Merge branch 'master' into xsn/common_json

.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=2026.3
+ARG OPENVINO_VERSION_FULL=2026.3.0.22451.bd8d6542e3c
 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=v2.38.2
+ARG IGC_VERSION_FULL=2_2.38.2+22051
+ARG COMPUTE_RUNTIME_VERSION=26.27.39122.11
+ARG COMPUTE_RUNTIME_VERSION_FULL=26.27.39122.11-0
 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=v1.35.0
+ARG NPU_DRIVER_FULL=v1.35.0.20260722-29947505341
+ARG LIBZE1_VERSION=1.28.2-1~24.04~ppa1
 
 # 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 "$DEB" https://snapshot.ppa.launchpadcontent.net/kobuk-team/intel-graphics/ubuntu/20260606T100000Z/pool/main/l/level-zero-loader/libze1_${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

@@ -21,30 +21,68 @@ inputs:
 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
+      env:
+        CLEAR_KEY: ${{ inputs.key }}
+        CLEAR_OLDER: ${{ inputs.older }}
+        CLEAR_MIN: ${{ inputs.min }}
+        CLEAR_DRY_RUN: ${{ inputs.dry-run }}
       run: |
-        bash scripts/ccache-clear.sh \
-          --key "${{ inputs.key }}" \
-          --older "${{ inputs.older }}" \
-          --min "${{ inputs.min }}" \
-          ${{ inputs.dry-run == 'true' && '--dry-run' || '' }}
+        # Convert a duration (e.g. 90m, 1h, 1d, plain seconds) to seconds
+        to_seconds() {
+          local val="$1"
+          [[ "$val" =~ ^[0-9]+$ ]] && { echo "$val"; return 0; }
+          local num="${val%?}" unit="${val: -1}" mult
+          [[ "$num" =~ ^[0-9]+$ ]] || return 1
+          case "$unit" in
+            s) mult=1 ;;
+            m) mult=60 ;;
+            h) mult=3600 ;;
+            d) mult=86400 ;;
+            *) return 1 ;;
+          esac
+          echo $((num * mult))
+        }
+
+        [[ "$CLEAR_MIN" =~ ^[0-9]+$ ]] || { echo "Invalid min value: $CLEAR_MIN" >&2; exit 1; }
+        [[ "$CLEAR_DRY_RUN" =~ ^(true|false)$ ]] || { echo "Invalid dry-run value: $CLEAR_DRY_RUN" >&2; exit 1; }
+
+        CACHES=$(gh cache list --key "ccache-$CLEAR_KEY" --json id,key,createdAt --jq '.[] | [.createdAt, .id, .key] | @tsv' 2>/dev/null | LC_ALL=C sort)
+        if [ -z "$CACHES" ]; then
+          echo "No caches found with key prefix: $CLEAR_KEY"
+          exit 0
+        fi
+
+        TOTAL=$(( $(wc -l <<< "$CACHES") ))
+
+        echo "Found $TOTAL cache(s) with key prefix: $CLEAR_KEY (oldest first):"
+        while IFS=$'\t' read -r CREATED ID KEY; do
+          printf '  %s  %s  %s\n' "$CREATED" "$ID" "$KEY"
+        done <<< "$CACHES"
+
+        CUTOFF=""
+        if [ -n "$CLEAR_OLDER" ]; then
+          OLDER_SECONDS=$(to_seconds "$CLEAR_OLDER") || { echo "Invalid older value: $CLEAR_OLDER (expected e.g. 90m, 1h, 1d)" >&2; exit 1; }
+          CUTOFF=$(( $(date +%s) - OLDER_SECONDS ))
+        fi
+
+        # Caches are sorted oldest first
+        DELETED=0
+        while IFS=$'\t' read -r CREATED ID KEY; do
+          if [ -n "$CUTOFF" ] && [ "$(date -d "$CREATED" +%s)" -ge "$CUTOFF" ]; then
+            echo "Rest are not older than $CLEAR_OLDER, stopping"
+            break
+          fi
+          if [ $((TOTAL - DELETED - 1)) -lt "$CLEAR_MIN" ]; then
+            echo "Keeping at least $CLEAR_MIN cache(s), stopping"
+            break
+          fi
+          if [ "$CLEAR_DRY_RUN" = "true" ]; then
+            echo "Would delete cache: $ID ($KEY)"
+          else
+            echo "Deleting cache: $ID ($KEY)"
+            gh cache delete "$ID"
+          fi
+          DELETED=$((DELETED + 1))
+        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/windows-setup-cuda/action.yml

@@ -100,36 +100,36 @@ 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 +137,19 @@ 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/build-and-test-snapdragon.yml

@@ -29,7 +29,7 @@ concurrency:
 
 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:
@@ -59,7 +59,7 @@ 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:

.github/workflows/build-android.yml

@@ -33,7 +33,7 @@ env:
 
 jobs:
   default:
-    runs-on: ubuntu-24.04  # previously ubuntu-latest
+    runs-on: ubuntu-latest
 
     steps:
       - name: Clone
@@ -49,7 +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
 
@@ -59,7 +59,7 @@ 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:
@@ -93,7 +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"
@@ -110,7 +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
@@ -123,7 +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

@@ -22,8 +22,7 @@ on:
     types: [opened, synchronize, reopened]
     paths: [
       '.github/workflows/build-apple.yml',
-      'ggml/src/ggml-metal/**',
-      'ggml/src/ggml-rpc/**'
+      'ggml/src/ggml-metal/**'
     ]
 
 concurrency:
@@ -33,7 +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
@@ -48,19 +46,11 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: apple-arm64
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        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
@@ -75,32 +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
-          # ref: https://github.com/ggml-org/llama.cpp/pull/19802#issuecomment-4013704023
-          ctest -L main -E "test-llama-archs|test-save-load-state" --verbose --timeout 900
+          ctest -L main -E "test-llama-archs" --verbose --timeout 900
 
   macos-latest-x64:
     runs-on: macos-15-intel
@@ -111,19 +82,11 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: apple-x64
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        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
@@ -140,18 +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: |
@@ -212,6 +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: |
@@ -237,6 +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: |
@@ -267,6 +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

@@ -41,8 +41,8 @@ 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: "2026.3"
+      OPENVINO_VERSION_FULL: "2026.3.0.22451.bd8d6542e3c"
 
     steps:
       - name: Clone
@@ -69,8 +69,8 @@ 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: "2026.3"
+      OPENVINO_VERSION_FULL: "2026.3.0.22451.bd8d6542e3c"
 
     steps:
       - name: Clone

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

@@ -5,7 +5,7 @@ on:
 
 jobs:
   linux:
-    runs-on: [self-hosted, Linux, CPU]
+    runs-on: [self-hosted, Linux]
     steps:
       - uses: actions/checkout@v6
         with:

.github/workflows/build-cpu.yml

@@ -37,7 +37,6 @@ 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
@@ -63,10 +62,11 @@ jobs:
         uses: actions/checkout@v6
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: cpu-${{ matrix.os }}
-          save: false
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build Dependencies
         id: build_depends
@@ -89,16 +89,7 @@ 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
@@ -109,23 +100,11 @@ jobs:
             -DGGML_RPC=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: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
-        with:
-          key: cpu-${{ 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
@@ -138,6 +117,18 @@ jobs:
           ./bin/llama-convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf
           ./bin/llama-completion -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
 
+      # note: real deletion only on push to master (same condition as the ccache save),
+      #       dry-run otherwise (the token is read-only on PRs from forks)
+      - name: ccache-clear
+        uses: ./.github/actions/ccache-clear
+        env:
+          GH_TOKEN: ${{ github.token }}
+        with:
+          key: cpu-${{ matrix.os }}
+          older: 1h
+          min: 1
+          dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}
+
   windows:
     name: windows / ${{ matrix.build }}
     runs-on: windows-2025
@@ -165,7 +156,7 @@ 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-${{ matrix.build }}
           variant: ccache
@@ -222,14 +213,5 @@ jobs:
       #     7z x "-o${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-cuda-ubuntu.yml

@@ -50,25 +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
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: cuda-ubuntu-24.04-cuda
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        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 \
@@ -77,21 +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
@@ -105,22 +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
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: cuda-ubuntu-22.04-hip
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        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
@@ -131,21 +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
@@ -156,39 +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
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: cuda-ubuntu-22.04-musa
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        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

@@ -31,16 +31,15 @@ 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'
+            defines: '-DGGML_CUDA_CUB_3DOT2=ON'
+          - cuda: '13.3'
             arch: x64
-            defines: '-DGGML_CUDA_CCCL_VERSION=v3.4.3'
+            defines: ''
           - cuda: '13.4'
             arch: arm64
-            defines: '-DGGML_CUDA_CCCL_VERSION=v3.4.3 -DCMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-msvc-cuda.cmake'
+            defines: '-DCMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-msvc-cuda.cmake'
 
     steps:
       - name: Clone
@@ -48,7 +47,7 @@ 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: release-windows-2022-${{ matrix.arch }}-cuda-${{ matrix.cuda }}
 
@@ -153,7 +152,7 @@ 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

@@ -19,8 +19,7 @@ on:
     types: [opened, synchronize, reopened]
     paths: [
       '.github/workflows/build-ibm.yml',
-      'ggml/src/ggml-cpu/**',
-      'ggml/src/ggml-zdnn/**'
+      'ggml/src/ggml-cpu/**'
     ]
 
 concurrency:
@@ -35,14 +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
@@ -83,8 +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
@@ -101,46 +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

@@ -35,7 +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

@@ -44,7 +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
@@ -80,13 +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

@@ -32,8 +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:
@@ -41,8 +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: "2026.3"
+      OPENVINO_VERSION_FULL: "2026.3.0.22451.bd8d6542e3c"
 
     steps:
       - name: Clone
@@ -80,24 +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|test-recurrent-state-rollback-nemotron-h" --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|test-recurrent-state-rollback-nemotron-h" --verbose --timeout 3000
 
   openvino-windows-2022:
     runs-on: windows-2022
 
     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: "2026.3"
+      OPENVINO_VERSION_FULL: "2026.3.0.22451.bd8d6542e3c"
 
     steps:
       - name: Clone
@@ -105,7 +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
@@ -159,20 +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|test-recurrent-state-rollback-nemotron-h" -C Release --verbose --timeout 3000

.github/workflows/build-riscv.yml

@@ -67,7 +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
@@ -106,3 +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-sanitize.yml

@@ -55,7 +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
@@ -101,6 +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: "2026.3"
+      OPENVINO_VERSION_FULL: "2026.3.0.22451.bd8d6542e3c"
+
+    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

@@ -48,8 +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
@@ -63,32 +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
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: sycl-ubuntu-24-${{ matrix.build }}
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        with:
-          key: sycl-ubuntu-24-${{ 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
@@ -102,25 +93,9 @@ 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
 
@@ -129,11 +104,11 @@ jobs:
         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
@@ -152,7 +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
@@ -164,13 +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-vulkan.yml

@@ -31,7 +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
@@ -54,20 +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:
-          key: vulkan-ubuntu-24.04-arm
+          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
@@ -82,18 +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
 
@@ -123,19 +102,11 @@ jobs:
           strip: 1
 
       - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: vulkan-ubuntu-24.04-llvmpipe
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        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
@@ -146,18 +117,6 @@ 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: |
@@ -165,7 +124,9 @@ 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
+          # 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
 
   windows:
     runs-on: windows-2025
@@ -179,7 +140,7 @@ 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-x64-vulkan
           variant: ccache
@@ -219,13 +180,3 @@ jobs:
         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-x64-vulkan
-          older: 5m
-          min: 1
-          dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}

.github/workflows/build-wasm.yml

@@ -54,10 +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:
           key: webgpu-ubuntu-24.04-arm-wasm
-          save: false
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Install Emscripten
         run: |
@@ -68,22 +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
@@ -96,15 +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

@@ -69,33 +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:
           key: webgpu-macos-latest
-          save: false
+          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: |
@@ -103,18 +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: |
@@ -130,10 +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:
           key: webgpu-ubuntu-24.04
-          save: false
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Dependencies
         id: depends
@@ -147,25 +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: |
@@ -174,20 +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

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

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

@@ -1,112 +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/**'
-    ]
-
-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

@@ -1,124 +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/**'
-    ]
-
-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

@@ -1,85 +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/**'
-    ]
-
-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

@@ -1,59 +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/**'
-    ]
-
-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

@@ -1,75 +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/**'
-    ]
-
-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

@@ -1,201 +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/**'
-    ]
-
-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

@@ -1,130 +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/**'
-    ]
-
-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/code-style.yml

@@ -15,7 +15,7 @@ concurrency:
 
 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

@@ -64,7 +64,7 @@ jobs:
     needs: create_tag
     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
@@ -90,8 +90,8 @@ 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" },
@@ -162,7 +162,7 @@ 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

.github/workflows/editorconfig.yml

@@ -15,7 +15,7 @@ concurrency:
 
 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

@@ -21,7 +21,7 @@ on:
 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

@@ -49,22 +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
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: hip-quality-check-ubuntu-22.04
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        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
@@ -92,15 +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/make-release.yml

@@ -13,27 +13,16 @@ on:
         required: true
         type: boolean
         default: true
-      skip_apiabi_check:
-        description: 'Skip API/ABI compatibility check'
-        required: false
-        type: boolean
-        default: false
-      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 }}
 
 permissions:
   contents: write
-  packages: write
 
 jobs:
   make-release:
-    runs-on: ubuntu-24.04  # previously ubuntu-latest
+    runs-on: ubuntu-latest
 
     steps:
       - name: Checkout
@@ -43,18 +32,12 @@ jobs:
           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 }}
 
       - name: Create release tag
         if: ${{ github.event.inputs.dry_run == 'false' }}
@@ -101,13 +84,11 @@ jobs:
 
             New version has been released.
 
-            ## Assets
-
             ${{ steps.desc.outputs.nightly }}
 
-            ## More info
+            **Web UI:** the `nightly-tag.txt` asset contains the tag of the corresponding nightly release
 
-            - [Releases and versioning of `ggml-org` projects](https://github.com/ggml-org/ggml/discussions/1579)
+            **More info:** [dist : releases and versioning of ggml-org projects](https://github.com/ggml-org/ggml/discussions/1579)
 
             ## ${{ steps.desc.outputs.changelog_title }}
 
@@ -130,29 +111,6 @@ jobs:
               data: await fs.readFileSync('./nightly-tag.txt')
             });
 
-      - name: Re-tag container images with release version
-        if: ${{ github.event.inputs.dry_run == '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")
-          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} -> ${dst}"
-              docker buildx imagetools create --tag "${dst}" "${src}"
-            done
-          done
-
       - name: Dry run summary
         if: ${{ github.event.inputs.dry_run == 'true' }}
         run: |

.github/workflows/models-check.yml

@@ -1,445 +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/**'
-    ]
-
-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 $(sysctl -n hw.logicalcpu)
-
-      - name: Generate models
-        id: generate_models
-        run: |
-          rm -rf build-ci-models && mkdir -p build-ci-models
-          ./build/bin/test-llama-archs -o build-ci-models
-
-      - name: Test fusion
-        id: test_fusion
-        run: |
-          ./build/bin/test-fusion --models build-ci-models --device MTL0 --check tests/fusion/MTL.csv
-
-      - name: Test archs
-        id: test_archs
-        run: |
-          GGML_METAL_DEVICES=1 ./build/bin/test-llama-archs -s 1
-          GGML_METAL_DEVICES=2 ./build/bin/test-llama-archs -s 1
-          GGML_METAL_DEVICES=3 ./build/bin/test-llama-archs -s 1
-          GGML_METAL_DEVICES=4 ./build/bin/test-llama-archs -s 1
-
-  rocm:
-    runs-on: [self-hosted, Linux, gfx1201]
-    container: "rocm/dev-ubuntu-24.04:7.2.4-complete"
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: Install dependencies
-        run: |
-          apt update
-          apt install -y build-essential jq cmake time python3 python3-venv python3-pip
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.24
-        with:
-          restore: false
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        with:
-          key: models-check-rocm
-          folder: llama.cpp
-          hf_bucket: ggml-org/cache
-
-      - name: Build
-        id: cmake_build
-        run: |
-          cmake -B build \
-            -DCMAKE_BUILD_TYPE=Release \
-            -DLLAMA_FATAL_WARNINGS=ON \
-            -DLLAMA_OPENSSL=OFF \
-            -DGGML_SCHED_NO_REALLOC=ON \
-            -DCMAKE_HIP_COMPILER=$(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]
-    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/pre-tokenizer-hashes.yml

@@ -12,7 +12,7 @@ on:
 
 jobs:
     pre-tokenizer-hashes:
-        runs-on: ubuntu-slim
+        runs-on: [self-hosted, fast]
 
         steps:
         - name: Checkout repository

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

@@ -20,7 +20,7 @@ concurrency:
 
 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

@@ -21,7 +21,7 @@ concurrency:
 
 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

@@ -22,7 +22,7 @@ concurrency:
 
 jobs:
   python-type-check:
-    runs-on: ubuntu-slim
+    runs-on: [self-hosted, fast]
     name: python type-check
     steps:
       - name: Check out source repository
@@ -31,7 +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:
@@ -40,4 +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

@@ -1,239 +0,0 @@
-name: Publish Release
-
-on:
-  workflow_run:
-    workflows:
-      - Release
-    types:
-      - completed
-    branches:
-      - master
-
-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 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

@@ -32,8 +32,6 @@ on:
     ]
 
 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
@@ -45,7 +43,7 @@ concurrency:
 
 jobs:
   server:
-    runs-on: hf-jobs-cpu-performance
+    runs-on: [self-hosted, CPU, Linux, llama-server]
 
     strategy:
       matrix:
@@ -54,6 +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
@@ -61,23 +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
@@ -93,17 +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: |
@@ -116,7 +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
@@ -124,4 +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

@@ -72,7 +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
@@ -81,7 +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
@@ -90,7 +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
@@ -99,10 +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
@@ -112,42 +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: |
@@ -162,7 +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
@@ -171,7 +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
@@ -180,7 +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
@@ -189,10 +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
@@ -232,7 +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

@@ -80,19 +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
+        uses: ggml-org/ccache-action@v1.2.21
         with:
           key: server-ubuntu-24.04-arm
-          save: false
-
-      - name: ccache-buckets-restore
-        uses: ./.github/actions/ccache-buckets
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
-        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
@@ -101,18 +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
@@ -160,7 +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
@@ -201,13 +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

@@ -17,9 +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
@@ -32,6 +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

@@ -3,41 +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
 
 jobs:
   build:
     runs-on: ubuntu-slim
-
-    permissions:
-      actions: write
-      contents: read
+    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
@@ -45,7 +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
 
@@ -54,8 +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

@@ -7,34 +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
 
 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:
-      actions: read
       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

@@ -64,7 +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
@@ -106,7 +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

@@ -57,14 +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
@@ -115,9 +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
@@ -128,7 +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

@@ -16,7 +16,7 @@ on:
 
 jobs:
     update-ops-docs:
-        runs-on: ubuntu-slim
+        runs-on: [self-hosted, fast, ARM64]
 
         steps:
         - name: Checkout repository

.github/workflows/winget.yml

@@ -8,7 +8,7 @@ on:
 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:

.pi/gg/SYSTEM.md

@@ -6,8 +6,6 @@ General:
 - 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
@@ -22,9 +20,8 @@ Pull requests (PRs):
 - 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

@@ -84,8 +84,7 @@ These points are extremely important - failing to follow them won't necessarily
 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.
+- Do NOT add a new file in `tests/*` without maintainers' approval. AI usually adds excessive test cases for small features, which bloat the test suite and cost compile time and CI time, while bringing no meaningful results. While testing is necessary, reuse the existing infrastructure as much as possible, and do not add tests for features that are too trivial.
 
