-    // plain text, with no tokens
-    explicit common_chat_input(std::string text) : text(std::move(text)), tokens(this->text.size(), LLAMA_TOKEN_NULL) {}
-
-    size_t size() const { return text.size(); }
-    bool empty() const { return text.empty(); }
-
-    void append(const std::string & piece, llama_token token);
-    void append(const common_chat_input & chunk);
-
-    void prepend(const std::string & prefix);
-    void prepend(const common_chat_input & prefix);
-
-    void truncate(size_t pos);
-
-    common_chat_input substr(size_t pos, size_t n = std::string::npos) const;
-};
-
-common_chat_input common_chat_input_tokenize(const llama_vocab * vocab, const std::string & text);
-
 // per-message parsing syntax
 // should be derived from common_chat_params
 struct common_chat_parser_params {
@@ -314,7 +290,7 @@ 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;
-    common_chat_input       generation_prompt;
+    std::string             generation_prompt;
     bool                    parse_tool_calls     = true;
     bool                    is_continuation      = false;
     bool                    echo                 = false;  // Include assistant prefilled msg in output
@@ -323,7 +299,7 @@ struct common_chat_parser_params {
     common_chat_parser_params() = default;
     common_chat_parser_params(const common_chat_params & chat_params) {
         format  = chat_params.format;
-        generation_prompt = common_chat_input(chat_params.generation_prompt);
+        generation_prompt = chat_params.generation_prompt;
     }
 };
 
@@ -362,8 +338,8 @@ std::string common_chat_format_example(const struct common_chat_templates *
                                        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 common_chat_input & input, bool is_partial, const common_chat_parser_params & params);
-common_chat_msg common_chat_peg_parse(const common_peg_arena & src_parser, const common_chat_input & input, bool is_partial, const common_chat_parser_params & params);
+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);
@@ -374,19 +350,16 @@ common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::strin
 bool common_chat_templates_support_enable_thinking(const common_chat_templates * 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 common_json & messages);
+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 common_json & tools);
+std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const nlohmann::ordered_json & tools);
 
-common_chat_continuation common_chat_continuation_parse(const common_json & value);
+common_chat_continuation common_chat_continuation_parse(const nlohmann::ordered_json & value);
 
 // DEPRECATED: only used in tests
-common_json common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msgs, bool concat_typed_text = false);
+nlohmann::ordered_json common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msgs, bool concat_typed_text = false);
 
-common_json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools);
-
-// The parameters schema of a function tool. A tool without parameters, or with an empty {}, takes zero arguments.
-common_json common_chat_tool_parameters(const common_json & function);
+nlohmann::ordered_json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools);
 
 // 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);
@@ -413,4 +386,4 @@ struct common_chat_prompt_preset {
 
 common_chat_prompt_preset common_chat_get_asr_prompt(const common_chat_templates * chat_templates);
 
-common_chat_msg_delimiters common_chat_msg_delimiters_parse(const common_json & delimiters);
+common_chat_msg_delimiters common_chat_msg_delimiters_parse(const nlohmann::ordered_json & delimiters);

common/common.cpp

@@ -1,12 +1,8 @@
 #include "ggml.h"
-#include "ggml-cpp.h"
 #include "gguf.h"
 
 #include "build-info.h"
 #include "common.h"
-
-#include "../src/llama-ext.h"
-
 #include "fit.h"
 #include "log.h"
 #include "llama.h"
@@ -50,10 +46,11 @@
 #include <io.h>
 #else
 #include <sys/ioctl.h>
+#include <sys/stat.h>
 #include <unistd.h>
 #endif
 
-#if !defined(_WIN32)
+#if defined(__linux__)
 #include <sys/types.h>
 #include <pwd.h>
 #endif
@@ -405,11 +402,10 @@ void common_params_print_info(const common_params & params, bool print_devices)
 #endif
     COM_TRC("%s: build %d (%s) with %s for %s%s\n", __func__, llama_build_number(), llama_commit(), llama_compiler(), llama_build_target(), build_type);
 
-    const int verbosity = common_log_get_verbosity_thold();
-    COM_INF("%s: verbosity = %d (adjust with the `-lv N` CLI arg)\n", __func__, verbosity);
+    COM_INF("%s: verbosity = %d (adjust with the `-lv N` CLI arg)\n", __func__, 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 && verbosity >= LOG_LEVEL_TRACE) {
+    if (print_devices) {
         COM_TRC("%s", "device_info:\n");
         for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
             auto * dev = ggml_backend_dev_get(i);
@@ -617,6 +613,34 @@ std::string string_from(const struct llama_context * ctx, const std::vector<llam
     return buf.str();
 }
 
+std::string string_from(const struct llama_context * ctx, const struct llama_batch & batch) {
+    std::stringstream buf;
+
+    buf << "[ ";
+
+    bool first = true;
+    for (int i = 0; i < batch.n_tokens; ++i) {
+        if (!first) {
+            buf << ", ";
+        } else {
+            first = false;
+        }
+
+        auto detokenized = common_token_to_piece(ctx, batch.token[i]);
+
+        buf << "\n"          << std::to_string(i)
+            << ", token '"   << detokenized << "'"
+            << ", pos "      << std::to_string(batch.pos[i])
+            << ", n_seq_id " << std::to_string(batch.n_seq_id[i])
+            << ", seq_id "   << std::to_string(batch.seq_id[i][0])
+            << ", logits "   << std::to_string(batch.logits[i]);
+    }
+
+    buf << " ]";
+
+    return buf.str();
+}
+
 void string_process_escapes(std::string & input) {
     std::size_t input_len = input.length();
     std::size_t output_idx = 0;
@@ -875,7 +899,7 @@ bool fs_validate_filename(const std::string & filename, bool allow_subdirs) {
 
