feed the linter

allow ctl-j to add a new line + fix multiline bracketed paste
Merge pull request #6833 from ollama/mxyng/git-am
2026-01-04 13:39:28 -05:00 · 2024-09-17 18:19:31 -07:00 · 2024-09-17 18:12:55 -07:00 · 2024-09-17 16:33:23 -07:00 · 2024-09-17 15:26:40 -07:00 · 2024-09-16 17:31:37 -07:00
78 changed files with 2250 additions and 1100 deletions
--- a/.dockerignore
+++ b/.dockerignore
@@ -7,3 +7,5 @@ llm/llama.cpp
 .env
 .cache
 test_data
+llm/build
+llama/build
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -102,7 +102,8 @@ jobs:
        with:
          name: generate-windows-cpu
          path: |
-            llm/build/**/bin/*
+            build/**/*
+            build/**/*.a
            llm/build/**/*.a
            dist/windows-amd64/**

@@ -176,7 +177,7 @@ jobs:
        with:
          name: generate-windows-rocm
          path: |
-            llm/build/**/bin/*
+            build/**/*
            dist/windows-amd64/**
      - uses: actions/upload-artifact@v4
        with:
@@ -265,7 +266,7 @@ jobs:
        with:
          name: generate-windows-cuda-${{ matrix.cuda.version }}
          path: |
-            llm/build/**/bin/*
+            build/**/*
            dist/windows-amd64/**
      - uses: actions/upload-artifact@v4
        with:
@@ -338,7 +339,7 @@ jobs:
      - uses: actions/download-artifact@v4
        with:
          name: generate-windows-rocm
-      - run: dir llm/build
+      - run: dir build
      - run: |
          $gopath=(get-command go).source | split-path -parent
          & "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\Common7\Tools\Launch-VsDevShell.ps1"
@@ -359,9 +360,7 @@ jobs:
    environment: release
    runs-on: linux
    env:
-      OLLAMA_SKIP_MANIFEST_CREATE: '1'
-      BUILD_ARCH: amd64
-      PUSH: '1'
+      PLATFORM: linux/amd64
    steps:
      - uses: actions/checkout@v4
        with:
@@ -369,14 +368,8 @@ jobs:
      - name: Set Version
        shell: bash
        run: echo "VERSION=${GITHUB_REF_NAME#v}" >> $GITHUB_ENV
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ vars.DOCKER_USER }}
-          password: ${{ secrets.DOCKER_ACCESS_TOKEN }}
      - run: |
          ./scripts/build_linux.sh
-          ./scripts/build_docker.sh
      - uses: actions/upload-artifact@v4
        with:
          name: dist-linux-amd64
@@ -390,9 +383,7 @@ jobs:
    environment: release
    runs-on: linux-arm64
    env:
-      OLLAMA_SKIP_MANIFEST_CREATE: '1'
-      BUILD_ARCH: arm64
-      PUSH: '1'
+      PLATFORM: linux/arm64
    steps:
      - uses: actions/checkout@v4
        with:
@@ -421,14 +412,8 @@ jobs:
          sudo usermod -aG docker $USER
          sudo apt-get install acl
          sudo setfacl --modify user:$USER:rw /var/run/docker.sock
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ vars.DOCKER_USER }}
-          password: ${{ secrets.DOCKER_ACCESS_TOKEN }}
      - run: |
          ./scripts/build_linux.sh
-          ./scripts/build_docker.sh
      - uses: actions/upload-artifact@v4
        with:
          name: dist-linux-arm64
@@ -436,6 +421,178 @@ jobs:
            dist/*linux*
            !dist/*-cov