 ### Prohibited Actions
 

AUTHORS

@@ -1,4 +1,4 @@
-# date: Fri Sep  4 10:06:46 EEST 2026
+# date: Tue Aug 18 14:32:43 EEST 2026
 # this file is auto-generated by scripts/gen-authors.sh
 
 Нияз Гарифзянов <112617865+garrnizon@users.noreply.github.com>
@@ -46,7 +46,6 @@ Abhijit Ramesh <abhijitramesh2k@gmail.com>
 abhijitb11 <113058133+abhijitb11@users.noreply.github.com>
 Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>
 Abhinay Krishna <abhinaykrishna60@gmail.com>
-Abhiram <78226909+geckguy@users.noreply.github.com>
 Abhishek Gopinath K <31348521+overtunned@users.noreply.github.com>
 abotsis <github@bots.is>
 Abraham Gonzalez <theabecaster0@gmail.com>
@@ -88,7 +87,6 @@ akleine <alb.kleine@gmx.de>
 Al G <toasting@gmail.com>
 Al Mochkin <14274697+amochkin@users.noreply.github.com>
 Alan Gray <agray3@users.noreply.github.com>
-Alan Tseng <alanhc.tseng1999@gmail.com>
 Alawode Oluwandabira <dabiraalawode@yahoo.com>
 Albert Jin <albert.jin@gmail.com>
 Alberto <57916483+albbus-stack@users.noreply.github.com>
@@ -138,9 +136,7 @@ alonfaraj <alonfaraj@gmail.com>
 AlpinDale <52078762+AlpinDale@users.noreply.github.com>
 alwqx <kenan3015@gmail.com>
 Aman <amangupta052@gmail.com>
-Aman Chadha(IVIXMMI) <79802170+ac-mmi@users.noreply.github.com>
 Aman Gupta <amangupta052@gmail.com>
-Aman Karki <itsamankarki@gmail.com>
 amd-dwang <dong.wang@amd.com>
 amd-lalithnc <lalithnc@amd.com>
 Amir <amir_zia@outlook.com>
@@ -191,7 +187,6 @@ Anton Mitkov <anton.mitkov@codeplay.com>
 Antonis Makropoulos <benuix@gmail.com>
 Anudit Nagar <nagaranudit@gmail.com>
 Anuj Attri <anujattri01@gmail.com>
-anujj <ajalota@nvidia.com>
 anzz1 <anzz1@live.com>
 Aparna M P <aparmp@qti.qualcomm.com>
 Aparna M P <quic_aparmp@quicinc.com>
@@ -201,7 +196,6 @@ arch-btw <57669023+arch-btw@users.noreply.github.com>
 arcrank <arcrank@gmail.com>
 ardfork <134447697+ardfork@users.noreply.github.com>
 Arik Poznanski <arikpoz@users.noreply.github.com>
-Aritro Bandyopadhyay <71339004+AriBandyo@users.noreply.github.com>
 arlo-phoenix <140345165+arlo-phoenix@users.noreply.github.com>
 Armen Kaleshian <kriation@users.noreply.github.com>
 Arsen Arutunan <58118221+limloop@users.noreply.github.com>
@@ -236,7 +230,6 @@ bandoti <141645996+bandoti@users.noreply.github.com>
 Bar Haim <barvhaim@gmail.com>
 BarfingLemurs <128182951+BarfingLemurs@users.noreply.github.com>
 Bart Louwers <bart.louwers@gmail.com>
-Bartosz Taudul <wolf@nereid.pl>
 Bartowski <3266127+bartowski1182@users.noreply.github.com>
 Bartowski <ckealty1182@gmail.com>
 Bas Nijholt <basnijholt@gmail.com>
@@ -284,7 +277,6 @@ Bono Lv <lvscar@users.noreply.github.com>
 Borislav Stanimirov <b.stanimirov@abv.bg>
 Borislav Stanimirov <b@ibob.bg>
 Bowen Han <fancycode@gmail.com>
-Brad Smith <1472326+infinitewarp@users.noreply.github.com>
 Branden Butler <bwtbutler@hotmail.com>
 Brandon Squizzato <35474886+bsquizz@users.noreply.github.com>
 Brian <mofosyne@gmail.com>
@@ -295,7 +287,6 @@ Bryan Honof <bryanhonof@gmail.com>
 bryanSwk <93190252+bryanSwk@users.noreply.github.com>
 bsilvereagle <bsilvereagle@users.noreply.github.com>
 bssrdf <merlintiger@hotmail.com>
-Buğra Özgürsoy <13810383+ozgursoy@users.noreply.github.com>
 byte-6174 <88070277+byte-6174@users.noreply.github.com>
 Caleb DeLeeuw <143902425+SolshineCode@users.noreply.github.com>
 Calvin Laurenson <calvin@laurenson.dev>
@@ -335,7 +326,6 @@ Chenguang Li <757486878@qq.com>
 Chenguang Li <87689256+noemotiovon@users.noreply.github.com>
 Chipmunk <101038159+CHIPMUNK-T0T@users.noreply.github.com>
 chiranko <96988916+chiranko@users.noreply.github.com>
-Chris Danis <cdanis@gmail.com>
 Chris Elrod <elrodc@gmail.com>
 Chris Kuehl <ckuehl@ckuehl.me>
 Chris Lee <clee@mg8.org>
@@ -366,7 +356,6 @@ clyang <clyang@clyang.net>
 cmdr2 <secondary.cmdr2@gmail.com>
 cmdr2 <shashank.shekhar.global@gmail.com>
 cocktailpeanut <121128867+cocktailpeanut@users.noreply.github.com>
-codemonkey <441345965@qq.com>
 codezjx <code.zjx@gmail.com>
 coezbek <c.oezbek@gmail.com>
 comex <comexk@gmail.com>
@@ -378,8 +367,6 @@ Copilot <198982749+Copilot@users.noreply.github.com>
 Corentin REGAL <corentin.regal@gmail.com>
 cphlipot <9103367+cphlipot@users.noreply.github.com>
 cpumaxx <163466046+cpumaxx@users.noreply.github.com>
-cqderek <cqderek@gmail.com>
-cqderek <cqiang@qti.qualcomm.com>
 crasm <crasm@git.vczf.net>
 crasm <crasm@git.vczf.us>
 crat0z <11581854+crat0z@users.noreply.github.com>
@@ -440,7 +427,6 @@ DavidKorczynski <david@adalogics.com>
 davidrhodus <david@vacovideo.com>
 Dawid Potocki <github@dawidpotocki.com>
 Dawid Wysocki <62249621+TortillaZHawaii@users.noreply.github.com>
-Daya Adianto <addianto@users.noreply.github.com>
 ddh0 <chemist-mulches-39@icloud.com>
 ddh0 <dylanhalladay02@icloud.com>
 ddpasa <112642920+ddpasa@users.noreply.github.com>
@@ -477,7 +463,6 @@ Dmytro Romanov <casteldazur@gmail.com>
 Dobri Danchev <12420863+danchev@users.noreply.github.com>
 DocShotgun <126566557+DocShotgun@users.noreply.github.com>
 Doctor Shotgun <126566557+DocShotgun@users.noreply.github.com>
-Dominik Pantaleoni <95251853+dpantaleoni@users.noreply.github.com>
 Don Mahurin <dmahurin@users.noreply.github.com>
 Dong Won Kim <63934649+ddwkim@users.noreply.github.com>
 Donghyeon Jeong <54725479+djeong20@users.noreply.github.com>
@@ -519,7 +504,6 @@ Emmanuel Ferdman <emmanuelferdman@gmail.com>
 Emreerdog <34742675+Emreerdog@users.noreply.github.com>
 Engininja2 <139037756+Engininja2@users.noreply.github.com>
 Equim <sayaka@ekyu.moe>
-Eric A Stalee <87948564+Eric-A-Stalee@users.noreply.github.com>
 Eric Curtin <ecurtin@redhat.com>
 Eric Curtin <eric.curtin@docker.com>
 Eric Curtin <ericcurtin17@gmail.com>
@@ -535,7 +519,6 @@ Esko Toivonen <eskot98@gmail.com>
 Ethan Turner <eturner64@gmail.com>
 Ettore Di Giacinto <mudler@users.noreply.github.com>
 EugeoSynthesisThirtyTwo <gabriel.dhimoila@gmail.com>
-Eurekatic <eurekatic@eurekatic.eu>
 Evan Huus <eapache@gmail.com>
 Evan Jones <evan.q.jones@gmail.com>
 Evan Miller <emmiller@gmail.com>
@@ -694,7 +677,6 @@ HimariO <dsfhe49854@gmail.com>
 hipudding <huafengchun@gmail.com>
 Hitesh Chopra <34310832+hiteshchopra11@users.noreply.github.com>
 hksdpc255 <43977088+hksdpc255@users.noreply.github.com>
-hmirin <hmirin@users.noreply.github.com>
 hmscider <201289679+hmscider@users.noreply.github.com>
 Hoang Nguyen <hugo53@users.noreply.github.com>
 hoangmit <hoangmit@users.noreply.github.com>
@@ -719,7 +701,6 @@ Huawei Lin <huaweilin.cs@gmail.com>
 Hugo <hugo@whynothugo.nl>
 Hugo Roussel <hugo.rous@gmail.com>
 Huifeng Ou <79071290+ho2103@users.noreply.github.com>
-HumerousGorgon <31957201+HumerousGorgon@users.noreply.github.com>
 hutli <6594598+hutli@users.noreply.github.com>
 hutli <hutli@hutli.hu>
 hutli <jensstaermose@hotmail.com>
@@ -757,15 +738,12 @@ intelmatt <61025942+intelmatt@users.noreply.github.com>
 iohub <rickyang.pro@gmail.com>
 Ionoclast Laboratories <brigham@ionoclast.com>
 iron <lizhenneng@gmail.com>
-Isaac <34376531+init-22@users.noreply.github.com>
 Isaac McFadyen <isaac@imcf.me>
 IsaacDynamo <61521674+IsaacDynamo@users.noreply.github.com>
 Ishaan Gandhi <Ishaangandhi@gmail.com>
 iSma <ismail.senhaji@gmail.com>
 Ismail <115064057+AlrIsmail@users.noreply.github.com>
 issixx <46835150+issixx@users.noreply.github.com>
-itsnotoger <19309683+itsnotoger@users.noreply.github.com>
-itterative <190138728+itterative@users.noreply.github.com>
 Ivan <nekotekina@gmail.com>
 Ivan Chikish <nekotekina@gmail.com>
 Ivan Filipov <159561759+vanaka11@users.noreply.github.com>
@@ -790,7 +768,6 @@ Jakkala Mahesh <155058658+MaheshJakkala@users.noreply.github.com>
 Jakub N <jakubniemczyk97@gmail.com>
 JamePeng <jame_peng@sina.com>
 James A Capozzoli <157492257+jac-jim@users.noreply.github.com>
-James Francis <6763899+JamesFranc@users.noreply.github.com>
 James O'Leary <65884233+jpohhhh@users.noreply.github.com>
 James Reynolds <magnusviri@users.noreply.github.com>
 jameswu2014 <545426914@qq.com>
@@ -821,7 +798,6 @@ Jed Fox <git@jedfox.com>
 Jeff Bolz <jbolz@nvidia.com>
 Jeffrey Morgan <jmorganca@gmail.com>
 Jeffrey Quesnelle <emozilla@nousresearch.com>
-Jeremie Miller <jeremie.miller@gmail.com>
 Jeremy Demeule <jdemeule@users.noreply.github.com>
 Jeremy Rand <244188+JeremyRand@users.noreply.github.com>
 Jeroen Mostert <jeroen.mostert@cm.com>
@@ -833,7 +809,6 @@ Jesse Jojo Johnson <williamsaintgeorge@gmail.com>
 Jesse LaRose <jesse@taey.ai>
 Jesse Posner <jesse.posner@gmail.com>
 Jesus Talavera <145992175+jesus-talavera-ibm@users.noreply.github.com>
-Jetson Tan <tanzongyouyi@outlook.com>
 Jett Janiak <jettjaniak@gmail.com>
 Jeximo <jeximo@gmail.com>
 JFLFY2255 <JFLFY2255@163.com>
@@ -850,7 +825,6 @@ Jie Fu (傅杰) <jiefu@tencent.com>
 jiez <373447296@qq.com>
 Jillis ter Hove <j.terhove@gmail.com>
 Jim Wu <jimw567@users.noreply.github.com>
-Jingxin (Philip) Li <philipaslee@gmail.com>
 Jinwoo Jeong <33892306+williamjeong2@users.noreply.github.com>
 Jinyang He <hejinyang@loongson.cn>
 jinzihao <jinzihao1996@gmail.com>
@@ -876,13 +850,11 @@ John Balis <phobossystems@gmail.com>
 John Bean <113509988+johnbean393@users.noreply.github.com>
 John Eismeier <42679190+jeis4wpi@users.noreply.github.com>
 John Smith <67539080+kingsidelee@users.noreply.github.com>
-John-Henry Lim <42513874+Interpause@users.noreply.github.com>
 Johnathan Craig Maudlin <13183098+jcmdln@users.noreply.github.com>
 JohnnyB <jboero@users.noreply.github.com>
 johnson442 <56517414+johnson442@users.noreply.github.com>
 jojorne <jojorne@users.noreply.github.com>
 jon-chuang <9093549+jon-chuang@users.noreply.github.com>
-Jonas J <111707981+John-194@users.noreply.github.com>
 Jonas Jankaitis <111707981+John-194@users.noreply.github.com>
 Jonas Wunderlich <32615971+jonas-w@users.noreply.github.com>
 Jonathan <47618606+jbuchananr@users.noreply.github.com>
@@ -952,7 +924,6 @@ Karsten Weiss <knweiss@gmail.com>
 Karthick <j.karthic2004@gmail.com>
 Karthik Kumar Viswanathan <195178+guilt@users.noreply.github.com>
 Karthik Sethuraman <k.seth1993@gmail.com>
-Kartik Gulia <kgulia@nvidia.com>
 Kartik Sirohi <99896785+sirohikartik@users.noreply.github.com>
 Kashif Rasul <kashif.rasul@gmail.com>
 KASR <karim.asrih@gmail.com>
@@ -960,7 +931,6 @@ Kasumi <90275229+kasumi-1@users.noreply.github.com>
 Katostrofik <georgiopapairo@gmail.com>
 katsu560 <118887472+katsu560@users.noreply.github.com>
 Kawrakow <48489457+ikawrakow@users.noreply.github.com>
-kbenkhaled <khalilbenkhaled01@gmail.com>
 kchro3 <62481661+kchro3@users.noreply.github.com>
 kdkd <2569413+kdkd@users.noreply.github.com>
 Keiichi Tabata <keiichi.tabata@outlook.com>
@@ -969,7 +939,6 @@ Kenvix ⭐ <kenvixzure@live.com>
 Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
 Kevin Gibbons <bakkot@gmail.com>
 Kevin Hannon <kehannon@redhat.com>
-Kevin Hopper <93635715+kh0pper@users.noreply.github.com>
 Kevin Ji <1146876+kevinji@users.noreply.github.com>
 Kevin Kwok <antimatter15@gmail.com>
 Kevin Liu <4396kevinliu@gmail.com>
@@ -995,14 +964,12 @@ Konstantin Herud <konstantin.herud@denkbares.com>
 Konstantin Zhuravlyov <konstantin.zhuravlyov@amd.com>
 Krishna Sridhar <99914379+srikris-sridhar@users.noreply.github.com>
 krystiancha <krystian@krystianch.com>
-krzsztf <krzysztof@witkowscy.org>
 kubawoo <k-wach@o2.pl>
 kumaal <44551860+kumaal@users.noreply.github.com>
 kunal-vaishnavi <115581922+kunal-vaishnavi@users.noreply.github.com>
 kunnis <kunnis@users.noreply.github.com>
 Kunshang Ji <kunshang.ji@intel.com>
 kuronekosaiko <EvanChanJ@163.com>
-kurquhar <kurquhar@qti.qualcomm.com>
 Kusha Gharahi <3326002+kushagharahi@users.noreply.github.com>
 kustaaya <58045274+kustaaya@users.noreply.github.com>
 kuvaus <22169537+kuvaus@users.noreply.github.com>
@@ -1014,7 +981,6 @@ Kyle Liang <liangmanlai@gmail.com>
 Kyle Mistele <kyle@mistele.com>
 KyleHagy <59183061+KyleHagy@users.noreply.github.com>
 Kylin <56434533+KyL0N@users.noreply.github.com>
-Kyozzz <1147385157@qq.com>
 l-austenfeld <53152202+l-austenfeld@users.noreply.github.com>
 l3utterfly <gc.pthzfoldr@gmail.com>
 l8bloom <l8bloomapi@gmail.com>
@@ -1026,7 +992,6 @@ Lars Sonchocky-Helldorf <lars.sonchocky-helldorf@hamburg.de>
 las7 <98077186+las7@users.noreply.github.com>
 Lasse Lauwerys <65569591+Iemand005@users.noreply.github.com>
 Laura <Tijntje_7@msn.com>
-Laurent Zuijdwijk <laurent.zuijdwijk@gmail.com>
 Law Po Ying <30721578+yingying0906@users.noreply.github.com>
 lcy <lcy0321@users.noreply.github.com>
 ldwang <ftgreat@163.com>
@@ -1074,8 +1039,6 @@ Ludovic Henry <git@ludovic.dev>
 Ludovic Henry <ludovic@rivosinc.com>
 Lukas Straub <lukasstraub2@web.de>
 Łukasz Ślusarczyk <112692748+lslusarczyk@users.noreply.github.com>
-Lukasz Stolcman <4583553+lstolcman@users.noreply.github.com>
-LunalFresh <165352784+LunalFresh@users.noreply.github.com>
 Luo Tian <lt@basecity.com>
 luoyu-intel <yu.luo@intel.com>
 luyhcsu <110711054+luyhcsu@users.noreply.github.com>
@@ -1091,7 +1054,6 @@ Maarten ter Huurne <maarten@treewalker.org>
 Maciej Lisowski <39798354+MaciejDromin@users.noreply.github.com>
 Mack Straight <eiz@users.noreply.github.com>
 maddes8cht <55592906+maddes8cht@users.noreply.github.com>
-Mads Marquart <mads@marquart.dk>
 Maël Kerbiriou <m431.kerbiriou@gmail.com>
 MaggotHATE <clay1326@gmail.com>
 MagicExists <106458387+gugugiyu@users.noreply.github.com>
@@ -1253,8 +1215,6 @@ Naco Siren <naco-siren@users.noreply.github.com>
 Nam D. Tran <42194884+namtranase@users.noreply.github.com>
 nanahi <130121847+na-na-hi@users.noreply.github.com>
 Nathan Epstein <nate2@umbc.edu>
-Nathan Wilson <67372905+Nathanw1014@users.noreply.github.com>
-Nathanw1014 <67372905+Nathanw1014@users.noreply.github.com>
 Natsu <chino@hotococoa.moe>
 Nauful Shaikh <nauful@gmail.com>
 NawafAlansari <72708095+NawafAlansari@users.noreply.github.com>
@@ -1277,7 +1237,6 @@ niansa/tuxifan <tuxifan@posteo.de>
 Nicholai Tukanov <nicholaitukanov@gmail.com>
 Nicholas Sparks <157740354+nisparks@users.noreply.github.com>
 Nick <0x0b4ac@gmail.com>
-Nick Farrell <nick.farrell@aiven.io>
 nick huang <nickhuang99@hotmail.com>
 Nick Lafleur <55208706+nicklafleur@users.noreply.github.com>
 Nick Towle <ntowle@gmail.com>
@@ -1300,7 +1259,6 @@ NikolaiLyssogor <59844691+NikolaiLyssogor@users.noreply.github.com>
 Nikolaos Pothitos <pothitos@di.uoa.gr>
 Nikolas <127742645+nneubacher@users.noreply.github.com>
 Nikolay Popov <131475237+npopov-vst@users.noreply.github.com>
-Nils Gladitz <nilsgladitz@gmail.com>
 Nindaleth <Nindaleth@users.noreply.github.com>
 ningshanwutuobang <ningshanwutuobang@gmail.com>
 Noah <99681487+NoahOksuz@users.noreply.github.com>
@@ -1397,7 +1355,6 @@ Pop Flamingo <trevor.annedenise@icloud.com>
 postmasters <namnguyen@google.com>
 Pouya <PooyaGhahramanian@Gmail.com>
 pqnet <119850+pqnet@users.noreply.github.com>
-Prabhsimran Singh <pskrunner14@gmail.com>
 Prabod <prabod@maincode.com>
 Prajwal B Mehendarkar <prajwal.b.mehendarkar@ibm.com>
 Pranav Dhinakar <pdhinaka@qti.qualcomm.com>
@@ -1421,7 +1378,6 @@ qouoq <qouoq@fastmail.com>
 Qu Zongfu <43257352+yancaoweidaode@users.noreply.github.com>
 quei <56998528+quei4r@users.noreply.github.com>
 Quentin Bramas <quentin.bramas@gmail.com>
-QuintinShaw <github@xyt.email>
 QuintinShaw <yx6f20@soton.ac.uk>
 qunash <anzoria@gmail.com>
 quyentonndbs <raynaedgar8677@outlook.com>
@@ -1506,7 +1462,6 @@ robertomeroni <150194833+robertomeroni@users.noreply.github.com>
 Robey Holderith <robey@flaminglunchbox.net>
 Robin Davidsson <40024429+R-Dson@users.noreply.github.com>
 Robyn <robyngraf@users.noreply.github.com>
-Rock Chen <rockchen.tw@gmail.com>
 Rőczey Barnabás <31726601+An0nie@users.noreply.github.com>
 RodriMora <bullerwins@gmail.com>
 Roger Chen <chenrui@gmail.com>
@@ -1544,21 +1499,17 @@ runfuture <runfuture@users.noreply.github.com>
 RunningLeon <maningsheng@sensetime.com>
 RunningLeon <mnsheng@yeah.net>
 Russyyds <161207317+Russyyds@users.noreply.github.com>
-Ryan C <ryan5rdx@users.noreply.github.com>
 Ryan Goulden <percontation@gmail.com>
 Ryan Landay <rlanday@gmail.com>
 Ryan Mangeno <160974989+ryan-mangeno@users.noreply.github.com>
 Ryder Wishart <ryderwishart@gmail.com>
 Ryuei <louixs@users.noreply.github.com>
 s-goto-11 <206795233+s-goto-11@users.noreply.github.com>
-s0mecode <213953308+s0mecode@users.noreply.github.com>
 s8322 <s0527684199@gmail.com>
-Saad Ali <NIXKnight@users.noreply.github.com>
 Saba Fallah <10401143+sfallah@users.noreply.github.com>
 Saba Fallah <sabafallah@gmail.com>
 Sachin Desai <smdesai@gmail.com>
 Sachin Sharma <sachin@zettabolt.com>
-Safi Ullah <safiullah.3915@gmail.com>
 safranowith <bsh155762@gmail.com>
 SakuraUmi <yukinon244@gmail.com>
 Salvador E. Tropea <stropea@inti.gob.ar>
@@ -1601,7 +1552,6 @@ Sergey Alirzaev <l29ah@riseup.net>
 Sergey Alirzaev <zl29ah@gmail.com>
 Sergey Fedorov <vital.had@gmail.com>
 Sergey Malinin <sergmalinin@gmail.com>
-Sergey Sklyarov <sergey.sklyarov@gmail.com>
 Sergio López <slp@redhat.com>
 Sergio López <slp@sinrega.org>
 Sergiu <8598216+mzsergiu@users.noreply.github.com>
@@ -1632,13 +1582,11 @@ Shawn Gu <shawngu@qti.qualcomm.com>
 Shawn yang <137684499+Yangxiaoz@users.noreply.github.com>
 Shelby Jenkins <47464908+ShelbyJenkins@users.noreply.github.com>
 Sheldon Robinson <sheldon.robinson@live.com>
-Shenghan Yang <ysharke@sjtu.edu.cn>
 shibe2 <shibe@tuta.io>
 Shijie <821898965@qq.com>
 Shin-myoung-serp <relent95@naver.com>
 Shintarou Okada <kokuzen@gmail.com>
 shivamkumard-ctrl <shivamkumard@nvidia.com>
-Shobhit <sobhit.me@gmail.com>
 Shouyu <65317431+joeldushouyu@users.noreply.github.com>
 Shouzheng Liu <61452103+lshzh-ww@users.noreply.github.com>
 Shouzheng Liu <lshzh.hi@gmail.com>
@@ -1659,7 +1607,6 @@ Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
 Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
 simevo <github@simevo.com>
 Simon Redman <simon@ergotech.com>
-Simon Teixidor <simon@flaskpost.me>
 Simon Willison <swillison@gmail.com>
 simon886212 <37953122+simon886212@users.noreply.github.com>
 Simranjeet Singh <105192966+simrnsingh@users.noreply.github.com>
@@ -1716,7 +1663,6 @@ stevenkuang <stevenkuang@tencent.com>
 Steward Garcia <57494570+FSSRepo@users.noreply.github.com>
 StrangeBytesDev <141275258+StrangeBytesDev@users.noreply.github.com>
 strawberrymelonpanda <152940198+strawberrymelonpanda@users.noreply.github.com>
-Strongtut <Strongtut@users.noreply.github.com>
 Suaj Carrot <72162667+SuajCarrot@users.noreply.github.com>
 sudhiarm <sudhi.sathyavathy@arm.com>
 Sukriti Sharma <Ssukriti@users.noreply.github.com>
@@ -1741,7 +1687,6 @@ Tamar <Tamar0812@outlook.co.il>
 tamarPal <tamarp3385@gmail.com>
 Tameem <113388789+AhmadTameem@users.noreply.github.com>
 Tamotsu Takahashi <ttakah+github@gmail.com>
-Tanner Bruhn <66120666+tannerbruhn@users.noreply.github.com>
 tarcey <cey.tarik@gmail.com>
 Tarek Dakhran <t.dakhran@gmail.com>
 Tarek Dakhran <tarek@liquid.ai>
@@ -1751,7 +1696,6 @@ Taylor <quantumtraveling@gmail.com>
 tc-mb <157115220+tc-mb@users.noreply.github.com>
 TecJesh <qdvm5gl@163.com>
 Tei Home <taiteitonghome@proton.me>
-Tekin Ertekin <tekin.ertekin@gmail.com>
 Tekin Ertekin <tekinertekin@gmail.com>
 tempstudio <49735574+tempstudio@users.noreply.github.com>
 teo <TeoZosa@users.noreply.github.com>
@@ -1793,7 +1737,6 @@ Ting Lou <louting@189.cn>
 Ting Lou <ting.lou@gmail.com>
 Ting Sun <suntcrick@gmail.com>
 Titaniumtown <titaniumtown@proton.me>
-Tiwei Bie <tiwei.btw@antgroup.com>
 tjohnman <tjohnman@users.noreply.github.com>
 Tobias Lütke <tobi@shopify.com>
 Toby <25832191+aetherbird@users.noreply.github.com>
@@ -1870,7 +1813,6 @@ Vishal Agarwal <vishalagarwal.jss@gmail.com>
 Vishal Singh <vishal@zettabolt.com>
 Vitali Lovich <vlovich+github@gmail.com>
 Vivian <vynride@gmail.com>
-vk <89937361+itsvedantkumar@users.noreply.github.com>
 Vlad <spitfireage@gmail.com>
 Vladimir <bogdad@gmail.com>
 Vladimir Malyutin <first-leon@yandex.ru>
@@ -1955,7 +1897,6 @@ Yaiko <elyaiko@hotmail.com>
 Yakine Tahtah <96926916+ReinforcedKnowledge@users.noreply.github.com>
 YangLe <smilingpoplar@gmail.com>
 yangli2 <yangli2@gmail.com>
-Yaniss Amazouz <yaniss91600@gmail.com>
 Yann Follet <131855179+YannFollet@users.noreply.github.com>
 Yanzhao Wang <yanzhaow@qti.qualcomm.com>
 Yarden Tal <yardent@qti.qualcomm.com>