 
 #ifdef _WIN32
-std::wstring utf8_to_wstring(const std::string & str) {
+static std::wstring utf8_to_wstring(const std::string & str) {
     if (str.empty()) {
         return std::wstring();
     }
@@ -891,52 +915,82 @@ std::wstring utf8_to_wstring(const std::string & str) {
 
     return wstr;
 }
-
-std::string wstring_to_utf8(const std::wstring & str) {
-    if (str.empty()) {
-        return std::string();
-    }
-
-    int size = WideCharToMultiByte(CP_UTF8, 0, str.c_str(), (int)str.size(), NULL, 0, NULL, NULL);
-
-    if (size <= 0) {
-        return std::string();
-    }
-
-    std::string utf8(size, 0);
-    WideCharToMultiByte(CP_UTF8, 0, str.c_str(), (int)str.size(), &utf8[0], size, NULL, NULL);
-
-    return utf8;
-}
 #endif
 
-// returns the path as a UTF-8 string, preserving its separators
-std::string fs_path_to_utf8(const std::filesystem::path & path) {
-    const auto value = path.u8string();
-    return std::string(value.begin(), value.end());
-}
+// returns true if successful, false otherwise
+bool fs_create_directory_with_parents(const std::string & path) {
+#ifdef _WIN32
+    std::wstring wpath = utf8_to_wstring(path);
 
-void fs_write_atomic(const std::filesystem::path & path, const std::string & data) {
-    std::error_code ec;
-    std::filesystem::path path_tmp = path;
-    path_tmp += ".tmp";
-
-    if (path.has_parent_path()) {
-        std::filesystem::create_directories(path.parent_path(), ec);
+    // if the path already exists, check whether it's a directory
+    const DWORD attributes = GetFileAttributesW(wpath.c_str());
+    if ((attributes != INVALID_FILE_ATTRIBUTES) && (attributes & FILE_ATTRIBUTE_DIRECTORY)) {
+        return true;
     }
 
-    std::ofstream file(path_tmp, std::ios::binary);
-    file << data;
-    file.close();
+    size_t pos_slash = 0;
 
-    if (!file.fail()) {
-        std::filesystem::rename(path_tmp, path, ec);
+    // process path from front to back, procedurally creating directories
+    while ((pos_slash = path.find('\\', pos_slash)) != std::string::npos) {
+        const std::wstring subpath = wpath.substr(0, pos_slash);
+
+        pos_slash += 1;
+
+        // skip the drive letter, in some systems it can return an access denied error
+        if (subpath.length() == 2 && subpath[1] == ':') {
+            continue;
+        }
+
+        const bool success = CreateDirectoryW(subpath.c_str(), NULL);
+
+        if (!success) {
+            const DWORD error = GetLastError();
+
+            // if the path already exists, ensure that it's a directory
+            if (error == ERROR_ALREADY_EXISTS) {
+                const DWORD attributes = GetFileAttributesW(subpath.c_str());
+                if (attributes == INVALID_FILE_ATTRIBUTES || !(attributes & FILE_ATTRIBUTE_DIRECTORY)) {
+                    return false;
+                }
+            } else {
+                return false;
+            }
+        }
     }
 
-    if (file.fail() || ec) {
-        std::filesystem::remove(path_tmp, ec);
-        throw std::runtime_error("failed to write file: " + fs_path_to_utf8(path));
+    return true;
+#else
+    // if the path already exists, check whether it's a directory
+    struct stat info;
+    if (stat(path.c_str(), &info) == 0) {
+        return S_ISDIR(info.st_mode);
     }
+
+    size_t pos_slash = 1; // skip leading slashes for directory creation
+
+    // process path from front to back, procedurally creating directories
+    while ((pos_slash = path.find('/', pos_slash)) != std::string::npos) {
+        const std::string subpath = path.substr(0, pos_slash);
+        struct stat info;
+
+        // if the path already exists, ensure that it's a directory
+        if (stat(subpath.c_str(), &info) == 0) {
+            if (!S_ISDIR(info.st_mode)) {
+                return false;
+            }
+        } else {
+            // create parent directories
+            const int ret = mkdir(subpath.c_str(), 0755);
+            if (ret != 0) {
+                return false;
+            }
+        }
+
+        pos_slash += 1;
+    }
+
+    return true;
+#endif // _WIN32
 }
 
 bool fs_is_directory(const std::string & path) {
@@ -961,91 +1015,172 @@ void common_set_env(const std::string & name, const std::string & value) {
 #endif
 }
 