+  # Container image build
+  build-container-image:
+    environment: release
+    strategy:
+      matrix:
+        runner:
+          - linux
+          - linux-arm64
+    runs-on: ${{ matrix.runner }}
+    env:
+      FINAL_IMAGE_REPO: ollama/ollama
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          submodules: recursive
+      - name: 'Install Docker'
+        if: ${{ startsWith(matrix.runner, 'linux-arm64') }}
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y ca-certificates curl
+          sudo install -m 0755 -d /etc/apt/keyrings
+          sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
+          sudo chmod a+r /etc/apt/keyrings/docker.asc
+          echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
+            $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
+            sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
+          sudo apt-get update
+          sudo apt-get install -y docker-ce docker-ce-cli containerd.io
+          sudo usermod -aG docker $USER
+          sudo apt-get install acl
+          sudo setfacl --modify user:$USER:rw /var/run/docker.sock
+      - name: Docker meta
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.FINAL_IMAGE_REPO }}
+          flavor: |
+            latest=false
+          tags: |
+            type=ref,enable=true,priority=600,prefix=0.0.0-pr,suffix=,event=pr
+            type=semver,pattern={{version}}
+      - name: Set Version
+        shell: bash
+        run: |
+          machine=$(uname -m)
+          case ${machine} in
+            x86_64) echo ARCH=amd64; echo PLATFORM_PAIR=linux-amd64 ;;
+            aarch64) echo ARCH=arm64; echo PLATFORM_PAIR=linux-arm64 ;;
+          esac >>$GITHUB_ENV
+          echo GOFLAGS="'-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=${{ env.DOCKER_METADATA_OUTPUT_VERSION }}\" \"-X=github.com/ollama/ollama/server.mode=release\"'" >>$GITHUB_ENV
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+      - name: Login to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ vars.DOCKER_USER }}
+          password: ${{ secrets.DOCKER_ACCESS_TOKEN }}
+      - name: Build and push by digest
+        id: build
+        uses: docker/build-push-action@v6
+        with:
+          context: "."
+          platforms: linux/${{ env.ARCH }}
+          build-args: |
+            GOFLAGS
+          outputs: type=image,name=${{ env.FINAL_IMAGE_REPO }},push-by-digest=true,name-canonical=true,push=true
+      - name: Export digest
+        run: |
+          mkdir -p /tmp/digests
+          digest="${{ steps.build.outputs.digest }}"
+          touch "/tmp/digests/${digest#sha256:}"
+      - name: Upload digest
+        uses: actions/upload-artifact@v4
+        with:
+          name: digests-${{ env.PLATFORM_PAIR }}
+          path: /tmp/digests/*
+          if-no-files-found: error
+          retention-days: 1
+  merge:
+    environment: release
+    runs-on: linux
+    needs:
+      - build-container-image
+    env:
+      FINAL_IMAGE_REPO: ollama/ollama
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          submodules: recursive
+      - name: Download digests
+        uses: actions/download-artifact@v4
+        with:
+          path: /tmp/digests
+          pattern: digests-*
+          merge-multiple: true
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+      - name: Docker meta
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.FINAL_IMAGE_REPO }}
+          flavor: |
+            latest=false
+          tags: |
+            type=ref,enable=true,priority=600,prefix=0.0.0-pr,suffix=,event=pr
+            type=semver,pattern={{version}}
+      - name: Set Version
+        shell: bash
+        run: |
+          machine=$(uname -m)
+          case ${machine} in
+            x86_64) echo ARCH=amd64; echo PLATFORM_PAIR=linux-amd64 ;;
+            aarch64) echo ARCH=arm64; echo PLATFORM_PAIR=linux-arm64 ;;
+          esac >>$GITHUB_ENV
+          echo GOFLAGS="'-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=${{ env.DOCKER_METADATA_OUTPUT_VERSION }}\" \"-X=github.com/ollama/ollama/server.mode=release\"'" >>$GITHUB_ENV