CMakeLists.txt

@@ -4,7 +4,7 @@ include(CheckIncludeFileCXX)
 
 ### llama.cpp version
 set(LLAMA_VERSION_MAJOR 0)
-set(LLAMA_VERSION_MINOR 5)
+set(LLAMA_VERSION_MINOR 2)
 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
 #

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

@@ -13,7 +13,7 @@
 [![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)
 
-[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 +21,6 @@
 
 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 +74,7 @@ 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 |

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

@@ -18,7 +18,7 @@ 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
 
@@ -169,14 +169,6 @@ 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 > ${module_path}module.modulemap << EOF
 framework module llama {
@@ -458,7 +450,6 @@ build_ios_sim() {
         -DIOS=ON \
         -DCMAKE_SYSTEM_NAME=iOS \
         -DCMAKE_OSX_SYSROOT=iphonesimulator \
-        -DGGML_METAL_TARGET_OS=ios \
         -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
         -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=iphonesimulator \
         -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
@@ -476,7 +467,6 @@ build_ios_device() {
         -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}" \
@@ -508,7 +498,6 @@ build_visionos() {
         -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}" \
@@ -527,7 +516,6 @@ build_visionos_sim() {
         -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}" \
@@ -546,7 +534,6 @@ build_tvos_sim() {
         -DCMAKE_OSX_DEPLOYMENT_TARGET=${TVOS_MIN_OS_VERSION} \
         -DCMAKE_SYSTEM_NAME=tvOS \
         -DCMAKE_OSX_SYSROOT=appletvsimulator \
-        -DGGML_METAL_TARGET_OS=tvos \
         -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
         -DGGML_METAL=ON \
         -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=appletvsimulator \
@@ -565,7 +552,6 @@ build_tvos_device() {
         -DCMAKE_OSX_DEPLOYMENT_TARGET=${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 \

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|test-recurrent-state-rollback-nemotron-h"
 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 {
@@ -580,102 +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: fix multi-threaded for ROCm
-    #       https://github.com/ggml-org/llama.cpp/actions/runs/34576278519/job/103297889044?pr=28740#step:3:4865
-    if [ ! -z ${GG_BUILD_ROCM} ]; then
-        args_extra=""
-    fi
-
-    # TODO: MoltenVK bug?
-    #       https://github.com/ggml-org/llama.cpp/actions/runs/34611260059/job/103302413736?pr=28740#step:3:5897
-    if [ ! -z "${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
@@ -704,10 +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
@@ -723,4 +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/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}
-    ${LLAMA_CHAT_PARSERS_SOURCES}
     arg.cpp
     arg.h
     base64.hpp
@@ -84,8 +81,6 @@ add_library(${TARGET}
     imatrix-loader.cpp
     imatrix-loader.h
     json-schema-to-grammar.cpp
-    json-schema.cpp
-    json-schema.h
     json.cpp
     json.h
     llguidance.cpp

common/arg.cpp

@@ -351,7 +351,7 @@ 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 +387,6 @@ 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;
@@ -720,24 +717,24 @@ 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)) {
@@ -751,7 +748,7 @@ 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);
@@ -875,6 +872,17 @@ 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
@@ -886,12 +894,6 @@ 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");
     }
@@ -958,11 +960,6 @@ 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;
 }
 
@@ -1646,14 +1643,6 @@ 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(
@@ -2019,7 +2008,7 @@ 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),
@@ -2035,7 +2024,7 @@ 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),
@@ -2043,7 +2032,7 @@ 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),
@@ -2099,7 +2088,7 @@ 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),
@@ -2110,7 +2099,7 @@ 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),
@@ -2121,7 +2110,7 @@ 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),
@@ -2280,14 +2269,14 @@ 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) {
@@ -2608,7 +2597,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
     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"
+        "device to use for multimodal projector (none = don't offload, default: auto)\n"
         "use --list-devices to see a list of available devices",
         [](common_params & params, const std::string & value) {
             if (value == "none") {
@@ -2655,38 +2644,42 @@ 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"
@@ -2706,19 +2699,6 @@ 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"
@@ -2770,20 +2750,14 @@ 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(
-        {"-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",
@@ -3180,13 +3154,6 @@ 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"},
@@ -3319,18 +3286,9 @@ 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(
@@ -3547,10 +3505,6 @@ 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();
             }
         }
@@ -3741,7 +3695,7 @@ 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) {
@@ -3750,7 +3704,6 @@ 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(
@@ -3890,14 +3843,6 @@ 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)",
@@ -4139,7 +4084,11 @@ 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"));
 
@@ -4160,38 +4109,6 @@ 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",
@@ -4216,24 +4133,9 @@ 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);
@@ -4266,7 +4168,7 @@ 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",

common/arg.h

@@ -122,8 +122,6 @@ 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

@@ -5,7 +5,6 @@
 #include "common.h"
 #include "json-schema-to-grammar.h"
 #include "log.h"
-#include "parsers/parsers.h"
 #include "peg-parser.h"
 
 #include <stdexcept>
@@ -13,6 +12,16 @@
 
 using json = common_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 {
 
 parser_build_context::parser_build_context(common_chat_peg_builder & p, const generation_params & inputs) :
@@ -78,6 +87,15 @@ 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);
         });
 
@@ -294,7 +312,7 @@ common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context
     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;
@@ -365,31 +383,43 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
     common_peg_parser tool_choice = p.choice();
 
     foreach_function(inputs.tools, [&](const json & tool) {
-        const auto & func = tool.at("function");
-        std::string  name = func.at("name");
+        const auto &          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")) {
+            required = params.at("required").get<std::set<std::string>>();
+        }
+
+        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, [&](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-" + name + "-arg-" + param.name + "-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-" + name + "-arg-" + param.name, 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();

common/chat-peg-parser.cpp

@@ -318,13 +318,13 @@ 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)
@@ -488,7 +488,7 @@ common_peg_parser common_chat_peg_builder::standard_constructed_tools(
         }
         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();
@@ -565,7 +565,7 @@ common_peg_parser common_chat_peg_builder::python_style_tool_calls(
         }
         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()) {
@@ -640,7 +640,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_function_is_key(
         }
         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;
@@ -726,7 +726,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys(
         }
         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("\""));
@@ -795,7 +795,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys(
         }
         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("\""));
@@ -1058,12 +1058,12 @@ 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;
     }
 
@@ -1206,12 +1206,12 @@ 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.h

@@ -360,9 +360,6 @@ common_json common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg
 
 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);
-
 // 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);
 

common/common.cpp

@@ -3,9 +3,6 @@
 
 #include "build-info.h"
 #include "common.h"
-
-#include "../src/llama-ext.h"
-
 #include "fit.h"
 #include "log.h"
 #include "llama.h"
@@ -49,10 +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
@@ -404,11 +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);
@@ -616,6 +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;
@@ -874,7 +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();
     }
@@ -890,52 +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) {
@@ -960,91 +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")) {
@@ -1062,7 +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));
+
+    return stdout_is_tty || stderr_is_tty;
 }
 
 //
@@ -1147,36 +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"    },
-};
-
-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_init_result::common_init_result(common_params & params, bool model_only) :
     pimpl(new impl{}) {
     auto mparams = common_model_params_to_llama(params);
@@ -1185,34 +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);
     }
 
@@ -1229,29 +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) {
-        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;
@@ -1440,8 +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;
@@ -1450,9 +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);
@@ -1502,11 +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);
@@ -1516,17 +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");
@@ -1607,7 +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;
@@ -1630,7 +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;
 }
@@ -1746,6 +1802,33 @@ 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
 //
@@ -2082,140 +2165,18 @@ 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,
@@ -2236,9 +2197,7 @@ 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;
         }
@@ -2247,18 +2206,18 @@ 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;
         }

common/common.h

@@ -8,8 +8,6 @@
 #include "ggml.h"
 #include "llama.h"
 