-std::filesystem::path common_get_path_from_env(const std::string & name) {
-#if defined(_WIN32)
-    const std::wstring wname = utf8_to_wstring(name);
-    const wchar_t * wvalue = _wgetenv(wname.c_str());
-    return wvalue ? std::filesystem::path(wvalue) : std::filesystem::path();
-#else
-    const char * value = std::getenv(name.c_str());
-    return value ? std::filesystem::path(value) : std::filesystem::path();
-#endif
-}
-
-#if !defined(_WIN32)
-static std::filesystem::path get_home_directory() {
-    std::filesystem::path home = common_get_path_from_env("HOME");
-    if (!home.empty()) {
-        return home;
-    }
-    const struct passwd * pw = getpwuid(getuid());
-    if (!pw || !pw->pw_dir || !*pw->pw_dir) {
-        throw std::runtime_error("Failed to find $HOME directory");
-    }
-    return pw->pw_dir;
-}
-#endif
-
-std::filesystem::path fs_get_cache_directory() {
-    std::filesystem::path cache_directory = common_get_path_from_env("LLAMA_CACHE");
-    if (!cache_directory.empty()) {
-        return cache_directory;
-    }
-#if defined(_WIN32)
-    cache_directory = common_get_path_from_env("LOCALAPPDATA");
+std::string fs_get_cache_directory() {
+    std::string cache_directory = "";
+    auto ensure_trailing_slash = [](std::string p) {
+        // Make sure to add trailing slash
+        if (p.empty() || p.back() != DIRECTORY_SEPARATOR) {
+            p += DIRECTORY_SEPARATOR;
+        }
+        return p;
+    };
+    cache_directory = common_get_env("LLAMA_CACHE");
     if (cache_directory.empty()) {
-        throw std::runtime_error("Failed to find %LOCALAPPDATA% directory");
-    }
+#if defined(__linux__) || defined(__FreeBSD__) || defined(_AIX) || \
+        defined(__OpenBSD__) || defined(__NetBSD__)
+        const std::string xdg_cache_home = common_get_env("XDG_CACHE_HOME");
+        const std::string home           = common_get_env("HOME");
+        if (!xdg_cache_home.empty()) {
+            cache_directory = xdg_cache_home;
+        } else if (!home.empty()) {
+            cache_directory = home + "/.cache/";
+        } else {
+#if defined(__linux__)
+            /* no $HOME is defined, fallback to getpwuid */
+            struct passwd *pw = getpwuid(getuid());
+            if ((!pw) || (!pw->pw_dir)) {
+                throw std::runtime_error("Failed to find $HOME directory");
+            }
+
+            cache_directory = std::string(pw->pw_dir) + std::string("/.cache/");
+#else /* defined(__linux__) */
+            throw std::runtime_error("Failed to find $HOME directory");
+#endif /* defined(__linux__) */
+        }
 #elif defined(__APPLE__)
-    cache_directory = get_home_directory() / "Library/Caches";
+        cache_directory = common_get_env("HOME");
+        if (cache_directory.empty()) {
+            throw std::runtime_error("Failed to find $HOME directory");
+        }
+        cache_directory += "/Library/Caches/";
+#elif defined(_WIN32)
+        cache_directory = common_get_env("LOCALAPPDATA");
+        if (cache_directory.empty()) {
+            throw std::runtime_error("Failed to find %LOCALAPPDATA% directory");
+        }
+#elif defined(__EMSCRIPTEN__)
+        GGML_ABORT("not implemented on this platform");
 #else
-    cache_directory = common_get_path_from_env("XDG_CACHE_HOME");
-    if (cache_directory.empty()) {
-        cache_directory = get_home_directory() / ".cache";
-    }
+#  error Unknown architecture
 #endif
-    return cache_directory / "llama.cpp";
+        cache_directory = ensure_trailing_slash(cache_directory);
+        cache_directory += "llama.cpp";
+    }
+    return ensure_trailing_slash(cache_directory);
 }
 
-std::filesystem::path fs_get_config_directory() {
-    std::filesystem::path config_directory;
-#if defined(_WIN32)
-    config_directory = common_get_path_from_env("APPDATA");
+std::string fs_get_config_directory() {
+    std::string config_directory = "";
+    auto ensure_trailing_slash = [](std::string p) {
+        if (p.empty() || p.back() != DIRECTORY_SEPARATOR) {
+            p += DIRECTORY_SEPARATOR;
+        }
+        return p;
+    };
+#if defined(__linux__) || defined(__FreeBSD__) || defined(_AIX) || \
+        defined(__OpenBSD__) || defined(__NetBSD__) || defined(__APPLE__)
+    const std::string xdg_config_home = common_get_env("XDG_CONFIG_HOME");
+    const std::string home            = common_get_env("HOME");
+    if (!xdg_config_home.empty()) {
+        config_directory = xdg_config_home;
+    } else if (!home.empty()) {
+        config_directory = home + "/.config/";
+    } else {
+#if defined(__linux__)
+        /* no $HOME is defined, fallback to getpwuid */
+        struct passwd *pw = getpwuid(getuid());
+        if ((!pw) || (!pw->pw_dir)) {
+            throw std::runtime_error("Failed to find $HOME directory");
+        }
+
+        config_directory = std::string(pw->pw_dir) + std::string("/.config/");
+#else
+        throw std::runtime_error("Failed to find $HOME directory");
+#endif
+    }
+#elif defined(_WIN32)
+    config_directory = common_get_env("APPDATA");
     if (config_directory.empty()) {
         throw std::runtime_error("Failed to find %APPDATA% directory");
     }
+#elif defined(__EMSCRIPTEN__)
+    // caller decides what to do when there is no config directory
+    throw std::runtime_error("not implemented on this platform");
 #else
-    config_directory = common_get_path_from_env("XDG_CONFIG_HOME");
-    if (config_directory.empty()) {
-        config_directory = get_home_directory() / ".config";
-    }
+#  error Unknown architecture
 #endif
-    return config_directory / "llama.cpp";
+    config_directory = ensure_trailing_slash(config_directory);
+    config_directory += "llama.cpp";
+    return ensure_trailing_slash(config_directory);
 }
 