+      - name: Login to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ vars.DOCKER_USER }}
+          password: ${{ secrets.DOCKER_ACCESS_TOKEN }}
+      - name: Create manifest list and push
+        working-directory: /tmp/digests
+        run: |
+          docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
+            $(printf '${{ env.FINAL_IMAGE_REPO }}@sha256:%s ' *)
+      - name: Inspect image
+        run: |
+          docker buildx imagetools inspect ${{ env.FINAL_IMAGE_REPO }}:${{ steps.meta.outputs.version }}          
+  build-container-image-rocm:
+    environment: release
+    runs-on: linux
+    env:
+      FINAL_IMAGE_REPO: ollama/ollama
+      ARCH: amd64
+      PLATFORM_PAIR: linux-amd64
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          submodules: recursive
+      - name: Docker meta
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.FINAL_IMAGE_REPO }}
+          flavor: |
+            latest=false
+          tags: |
+            type=ref,enable=true,priority=600,prefix=0.0.0-pr,suffix=,event=pr
+            type=semver,pattern={{version}}
+      - name: Set Version
+        shell: bash
+        run: |
+          echo GOFLAGS="'-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=${{ env.DOCKER_METADATA_OUTPUT_VERSION }}\" \"-X=github.com/ollama/ollama/server.mode=release\"'" >>$GITHUB_ENV
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+      - name: Login to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ vars.DOCKER_USER }}
+          password: ${{ secrets.DOCKER_ACCESS_TOKEN }}
+      - name: Build and push by digest
+        id: build
+        uses: docker/build-push-action@v6
+        with:
+          context: "."
+          target: runtime-rocm
+          build-args: |
+            GOFLAGS
+          tags: ${{ env.FINAL_IMAGE_REPO }}:${{ env.DOCKER_METADATA_OUTPUT_VERSION}}-rocm
+          push: true
+
  # Aggregate all the assets and ship a release
  release:
    needs:
@@ -448,8 +605,6 @@ jobs:
    permissions:
      contents: write
    env:
-      OLLAMA_SKIP_IMAGE_BUILD: '1'
-      PUSH: '1'
      GH_TOKEN: ${{ github.token }}
    steps:
      - uses: actions/checkout@v4
@@ -458,12 +613,6 @@ jobs:
        run: |
          echo "VERSION=${GITHUB_REF_NAME#v}" >> $GITHUB_ENV
          echo "RELEASE_VERSION=$(echo ${GITHUB_REF_NAME} | cut -f1 -d-)" >> $GITHUB_ENV
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ vars.DOCKER_USER }}
-          password: ${{ secrets.DOCKER_ACCESS_TOKEN }}
-      - run: ./scripts/build_docker.sh
      - name: Retrieve built artifact
        uses: actions/download-artifact@v4
        with:
@@ -474,8 +623,6 @@ jobs:
          ls -lh dist/
          (cd dist; find . -type f | xargs sha256sum > ../sha256sum.txt)
          mv sha256sum.txt dist/
-          mv dist/linux-???64 .
-          mv dist/linux-amd64-rocm .
          cat dist/sha256sum.txt
      - name: Create or update Release
        run: |
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -81,12 +81,6 @@ jobs:
        if: ${{ ! startsWith(matrix.os, 'windows-') }}
        name: 'Unix Go Generate'
      - run: go build .
-      - uses: actions/upload-artifact@v4
-        with:
-          name: ${{ matrix.os }}-${{ matrix.arch }}-libraries
-          path: |
-            llm/build/**/bin/*
-            llm/build/**/*.a
  generate-cuda:
    needs: [changes]
    if: ${{ needs.changes.outputs.GENERATE_CUDA == 'True' }}
@@ -114,12 +108,6 @@ jobs:
          go generate -x ./...
        env:
          OLLAMA_SKIP_CPU_GENERATE: '1'
-      - uses: actions/upload-artifact@v4
-        with:
-          name: cuda-${{ matrix.cuda-version }}-libraries
-          path: |
-            llm/build/**/bin/*
-            dist/windows-amd64/**
  generate-rocm:
    needs: [changes]
    if: ${{ needs.changes.outputs.GENERATE_ROCM == 'True' }}
@@ -147,12 +135,6 @@ jobs:
          go generate -x ./...
        env:
          OLLAMA_SKIP_CPU_GENERATE: '1'
-      - uses: actions/upload-artifact@v4
-        with:
-          name: rocm-${{ matrix.rocm-version }}-libraries
-          path: |
-            llm/build/**/bin/*
-            dist/windows-amd64/**