-#include <array>
-#include <list>
 #include <set>
 #include <sstream>
 #include <string>
@@ -17,9 +15,7 @@
 #include <vector>
 #include <map>
 #include <algorithm>
-#include <filesystem>
 #include <fstream>
-#include <cstdio>
 
 #if defined(_WIN32) && !defined(_WIN32_WINNT)
 #define _WIN32_WINNT 0x0A00
@@ -273,7 +269,7 @@ struct common_params_sampling {
         COMMON_SAMPLER_TYPE_TEMPERATURE,
     };
 
-    common_grammar                      grammar;          // optional grammar constraint (user / output-format / tool-calls)
+    common_grammar              grammar;      // optional grammar constraint (user / output-format / tool-calls)
     bool                                grammar_lazy = false;
     std::vector<common_grammar_trigger> grammar_triggers; // optional triggers (for lazy grammars)
     std::set<llama_token>               preserved_tokens;
@@ -334,8 +330,6 @@ struct common_params_speculative_draft {
 
     bool backend_sampling = true; // offload draft sampling to the backend (default: on)
 
-    bool probabilistic = false; // sample the draft and verify by rejection, instead of argmax and match
-
     common_params_model mparams;
 
     llama_context * ctx_tgt = nullptr;
@@ -375,9 +369,6 @@ struct common_params_speculative_ngram_cache {
 struct common_params_speculative {
     std::vector<enum common_speculative_type> types = { COMMON_SPECULATIVE_TYPE_NONE };
 
-    double synth_len = -1.0;
-    std::vector<double> synth_rates;
-
     // used by Simple, MTP, Eagle3, etc. - all methods that require some kind of draft model
     common_params_speculative_draft draft;
 
@@ -392,10 +383,6 @@ struct common_params_speculative {
         return !draft.mparams.empty();
     }
 
-    bool has_synth() const {
-        return synth_len != -1.0 || !synth_rates.empty();
-    }
-
     uint32_t need_n_rs_seq() const {
         bool needs_rs_seq = std::any_of(types.begin(), types.end(), [&](auto t) {
             return t == COMMON_SPECULATIVE_TYPE_DRAFT_MTP || t == COMMON_SPECULATIVE_TYPE_DRAFT_EAGLE3 || t == COMMON_SPECULATIVE_TYPE_DRAFT_DFLASH || t == COMMON_SPECULATIVE_TYPE_DRAFT_DSPARK;
@@ -488,8 +475,6 @@ struct common_params {
     enum llama_split_mode split_mode = LLAMA_SPLIT_MODE_LAYER; // how to split the model across GPUs
     enum llama_load_mode  load_mode  = LLAMA_LOAD_MODE_AUTO; // how to load the model
 
-    enum llama_lazy_mode lazy_mode = LLAMA_LAZY_MODE_AUTO; // on-demand reading of tensors marked by the arch
-
     common_cpu_params cpuparams;
     common_cpu_params cpuparams_batch;
 
@@ -586,7 +571,6 @@ struct common_params {
     bool no_op_offload     = false; // globally disable offload host tensor operations to device
     bool no_extra_bufts    = false; // disable extra buffer types (used for weight repacking)
     bool no_host           = false; // bypass host buffer allowing extra buffers to be used
-    bool load_mtp          = false; // load MTP/NextN layers
 
     bool single_turn       = false; // single turn chat conversation
 
@@ -605,11 +589,6 @@ struct common_params {
     int image_max_tokens = -1;
     int mtmd_batch_max_tokens = 1024;
 
-    // for video input
-    float       video_fps                   = 4.0f;
-    int64_t     video_timestamp_interval_ms = 5000;
-    std::string video_ffmpeg_bin_dir        = "";
-
     // finetune
     struct lr_opt lr;
     enum ggml_opt_optimizer_type optimizer = GGML_OPT_OPTIMIZER_TYPE_ADAMW;
@@ -633,14 +612,13 @@ struct common_params {
     bool    cache_prompt        = true;  // whether to enable prompt caching
     bool    cache_idle_slots    = true;  // save and clear idle slots upon starting a new task
     int32_t n_ctx_checkpoints   = 32;    // max number of context checkpoints per slot
-    int32_t kv_unified_per_slot = 0;     // max context per parallel slot; 0 = unset
     int32_t checkpoint_min_step = 8192;  // minimum spacing between context checkpoints
     int32_t cache_ram_mib       = 8192;  // -1 = no limit, 0 - disable, 1 = 1 MiB, etc.
 
+    std::string hostname      = "127.0.0.1";
     std::string public_path   = "";                                                                         // NOLINT
     std::string api_prefix    = "";                                                                         // NOLINT
     std::string chat_template = "";                                                                         // NOLINT
-    std::vector<std::string> hostnames = {"127.0.0.1"};
     bool use_jinja = true;                                                                                  // NOLINT
 
     // server CORS params
@@ -663,7 +641,6 @@ struct common_params {
     std::string ssl_file_cert = "";                                                                         // NOLINT
 
     std::map<std::string, std::string> default_template_kwargs;
-    bool preserve_reasoning_specified = false;
 
     // CLI params
     std::string server_base; // if set, connect to this server instead of starting a new one
@@ -725,11 +702,10 @@ struct common_params {
     int32_t i_chunk     =  0; // start processing from this chunk
     int8_t  imat_dat    =  0; // whether the legacy imatrix.dat format should be output (gguf <= 0 < dat)
 
-    bool process_output         = false; // collect data for the output tensor
-    bool compute_ppl            = true;  // whether to compute perplexity
-    bool show_statistics        = false; // show imatrix statistics per tensor
-    bool activation_statistics  = false; // generate data to calculate activation based statistics
-    bool parse_special          = false; // whether to parse special tokens during imatrix tokenization
+    bool process_output  = false; // collect data for the output tensor
+    bool compute_ppl     = true;  // whether to compute perplexity
+    bool show_statistics = false; // show imatrix statistics per tensor
+    bool parse_special   = false; // whether to parse special tokens during imatrix tokenization
 
     // cvector-generator params
     int n_pca_batch = 100;
@@ -815,9 +791,7 @@ static std::vector<T> string_split(const std::string & str, char delim) {
     while (std::getline(str_stream, token, delim)) {
         T value;
         std::istringstream token_stream(token);
-        if (!(token_stream >> value)) {
-            throw std::invalid_argument("invalid value: \"" + token + "\"");
-        }
+        token_stream >> value;
         values.push_back(value);
     }
     return values;
@@ -885,21 +859,10 @@ void string_process_escapes(std::string & input);
 std::string string_from(bool value);
 std::string string_from(const std::vector<int> & values);
 std::string string_from(const struct llama_context * ctx, const std::vector<llama_token> & tokens);
+std::string string_from(const struct llama_context * ctx, const struct llama_batch & batch);
 
 bool glob_match(const std::string & pattern, const std::string & str);
 
-//
-// Unicode utils
-//
-
-#ifdef _WIN32
-std::wstring utf8_to_wstring(const std::string & str);
-std::string  wstring_to_utf8(const std::wstring & str);
-#endif
-
-// returns the path as a UTF-8 string, preserving its separators
-std::string fs_path_to_utf8(const std::filesystem::path & path);
-
 //
 // Environment utils
 //
@@ -909,30 +872,28 @@ std::string fs_path_to_utf8(const std::filesystem::path & path);
 std::string common_get_env(const std::string & name);
 void        common_set_env(const std::string & name, const std::string & value);
 
-// reads a path from the environment, an unset variable gives an empty path
-std::filesystem::path common_get_path_from_env(const std::string & name);
-
 //
 // Filesystem utils
 //
 
 bool fs_validate_filename(const std::string & filename, bool allow_subdirs = false);
+bool fs_create_directory_with_parents(const std::string & path);
 bool fs_is_directory(const std::string & path);
 
-// some old libstdc++ versions don't follow symlinks here, so adding a trailing "/" fixes it: https://gcc.gnu.org/bugzilla/show_bug.cgi?id=101510
-inline bool common_create_directories(const std::filesystem::path & path, std::error_code & ec) {
-#if defined(__linux__)
-    return std::filesystem::create_directories(path / "", ec);
-#else
-    return std::filesystem::create_directories(path, ec);
-#endif
-}
+std::string fs_get_cache_directory();
+std::string fs_get_cache_file(const std::string & filename);
+std::string fs_get_config_directory();
 
-std::filesystem::path fs_get_cache_directory();
-std::filesystem::path fs_get_cache_file(const std::string & filename);
-std::filesystem::path fs_get_config_directory();
+struct common_file_info {
+    std::string path;
+    std::string name;
+    size_t      size = 0; // in bytes
+    bool        is_dir = false;
+};
+std::vector<common_file_info> fs_list(const std::string & path, bool include_directories);
 
-void fs_write_atomic(const std::filesystem::path & path, const std::string & data);
+// fs open, also handle UTF8 on Windows
+std::ifstream fs_open_ifstream(const std::string & fname, std::ios_base::openmode mode);
 
 //
 // TTY utils
@@ -941,29 +902,12 @@ void fs_write_atomic(const std::filesystem::path & path, const std::string & dat
 // Auto-detect if colors can be enabled based on terminal and environment
 bool tty_can_use_colors();
 
-// Check if the given file is attached to a terminal
-bool common_is_tty(FILE * file);
-
 //
 // Model utils
 //
 
 struct common_sampler;
 
-// typed decision models, see "<arch>.decision.type" in the model metadata
-enum common_decision_type {
-    COMMON_DECISION_TYPE_NONE,    // not a decision model
-    COMMON_DECISION_TYPE_OPENJEV, // logits of one label token per option, read at the last prompt token
-    COMMON_DECISION_TYPE_LEV,     // same as openjev, noul is read from a rating scale
-    COMMON_DECISION_TYPE_KEV,     // dot product of the hidden states of the last token and of one end token per option
-    COMMON_DECISION_TYPE_NIMBLE,  // same as openjev, the prompt lists all the questions of the request
-    COMMON_DECISION_TYPE_LAYA,    // score of one marker token per option, read from the embeddings output
-    COMMON_DECISION_TYPE_CLEF,    // all questions in one prompt, score of option i read from the embeddings output at row i
-    COMMON_DECISION_TYPE_UNKNOWN, // a decision model of a type that is not supported
-};
-
-common_decision_type common_get_decision_type(const struct llama_model * model);
-
 // note: defines the model, context, samplers, ets. lifetimes
 struct common_init_result {
     common_init_result(common_params & params, bool model_only = false);
@@ -1051,63 +995,14 @@ struct common_memory {
 // Batch utils
 //
 
-// wrapper around llama_batch_ext that provide getter functions for downstream code
-// entries can exceed n_batch, use get_sub_batch() to decode them in chunks
-struct common_batch {
-    struct token {
-        llama_token  id;
-        std::array<llama_pos, GGML_MROPE_SECTIONS> pos; // only pos[0] is used for text tokens
-        llama_seq_id seq_id; // the first sequence id, see add_seq()
-        bool         output;
-        llama_embd   embd; // non-owning view of the data passed to add_embd()/set_embd(), data == NULL if none
-        std::vector<llama_seq_id> seq_ids_extra; // see add_seq()
-        int32_t      decision_order = 0; // see llama_batch_ext_set_decision_order()
-    };
+void common_batch_clear(struct llama_batch & batch);
 
-    std::vector<token> tokens; // mirror of the entries, tokens[i] describes batch index i
-    llama_batch_ext_ptr batch;
-
-    int32_t n_pos = 1; // positions per embedding entry, GGML_MROPE_SECTIONS for MROPE/IMROPE
-
-    common_batch() = default;
-    common_batch(struct llama_context * ctx);
-
-    llama_batch_ext * get() { return get_sub_batch(0, size()); }
-
-    // render entries [off, off + n) into batch, the result is overwritten by the next call
-    llama_batch_ext * get_sub_batch(int32_t off, int32_t n);
-
-    // content type of the batch, all entries carry the same combination
-    bool has_token() const { return !tokens.empty() && tokens[0].id != LLAMA_TOKEN_NULL; }
-    bool has_embd () const { return !tokens.empty() && tokens[0].embd.data != nullptr; }
-
-    void clear();
-
-    // returns the batch index
-    int32_t add(llama_token id, llama_pos pos, llama_seq_id seq_id, bool output);
-
-    // same, with the entry shared by all seq_ids (must not be empty)
-    int32_t add(llama_token id, llama_pos pos, const std::vector<llama_seq_id> & seq_ids, bool output);
-
-    // add the entry at idx to another sequence, tokens[idx].seq_id keeps the first one
-    bool add_seq(int32_t idx, llama_seq_id seq_id);
-
-    bool set_output(int32_t idx, bool value);
-
-    // attach a token embedding to the entry at idx, can only be set once per entry
-    bool set_embd(int32_t idx, llama_embd embd);
-
-    // add an embedding-only entry (no token id)
-    // pos points to n_pos positions
-    int32_t add_embd(llama_embd embd, const llama_pos * pos, llama_seq_id seq_id, bool output);
-
-    int32_t size() const { return (int32_t) tokens.size(); }
-};
-
-// create a single-sequence batch from a list of tokens
-// positions continue from the memory, last token always have output_logits set to true
-common_batch common_batch_get_one(struct llama_context * ctx, const llama_token * tokens, int32_t n_tokens);
-common_batch common_batch_get_one(struct llama_context * ctx, const llama_tokens & tokens);
+void common_batch_add(
+                 struct llama_batch & batch,
+                        llama_token   id,
+                          llama_pos   pos,
+    const std::vector<llama_seq_id> & seq_ids,
+                               bool   logits);
 
 // decodes a single batch of tokens for a prompt and manages session tokens
 //
@@ -1116,7 +1011,7 @@ common_batch common_batch_get_one(struct llama_context * ctx, const llama_tokens
 // tokens from memory, so this approach works across all model architectures.
 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,
@@ -1213,30 +1108,19 @@ const char * const LLM_KV_SPLIT_TENSORS_COUNT = "split.tensors.count";
 }
 
 //
-// FFN offload utils
+// MoE utils
 //
 
 const char * const LLM_FFN_EXPS_REGEX = "\\.ffn_(up|down|gate|gate_up)_(ch|)exps";
 
-const char * const LLM_FFN_DENSE_REGEX = "\\.ffn_(up|down|gate)\\.";
-
-inline std::string llm_ffn_block_regex(int idx, const char * ffn_regex) {
-    return string_format("blk\\.%d%s", idx, ffn_regex);
+inline std::string llm_ffn_exps_block_regex(int idx) {
+    return string_format("blk\\.%d%s", idx, LLM_FFN_EXPS_REGEX);
 }
 
 inline llama_model_tensor_buft_override llm_ffn_exps_cpu_override() {
     return { LLM_FFN_EXPS_REGEX, ggml_backend_cpu_buffer_type() };
 }
 
-inline void llm_add_n_cpu_ffn_overrides(int n, const char * ffn_regex, std::vector<llama_model_tensor_buft_override> & overrides) {
-    // keep strings alive and avoid leaking memory by storing them in a static list
-    static std::list<std::string> buft_override_strings;
-    for (int i = 0; i < n; ++i) {
-        buft_override_strings.push_back(llm_ffn_block_regex(i, ffn_regex));
-        overrides.push_back({buft_override_strings.back().c_str(), ggml_backend_cpu_buffer_type()});
-    }
-}
-
 //
 // training utils
 //

common/console.cpp

@@ -1,5 +1,4 @@
 #include "console.h"
-#include "common.h"
 #include "log.h"
 #include <vector>
 #include <iostream>
@@ -1019,7 +1018,6 @@ namespace console {
                     line.clear();
                     pop_cursor();
                 }
-                line += '\n';
                 has_more = false;
             }
         } else {
@@ -1051,10 +1049,13 @@ namespace console {
         if (!std::getline(std::wcin, wline)) {
             // Input stream is bad or EOF received
             line.clear();
+            GenerateConsoleCtrlEvent(CTRL_C_EVENT, 0);
             return false;
         }
 
-        line = wstring_to_utf8(wline);
+        int size_needed = WideCharToMultiByte(CP_UTF8, 0, &wline[0], (int)wline.size(), NULL, 0, NULL, NULL);
+        line.resize(size_needed);
+        WideCharToMultiByte(CP_UTF8, 0, &wline[0], (int)wline.size(), &line[0], size_needed, NULL, NULL);
 #else
         if (!std::getline(std::cin, line)) {
             // Input stream is bad or EOF received
@@ -1065,7 +1066,7 @@ namespace console {
         if (!line.empty()) {
             char last = line.back();
             if (last == '/') { // Always return control on '/' symbol
-                line.back() = '\n';
+                line.pop_back();
                 return false;
             }
             if (last == '\\') { // '\\' changes the default action

common/download.cpp

@@ -35,13 +35,50 @@
 #endif
 #endif
 
+// isatty
+#if defined(_WIN32)
+#include <io.h>
+#else
+#include <unistd.h>
+#endif
+
 //
 // downloader
 //
 
+// validate repo name format: owner/repo
+static void write_file(const std::string & fname, const std::string & content) {
+    const std::string fname_tmp = fname + ".tmp";
+    std::ofstream     file(fname_tmp);
+    if (!file) {
+        throw std::runtime_error(string_format("error: failed to open file '%s'\n", fname.c_str()));
+    }
+
+    try {
+        file << content;
+        file.close();
+
+        // Makes write atomic
+        if (rename(fname_tmp.c_str(), fname.c_str()) != 0) {
+            LOG_ERR("%s: unable to rename file: %s to %s\n", __func__, fname_tmp.c_str(), fname.c_str());
+            // If rename fails, try to delete the temporary file
+            if (remove(fname_tmp.c_str()) != 0) {
+                LOG_ERR("%s: unable to delete temporary file: %s\n", __func__, fname_tmp.c_str());
+            }
+        }
+    } catch (...) {
+        // If anything fails, try to delete the temporary file
+        if (remove(fname_tmp.c_str()) != 0) {
+            LOG_ERR("%s: unable to delete temporary file: %s\n", __func__, fname_tmp.c_str());
+        }
+
+        throw std::runtime_error(string_format("error: failed to write file '%s'\n", fname.c_str()));
+    }
+}
+
 static void write_etag(const std::string & path, const std::string & etag) {
     const std::string etag_path = path + ".etag";
-    fs_write_atomic(std::filesystem::u8path(etag_path), etag);
+    write_file(etag_path, etag);
     LOG_DBG("%s: file etag saved: %s\n", __func__, etag_path.c_str());
 }
 