-std::filesystem::path fs_get_cache_file(const std::string & filename) {
+std::string fs_get_cache_file(const std::string & filename) {
     GGML_ASSERT(filename.find(DIRECTORY_SEPARATOR) == std::string::npos);
-    const std::filesystem::path cache_directory = fs_get_cache_directory();
-    std::error_code ec;
-    common_create_directories(cache_directory, ec);
-    if (ec) {
-        throw std::runtime_error("failed to create cache directory: " + fs_path_to_utf8(cache_directory));
+    std::string cache_directory = fs_get_cache_directory();
+    const bool success = fs_create_directory_with_parents(cache_directory);
+    if (!success) {
+        throw std::runtime_error("failed to create cache directory: " + cache_directory);
     }
-    return cache_directory / std::filesystem::u8path(filename);
+    return cache_directory + filename;
+}
+
+std::vector<common_file_info> fs_list(const std::string & path, bool include_directories) {
+    std::vector<common_file_info> files;
+    if (path.empty()) return files;
+
+    std::filesystem::path dir(path);
+    if (!std::filesystem::exists(dir) || !std::filesystem::is_directory(dir)) {
+        return files;
+    }
+
+    for (const auto & entry : std::filesystem::directory_iterator(dir)) {
+        try {
+            // Only include regular files (skip directories)
+            const auto & p = entry.path();
+            if (std::filesystem::is_regular_file(p)) {
+                common_file_info info;
+                info.path   = p.string();
+                info.name   = p.filename().string();
+                info.is_dir = false;
+                try {
+                    info.size = static_cast<size_t>(std::filesystem::file_size(p));
+                } catch (const std::filesystem::filesystem_error &) {
+                    info.size = 0;
+                }
+                files.push_back(std::move(info));
+            } else if (include_directories && std::filesystem::is_directory(p)) {
+                common_file_info info;
+                info.path   = p.string();
+                info.name   = p.filename().string();
+                info.size   = 0; // Directories have no size
+                info.is_dir = true;
+                files.push_back(std::move(info));
+            }
+        } catch (const std::filesystem::filesystem_error &) {
+            // skip entries we cannot inspect
+            continue;
+        }
+    }
+
+    return files;
+}
+
+std::ifstream fs_open_ifstream(const std::string & fname, std::ios_base::openmode mode) {
+#ifdef _WIN32
+    int wlen = MultiByteToWideChar(CP_UTF8, 0, fname.c_str(), -1, NULL, 0);
+    if (!wlen) { return std::ifstream(); }
+    std::vector<wchar_t> wfname(wlen);
+    (void)MultiByteToWideChar(CP_UTF8, 0, fname.c_str(), -1, wfname.data(), wlen);
+    return std::ifstream(wfname.data(), mode);
+#else
+    return std::ifstream(fname, mode);
+#endif
 }
 
 //
 // TTY utils
 //
 
-bool common_is_tty(FILE * file) {
-#if defined(_WIN32)
-    return _isatty(_fileno(file));
-#else
-    return isatty(fileno(file));
-#endif
-}
-
 bool tty_can_use_colors() {
     // Check NO_COLOR environment variable (https://no-color.org/)
     if (const char * no_color = std::getenv("NO_COLOR")) {
@@ -1063,21 +1198,10 @@ bool tty_can_use_colors() {
 
     // Check if stdout and stderr are connected to a terminal
     // We check both because log messages can go to either
-    return common_is_tty(stdout) || common_is_tty(stderr);
-}
+    bool stdout_is_tty = isatty(fileno(stdout));
+    bool stderr_is_tty = isatty(fileno(stderr));
 
-bool tty_enable_ansi() {
-#if defined(_WIN32)
-    // a Windows console renders ANSI sequences only in virtual terminal mode, pipes and files take them as is
-    for (DWORD id : { STD_OUTPUT_HANDLE, STD_ERROR_HANDLE }) {
-        HANDLE h    = GetStdHandle(id);
-        DWORD  mode = 0;
-        if (GetConsoleMode(h, &mode) && !SetConsoleMode(h, mode | ENABLE_VIRTUAL_TERMINAL_PROCESSING)) {
-            return false;
-        }
-    }
-#endif
-    return true;
+    return stdout_is_tty || stderr_is_tty;
 }
 
 //
@@ -1162,74 +1286,6 @@ struct common_init_result::impl {
     std::vector<llama_sampler_seq_config> samplers_seq_config;
 };
 