  # ROCm generation step
  generate-windows-rocm:
@@ -189,7 +171,6 @@ jobs:
        name: go generate
        env:
          OLLAMA_SKIP_CPU_GENERATE: '1'
-      # TODO - do we need any artifacts?

  # CUDA generation step
  generate-windows-cuda:
@@ -231,7 +212,6 @@ jobs:
          go generate -x ./...
        env:
          OLLAMA_SKIP_CPU_GENERATE: '1'
-      # TODO - do we need any artifacts?

  lint:
    strategy:
@@ -263,14 +243,6 @@ jobs:
            arm64) echo ARCH=arm64 ;;
          esac >>$GITHUB_ENV
        shell: bash
-      - run: |
-          mkdir -p llm/build/linux/$ARCH/stub/bin
-          touch llm/build/linux/$ARCH/stub/bin/ollama_llama_server
-        if: ${{ startsWith(matrix.os, 'ubuntu-') }}
-      - run: |
-          mkdir -p llm/build/darwin/$ARCH/stub/bin
-          touch llm/build/darwin/$ARCH/stub/bin/ollama_llama_server
-        if: ${{ startsWith(matrix.os, 'macos-') }}
      - uses: golangci/golangci-lint-action@v6
        with:
          args: --timeout 8m0s -v
@@ -301,23 +273,10 @@ jobs:
          cache: true
      - run: |
          case ${{ matrix.arch }} in
-            amd64) echo ARCH=x86_64 ;;
+            amd64) echo ARCH=amd64 ;;
            arm64) echo ARCH=arm64 ;;
          esac >>$GITHUB_ENV
        shell: bash
-      - run: |
-          mkdir -p llm/build/linux/$ARCH/stub/bin
-          touch llm/build/linux/$ARCH/stub/bin/ollama_llama_server
-        if: ${{ startsWith(matrix.os, 'ubuntu-') }}
-      - run: |
-          mkdir -p llm/build/darwin/$ARCH/stub/bin
-          touch llm/build/darwin/$ARCH/stub/bin/ollama_llama_server
-        if: ${{ startsWith(matrix.os, 'macos-') }}
-        shell: bash
      - run: go generate ./...
      - run: go build
      - run: go test -v ./...
-      - uses: actions/upload-artifact@v4
-        with:
-          name: ${{ matrix.os }}-binaries
-          path: ollama
--- a/.gitignore
+++ b/.gitignore
@@ -12,4 +12,7 @@ ggml-metal.metal
 test_data
 *.crt
 llm/build
+build/*/*/*
+!build/**/placeholder
+llama/build
 __debug_bin*
--- a/149
+++ b/149
@@ -16,12 +16,12 @@ FROM --platform=linux/amd64 nvidia/cuda:$CUDA_VERSION_11-devel-centos7 AS cuda-1
 ARG CMAKE_VERSION
 COPY ./scripts/rh_linux_deps.sh /
 RUN CMAKE_VERSION=${CMAKE_VERSION} sh /rh_linux_deps.sh
-ENV PATH /opt/rh/devtoolset-10/root/usr/bin:$PATH
+ENV PATH=/opt/rh/devtoolset-10/root/usr/bin:$PATH
 COPY --from=llm-code / /go/src/github.com/ollama/ollama/
 WORKDIR /go/src/github.com/ollama/ollama/llm/generate
 ARG CGO_CFLAGS
 ARG CUDA_V11_ARCHITECTURES
-ENV GOARCH amd64
+ENV GOARCH=amd64
 RUN --mount=type=cache,target=/root/.ccache \
    OLLAMA_SKIP_STATIC_GENERATE=1 \
    OLLAMA_SKIP_CPU_GENERATE=1 \
@@ -33,12 +33,12 @@ FROM --platform=linux/amd64 nvidia/cuda:$CUDA_VERSION_12-devel-centos7 AS cuda-1
 ARG CMAKE_VERSION
 COPY ./scripts/rh_linux_deps.sh /
 RUN CMAKE_VERSION=${CMAKE_VERSION} sh /rh_linux_deps.sh
-ENV PATH /opt/rh/devtoolset-10/root/usr/bin:$PATH
+ENV PATH=/opt/rh/devtoolset-10/root/usr/bin:$PATH
 COPY --from=llm-code / /go/src/github.com/ollama/ollama/
 WORKDIR /go/src/github.com/ollama/ollama/llm/generate
 ARG CGO_CFLAGS
 ARG CUDA_V12_ARCHITECTURES
-ENV GOARCH amd64
+ENV GOARCH=amd64
 RUN --mount=type=cache,target=/root/.ccache \
    OLLAMA_SKIP_STATIC_GENERATE=1 \
    OLLAMA_SKIP_CPU_GENERATE=1 \
@@ -47,32 +47,32 @@ RUN --mount=type=cache,target=/root/.ccache \
    OLLAMA_CUSTOM_CUDA_DEFS="-DGGML_CUDA_USE_GRAPHS=on" \
    bash gen_linux.sh