@@ -90,7 +127,11 @@ class ProgressBar : public common_download_callback {
     }
 
     static bool is_output_a_tty() {
-        return common_is_tty(stdout);
+#if defined(_WIN32)
+        return _isatty(_fileno(stdout));
+#else
+        return isatty(1);
+#endif
     }
 
 public:
@@ -233,12 +274,6 @@ static bool common_pull_file(httplib::Client & cli,
         return false;
     }
 
-    ofs.close();
-    if (!ofs) {
-        LOG_ERR("%s: error closing file: %s\n", __func__, path_tmp.c_str());
-        return false;
-    }
-
     return true;
 }
 
@@ -251,7 +286,7 @@ static int common_download_file_single_online(const std::string & url,
     static const int max_attempts        = 3;
     static const int retry_delay_seconds = 2;
 
-    const bool file_exists = std::filesystem::exists(std::filesystem::u8path(path));
+    const bool file_exists = std::filesystem::exists(path);
 
     if (file_exists && skip_etag) {
         LOG_DBG("%s: using cached file: %s\n", __func__, path.c_str());
@@ -442,7 +477,7 @@ int common_download_file_single(const std::string & url,
         return common_download_file_single_online(url, path, online_opts, skip_etag);
     }
 
-    if (!std::filesystem::exists(std::filesystem::u8path(path))) {
+    if (!std::filesystem::exists(path)) {
         LOG_ERR("%s: required file is not available in cache (offline mode): %s\n", __func__, path.c_str());
         return -1;
     }
@@ -908,7 +943,7 @@ std::string common_docker_resolve_model(const std::string & docker) {
         std::string model_filename = repo;
         std::replace(model_filename.begin(), model_filename.end(), '/', '_');
         model_filename += "_" + tag + ".gguf";
-        std::string local_path = fs_path_to_utf8(fs_get_cache_file(model_filename));
+        std::string local_path = fs_get_cache_file(model_filename);
 
         const std::string blob_url = url_prefix + "/blobs/" + gguf_digest;
         common_download_opts opts;

common/fit.cpp

@@ -1,6 +1,5 @@
 #include "fit.h"
 
-#include "json.h"
 #include "log.h"
 
 #include "../src/llama-ext.h"
@@ -179,7 +178,7 @@ common_device_memory_data_vec common_get_device_memory_data(
 static void common_params_fit_impl(
         const char * path_model, struct llama_model_params * mparams, struct llama_context_params * cparams,
         float * tensor_split, struct llama_model_tensor_buft_override * tensor_buft_overrides,
-        size_t * margins_s, uint32_t n_ctx_min, const common_fit_extra_model * extra, enum ggml_log_level log_level) {
+        size_t * margins_s, uint32_t n_ctx_min, enum ggml_log_level log_level) {
     if (mparams->split_mode == LLAMA_SPLIT_MODE_TENSOR) {
         throw common_params_fit_exception("llama_params_fit is not implemented for SPLIT_MODE_TENSOR, abort");
     }
@@ -192,92 +191,10 @@ static void common_params_fit_impl(
     uint32_t hp_nct = 0; // hparams.n_ctx_train
     uint32_t hp_nex = 0; // hparams.n_expert
 
-    // with non-unified kv, we need to take into account n_streams
-    // for example, if memory can hold more than model's trained context size, we must extend the n_ctx to hold enough n_streams
-    const uint32_t n_streams  = cparams->kv_unified ? 1 : std::max<uint32_t>(1, cparams->n_seq_max);
-    const bool     n_ctx_auto = cparams->n_ctx == 0;
-
-    dmds_t   dmds_extra;       // memory of the extra model, laid out on the devices of the main model
-    uint32_t n_ctx_extra = 0;  // context that memory was measured at
-
-    // the extra model competes for the same memory as the main model, add it to every measurement
-    // its memory is measured again whenever the context it follows changes
-    auto add_extra_memory = [&](dmds_t & dmds) {
-        if (extra == nullptr) {
-            return;
-        }
-
-        if (dmds_extra.empty() || n_ctx_extra != cparams->n_ctx) {
-            std::vector<ggml_backend_dev_t> devs_extra;
-            uint32_t ngl_extra = 0;
-            uint32_t nct_extra = 0;
-            uint32_t nex_extra = 0;
-
-            extra->cparams->n_ctx = cparams->n_ctx;
-
-            LOG_TRC("%s: getting device memory data for the extra model at a context size of %" PRIu32 ":\n",
-                __func__, cparams->n_ctx);
-
-            dmds_t measured;
-            try {
-                measured = common_get_device_memory_data_impl(
-                    extra->path_model, extra->mparams, extra->cparams, devs_extra, ngl_extra, nct_extra, nex_extra, log_level);
-            } catch (const std::runtime_error & e) {
-                // the extra model is optional, fit the main model alone rather than giving up
-                LOG_WRN("%s: failed to measure the memory of the extra model, fitting without it: %s\n", __func__, e.what());
-                dmds_extra = dmds_t(devs.size() + 1);
-                n_ctx_extra = cparams->n_ctx;
-                return;
-            }
-
-            dmds_extra = dmds_t(devs.size() + 1);
-            dmds_extra.back().mb = measured.back().mb;
-            for (size_t je = 0; je < devs_extra.size(); je++) {
-                for (size_t id = 0; id < devs.size(); id++) {
-                    if (devs_extra[je] == devs[id]) {
-                        dmds_extra[id].mb.model   += measured[je].mb.model;
-                        dmds_extra[id].mb.context += measured[je].mb.context;
-                        dmds_extra[id].mb.compute += measured[je].mb.compute;
-                        break;
-                    }
-                }
-            }
-            if (extra->shares_model) {
-                for (llama_device_memory_data & dmd : dmds_extra) {
-                    dmd.mb.model = 0;
-                }
-            }
-
-            n_ctx_extra = cparams->n_ctx;
-        }
-
-        for (size_t id = 0; id < dmds.size(); id++) {
-            dmds[id].mb.model   += dmds_extra[id].mb.model;
-            dmds[id].mb.context += dmds_extra[id].mb.context;
-            dmds[id].mb.compute += dmds_extra[id].mb.compute;
-        }
-    };
-
     // step 1: get data for default parameters and check whether any changes are necessary in the first place
 
     LOG_TRC("%s: getting device memory data for initial parameters:\n", __func__);
-    dmds_t dmds_full = common_get_device_memory_data_impl(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-
-    // saturate instead of overflowing, this also preserves the UINT32_MAX sentinel of n_ctx_min:
-    const uint32_t n_ctx_max       = (uint32_t) std::min<uint64_t>(uint64_t(hp_nct)    * n_streams, UINT32_MAX);
-    const uint32_t n_ctx_min_total = (uint32_t) std::min<uint64_t>(uint64_t(n_ctx_min) * n_streams, UINT32_MAX);
-
-    // llama_context would use only hp_nct in total for n_ctx == 0, resolve the context before measuring anything else:
-    if (n_ctx_auto) {
-        cparams->n_ctx = n_ctx_max;
-        if (n_streams > 1) {
-            LOG_TRC("%s: context size unset and KV cache not unified -> using %" PRIu32 " for %" PRIu32 " sequences:\n",
-                __func__, n_ctx_max, n_streams);
-            dmds_full = common_get_device_memory_data_impl(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-        }
-    }
-    add_extra_memory(dmds_full);
-
+    const dmds_t dmds_full = common_get_device_memory_data_impl(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
     const size_t nd = devs.size(); // number of devices
 
     std::vector<int64_t> margins; // this function uses int64_t rather than size_t for memory sizes to more conveniently handle deficits
@@ -390,8 +307,8 @@ static void common_params_fit_impl(
                     "%s: cannot meet free memory targets on all devices, need to use %" PRId64 " MiB less in total\n",
                     __func__, -global_surplus/MiB);
             }
-            if (n_ctx_auto) {
-                if (n_ctx_max > n_ctx_min_total) {
+            if (cparams->n_ctx == 0) {
+                if (hp_nct > n_ctx_min) {
                     int64_t sum_used_target = sum_free;
                     if (nd == 0) {
                         sum_used_target -= margins[0];
@@ -411,9 +328,8 @@ static void common_params_fit_impl(
                     }
 
                     int64_t sum_projected_used_min_ctx = 0;
-                    cparams->n_ctx = n_ctx_min_total;
-                    dmds_t dmds_min_ctx = common_get_device_memory_data_impl(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-                    add_extra_memory(dmds_min_ctx);
+                    cparams->n_ctx = n_ctx_min;
+                    const dmds_t dmds_min_ctx = common_get_device_memory_data_impl(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
                     if (nd == 0) {
                         sum_projected_used_min_ctx = dmds_min_ctx.back().mb.total();
                     } else {
@@ -423,16 +339,14 @@ static void common_params_fit_impl(
                     }
                     if (sum_used_target > sum_projected_used_min_ctx) {
                         // linear interpolation between minimum and maximum context size:
-                        cparams->n_ctx += (n_ctx_max - n_ctx_min_total) * (sum_used_target - sum_projected_used_min_ctx)
+                        cparams->n_ctx += (hp_nct - n_ctx_min) * (sum_used_target - sum_projected_used_min_ctx)
                             / (sum_projected_used - sum_projected_used_min_ctx);
-                        // round down context for CUDA backend, keep it divisible by the number of streams:
-                        const uint32_t align = 256 * n_streams;
-                        cparams->n_ctx = std::max(cparams->n_ctx - cparams->n_ctx % align, n_ctx_min_total);
+                        cparams->n_ctx = std::max(cparams->n_ctx - cparams->n_ctx % 256, n_ctx_min); // round down context for CUDA backend
 
-                        const int64_t bytes_per_ctx = (sum_projected_used - sum_projected_used_min_ctx) / (n_ctx_max - n_ctx_min_total);
-                        const int64_t memory_reduction = (n_ctx_max - cparams->n_ctx) * bytes_per_ctx;
+                        const int64_t bytes_per_ctx = (sum_projected_used - sum_projected_used_min_ctx) / (hp_nct - n_ctx_min);
+                        const int64_t memory_reduction = (hp_nct - cparams->n_ctx) * bytes_per_ctx;
                         LOG_TRC("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
-                            __func__, n_ctx_max, cparams->n_ctx, memory_reduction/MiB);
+                            __func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
                         if (nd <= 1) {
                             LOG_TRC("%s: entire model can be fit by reducing context\n", __func__);
                             return;
@@ -441,14 +355,14 @@ static void common_params_fit_impl(
                     } else {
                         const int64_t memory_reduction = sum_projected_used - sum_projected_used_min_ctx;
                         LOG_TRC("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
-                            __func__, n_ctx_max, cparams->n_ctx, memory_reduction/MiB);
+                            __func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
                     }
                 } else {
                     if (n_ctx_min == UINT32_MAX) {
-                        LOG_TRC("%s: user has requested full context size of %" PRIu32 " -> no change\n", __func__, n_ctx_max);
+                        LOG_TRC("%s: user has requested full context size of %" PRIu32 " -> no change\n", __func__, hp_nct);
                     } else {
                         LOG_TRC("%s: default model context size is %" PRIu32 " which is <= the min. context size of %" PRIu32 " -> no change\n",
-                            __func__, n_ctx_max, n_ctx_min_total);
+                            __func__, hp_nct, n_ctx_min);
                     }
                 }
             } else {
@@ -593,9 +507,8 @@ static void common_params_fit_impl(
         llama_model_params mparams_copy = *mparams;
         set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, mparams_copy);
 
-        dmds_t dmd_nl = common_get_device_memory_data_impl(
+        const dmds_t dmd_nl = common_get_device_memory_data_impl(
             path_model, &mparams_copy, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-        add_extra_memory(dmd_nl);
 
         LOG_TRC("%s: memory for test allocation by device:\n", func_name);
         for (size_t id = 0; id < nd; id++) {
@@ -622,9 +535,8 @@ static void common_params_fit_impl(
         mparams->tensor_buft_overrides = tensor_buft_overrides;
 
         LOG_TRC("%s: getting device memory data with all MoE tensors moved to system memory:\n", __func__);
-        dmds_t dmds_cpu_moe = common_get_device_memory_data_impl(
+        const dmds_t dmds_cpu_moe = common_get_device_memory_data_impl(
             path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-        add_extra_memory(dmds_cpu_moe);
 
         for (size_t id = 0; id < nd; id++) {
             global_surplus_cpu_moe += dmds_cpu_moe[id].free;
@@ -884,12 +796,11 @@ enum common_params_fit_status common_fit_params(
         llama_model_tensor_buft_override * tensor_buft_overrides,
         size_t * margins,
         uint32_t n_ctx_min,
-        const common_fit_extra_model * extra,
         ggml_log_level log_level) {
     const int64_t t0_us = llama_time_us();
     common_params_fit_status status = COMMON_PARAMS_FIT_STATUS_SUCCESS;
     try {
-        common_params_fit_impl(path_model, mparams, cparams, tensor_split, tensor_buft_overrides, margins, n_ctx_min, extra, log_level);
+        common_params_fit_impl(path_model, mparams, cparams, tensor_split, tensor_buft_overrides, margins, n_ctx_min, log_level);
         LOG_TRC("%s: successfully fit params to free device memory\n", __func__);
     } catch (const common_params_fit_exception & e) {
         LOG_WRN("%s: failed to fit params to free device memory: %s\n", __func__, e.what());
@@ -916,9 +827,6 @@ void common_memory_breakdown_print(const struct llama_context * ctx) {
 
     std::vector<std::array<std::string, 9>> table_data;
     table_data.reserve(devices.size());
-
-    // same data as the table below, for --log-jsonl consumers
-    common_json rows = common_json::array();
     const std::string template_header = "%s: | %s | %s   %s    %s   %s   %s   %s    %s |\n";
     const std::string template_gpu    = "%s: | %s | %s = %s + (%s = %s + %s + %s) + %s |\n";
     const std::string template_other  = "%s: | %s | %s   %s    %s = %s + %s + %s    %s |\n";
@@ -993,19 +901,6 @@ void common_memory_breakdown_print(const struct llama_context * ctx) {
             std::to_string(mb.context / MiB),
             std::to_string(mb.compute / MiB),
             std::to_string(unaccounted / static_cast<int64_t>(MiB))});
-
-        rows.push_back({
-            {"kind",        "device"},
-            {"name",        name},
-            {"description", desc},
-            {"total",       total / MiB},
-            {"free",        free / MiB},
-            {"self",        self / MiB},
-            {"model",       mb.model / MiB},
-            {"context",     mb.context / MiB},
-            {"compute",     mb.compute / MiB},
-            {"unaccounted", unaccounted / static_cast<int64_t>(MiB)},
-        });
     }
 
     // print memory breakdown for host:
@@ -1021,15 +916,6 @@ void common_memory_breakdown_print(const struct llama_context * ctx) {
             std::to_string(mb_host.context / MiB),
             std::to_string(mb_host.compute / MiB),
             ""}); // unaccounted
-
-        rows.push_back({
-            {"kind",    "host"},
-            {"name",    "Host"},
-            {"self",    self / MiB},
-            {"model",   mb_host.model / MiB},
-            {"context", mb_host.context / MiB},
-            {"compute", mb_host.compute / MiB},
-        });
     }
 
     // print memory breakdown for all remaining buffer types:
@@ -1051,16 +937,6 @@ void common_memory_breakdown_print(const struct llama_context * ctx) {
             std::to_string(mb.context / MiB),
             std::to_string(mb.compute / MiB),
             ""}); // unaccounted
-
-        rows.push_back({
-            {"kind",    "buffer_type"},
-            {"name",    name},
-            {"self",    self / MiB},
-            {"model",   mb.model / MiB},
-            {"context", mb.context / MiB},
-            {"compute", mb.compute / MiB},
-        });
-
         seen_buffer_types.insert(buft);
     }
 
@@ -1078,11 +954,6 @@ void common_memory_breakdown_print(const struct llama_context * ctx) {
             __func__, td[1].c_str(), td[2].c_str(), td[3].c_str(), td[4].c_str(), td[5].c_str(),
             td[6].c_str(), td[7].c_str(), td[8].c_str());
     }
-
-    LOG_JSON("fit_memory_breakdown", common_json({
-        {"unit", "MiB"},
-        {"rows", rows},
-    }));
 }
 
 void common_fit_print(

common/fit.h

@@ -11,16 +11,6 @@ enum common_params_fit_status {
     COMMON_PARAMS_FIT_STATUS_ERROR   = 2, // a hard error occurred, e.g. because no model could be found at the specified path
 };
 
-// a second model that shares the devices of the main model, e.g. a draft model
-//   - its context follows the context of the main model, so its memory is measured again whenever that context changes
-//   - shares_model tells the fit that the weights are already counted in the main model, as for an MTP context
-struct common_fit_extra_model {
-    const char * path_model;
-    llama_model_params * mparams;
-    llama_context_params * cparams;
-    bool shares_model;
-};
-
 // fits mparams and cparams to free device memory (assumes system memory is unlimited)
 //   - returns true if the parameters could be successfully modified to fit device memory
 //   - this function is NOT thread safe because it modifies the global llama logger state
@@ -34,7 +24,6 @@ common_params_fit_status common_fit_params(
    llama_model_tensor_buft_override * tensor_buft_overrides, // writable buffer for overrides, needs at least llama_max_tensor_buft_overrides elements
                              size_t * margins,               // margins of memory to leave per device in bytes
                            uint32_t   n_ctx_min,             // minimum context size to set when trying to reduce memory use
-      const common_fit_extra_model * extra,                  // model to fit alongside the main one, nullptr if there is none
                      ggml_log_level   log_level);            // minimum log level to print during fitting, lower levels go to debug log
 
 // print estimated memory to stdout

common/hf-cache.cpp

@@ -44,7 +44,8 @@ static fs::path get_cache_directory() {
             {HOME_DIR,                fs::path(".cache") / "huggingface" / "hub"}
         };
         for (const auto & entry : entries) {
-            if (fs::path base = common_get_path_from_env(entry.var); !base.empty()) {
+            if (auto * p = std::getenv(entry.var); p && *p) {
+                fs::path base(p);
                 return entry.path.empty() ? base : base / entry.path;
             }
         }
@@ -61,10 +62,6 @@ static fs::path get_cache_directory() {
     return cache;
 }
 