-static const std::map<common_decision_type, std::string> COMMON_DECISION_TYPE_NAMES = {
-    { COMMON_DECISION_TYPE_OPENJEV,        "openjev"       },
-    { COMMON_DECISION_TYPE_LEV,            "lev"           },
-    { COMMON_DECISION_TYPE_KEV,            "kev"           },
-    { COMMON_DECISION_TYPE_NIMBLE,         "nimble"        },
-    { COMMON_DECISION_TYPE_LAYA,           "laya"          },
-    { COMMON_DECISION_TYPE_CLEF,           "clef"          },
-    { COMMON_DECISION_TYPE_PPLX_DECIDER,   "pplx-decider"  },
-    { COMMON_DECISION_TYPE_LFM2_D1,        "lfm2-d1"       },
-    { COMMON_DECISION_TYPE_LFM2_D1_OMNI,   "lfm2-d1-omni"  },
-};
-
-static common_decision_type common_decision_type_from_string(const std::string & str) {
-    for (const auto & pair : COMMON_DECISION_TYPE_NAMES) {
-        if (pair.second == str) {
-            return pair.first;
-        }
-    }
-    return COMMON_DECISION_TYPE_UNKNOWN;
-}
-
-common_decision_type common_get_decision_type(const struct llama_model * model) {
-    char buf[64];
-    if (llama_model_meta_val_str(model, "general.architecture", buf, sizeof(buf)) < 0) {
-        return COMMON_DECISION_TYPE_NONE;
-    }
-    const std::string key = std::string(buf) + ".decision.type";
-    if (llama_model_meta_val_str(model, key.c_str(), buf, sizeof(buf)) < 0) {
-        return COMMON_DECISION_TYPE_NONE;
-    }
-    return common_decision_type_from_string(buf);
-}
-
-common_decision_type common_get_decision_type(const std::string & fname) {
-    struct gguf_init_params gguf_params = {
-        /* .no_alloc = */ true,
-        /* .ctx      = */ nullptr,
-    };
-
-    gguf_context_ptr gguf_ctx(gguf_init_from_file(fname.c_str(), gguf_params));
-    if (!gguf_ctx) {
-        return COMMON_DECISION_TYPE_UNKNOWN; // missing or unreadable file
-    }
-
-    std::string arch;
-    const int64_t arch_id = gguf_find_key(gguf_ctx.get(), "general.architecture");
-    if (arch_id < 0) {
-        return COMMON_DECISION_TYPE_UNKNOWN; // no architecture in the metadata
-    }
-    if (gguf_get_kv_type(gguf_ctx.get(), arch_id) != GGUF_TYPE_STRING) {
-        return COMMON_DECISION_TYPE_UNKNOWN; // malformed metadata
-    }
-    arch = gguf_get_val_str(gguf_ctx.get(), arch_id);
-    if (arch.empty()) {
-        return COMMON_DECISION_TYPE_UNKNOWN;
-    }
-
-    const std::string key = arch + ".decision.type";
-    const int64_t type_id = gguf_find_key(gguf_ctx.get(), key.c_str());
-    if (type_id < 0) {
-        return COMMON_DECISION_TYPE_NONE;
-    }
-    if (gguf_get_kv_type(gguf_ctx.get(), type_id) != GGUF_TYPE_STRING) {
-        return COMMON_DECISION_TYPE_UNKNOWN; // malformed metadata
-    }
-    return common_decision_type_from_string(gguf_get_val_str(gguf_ctx.get(), type_id));
-}
-
 common_init_result::common_init_result(common_params & params, bool model_only) :
     pimpl(new impl{}) {
     auto mparams = common_model_params_to_llama(params);
@@ -1238,34 +1294,11 @@ common_init_result::common_init_result(common_params & params, bool model_only)
     if (params.fit_params) {
         COM_TRC("%s", "fitting params to device memory ...\n");
         COM_TRC("%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");
-
-        // the draft context is created from the same base params and follows the main context, fit both together
-        const bool has_draft = params.speculative.has_dft();
-        const bool spec_mtp  = std::find(params.speculative.types.begin(), params.speculative.types.end(),
-            COMMON_SPECULATIVE_TYPE_DRAFT_MTP) != params.speculative.types.end();
-
-        common_params params_dft = common_base_params_to_speculative(params);
-
-        auto mparams_dft = common_model_params_to_llama(params_dft);
-        auto cparams_dft = common_context_params_to_llama(params_dft);
-        if (spec_mtp) {
-            cparams_dft.ctx_type = LLAMA_CONTEXT_TYPE_MTP;
-        }
-        cparams_dft.n_rs_seq = 0;
-
-        const common_fit_extra_model extra = {
-            /*.path_model   =*/ params_dft.model.path.c_str(),
-            /*.mparams      =*/ &mparams_dft,
-            /*.cparams      =*/ &cparams_dft,
-            /*.shares_model =*/ !has_draft, // an MTP context runs on the weights of the main model
-        };
-
         common_fit_params(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,
-            has_draft || spec_mtp ? &extra : nullptr,
             params.verbosity >= LOG_LEVEL_DEBUG ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
     }
 
@@ -1282,30 +1315,6 @@ common_init_result::common_init_result(common_params & params, bool model_only)
 
     const llama_vocab * vocab = llama_model_get_vocab(model);
 
-    // these decision models return a score for each token via the embeddings output
-    // TODO: maybe improve this in the future
-    const auto decision_type = common_get_decision_type(model);
-    if (decision_type == COMMON_DECISION_TYPE_LAYA || decision_type == COMMON_DECISION_TYPE_KEV || decision_type == COMMON_DECISION_TYPE_CLEF ||
-        decision_type == COMMON_DECISION_TYPE_LFM2_D1_OMNI) {
-        params.embedding    = true;
-        params.pooling_type = LLAMA_POOLING_TYPE_NONE;
-
-        cparams.embeddings            = true;
-        cparams.pooling_type          = LLAMA_POOLING_TYPE_NONE;
-        cparams.n_outputs_max         = cparams.n_batch;
-        cparams.n_outputs_max_per_seq = 1;
-
-        LOG_INF("%s", "decision model reads the embeddings output, enabling embedding mode\n");
-    }
-
-    // embeddings need the whole batch in one ubatch, so n_batch must not be larger than n_ubatch
-    // (server.cpp does this check for --embedding, but before the model is loaded)
-    if (cparams.embeddings && cparams.n_batch > cparams.n_ubatch) {
-        LOG_WRN("embeddings enabled: setting n_batch = n_ubatch = %u\n", cparams.n_ubatch);
-        cparams.n_batch = cparams.n_ubatch;
-        params.n_batch  = params.n_ubatch;
-    }
-
     // load and optionally apply lora adapters
     for (auto & la : params.lora_adapters) {
         llama_adapter_lora_ptr lora;
@@ -1494,8 +1503,7 @@ common_init_result_ptr common_init_from_params(common_params & params, bool mode
         }
 