-FROM --platform=linux/arm64 nvidia/cuda:$CUDA_VERSION_11-devel-rockylinux8 AS cuda-11-build-server-arm64
+FROM --platform=linux/arm64 nvidia/cuda:$CUDA_VERSION_11-devel-rockylinux8 AS cuda-11-build-runner-arm64
 ARG CMAKE_VERSION
 COPY ./scripts/rh_linux_deps.sh /
 RUN CMAKE_VERSION=${CMAKE_VERSION} sh /rh_linux_deps.sh
-ENV PATH /opt/rh/gcc-toolset-10/root/usr/bin:$PATH
+ENV PATH=/opt/rh/gcc-toolset-10/root/usr/bin:$PATH
 COPY --from=llm-code / /go/src/github.com/ollama/ollama/
 WORKDIR /go/src/github.com/ollama/ollama/llm/generate
 ARG CGO_CFLAGS
 ARG CUDA_V11_ARCHITECTURES
-ENV GOARCH arm64
+ENV GOARCH=arm64
 RUN OLLAMA_SKIP_STATIC_GENERATE=1 \
    OLLAMA_SKIP_CPU_GENERATE=1 \
    CMAKE_CUDA_ARCHITECTURES="${CUDA_V11_ARCHITECTURES}" \
    CUDA_VARIANT="_v11" \
    bash gen_linux.sh

-FROM --platform=linux/arm64 nvidia/cuda:$CUDA_VERSION_12-devel-rockylinux8 AS cuda-12-build-server-arm64
+FROM --platform=linux/arm64 nvidia/cuda:$CUDA_VERSION_12-devel-rockylinux8 AS cuda-12-build-runner-arm64
 ARG CMAKE_VERSION
 COPY ./scripts/rh_linux_deps.sh /
 RUN CMAKE_VERSION=${CMAKE_VERSION} sh /rh_linux_deps.sh
-ENV PATH /opt/rh/gcc-toolset-10/root/usr/bin:$PATH
+ENV PATH=/opt/rh/gcc-toolset-10/root/usr/bin:$PATH
 COPY --from=llm-code / /go/src/github.com/ollama/ollama/
 WORKDIR /go/src/github.com/ollama/ollama/llm/generate
 ARG CGO_CFLAGS
 ARG CUDA_V12_ARCHITECTURES
-ENV GOARCH arm64
+ENV GOARCH=arm64
 RUN --mount=type=cache,target=/root/.ccache \
    OLLAMA_SKIP_STATIC_GENERATE=1 \
    OLLAMA_SKIP_CPU_GENERATE=1 \
@@ -86,13 +86,13 @@ FROM --platform=linux/amd64 rocm/dev-centos-7:${ROCM_VERSION}-complete AS rocm-b
 ARG CMAKE_VERSION
 COPY ./scripts/rh_linux_deps.sh /
 RUN CMAKE_VERSION=${CMAKE_VERSION} sh /rh_linux_deps.sh
-ENV PATH /opt/rh/devtoolset-10/root/usr/bin:$PATH
-ENV LIBRARY_PATH /opt/amdgpu/lib64
+ENV PATH=/opt/rh/devtoolset-10/root/usr/bin:$PATH
+ENV LIBRARY_PATH=/opt/amdgpu/lib64
 COPY --from=llm-code / /go/src/github.com/ollama/ollama/
 WORKDIR /go/src/github.com/ollama/ollama/llm/generate
 ARG CGO_CFLAGS
 ARG AMDGPU_TARGETS
-ENV GOARCH amd64
+ENV GOARCH=amd64
 RUN --mount=type=cache,target=/root/.ccache \
    OLLAMA_SKIP_STATIC_GENERATE=1 OLLAMA_SKIP_CPU_GENERATE=1 bash gen_linux.sh
 RUN mkdir -p ../../dist/linux-amd64-rocm/lib/ollama && \
@@ -103,11 +103,11 @@ ARG CMAKE_VERSION
 ARG GOLANG_VERSION
 COPY ./scripts/rh_linux_deps.sh /
 RUN CMAKE_VERSION=${CMAKE_VERSION} GOLANG_VERSION=${GOLANG_VERSION} sh /rh_linux_deps.sh
-ENV PATH /opt/rh/devtoolset-10/root/usr/bin:$PATH
+ENV PATH=/opt/rh/devtoolset-10/root/usr/bin:$PATH
 COPY --from=llm-code / /go/src/github.com/ollama/ollama/
 ARG OLLAMA_CUSTOM_CPU_DEFS
 ARG CGO_CFLAGS
-ENV GOARCH amd64
+ENV GOARCH=amd64
 WORKDIR /go/src/github.com/ollama/ollama/llm/generate