-std::string get_cache_path() {
-    return fs_path_to_utf8(get_cache_directory());
-}
-
 static std::string folder_name_to_repo(const std::string & folder) {
     constexpr std::string_view prefix = "models--";
     if (folder.rfind(prefix, 0)) {
@@ -172,6 +169,28 @@ static bool is_valid_subpath(const fs::path & path, const fs::path & subpath) {
     return b_end == b.end();
 }
 
+static void safe_write_file(const fs::path & path, const std::string & data) {
+    fs::path path_tmp = path.string() + ".tmp";
+
+    if (path.has_parent_path()) {
+        fs::create_directories(path.parent_path());
+    }
+
+    std::ofstream file(path_tmp);
+    file << data;
+    file.close();
+
+    std::error_code ec;
+
+    if (!file.fail()) {
+        fs::rename(path_tmp, path, ec);
+    }
+    if (file.fail() || ec) {
+        fs::remove(path_tmp, ec);
+        throw std::runtime_error("failed to write file: " + path.string());
+    }
+}
+
 static common_json api_get(const std::string & url,
                            const std::string & token) {
     auto [cli, parts] = common_http_client(url);
@@ -218,7 +237,6 @@ static std::string get_repo_commit(const std::string & repo_id,
         fs::path refs_path = get_repo_path(repo_id) / "refs";
         std::string name;
         std::string commit;
-        fs::path name_path;
 
         for (const auto & branch : json["branches"]) {
             if (!branch.is_object() ||
@@ -229,28 +247,24 @@ static std::string get_repo_commit(const std::string & repo_id,
             std::string _name = branch["name"].get<std::string>();
             std::string _commit = branch["targetCommit"].get<std::string>();
 
-            if (!is_valid_commit(_commit)) {
-                LOG_WRN("%s: skip invalid commit: %s\n", __func__, _commit.c_str());
+            if (!is_valid_subpath(refs_path, _name)) {
+                LOG_WRN("%s: skip invalid branch: %s\n", __func__, _name.c_str());
                 continue;
             }
-            const fs::path candidate = fs::u8path(_name);
-
-            if (!is_valid_subpath(refs_path, candidate)) {
-                LOG_WRN("%s: skip invalid branch: %s\n", __func__, _name.c_str());
+            if (!is_valid_commit(_commit)) {
+                LOG_WRN("%s: skip invalid commit: %s\n", __func__, _commit.c_str());
                 continue;
             }
 
             if (_name == "main") {
                 name = _name;
                 commit = _commit;
-                name_path = candidate;
                 break;
             }
 
             if (name.empty() || commit.empty()) {
                 name = _name;
                 commit = _commit;
-                name_path = candidate;
             }
         }
 
@@ -259,7 +273,7 @@ static std::string get_repo_commit(const std::string & repo_id,
             return {};
         }
 
-        fs_write_atomic(refs_path / name_path, commit);
+        safe_write_file(refs_path / name, commit);
         return commit;
 
     } catch (const common_json_error & e) {
@@ -308,9 +322,7 @@ hf_files get_repo_files(const std::string & repo_id,
             file.repo_id = repo_id;
             file.path = item["path"].get<std::string>();
 
-            const fs::path subpath = fs::u8path(file.path);
-
-            if (!is_valid_subpath(commit_path, subpath)) {
+            if (!is_valid_subpath(commit_path, file.path)) {
                 LOG_WRN("%s: skip invalid path: %s\n", __func__, file.path.c_str());
                 continue;
             }
@@ -330,12 +342,12 @@ hf_files get_repo_files(const std::string & repo_id,
 
             file.url = endpoint + repo_id + "/resolve/" + commit + "/" + file.path;
 
-            fs::path final_path = commit_path / subpath;
-            file.final_path = fs_path_to_utf8(final_path);
+            fs::path final_path = commit_path / file.path;
+            file.final_path = final_path.string();
 
             if (!file.oid.empty() && !fs::exists(final_path)) {
                 fs::path local_path = blobs_path / file.oid;
-                file.local_path = fs_path_to_utf8(local_path);
+                file.local_path = local_path.string();
             } else {
                 file.local_path = file.final_path;
             }
@@ -381,8 +393,8 @@ static std::string get_cached_ref(const fs::path & repo_path) {
 }
 
 hf_files get_cached_files(const std::string & repo_id) {
-    const fs::path cache_path = get_cache_directory();
-    if (!fs::exists(cache_path)) {
+    fs::path cache_dir = get_cache_directory();
+    if (!fs::exists(cache_dir)) {
         return {};
     }
 
@@ -393,7 +405,7 @@ hf_files get_cached_files(const std::string & repo_id) {
 
     hf_files files;
 
-    for (const auto & repo : fs::directory_iterator(cache_path)) {
+    for (const auto & repo : fs::directory_iterator(cache_dir)) {
         if (!repo.is_directory()) {
             continue;
         }
@@ -402,7 +414,7 @@ hf_files get_cached_files(const std::string & repo_id) {
         if (!fs::exists(snapshots_path)) {
             continue;
         }
-        std::string _repo_id = folder_name_to_repo(fs_path_to_utf8(repo.path().filename()));
+        std::string _repo_id = folder_name_to_repo(repo.path().filename().string());
 
         if (!is_valid_repo_id(_repo_id)) {
             continue;
@@ -425,9 +437,8 @@ hf_files get_cached_files(const std::string & repo_id) {
             if (!path.empty()) {
                 hf_file file;
                 file.repo_id = _repo_id;
-                const auto generic_path = path.generic_u8string();
-                file.path = std::string(generic_path.begin(), generic_path.end());
-                file.local_path = fs_path_to_utf8(entry.path());
+                file.path = path.generic_string();
+                file.local_path = entry.path().string();
                 file.final_path = file.local_path;
                 files.push_back(std::move(file));
             }
@@ -441,8 +452,8 @@ std::string finalize_file(const hf_file & file) {
     static std::atomic<bool> symlinks_disabled{false};
 
     std::error_code ec;
-    fs::path local_path = fs::u8path(file.local_path);
-    fs::path final_path = fs::u8path(file.final_path);
+    fs::path local_path(file.local_path);
+    fs::path final_path(file.final_path);
 
     if (local_path == final_path || fs::exists(final_path, ec)) {
         return file.final_path;
@@ -489,7 +500,7 @@ bool remove_cached_repo(const std::string & repo_id) {
     std::error_code ec;
     auto removed = fs::remove_all(repo_path, ec);
     if (ec) {
-        LOG_ERR("%s: failed to remove repo cache %s: %s\n", __func__, fs_path_to_utf8(repo_path).c_str(), ec.message().c_str());
+        LOG_ERR("%s: failed to remove repo cache %s: %s\n", __func__, repo_path.string().c_str(), ec.message().c_str());
         return false;
     }
     return removed > 0;

common/hf-cache.h

@@ -32,7 +32,4 @@ std::string finalize_file(const hf_file & file);
 // Remove the entire cached directory for a repo, returns true if removed
 bool remove_cached_repo(const std::string & repo_id);
 
-// Returns the HuggingFace hub cache path
-std::string get_cache_path();
-
 } // namespace hf_cache

common/imatrix-loader.cpp

@@ -98,10 +98,9 @@ bool common_imatrix_load(const std::string & fname, common_imatrix & imatrix) {
         return false;
     }
 
-    const int64_t datasets_key    = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_DATASETS);
+    const int64_t datasets_key   = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_DATASETS);
     const int64_t chunk_count_key = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_CHUNK_COUNT);
     const int64_t chunk_size_key  = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_CHUNK_SIZE);
-    const int64_t nextn_key       = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_N_LAYER_NEXTN);
 
     if (datasets_key != -1 && gguf_get_kv_type(ctx_gguf, datasets_key) == GGUF_TYPE_ARRAY &&
         gguf_get_arr_type(ctx_gguf, datasets_key) == GGUF_TYPE_STRING) {
@@ -112,42 +111,33 @@ bool common_imatrix_load(const std::string & fname, common_imatrix & imatrix) {
         }
     }
 
-    imatrix.has_metadata  = datasets_key != -1 && chunk_count_key != -1 && chunk_size_key != -1;
-    imatrix.chunk_count   = chunk_count_key != -1 ? gguf_get_val_u32(ctx_gguf, chunk_count_key) : 0;
-    imatrix.chunk_size    = chunk_size_key  != -1 ? gguf_get_val_u32(ctx_gguf, chunk_size_key) : 0;
-    imatrix.n_layer_nextn = nextn_key       != -1 ? gguf_get_val_u32(ctx_gguf, nextn_key) : 0;
+    imatrix.has_metadata = (datasets_key != -1 && chunk_count_key != -1 && chunk_size_key != -1);
+    imatrix.chunk_count  = (chunk_count_key != -1) ? gguf_get_val_u32(ctx_gguf, chunk_count_key) : 0;
+    imatrix.chunk_size   = (chunk_size_key  != -1) ? gguf_get_val_u32(ctx_gguf, chunk_size_key)  : 0;
 
-    const std::string in_sum_suffix{ ".in_sum" };
     const std::string in_sum2_suffix{ ".in_sum2" };
     const std::string counts_suffix{ ".counts" };
 
-    struct sum_tensors {
-        struct ggml_tensor * in_sum  = nullptr;
-        struct ggml_tensor * in_sum2 = nullptr;
-        struct ggml_tensor * counts  = nullptr;
-    };
+    std::map<std::string, std::pair<struct ggml_tensor *, struct ggml_tensor *>> sums_counts_for;
 
-    std::map<std::string, sum_tensors> sums_counts_for;
     for (struct ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) {
         std::string name = cur->name;
+
         if (name.empty()) { continue; }
 
-        if (string_remove_suffix(name, in_sum_suffix)) {
-            sums_counts_for[std::move(name)].in_sum = cur;
-        } else if (string_remove_suffix(name, in_sum2_suffix)) {
-            sums_counts_for[std::move(name)].in_sum2 = cur;
+        if (string_remove_suffix(name, in_sum2_suffix)) {
+            sums_counts_for[std::move(name)].first = cur;
         } else if (string_remove_suffix(name, counts_suffix)) {
-            sums_counts_for[std::move(name)].counts = cur;
+            sums_counts_for[std::move(name)].second = cur;
         }
     }
 
     for (const auto & sc : sums_counts_for) {
         const std::string &        name    = sc.first;
-        const struct ggml_tensor * in_sum  = sc.second.in_sum;
-        const struct ggml_tensor * in_sum2 = sc.second.in_sum2;
-        const struct ggml_tensor * counts  = sc.second.counts;
+        const struct ggml_tensor * in_sum2 = sc.second.first;
+        const struct ggml_tensor * counts  = sc.second.second;
 
-        if (!in_sum2 || !counts || (in_sum != nullptr && ggml_nelements(in_sum) != ggml_nelements(in_sum2))) {
+        if (!in_sum2 || !counts) {
             LOG_ERR("%s: mismatched sums and counts for %s\n", __func__, name.c_str());
             gguf_free(ctx_gguf);
             ggml_free(ctx);
@@ -175,13 +165,6 @@ bool common_imatrix_load(const std::string & fname, common_imatrix & imatrix) {
         for (int64_t j = 0; j < ncounts; ++j) {
             e.counts[j] = std::lround(((const float *) counts->data)[j]);
         }
-
-        if (in_sum && ggml_nelements(in_sum) == nval) {
-            e.activations.resize(nval);
-            for (int64_t j = 0; j < nval; ++j) {
-                e.activations[j] = ((const float *) in_sum->data)[j];
-            }
-        }
     }
 
     gguf_free(ctx_gguf);

common/imatrix-loader.h

@@ -8,12 +8,9 @@
 inline constexpr const char * LLM_KV_IMATRIX_DATASETS    = "imatrix.datasets";
 inline constexpr const char * LLM_KV_IMATRIX_CHUNK_COUNT = "imatrix.chunk_count";
 inline constexpr const char * LLM_KV_IMATRIX_CHUNK_SIZE  = "imatrix.chunk_size";
-inline constexpr const char * LLM_KV_IMATRIX_STATS_SCHEMA = "imatrix.stats_schema";
-inline constexpr const char * LLM_KV_IMATRIX_N_LAYER_NEXTN = "imatrix.n_layer_nextn";
 
 struct common_imatrix_entry {
     std::vector<float>   sums;
-    std::vector<float>   activations;
     std::vector<int64_t> counts;
 };
 
@@ -22,7 +19,6 @@ struct common_imatrix {
     std::vector<std::string> datasets;
     int32_t chunk_count    = 0;
     int32_t chunk_size     = 0;
-    int32_t n_layer_nextn  = 0;
     bool    is_legacy      = false;
     bool    has_metadata   = false;
 };

common/jinja/caps.cpp

@@ -117,7 +117,6 @@ caps caps_get(jinja::program & prog) {
 
     JJ_DEBUG("%s\n", ">>> Running capability check: typed content");
 
-    bool checks_for_string = false;
     static const std::string content_marker = "STRING_MARKER";
 
     // case: typed content support
@@ -137,10 +136,6 @@ caps caps_get(jinja::program & prog) {
         [&](context &, bool success, value & messages, value &, const std::string & rendered) {
             auto & content = messages->at(0)->at("content");
             caps_print_stats(content, "messages[0].content");
-            if (has_op(content, "test_is_string")) {
-                // checked if content is string
-                checks_for_string = true;
-            }
             bool used_as_array = has_op(content, "selectattr") || has_op(content, "array_access");
             if (used_as_array) {
                 // accessed as an array
@@ -156,33 +151,6 @@ caps caps_get(jinja::program & prog) {
         }
     );
 
-    if (checks_for_string) {
-        caps_try_execute(
-            prog,
-            [&]() {
-                // messages
-                return json::array({
-                    {
-                        {"role", "user"},
-                        {"content", json::array({
-                        })}
-                    }
-                });
-            },
-            nullptr, // ctx_fn
-            nullptr, // tools_fn
-            [&](context &, bool success, value & messages, value &, const std::string &) {
-                auto & content = messages->at(0)->at("content");
-                caps_print_stats(content, "messages[0].content");
-                bool used_as_array = has_op(content, "selectattr") || has_op(content, "array_access");
-                if (used_as_array && success) {
-                    // accessed as an array
-                    result.supports_typed_content = true;
-                }
-            }
-        );
-    }
-
     JJ_DEBUG("%s\n", ">>> Running capability check: system prompt");
 
     // case: system prompt support

common/jinja/parser.cpp

@@ -429,23 +429,15 @@ private:
             bool negate = false;
             if (is_identifier("not")) { ++current; negate = true; }
             auto test_id = parse_primary_expression();
-            if (is(token::open_paren)) {
-                test_id = parse_call_expression(std::move(test_id));
-            } else if (is(token::numeric_literal) || is(token::string_literal) || is(token::open_curly_bracket) || is(token::open_square_bracket) ||
-                    (is(token::identifier) && !is_identifier("and") && !is_identifier("or") && !is_identifier("else"))) {
-                size_t call_pos = current;
-                statements args;
-                args.push_back(parse_unary_expression());
-                test_id = mk_stmt<call_expression>(call_pos, std::move(test_id), std::move(args));
-            }
+            // FIXME: tests can also be expressed like this: if x is eq 3
+            if (is(token::open_paren)) test_id = parse_call_expression(std::move(test_id));
             operand = mk_stmt<test_expression>(start_pos, std::move(operand), negate, std::move(test_id));
         }
         return operand;
     }
 
     statement_ptr parse_filter_expression() {
-        // Filters/tests bind outside unary so -n|abs is (-n)|abs, not -(n|abs).
-        auto operand = parse_unary_expression();
+        auto operand = parse_call_member_expression();
         while (is(token::pipe)) {
             size_t start_pos = current;
             ++current; // consume pipe
@@ -456,15 +448,6 @@ private:
         return operand;
     }
 
-    statement_ptr parse_unary_expression() {
-        if (is(token::unary_operator)) {
-            size_t start_pos = current;
-            auto op = next();
-            return mk_stmt<unary_expression>(start_pos, op, parse_unary_expression());
-        }
-        return parse_call_member_expression();
-    }
-
     statement_ptr parse_call_member_expression() {
         // Handle member expressions recursively
         auto member = parse_member_expression(parse_primary_expression());

common/jinja/runtime.cpp

@@ -51,7 +51,7 @@ static void ensure_key_type_allowed(const value & val) {
 }
 
 // execute with error handling
-value statement::execute(context & ctx) const {
+value statement::execute(context & ctx) {
     try {
         return execute_impl(ctx);
     } catch (const continue_statement::signal & /* ex */) {
@@ -80,7 +80,7 @@ value statement::execute(context & ctx) const {
     }
 }
 
-value identifier::execute_impl(context & ctx) const {
+value identifier::execute_impl(context & ctx) {
     auto it = ctx.get_val(val);
     auto builtins = global_builtins();
     if (!it->is_undefined()) {
@@ -98,7 +98,7 @@ value identifier::execute_impl(context & ctx) const {
     }
 }
 
-value object_literal::execute_impl(context & ctx) const {
+value object_literal::execute_impl(context & ctx) {
     auto obj = mk_val<value_object>();
     for (const auto & pair : val) {
         value key = pair.first->execute(ctx);
@@ -109,7 +109,7 @@ value object_literal::execute_impl(context & ctx) const {
     return obj;
 }
 
-value binary_expression::execute_impl(context & ctx) const {
+value binary_expression::execute_impl(context & ctx) {
     value left_val = left->execute(ctx);
 
     // Logical operators
@@ -167,12 +167,6 @@ value binary_expression::execute_impl(context & ctx) const {
         }
         throw std::runtime_error("Cannot perform operation " + op.value + " on undefined values");
     } else if (is_val<value_none>(left_val) || is_val<value_none>(right_val)) {
-        if (!is_val<value_none>(right_val) && (op.value == "in" || op.value == "not in")) {
-            // case: none in {'low': 1}
-            // A null left operand is looked up like any other value.
-            bool member = test_is_in();
-            return mk_val<value_bool>(op.value == "in" ? member : !member);
-        }
         if (op.value == "+" || op.value == "~") {
             value res = mk_val<value_undefined>();
             if (workaround_concat_null_with_str(res)) {
@@ -317,7 +311,9 @@ static value try_builtin_func(context & ctx, const std::string & name, value & i
     throw std::runtime_error("Unknown (built-in) filter '" + name + "' for type " + input->type());
 }
 