         if (llama_model_has_encoder(model)) {
-            common_batch batch = common_batch_get_one(lctx, tmp);
-            llama_process(lctx, LLAMA_PROCESS_TYPE_ENCODE, batch.get());
+            llama_encode(lctx, llama_batch_get_one(tmp.data(), tmp.size()));
             llama_token decoder_start_token_id = llama_model_decoder_start_token(model);
             if (decoder_start_token_id == LLAMA_TOKEN_NULL) {
                 decoder_start_token_id = bos;
@@ -1504,9 +1512,7 @@ common_init_result_ptr common_init_from_params(common_params & params, bool mode
             tmp.push_back(decoder_start_token_id);
         }
         if (llama_model_has_decoder(model)) {
-            tmp.resize(std::min(tmp.size(), (size_t) params.n_batch));
-            common_batch batch = common_batch_get_one(lctx, tmp);
-            llama_process(lctx, LLAMA_PROCESS_TYPE_DECODE, batch.get());
+            llama_decode(lctx, llama_batch_get_one(tmp.data(), std::min(tmp.size(), (size_t) params.n_batch)));
         }
         llama_memory_clear(llama_get_memory(lctx), true);
         llama_synchronize(lctx);
@@ -1556,11 +1562,6 @@ common_context_seq_rm_type common_context_can_seq_rm(llama_context * ctx) {
         return COMMON_CONTEXT_SEQ_RM_TYPE_NO;
     }
 
-    if (llama_n_rs_seq(ctx) > 0) {
-        COM_TRC("%s", "the context supports bounded partial sequence removal\n");
-        return COMMON_CONTEXT_SEQ_RM_TYPE_RS;
-    }
-
     common_context_seq_rm_type res = COMMON_CONTEXT_SEQ_RM_TYPE_PART;
 
     llama_memory_clear(mem, true);
@@ -1570,17 +1571,19 @@ common_context_seq_rm_type common_context_can_seq_rm(llama_context * ctx) {
     tmp.push_back(0);
     tmp.push_back(0);
 
-    int ret;
-    {
-        common_batch batch = common_batch_get_one(ctx, tmp);
-        ret = llama_process(ctx, LLAMA_PROCESS_TYPE_DECODE, batch.get());
-    }
+    int ret = llama_decode(ctx, llama_batch_get_one(tmp.data(), tmp.size()));
     if (ret != 0) {
-        COM_ERR("llama_process() failed: %d\n", ret);
+        COM_ERR("llama_decode() failed: %d\n", ret);
         res = COMMON_CONTEXT_SEQ_RM_TYPE_NO;
         goto done;
     }
 
+    if (llama_n_rs_seq(ctx) > 0) {
+        COM_TRC("%s", "the context supports bounded partial sequence removal\n");
+        res = COMMON_CONTEXT_SEQ_RM_TYPE_RS;
+        goto done;
+    }
+
     // try to remove the last tokens
     if (!llama_memory_seq_rm(mem, 0, 1, -1)) {
         COM_TRC("%s", "the context does not support partial sequence removal\n");
@@ -1661,7 +1664,6 @@ struct llama_model_params common_model_params_to_llama(common_params & params) {
     mparams.main_gpu        = params.main_gpu;
     mparams.split_mode      = params.split_mode;
     mparams.load_mode       = params.load_mode;
-    mparams.lazy_mode = params.lazy_mode;
     mparams.tensor_split    = params.tensor_split;
     mparams.check_tensors   = params.check_tensors;
     mparams.use_extra_bufts = !params.no_extra_bufts;
@@ -1684,7 +1686,7 @@ 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;
-    mparams.load_mtp                    = params.load_mtp || std::find(params.speculative.types.begin(), params.speculative.types.end(), COMMON_SPECULATIVE_TYPE_DRAFT_MTP) != params.speculative.types.end();
+    mparams.load_mtp                    = std::find(params.speculative.types.begin(), params.speculative.types.end(), COMMON_SPECULATIVE_TYPE_DRAFT_MTP) != params.speculative.types.end();
 
     return mparams;
 }
@@ -1725,8 +1727,6 @@ struct llama_context_params common_context_params_to_llama(const common_params &
     cparams.type_k = params.cache_type_k;
     cparams.type_v = params.cache_type_v;
 
-    cparams.moe_cache_size = params.moe_cache_size;
-
     return cparams;
 }
 
@@ -1778,8 +1778,6 @@ void common_threadpools::init(llama_context * ctx, const common_params & params)
     struct ggml_threadpool_params tpp =
             ggml_threadpool_params_from_cpu_params(params.cpuparams);
 