 FROM --platform=linux/amd64 cpu-builder-amd64 AS static-build-amd64
@@ -128,11 +128,11 @@ ARG CMAKE_VERSION
 ARG GOLANG_VERSION
 COPY ./scripts/rh_linux_deps.sh /
 RUN CMAKE_VERSION=${CMAKE_VERSION} GOLANG_VERSION=${GOLANG_VERSION} sh /rh_linux_deps.sh
-ENV PATH /opt/rh/gcc-toolset-10/root/usr/bin:$PATH
+ENV PATH=/opt/rh/gcc-toolset-10/root/usr/bin:$PATH
 COPY --from=llm-code / /go/src/github.com/ollama/ollama/
 ARG OLLAMA_CUSTOM_CPU_DEFS
 ARG CGO_CFLAGS
-ENV GOARCH arm64
+ENV GOARCH=arm64
 WORKDIR /go/src/github.com/ollama/ollama/llm/generate

 FROM --platform=linux/arm64 cpu-builder-arm64 AS static-build-arm64
@@ -143,73 +143,112 @@ RUN --mount=type=cache,target=/root/.ccache \
    OLLAMA_SKIP_STATIC_GENERATE=1 OLLAMA_CPU_TARGET="cpu" bash gen_linux.sh


-# Intermediate stage used for ./scripts/build_linux.sh
+# Intermediate stages used for ./scripts/build_linux.sh
 FROM --platform=linux/amd64 cpu-build-amd64 AS build-amd64
-ENV CGO_ENABLED 1
+ENV CGO_ENABLED=1
 WORKDIR /go/src/github.com/ollama/ollama
 COPY . .
-COPY --from=static-build-amd64 /go/src/github.com/ollama/ollama/llm/build/linux/ llm/build/linux/
-COPY --from=cpu_avx-build-amd64 /go/src/github.com/ollama/ollama/llm/build/linux/ llm/build/linux/
-COPY --from=cpu_avx2-build-amd64 /go/src/github.com/ollama/ollama/llm/build/linux/ llm/build/linux/
+COPY --from=static-build-amd64 /go/src/github.com/ollama/ollama/llm/build/ llm/build/
+COPY --from=cpu_avx-build-amd64 /go/src/github.com/ollama/ollama/build/ build/
+COPY --from=cpu_avx2-build-amd64 /go/src/github.com/ollama/ollama/build/ build/
 COPY --from=cuda-11-build-amd64 /go/src/github.com/ollama/ollama/dist/ dist/
-COPY --from=cuda-11-build-amd64 /go/src/github.com/ollama/ollama/llm/build/linux/ llm/build/linux/
+COPY --from=cuda-11-build-amd64 /go/src/github.com/ollama/ollama/build/ build/
 COPY --from=cuda-12-build-amd64 /go/src/github.com/ollama/ollama/dist/ dist/
-COPY --from=cuda-12-build-amd64 /go/src/github.com/ollama/ollama/llm/build/linux/ llm/build/linux/
+COPY --from=cuda-12-build-amd64 /go/src/github.com/ollama/ollama/build/ build/
 COPY --from=rocm-build-amd64 /go/src/github.com/ollama/ollama/dist/ dist/
-COPY --from=rocm-build-amd64 /go/src/github.com/ollama/ollama/llm/build/linux/ llm/build/linux/
+COPY --from=rocm-build-amd64 /go/src/github.com/ollama/ollama/build/ build/
+ARG GOFLAGS
+ARG CGO_CFLAGS
+RUN --mount=type=cache,target=/root/.ccache \
+    go build -trimpath -o dist/linux-amd64/bin/ollama .
+RUN cd dist/linux-$GOARCH && \
+    tar --exclude runners -cf - . | pigz --best > ../ollama-linux-$GOARCH.tgz
+RUN cd dist/linux-$GOARCH-rocm && \
+    tar -cf - . | pigz --best > ../ollama-linux-$GOARCH-rocm.tgz
+
+FROM --platform=linux/arm64 cpu-build-arm64 AS build-arm64
+ENV CGO_ENABLED=1
+ARG GOLANG_VERSION
+WORKDIR /go/src/github.com/ollama/ollama
+COPY . .
+COPY --from=static-build-arm64 /go/src/github.com/ollama/ollama/llm/build/ llm/build/
+COPY --from=cuda-11-build-runner-arm64 /go/src/github.com/ollama/ollama/dist/ dist/
+COPY --from=cuda-11-build-runner-arm64 /go/src/github.com/ollama/ollama/build/ build/
+COPY --from=cuda-12-build-runner-arm64 /go/src/github.com/ollama/ollama/dist/ dist/
+COPY --from=cuda-12-build-runner-arm64 /go/src/github.com/ollama/ollama/build/ build/
+ARG GOFLAGS
+ARG CGO_CFLAGS
+RUN --mount=type=cache,target=/root/.ccache \
+    go build -trimpath -o dist/linux-arm64/bin/ollama .
+RUN cd dist/linux-$GOARCH && \
+    tar --exclude runners -cf - . | pigz --best > ../ollama-linux-$GOARCH.tgz
+
+FROM --platform=linux/amd64 scratch AS dist-amd64
+COPY --from=build-amd64 /go/src/github.com/ollama/ollama/dist/ollama-linux-*.tgz /
+FROM --platform=linux/arm64 scratch AS dist-arm64
+COPY --from=build-arm64 /go/src/github.com/ollama/ollama/dist/ollama-linux-*.tgz /
+FROM dist-$TARGETARCH as dist
+
+
+# Optimized container images do not cary nested payloads
+FROM --platform=linux/amd64 static-build-amd64 AS container-build-amd64
+WORKDIR /go/src/github.com/ollama/ollama
+COPY . .
 ARG GOFLAGS
 ARG CGO_CFLAGS
 RUN --mount=type=cache,target=/root/.ccache \
    go build -trimpath -o dist/linux-amd64/bin/ollama .