-static value apply_filter(context & ctx, const statement_ptr & filter, value input) {
+value filter_expression::execute_impl(context & ctx) {
+    value input = operand ? operand->execute(ctx) : val;
+
     JJ_DEBUG("Applying filter to %s", input->type().c_str());
 
     auto set_filter_alias = [](auto & filter_id) {
@@ -373,21 +369,22 @@ static value apply_filter(context & ctx, const statement_ptr & filter, value inp
     }
 }
 
-value filter_expression::execute_impl(context & ctx) const {
-    return apply_filter(ctx, filter, operand->execute(ctx));
-}
-
-value filter_statement::execute_impl(context & ctx) const {
+value filter_statement::execute_impl(context & ctx) {
     // eval body as string, then apply filter
     auto body_val = exec_statements(body, ctx);
     value_string parts = mk_val<value_string>();
     gather_string_parts_recursive(body_val, parts);
 
     JJ_DEBUG("FilterStatement: applying filter to body string of length %zu", parts->val_str.length());
-    return apply_filter(ctx, filter, parts);
+    filter_expression filter_expr(std::move(parts), std::move(filter));
+    value out = filter_expr.execute(ctx);
+
+    // this node can be reused later, make sure filter is preserved
+    this->filter = std::move(filter_expr.filter);
+    return out;
 }
 
-value test_expression::execute_impl(context & ctx) const {
+value test_expression::execute_impl(context & ctx) {
     // NOTE: "value is something" translates to function call "test_is_something(value)"
     const auto & builtins = global_builtins();
 
@@ -415,18 +412,12 @@ value test_expression::execute_impl(context & ctx) const {
         throw std::runtime_error("Invalid test expression");
     }
 
-    const std::string test_name = "test_is_" + test_id;
-    auto it = builtins.find(test_name);
-    JJ_DEBUG("Test expression %s '%s' %s (using function '%s')", operand->type().c_str(), test_id.c_str(), negate ? "(negate)" : "", test_name.c_str());
+    auto it = builtins.find("test_is_" + test_id);
+    JJ_DEBUG("Test expression %s '%s' %s (using function 'test_is_%s')", operand->type().c_str(), test_id.c_str(), negate ? "(negate)" : "", test_id.c_str());
     if (it == builtins.end()) {
         throw std::runtime_error("Unknown test '" + test_id + "'");
     }
 
-    if (ctx.is_get_stats) {
-        value_t::stats_t::mark_used(input);
-        input->stats.ops.insert(test_name);
-    }
-
     auto res = it->second(args);
 
     if (negate) {
@@ -436,7 +427,7 @@ value test_expression::execute_impl(context & ctx) const {
     }
 }
 
-value unary_expression::execute_impl(context & ctx) const {
+value unary_expression::execute_impl(context & ctx) {
     value operand_val = argument->execute(ctx);
     JJ_DEBUG("Executing unary expression with operator '%s'", op.value.c_str());
 
@@ -450,17 +441,12 @@ value unary_expression::execute_impl(context & ctx) const {
         } else {
             throw std::runtime_error("Unary - operator requires numeric operand");
         }
-    } else if (op.value == "+") {
-        if (is_val<value_int>(operand_val) || is_val<value_float>(operand_val)) {
-            return operand_val;
-        }
-        throw std::runtime_error("Unary + operator requires numeric operand");
     }
 
     throw std::runtime_error("Unknown unary operator '" + op.value + "'");
 }
 
-value if_statement::execute_impl(context & ctx) const {
+value if_statement::execute_impl(context & ctx) {
     value test_val = test->execute(ctx);
 
     auto out = mk_val<value_array>();
@@ -481,14 +467,20 @@ value if_statement::execute_impl(context & ctx) const {
     return str;
 }
 
-value for_statement::execute_impl(context & ctx) const {
+value for_statement::execute_impl(context & ctx) {
     context scope(ctx); // new scope for loop variables
 
-    const jinja::select_expression * select_expr = cast_stmt<select_expression>(iterable);
+    jinja::select_expression * select_expr = cast_stmt<select_expression>(iterable);
     statement_ptr test_expr_nullptr;
 
-    const statement_ptr & iter_expr = select_expr ? select_expr->lhs : iterable;
-    const statement_ptr & test_expr = select_expr ? select_expr->test : test_expr_nullptr;
+    statement_ptr & iter_expr = [&]() -> statement_ptr & {
+        auto tmp = cast_stmt<select_expression>(iterable);
+        return tmp ? tmp->lhs : iterable;
+    }();
+    statement_ptr & test_expr = [&]() -> statement_ptr & {
+        auto tmp = cast_stmt<select_expression>(iterable);
+        return tmp ? tmp->test : test_expr_nullptr;
+    }();
 
     JJ_DEBUG("Executing for statement, iterable type: %s", iter_expr->type().c_str());
 
@@ -537,6 +529,8 @@ value for_statement::execute_impl(context & ctx) const {
 
     std::vector<value> filtered_items;
     for (size_t i = 0; i < items.size(); ++i) {
+        context loop_scope(scope);
+
         value current = items[i];
 
         std::function<void(context&)> scope_update_fn = [](context &) { /* no-op */};
@@ -582,7 +576,6 @@ value for_statement::execute_impl(context & ctx) const {
         }
 
         if (select_expr && test_expr) {
-            context loop_scope(scope);
             scope_update_fn(loop_scope);
             value test_val = test_expr->execute(loop_scope);
             if (!test_val->as_bool()) {
@@ -640,7 +633,7 @@ value for_statement::execute_impl(context & ctx) const {
     return str;
 }
 
-value set_statement::execute_impl(context & ctx) const {
+value set_statement::execute_impl(context & ctx) {
     auto rhs = val ? val->execute(ctx) : exec_statements(body, ctx);
 
     if (is_stmt<identifier>(assignee)) {
@@ -739,7 +732,7 @@ static inline void bind_parameters(const std::string & name, const statements &
     }
 }
 
-value macro_statement::execute_impl(context & ctx) const {
+value macro_statement::execute_impl(context & ctx) {
     if (!is_stmt<identifier>(this->name)) {
         throw std::runtime_error("Macro name must be an identifier");
     }
@@ -762,7 +755,7 @@ value macro_statement::execute_impl(context & ctx) const {
     return mk_val<value_undefined>();
 }
 
-value call_statement::execute_impl(context & ctx) const {
+value call_statement::execute_impl(context & ctx) {
     auto call_expr = cast_stmt<call_expression>(this->call);
     if (!call_expr) {
         throw std::runtime_error("Call statement requires a valid call expression");
@@ -802,7 +795,7 @@ value call_statement::execute_impl(context & ctx) const {
     return callee_func->invoke(args);
 }
 
-value member_expression::execute_impl(context & ctx) const {
+value member_expression::execute_impl(context & ctx) {
     value object = this->object->execute(ctx);
 
     value property;
@@ -837,12 +830,6 @@ value member_expression::execute_impl(context & ctx) const {
         } else {
             property = this->property->execute(ctx);
         }
-    } else if (is_stmt<integer_literal>(this->property)) {
-        // syntax: obj.index
-        property = mk_val<value_int>(cast_stmt<integer_literal>(this->property)->val);
-        if (property->as_int() < 0) {
-            throw std::runtime_error("Static member property cannot be negative");
-        }
     } else {
         // syntax: obj.prop
         if (!is_stmt<identifier>(this->property)) {
@@ -887,7 +874,7 @@ value member_expression::execute_impl(context & ctx) const {
         JJ_DEBUG("Accessed property '%s' value, got type: %s", key.c_str(), val->type().c_str());
 
     } else if (is_val<value_array>(object) || is_val<value_string>(object)) {
-        if (is_val<value_int>(property) || is_val<value_bool>(property)) {
+        if (is_val<value_int>(property)) {
             int64_t index = property->as_int();
             JJ_DEBUG("Accessing %s index %d", object->type().c_str(), (int)index);
             if (is_val<value_array>(object)) {
@@ -910,6 +897,8 @@ value member_expression::execute_impl(context & ctx) const {
             JJ_DEBUG("Accessing %s built-in '%s'", is_val<value_array>(object) ? "array" : "string", key.c_str());
             val = try_builtin_func(ctx, key, object, true);
 
+        } else {
+            throw std::runtime_error("Cannot access property with non-string/non-number: got " + property->type());
         }
     } else {
         if (!is_val<value_string>(property)) {
@@ -923,17 +912,17 @@ value member_expression::execute_impl(context & ctx) const {
         value_t::stats_t::mark_used(val);
         value_t::stats_t::mark_used(object);
         value_t::stats_t::mark_used(property);
-        if (is_val<value_object>(object) || is_val<value_string>(property) || is_val<value_float>(property) || is_val<value_array>(property) || is_val<value_none>(property)) {
-            object->stats.ops.insert("object_access");
-        } else if (is_val<value_int>(property) || is_val<value_bool>(property)) {
+        if (is_val<value_int>(property)) {
             object->stats.ops.insert("array_access");
+        } else if (is_val<value_string>(property)) {
+            object->stats.ops.insert("object_access");
         }
     }
 
     return val;
 }
 
-value call_expression::execute_impl(context & ctx) const {
+value call_expression::execute_impl(context & ctx) {
     // gather arguments
     func_args args(ctx);
     for (auto & arg_stmt : this->args) {
@@ -951,7 +940,7 @@ value call_expression::execute_impl(context & ctx) const {
     return callee_func->invoke(args);
 }
 
-value keyword_argument_expression::execute_impl(context & ctx) const {
+value keyword_argument_expression::execute_impl(context & ctx) {
     if (!is_stmt<identifier>(key)) {
         throw std::runtime_error("Keyword argument key must be identifiers");
     }
@@ -975,7 +964,7 @@ std::string runtime::debug_dump_program(const program & prog, const std::string
         return std::string(lvl * 2, ' ');
     };
 
-    ctx.visitor = [&](bool is_leaf, const statement * node, std::vector<visitor_pair> children) {
+    ctx.visitor = [&](bool is_leaf, statement * node, std::vector<visitor_pair> children) {
         oss << indent(lvl) << node->type() << ":\n";
         lvl++;
         if (is_leaf) {

common/jinja/runtime.h

@@ -48,9 +48,9 @@ const T * cast_stmt(const statement_ptr & ptr) {
 void enable_debug(bool enable);
 
 // for visiting AST nodes
-// function signature: void(bool is_leaf, const statement * node, pair of <label, children>)
-using visitor_pair = std::pair<std::string, std::vector<const statement *>>;
-using visitor_fn = std::function<void(bool, const statement *, std::vector<visitor_pair>)>;
+// function signature: void(bool is_leaf, statement * node, pair of <label, children>)
+using visitor_pair = std::pair<std::string, std::vector<statement *>>;
+using visitor_fn = std::function<void(bool, statement *, std::vector<visitor_pair>)>;
 
 struct context {
     std::shared_ptr<std::string> src; // for debugging; use shared_ptr to avoid copying on scope creation
@@ -107,8 +107,8 @@ private:
 };
 
 // utils for visiting AST nodes
-static std::vector<const statement *> stmts_to_ptr(const statements & stmts) {
-    std::vector<const statement *> children;
+static std::vector<statement *> stmts_to_ptr(const statements & stmts) {
+    std::vector<statement *> children;
     for (const auto & stmt : stmts) {
         children.push_back(stmt.get());
     }
@@ -117,18 +117,17 @@ static std::vector<const statement *> stmts_to_ptr(const statements & stmts) {
 
 /**
  * Base class for all nodes in the AST.
- * The AST is shared between threads, so visit and execute must be const.
  */
 struct statement {
     size_t pos; // position in source, for debugging
     virtual ~statement() = default;
     virtual std::string type() const { return "Statement"; }
-    virtual void visit(context & ctx) const { ctx.visitor(true, this, {}); }
+    virtual void visit(context & ctx) { ctx.visitor(true, this, {}); }
 
     // execute_impl must be overridden by derived classes
-    virtual value execute_impl(context &) const { throw_exec_error(); }
+    virtual value execute_impl(context &) { throw_exec_error(); }
     // execute is the public method to execute a statement with error handling
-    value execute(context &) const;
+    value execute(context &);
 
 private:
     [[noreturn]] void throw_exec_error() const {
@@ -167,7 +166,7 @@ struct program : public statement {
     program() = default;
     explicit program(statements && body) : body(std::move(body)) {}
     std::string type() const override { return "Program"; }
-    [[noreturn]] value execute_impl(context &) const override {
+    [[noreturn]] value execute_impl(context &) override {
         throw std::runtime_error("Cannot execute program directly, use jinja::runtime instead");
     }
 };
@@ -183,8 +182,8 @@ struct if_statement : public statement {
     }
 
     std::string type() const override { return "If"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"test", {test.get()}},
             {"body", stmts_to_ptr(body)},
@@ -214,8 +213,8 @@ struct for_statement : public statement {
     }
 
     std::string type() const override { return "For"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"loopvar", {loopvar.get()}},
             {"iterable", {iterable.get()}},
@@ -234,7 +233,7 @@ struct break_statement : public statement {
         }
     };
 
-    [[noreturn]] value execute_impl(context &) const override {
+    [[noreturn]] value execute_impl(context &) override {
         throw break_statement::signal();
     }
 };
@@ -248,7 +247,7 @@ struct continue_statement : public statement {
         }
     };
 
-    [[noreturn]] value execute_impl(context &) const override {
+    [[noreturn]] value execute_impl(context &) override {
         throw continue_statement::signal();
     }
 };
@@ -256,7 +255,7 @@ struct continue_statement : public statement {
 // do nothing
 struct noop_statement : public statement {
     std::string type() const override { return "Noop"; }
-    value execute_impl(context &) const override {
+    value execute_impl(context &) override {
         return mk_val<value_undefined>();
     }
 };
@@ -273,8 +272,8 @@ struct set_statement : public statement {
     }
 
     std::string type() const override { return "Set"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"assignee", {assignee.get()}},
             {"value", {val.get()}},
@@ -295,8 +294,8 @@ struct macro_statement : public statement {
     }
 
     std::string type() const override { return "Macro"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"name", {name.get()}},
             {"args", stmts_to_ptr(args)},
@@ -309,7 +308,7 @@ struct comment_statement : public statement {
     std::string val;
     explicit comment_statement(const std::string & v) : val(v) {}
     std::string type() const override { return "Comment"; }
-    value execute_impl(context &) const override {
+    value execute_impl(context &) override {
         return mk_val<value_undefined>();
     }
 };
@@ -319,7 +318,7 @@ struct comment_statement : public statement {
 // Represents an omitted expression in a computed member, e.g. `a[]`.
 struct blank_expression : public expression {
     std::string type() const override { return "BlankExpression"; }
-    value execute_impl(context &) const override {
+    value execute_impl(context &) override {
         return mk_val<value_undefined>();
     }
 };
@@ -335,8 +334,8 @@ struct member_expression : public expression {
         chk_type<expression>(this->property);
     }
     std::string type() const override { return "MemberExpression"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"object", {object.get()}},
             {"property", {property.get()}}
@@ -354,8 +353,8 @@ struct call_expression : public expression {
         for (const auto& arg : this->args) chk_type<expression>(arg);
     }
     std::string type() const override { return "CallExpression"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"callee", {callee.get()}},
             {"args", stmts_to_ptr(args)}
@@ -370,7 +369,7 @@ struct identifier : public expression {
     std::string val;
     explicit identifier(const std::string & val) : val(val) {}
     std::string type() const override { return "Identifier"; }
-    value execute_impl(context & ctx) const override;
+    value execute_impl(context & ctx) override;
 };
 
 // Literals
@@ -379,7 +378,7 @@ struct integer_literal : public expression {
     int64_t val;
     explicit integer_literal(int64_t val) : val(val) {}
     std::string type() const override { return "IntegerLiteral"; }
-    value execute_impl(context &) const override {
+    value execute_impl(context &) override {
         return mk_val<value_int>(val);
     }
 };
@@ -388,7 +387,7 @@ struct float_literal : public expression {
     double val;
     explicit float_literal(double val) : val(val) {}
     std::string type() const override { return "FloatLiteral"; }
-    value execute_impl(context &) const override {
+    value execute_impl(context &) override {
         return mk_val<value_float>(val);
     }
 };
@@ -397,7 +396,7 @@ struct string_literal : public expression {
     std::string val;
     explicit string_literal(const std::string & val) : val(val) {}
     std::string type() const override { return "StringLiteral"; }
-    value execute_impl(context &) const override {
+    value execute_impl(context &) override {
         return mk_val<value_string>(val);
     }
 };
@@ -408,7 +407,7 @@ struct array_literal : public expression {
         for (const auto& item : this->val) chk_type<expression>(item);
     }
     std::string type() const override { return "ArrayLiteral"; }
-    value execute_impl(context & ctx) const override {
+    value execute_impl(context & ctx) override {
         auto arr = mk_val<value_array>();
         for (const auto & item_stmt : val) {
             arr->push_back(item_stmt->execute(ctx));
@@ -423,7 +422,7 @@ struct tuple_literal : public expression {
         for (const auto& item : this->val) chk_type<expression>(item);
     }
     std::string type() const override { return "TupleLiteral"; }
-    value execute_impl(context & ctx) const override {
+    value execute_impl(context & ctx) override {
         auto arr = mk_val<value_array>();
         for (const auto & item_stmt : val) {
             arr->push_back(item_stmt->execute(ctx));
@@ -442,7 +441,7 @@ struct object_literal : public expression {
         }
     }
     std::string type() const override { return "ObjectLiteral"; }
-    value execute_impl(context & ctx) const override;
+    value execute_impl(context & ctx) override;
 };
 
 // Complex Expressions
@@ -463,8 +462,8 @@ struct binary_expression : public expression {
         chk_type<expression>(this->right);
     }
     std::string type() const override { return "BinaryExpression"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"left", {left.get()}},
             {"right", {right.get()}}
@@ -477,7 +476,10 @@ struct binary_expression : public expression {
  * Operator precedence: https://github.com/pallets/jinja/issues/379#issuecomment-168076202
  */
 struct filter_expression : public expression {
+    // either an expression or a value is allowed
     statement_ptr operand;
+    value_string val; // will be set by filter_statement
+
     statement_ptr filter;
 
     filter_expression(statement_ptr && operand, statement_ptr && filter)
@@ -486,9 +488,14 @@ struct filter_expression : public expression {
         chk_type<identifier, call_expression>(this->filter);
     }
 