-    // each pool needs to match the respective n_threads exactly
-    // see: https://github.com/ggml-org/llama.cpp/pull/27138#issuecomment-5332307332
     if (!ggml_threadpool_params_match(&tpp, &tpp_batch)) {
         threadpool_batch = ggml_threadpool_new_fn(&tpp_batch);
         if (!threadpool_batch) {
@@ -1802,6 +1800,33 @@ void common_threadpools::init(llama_context * ctx, const common_params & params)
     llama_attach_threadpool(ctx, threadpool, threadpool_batch);
 }
 
+//
+// Batch utils
+//
+
+void common_batch_clear(struct llama_batch & batch) {
+    batch.n_tokens = 0;
+}
+
+void common_batch_add(
+                 struct llama_batch & batch,
+                        llama_token   id,
+                          llama_pos   pos,
+    const std::vector<llama_seq_id> & seq_ids,
+                               bool   logits) {
+    GGML_ASSERT(batch.seq_id[batch.n_tokens] && "llama_batch size exceeded");
+
+    batch.token   [batch.n_tokens] = id;
+    batch.pos     [batch.n_tokens] = pos;
+    batch.n_seq_id[batch.n_tokens] = seq_ids.size();
+    for (size_t i = 0; i < seq_ids.size(); ++i) {
+        batch.seq_id[batch.n_tokens][i] = seq_ids[i];
+    }
+    batch.logits  [batch.n_tokens] = logits;
+
+    batch.n_tokens++;
+}
+
 //
 // Vocab utils
 //
@@ -2138,140 +2163,18 @@ float lr_opt::get_lr(float epoch) const {
 }
 
 bool common_replay_last_token(struct llama_context * ctx, llama_token last_token, int32_t pos) {
-    common_batch batch(ctx);
-    batch.add(last_token, pos, 0, true);
-
-    if (llama_process(ctx, LLAMA_PROCESS_TYPE_DECODE, batch.get())) {
+    llama_batch batch = llama_batch_get_one(&last_token, 1);
+    batch.pos = &pos;
+    if (llama_decode(ctx, batch)) {
         LOG_ERR("%s: failed to replay last token\n", __func__);
         return false;
     }
     return true;
 }
 
-common_batch::common_batch(llama_context * ctx) : batch(llama_batch_ext_init(ctx)) {
-    const auto rope_type = llama_model_rope_type(llama_get_model(ctx));
-    n_pos = rope_type == LLAMA_ROPE_TYPE_MROPE || rope_type == LLAMA_ROPE_TYPE_IMROPE ? GGML_MROPE_SECTIONS : 1;
-}
-
-void common_batch::clear() {
-    tokens.clear();
-}
-
-int32_t common_batch::add(llama_token id, llama_pos pos, llama_seq_id seq_id, bool output) {
-    tokens.push_back({ id, { pos, 0, 0, 0 }, seq_id, output, { nullptr, 0, 0 }, {} });
-    return size() - 1;
-}
-
-int32_t common_batch::add(llama_token id, llama_pos pos, const std::vector<llama_seq_id> & seq_ids, bool output) {
-    GGML_ASSERT(!seq_ids.empty());
-
-    const int32_t idx = add(id, pos, seq_ids[0], output);
-    for (size_t s = 1; s < seq_ids.size(); ++s) {
-        add_seq(idx, seq_ids[s]);
-    }
-    return idx;
-}
-
-bool common_batch::add_seq(int32_t idx, llama_seq_id seq_id) {
-    if (idx < 0 || idx >= size()) {
-        return false;
-    }
-    tokens[idx].seq_ids_extra.push_back(seq_id);
-    return true;
-}
-
-bool common_batch::set_output(int32_t idx, bool value) {
-    if (idx < 0 || idx >= size()) {
-        return false;
-    }
-    tokens[idx].output = value;
-    return true;
-}
-
-bool common_batch::set_embd(int32_t idx, llama_embd embd) {
-    if (idx < 0 || idx >= size() || tokens[idx].embd.data != nullptr) {
-        return false;
-    }
-    tokens[idx].embd = embd;
-    return true;
-}
-
-int32_t common_batch::add_embd(llama_embd embd, const llama_pos * pos, llama_seq_id seq_id, bool output) {
-    token t = { LLAMA_TOKEN_NULL, { 0, 0, 0, 0 }, seq_id, output, embd, {} };
-    for (int32_t j = 0; j < n_pos; ++j) {
-        t.pos[j] = pos[j];
-    }
-    tokens.push_back(t);
-    return size() - 1;
-}
-
-llama_batch_ext * common_batch::get_sub_batch(int32_t off, int32_t n) {
-    GGML_ASSERT(batch && "common_batch was not initialized with a context");
-    GGML_ASSERT(off >= 0 && n >= 0 && off + n <= size());
-
-    llama_batch_ext * res = batch.get();
-    llama_batch_ext_clear(res);
-
-    for (int32_t i = off; i < off + n; ++i) {
-        const token & t = tokens[i];
-
-        int32_t idx;
-        if (t.id != LLAMA_TOKEN_NULL) {
-            idx = llama_batch_ext_add_token(res, t.seq_id, t.id);
-            if (idx < 0) {
-                GGML_ABORT("%s: failed to add token %d at index %d (error %d, n = %d)\n", __func__, t.id, i, idx, n);
-            }
-            llama_batch_ext_set_pos(res, idx, t.pos.data());
-            if (t.embd.data && !llama_batch_ext_set_embd_token(res, idx, t.embd)) {
-                GGML_ABORT("%s: failed to set the embedding of token %d at index %d\n", __func__, t.id, i);
-            }
-        } else {
-            idx = llama_batch_ext_add_embd(res, t.seq_id, t.embd);
-            if (idx < 0) {
-                GGML_ABORT("%s: failed to add embedding at index %d (error %d, n = %d)\n", __func__, i, idx, n);
-            }
-            llama_batch_ext_set_pos(res, idx, t.pos.data());
-        }
-        GGML_ASSERT(idx == i - off);
-
-        for (const llama_seq_id seq_id : t.seq_ids_extra) {
-            if (!llama_batch_ext_add_seq(res, idx, seq_id)) {
-                GGML_ABORT("%s: failed to add seq %d to the entry at index %d\n", __func__, seq_id, i);
-            }
-        }
-        if (t.output) {
-            llama_batch_ext_set_output_logits(res, idx, true);
-        }
-        if (t.decision_order != 0) {
-            llama_batch_ext_set_decision_order(res, idx, (llama_decision_order) t.decision_order);
-        }
-    }
-
-    return res;
-}
-
-common_batch common_batch_get_one(llama_context * ctx, const llama_token * tokens, int32_t n_tokens) {
-    common_batch batch(ctx);
-
-    auto mem = llama_get_memory(ctx);
-    llama_pos pos = llama_memory_seq_pos_max(mem, 0) + 1; // -1 + 1 == 0 when the memory is empty
-
-    for (int32_t i = 0; i < n_tokens; ++i) {
-        const bool output = i == n_tokens - 1;
-        batch.add(tokens[i], pos, 0, output);
-        pos++;
-    }
-
-    return batch;
-}
-
-common_batch common_batch_get_one(llama_context * ctx, const llama_tokens & tokens) {
-    return common_batch_get_one(ctx, tokens.data(), (int32_t) tokens.size());
-}
-
 bool common_prompt_batch_decode(
               struct llama_context * ctx,
-                const llama_tokens & all_tokens,
+    const std::vector<llama_token> & all_tokens,
                                int   n_new,
                                int & n_past,
                                int   n_batch,
@@ -2292,9 +2195,7 @@ bool common_prompt_batch_decode(
         // Memory implementations in recurrent/hybrid models don't support removing tokens from their
         // memory, so we can't just remove the last token from the memory and replay the last token which
         // is the reason for this logic.
-        llama_tokens prefix_tokens(all_tokens.begin() + offset, all_tokens.begin() + offset + n_tokens_before_last);
-        common_batch batch_prefix = common_batch_get_one(ctx, prefix_tokens);
-        if (llama_process(ctx, LLAMA_PROCESS_TYPE_DECODE, batch_prefix.get())) {
+        if (llama_decode(ctx, llama_batch_get_one(const_cast<llama_token*>(all_tokens.data() + offset), n_tokens_before_last))) {
             COM_ERR("%s", "failed to eval\n");
             return false;
         }
@@ -2303,18 +2204,18 @@ bool common_prompt_batch_decode(
         llama_state_save_file(ctx, state_path.data(), all_tokens.data(), all_tokens.size());
         COM_INF("saved session before last token to %s, n_new = %zu\n", state_path.data(), all_tokens.size());
 