+    filter_expression(value_string && val, statement_ptr && filter)
+        : val(std::move(val)), filter(std::move(filter)) {
+        chk_type<identifier, call_expression>(this->filter);
+    }
+
     std::string type() const override { return "FilterExpression"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"operand", {operand.get()}},
             {"filter", {filter.get()}}
@@ -505,8 +512,8 @@ struct filter_statement : public statement {
         chk_type<identifier, call_expression>(this->filter);
     }
     std::string type() const override { return "FilterStatement"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"filter", {filter.get()}},
             {"body", stmts_to_ptr(body)}
@@ -530,14 +537,14 @@ struct select_expression : public expression {
         chk_type<expression>(this->test);
     }
     std::string type() const override { return "SelectExpression"; }
-    value execute_impl(context & ctx) const override {
+    value execute_impl(context & ctx) override {
         auto predicate = test->execute_impl(ctx);
         if (!predicate->as_bool()) {
             return mk_val<value_undefined>();
         }
         return lhs->execute_impl(ctx);
     }
-    void visit(context & ctx) const override {
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"lhs", {lhs.get()}},
             {"test", {test.get()}}
@@ -560,8 +567,8 @@ struct test_expression : public expression {
         chk_type<identifier, call_expression>(this->test);
     }
     std::string type() const override { return "TestExpression"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"operand", {operand.get()}},
             {"test", {test.get()}}
@@ -581,8 +588,8 @@ struct unary_expression : public expression {
         chk_type<expression>(this->argument);
     }
     std::string type() const override { return "UnaryExpression"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"argument", {argument.get()}}
         });
@@ -601,10 +608,10 @@ struct slice_expression : public expression {
         chk_type<expression>(this->step_expr);
     }
     std::string type() const override { return "SliceExpression"; }
-    [[noreturn]] value execute_impl(context &) const override {
+    [[noreturn]] value execute_impl(context &) override {
         throw std::runtime_error("must be handled by MemberExpression");
     }
-    void visit(context & ctx) const override {
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"start_expr", {start_expr.get()}},
             {"stop_expr", {stop_expr.get()}},
@@ -623,8 +630,8 @@ struct keyword_argument_expression : public expression {
         chk_type<expression>(this->val);
     }
     std::string type() const override { return "KeywordArgumentExpression"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"key", {key.get()}},
             {"val", {val.get()}}
@@ -638,7 +645,7 @@ struct spread_expression : public expression {
         chk_type<expression>(this->argument);
     }
     std::string type() const override { return "SpreadExpression"; }
-    void visit(context & ctx) const override {
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"argument", {argument.get()}}
         });
@@ -656,8 +663,8 @@ struct call_statement : public statement {
         for (const auto & arg : this->caller_args) chk_type<expression>(arg);
     }
     std::string type() const override { return "CallStatement"; }
-    value execute_impl(context & ctx) const override;
-    void visit(context & ctx) const override {
+    value execute_impl(context & ctx) override;
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"call", {call.get()}},
             {"caller_args", stmts_to_ptr(caller_args)},
@@ -678,7 +685,7 @@ struct ternary_expression : public expression {
         chk_type<expression>(this->false_expr);
     }
     std::string type() const override { return "Ternary"; }
-    value execute_impl(context & ctx) const override {
+    value execute_impl(context & ctx) override {
         value cond_val = condition->execute(ctx);
         if (cond_val->as_bool()) {
             return true_expr->execute(ctx);
@@ -686,7 +693,7 @@ struct ternary_expression : public expression {
             return false_expr->execute(ctx);
         }
     }
-    void visit(context & ctx) const override {
+    void visit(context & ctx) override {
         ctx.visitor(false, this, {
             {"condition", {condition.get()}},
             {"true_expr", {true_expr.get()}},

common/jinja/value.cpp

@@ -149,13 +149,6 @@ static value test_type_fn(const func_args & args) {
     JJ_DEBUG("test_type_fn: type=%s, %s or %s result=%d", typeid(T).name(), typeid(U).name(), typeid(V).name(), is_type ? 1 : 0);
     return mk_val<value_bool>(is_type);
 }
-template<typename T, typename U, typename V, typename W>
-static value test_type_fn(const func_args & args) {
-    args.ensure_count(1);
-    bool is_type = is_val<T>(args.get_pos(0)) || is_val<U>(args.get_pos(0)) || is_val<V>(args.get_pos(0)) || is_val<W>(args.get_pos(0));
-    JJ_DEBUG("test_type_fn: type=%s, %s, %s or %s result=%d", typeid(T).name(), typeid(U).name(), typeid(V).name(), typeid(W).name(), is_type ? 1 : 0);
-    return mk_val<value_bool>(is_type);
-}
 template<value_compare_op op>
 static value test_compare_fn(const func_args & args) {
     args.ensure_count(2, 2);
@@ -268,30 +261,6 @@ static value tojson(const func_args & args) {
     return mk_val<value_string>(json_str);
 }
 
-static value & get_attribute(const value & val, const value & attr, value & default_val) {
-    if (!attr->is_undefined()) {
-        if (is_val<value_array>(val)) {
-            value idx = attr;
-
-            if (is_val<value_string>(attr)) {
-                const std::string s = attr->as_string().str();
-                if (!s.empty() && std::all_of(s.begin(), s.end(), [](unsigned char c) { return std::isdigit(c); })) {
-                    try {
-                        idx = mk_val<value_int>(std::stoll(s));
-                    } catch (...) {
-                        idx = mk_val<value_undefined>();
-                    }
-                }
-            }
-
-            return val->at(idx, default_val);
-        } else if (is_val<value_object>(val)) {
-            return val->at(attr, default_val);
-        }
-    }
-    return default_val;
-}
-
 template<bool is_reject>
 static value selectattr(const func_args & args) {
     args.ensure_count(2, 4);
@@ -305,7 +274,10 @@ static value selectattr(const func_args & args) {
     if (args.count() == 2) {
         // example: array | selectattr("active")
         for (const auto & item : arr) {
-            value attr_val = get_attribute(item, attribute, val_default);
+            if (!is_val<value_object>(item)) {
+                throw raised_exception("selectattr: item is not an object");
+            }
+            value attr_val = item->at(attribute, val_default);
             bool is_selected = attr_val->as_bool();
             if constexpr (is_reject) is_selected = !is_selected;
             if (is_selected) out->push_back(item);
@@ -346,7 +318,10 @@ static value selectattr(const func_args & args) {
         }
         auto test_fn = it->second;
         for (const auto & item : arr) {
-            value attr_val = get_attribute(item, attribute, val_default);
+            if (!is_val<value_object>(item)) {
+                throw raised_exception("selectattr: item is not an object");
+            }
+            value attr_val = item->at(attribute, val_default);
             func_args test_args(args.ctx);
             test_args.push_back(attr_val); // attribute value
             test_args.push_back(extra_arg); // extra argument
@@ -373,43 +348,6 @@ static value default_value(const func_args & args) {
     return no_value ? args.get_pos(1) : args.get_pos(0);
 }
 
-static value toobject(const func_args & args) {
-    auto out = mk_val<value_object>();
-    value iter = args.get_pos(0, mk_val<value_undefined>());
-    bool iter_first = false;
-    if (is_val<value_array>(iter)) {
-        iter_first = true;
-        for (const auto & it : iter->as_array()) {
-            if (is_val<value_array>(it) && it->as_array().size() == 2) {
-                auto tuple = it->as_array();
-                auto key = tuple[0];
-                auto val = tuple[1];
-                JJ_DEBUG("namespace/dict: adding key '%s'", key->as_string().str().c_str());
-                out->insert(key, val);
-            } else {
-                throw raised_exception("namespace/dict() iterable argument must consist of tuples, not " + it->type());
-            }
-        }
-    } else if (is_val<value_object>(iter)) {
-        iter_first = true;
-        for (const auto & pair : iter->as_ordered_object()) {
-            JJ_DEBUG("namespace/dict: adding key '%s'", pair.first->as_string().str().c_str());
-            out->insert(pair.first, pair.second);
-        }
-    }
-    for (const auto & arg : args.get_args()) {
-        if (is_val<value_kwarg>(arg)) {
-            auto kwarg = cast_val<value_kwarg>(arg);
-            JJ_DEBUG("namespace/dict: adding key '%s'", kwarg->key.c_str());
-            out->insert(kwarg->key, kwarg->val);
-        } else if (!iter_first) {
-            throw raised_exception("namespace/dict() arguments must be kwargs, dict and/or iterable of tuples, not " + arg->type());
-        }
-        iter_first = false;
-    }
-    return out;
-}
-
 const func_builtins & global_builtins() {
     static const func_builtins builtins = {
         {"raise_exception", [](const func_args & args) -> value {
@@ -417,8 +355,18 @@ const func_builtins & global_builtins() {
             std::string msg = args.get_pos(0)->as_string().str();
             throw raised_exception("Jinja Exception: " + msg);
         }},
-        {"dict", toobject},
-        {"namespace", toobject},
+        {"namespace", [](const func_args & args) -> value {
+            auto out = mk_val<value_object>();
+            for (const auto & arg : args.get_args()) {
+                if (!is_val<value_kwarg>(arg)) {
+                    throw raised_exception("namespace() arguments must be kwargs");
+                }
+                auto kwarg = cast_val<value_kwarg>(arg);
+                JJ_DEBUG("namespace: adding key '%s'", kwarg->key.c_str());
+                out->insert(kwarg->key, kwarg->val);
+            }
+            return out;
+        }},
         {"strftime_now", [](const func_args & args) -> value {
             args.ensure_vals<value_string>();
             std::string format = args.get_pos(0)->as_string().str();
@@ -503,8 +451,8 @@ const func_builtins & global_builtins() {
         {"test_is_integer", test_type_fn<value_int>},
         {"test_is_float", test_type_fn<value_float>},
         {"test_is_number", test_type_fn<value_int, value_float>},
-        {"test_is_iterable", test_type_fn<value_object, value_array, value_string, value_undefined>},
-        {"test_is_sequence", test_type_fn<value_object, value_array, value_string, value_undefined>},
+        {"test_is_iterable", test_type_fn<value_array, value_string, value_undefined>},
+        {"test_is_sequence", test_type_fn<value_array, value_string, value_undefined>},
         {"test_is_mapping", test_type_fn<value_object>},
         {"test_is_lower", [](const func_args & args) -> value {
             args.ensure_vals<value_string>();
@@ -567,28 +515,8 @@ const func_builtins & global_builtins() {
         }},
         {"test_is_sameas", [](const func_args & args) -> value {
             // Check if an object points to the same memory address as another object
-            args.ensure_count(2);
-            auto a = args.get_pos(0);
-            auto b = args.get_pos(1);
-            bool res = false;
-            if (!is_val<value_undefined>(a) && !is_val<value_undefined>(b)) {
-                if (is_val<value_none>(a) && is_val<value_none>(b)) {
-                    res = true;
-                } else if (is_val<value_bool>(a) && is_val<value_bool>(b)) {
-                    if (a->as_bool() == b->as_bool()) {
-                        res = true;
-                    }
-                } else if (is_val<value_int>(a) && is_val<value_int>(b)) {
-                    const int64_t x = a->as_int();
-                    // Allow comparison within small-int cache range
-                    if (x >= -5 && x <= 256 && x == b->as_int()) {
-                        res = true;
-                    }
-                } else if (a == b) {
-                    res = true;
-                }
-            }
-            return mk_val<value_bool>(res);
+            (void)args;
+            throw not_implemented_exception("sameas test not implemented");
         }},
         {"test_is_escaped", [](const func_args & args) -> value {
             (void)args;
@@ -1093,14 +1021,22 @@ const func_builtins & value_array_t::get_builtins() const {
             }
             value val_delim = args.get_kwarg_or_pos("d",         1);
             value attribute = args.get_kwarg_or_pos("attribute", 2);
-            value undef = mk_val<value_undefined>();
             const auto & arr = args.get_pos(0)->as_array();
+            const bool attr_is_int = is_val<value_int>(attribute);
+            if (!attribute->is_undefined() && !is_val<value_string>(attribute) && !attr_is_int) {
+                throw raised_exception("join() attribute must be string or integer");
+            }
+            const int64_t attr_int = attr_is_int ? attribute->as_int() : 0;
             const std::string delim = val_delim->is_undefined() ? "" : val_delim->as_string().str();
             std::string result;
             for (size_t i = 0; i < arr.size(); ++i) {
                 value val_arr = arr[i];
                 if (!attribute->is_undefined()) {
-                    val_arr = get_attribute(val_arr, attribute, undef);
+                    if (attr_is_int && is_val<value_array>(val_arr)) {
+                        val_arr = val_arr->at(attr_int);
+                    } else if (!attr_is_int && is_val<value_object>(val_arr)) {
+                        val_arr = val_arr->at(attribute);
+                    }
                 }
                 if (!is_val<value_string>(val_arr) && !is_val<value_int>(val_arr) && !is_val<value_float>(val_arr)) {
                     throw raised_exception("join() can only join arrays of strings or numerics");
@@ -1132,11 +1068,21 @@ const func_builtins & value_array_t::get_builtins() const {
             }
             value val       = args.get_pos(0);
             value attribute = args.get_kwarg_or_pos("attribute", 1);
+            const bool attr_is_int = is_val<value_int>(attribute);
+            if (!is_val<value_string>(attribute) && !attr_is_int) {
+                throw raised_exception("map: attribute must be string or integer");
+            }
+            const int64_t attr_int = attr_is_int ? attribute->as_int() : 0;
             value default_val = args.get_kwarg("default", mk_val<value_undefined>());
             auto out = mk_val<value_array>();
             auto arr = val->as_array();
             for (const auto & item : arr) {
-                value attr_val = get_attribute(item, attribute, default_val);
+                value attr_val;
+                if (attr_is_int) {
+                    attr_val = is_val<value_array>(item) ? item->at(attr_int, default_val) : default_val;
+                } else {
+                    attr_val = is_val<value_object>(item) ? item->at(attribute, default_val) : default_val;
+                }
                 out->push_back(attr_val);
             }
             return is_val<value_tuple>(val) ? mk_val<value_tuple>(std::move(out->as_array())) : out;
@@ -1173,14 +1119,22 @@ const func_builtins & value_array_t::get_builtins() const {
             // FIXME: sorting is currently always case sensitive
             //const bool case_sensitive = val_case->as_bool(); // undefined == false
             const bool reverse = val_reverse->as_bool(); // undefined == false
-            value undef = mk_val<value_undefined>();
+            const bool attr_is_int = is_val<value_int>(attribute);
+            const int64_t attr_int = attr_is_int ? attribute->as_int() : 0;
             std::vector<value> arr = val->as_array(); // copy
             std::sort(arr.begin(), arr.end(),[&](const value & a, const value & b) {
                 value val_a = a;
                 value val_b = b;
                 if (!attribute->is_undefined()) {
-                    val_a = get_attribute(a, attribute, undef);
-                    val_b = get_attribute(b, attribute, undef);
+                    if (attr_is_int && is_val<value_array>(a) && is_val<value_array>(b)) {
+                        val_a = a->at(attr_int);
+                        val_b = b->at(attr_int);
+                    } else if (!attr_is_int && is_val<value_object>(a) && is_val<value_object>(b)) {
+                        val_a = a->at(attribute);
+                        val_b = b->at(attribute);
+                    } else {
+                        throw raised_exception("sort: unsupported object attribute comparison between " + a->type() + " and " + b->type());
+                    }
                 }
                 return value_compare(val_a, val_b, reverse ? value_compare_op::gt : value_compare_op::lt);
             });
@@ -1198,23 +1152,19 @@ const func_builtins & value_array_t::get_builtins() const {
             args.ensure_vals<value_array>();
             value val_case    = args.get_kwarg_or_pos("case_sensitive", 1);
             value attribute   = args.get_kwarg_or_pos("attribute",      2);
+            if (!attribute->is_undefined()) {
+                throw not_implemented_exception("min: attribute not implemented");
+            }
             // FIXME: min is currently always case sensitive
             (void) val_case;
-            value undef = mk_val<value_undefined>();
             const auto & arr = args.get_pos(0)->as_array();
             if (arr.empty()) {
-                return undef;
+                return mk_val<value_undefined>();
             }
             value result = arr[0];
-            for (const auto & item : arr) {
-                value val_arr = item;
-                value val_cmp = result;
-                if (!attribute->is_undefined()) {
-                    val_arr = get_attribute(val_arr, attribute, undef);
-                    val_cmp = get_attribute(val_cmp, attribute, undef);
-                }
-                if (value_compare(val_arr, val_cmp, value_compare_op::lt)) {
-                    result = item;
+            for (size_t i = 1; i < arr.size(); ++i) {
+                if (value_compare(arr[i], result, value_compare_op::lt)) {
+                    result = arr[i];
                 }
             }
             return result;
@@ -1224,23 +1174,19 @@ const func_builtins & value_array_t::get_builtins() const {
             args.ensure_vals<value_array>();
             value val_case    = args.get_kwarg_or_pos("case_sensitive", 1);
             value attribute   = args.get_kwarg_or_pos("attribute",      2);
+            if (!attribute->is_undefined()) {
+                throw not_implemented_exception("max: attribute not implemented");
+            }
             // FIXME: max is currently always case sensitive
             (void) val_case;
-            value undef = mk_val<value_undefined>();
             const auto & arr = args.get_pos(0)->as_array();
             if (arr.empty()) {
-                return undef;
+                return mk_val<value_undefined>();
             }
             value result = arr[0];
-            for (const auto & item : arr) {
-                value val_arr = item;
-                value val_cmp = result;
-                if (!attribute->is_undefined()) {
-                    val_arr = get_attribute(val_arr, attribute, undef);
-                    val_cmp = get_attribute(val_cmp, attribute, undef);
-                }
-                if (value_compare(val_arr, val_cmp, value_compare_op::gt)) {
-                    result = item;
+            for (size_t i = 1; i < arr.size(); ++i) {
+                if (value_compare(arr[i], result, value_compare_op::gt)) {
+                    result = arr[i];
                 }
             }
             return result;

common/jinja/value.h

@@ -433,12 +433,6 @@ struct value_array_t : public value_t {
         }
         return val_arr[index];
     }
-    virtual value & at(const value & index, value & default_val) override {
-        if (!is_val<value_int>(index) && !is_val<value_bool>(index)) {
-            return default_val;
-        }
-        return at(index->as_int(), default_val);
-    }
     virtual const func_builtins & get_builtins() const override;
     virtual bool is_hashable() const override {
         if (std::all_of(val_arr.begin(), val_arr.end(), [&](auto & val) -> bool {