-        common_batch batch_last(ctx);
-        batch_last.add(all_tokens.back(), n_past, 0, true);
+        llama_token last_token = all_tokens.back();
+        llama_batch batch = llama_batch_get_one(&last_token, 1);
+        int32_t pos = n_past;
+        batch.pos = &pos;
 
-        if (llama_process(ctx, LLAMA_PROCESS_TYPE_DECODE, batch_last.get())) {
+        if (llama_decode(ctx, batch)) {
             COM_ERR("%s", "failed to eval last token\n");
             return false;
         }
         n_past++;
     } else {
-        llama_tokens new_tokens(all_tokens.begin() + offset, all_tokens.begin() + offset + n_new);
-        common_batch batch = common_batch_get_one(ctx, new_tokens);
-        if (llama_process(ctx, LLAMA_PROCESS_TYPE_DECODE, batch.get())) {
+        if (llama_decode(ctx, llama_batch_get_one(const_cast<llama_token*>(all_tokens.data() + offset), n_new))) {
             COM_ERR("%s", "failed to eval\n");
             return false;
         }
@@ -2388,36 +2289,40 @@ void common_prompt_checkpoint::update_dft(
     }
 }
 
-bool common_prompt_checkpoint::load_tgt(
+void common_prompt_checkpoint::load_tgt(
         llama_context * ctx,
         llama_seq_id seq_id,
         llama_state_seq_flags flags) const {
     if (ctx == nullptr) {
-        return true;
+        return;
     }
 
     if (data_tgt.empty()) {
-        return true;
+        return;
     }
 
     const size_t n = llama_state_seq_set_data_ext(ctx, data_tgt.data(), data_tgt.size(), seq_id, flags);
-    return n == data_tgt.size();
+    if (n != data_tgt.size()) {
+        GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", data_tgt.size(), n);
+    }
 }
 
-bool common_prompt_checkpoint::load_dft(
+void common_prompt_checkpoint::load_dft(
         llama_context * ctx,
         llama_seq_id seq_id,
         llama_state_seq_flags flags) const {
     if (ctx == nullptr) {
-        return true;
+        return;
     }
 
     if (data_dft.empty()) {
-        return true;
+        return;
     }
 
     const size_t n = llama_state_seq_set_data_ext(ctx, data_dft.data(), data_dft.size(), seq_id, flags);
-    return n == data_dft.size();
+    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() {