-# Intermediate stage used for ./scripts/build_linux.sh
-FROM --platform=linux/arm64 cpu-build-arm64 AS build-arm64
-ENV CGO_ENABLED 1
-ARG GOLANG_VERSION
+FROM --platform=linux/arm64 static-build-arm64 AS container-build-arm64
 WORKDIR /go/src/github.com/ollama/ollama
 COPY . .
-COPY --from=static-build-arm64 /go/src/github.com/ollama/ollama/llm/build/linux/ llm/build/linux/
-COPY --from=cuda-11-build-server-arm64 /go/src/github.com/ollama/ollama/dist/ dist/
-COPY --from=cuda-11-build-server-arm64 /go/src/github.com/ollama/ollama/llm/build/linux/ llm/build/linux/
-COPY --from=cuda-12-build-server-arm64 /go/src/github.com/ollama/ollama/dist/ dist/
-COPY --from=cuda-12-build-server-arm64 /go/src/github.com/ollama/ollama/llm/build/linux/ llm/build/linux/
 ARG GOFLAGS
 ARG CGO_CFLAGS
 RUN --mount=type=cache,target=/root/.ccache \
    go build -trimpath -o dist/linux-arm64/bin/ollama .

-# Strip out ROCm dependencies to keep the primary image lean
-FROM --platform=linux/amd64 ubuntu:22.04 as amd64-libs-without-rocm
-COPY --from=build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/lib/ /scratch/
-RUN cd /scratch/ollama/ && rm -rf rocblas libamd* libdrm* libroc* libhip* libhsa*
-
-# Runtime stages
-FROM --platform=linux/amd64 ubuntu:22.04 as runtime-amd64
-COPY --from=amd64-libs-without-rocm /scratch/ /lib/
-RUN apt-get update && apt-get install -y ca-certificates && \
+FROM --platform=linux/amd64 ubuntu:22.04 AS runtime-amd64
+RUN apt-get update && \
+    apt-get install -y ca-certificates && \
    apt-get clean && rm -rf /var/lib/apt/lists/*
-COPY --from=build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/bin/ /bin/
+COPY --from=container-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/bin/ /bin/
+COPY --from=cpu-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/lib/ /lib/
+COPY --from=cpu_avx-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/lib/ /lib/
+COPY --from=cpu_avx2-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/lib/ /lib/
+COPY --from=cuda-11-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/lib/ /lib/
+COPY --from=cuda-12-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/lib/ /lib/

-FROM --platform=linux/arm64 ubuntu:22.04 as runtime-arm64
-COPY --from=build-arm64 /go/src/github.com/ollama/ollama/dist/linux-arm64/lib/ /lib/
-RUN apt-get update && apt-get install -y ca-certificates && \
+FROM --platform=linux/arm64 ubuntu:22.04 AS runtime-arm64
+RUN apt-get update && \
+    apt-get install -y ca-certificates && \
    apt-get clean && rm -rf /var/lib/apt/lists/*
-COPY --from=build-arm64 /go/src/github.com/ollama/ollama/dist/linux-arm64/bin/ /bin/
+COPY --from=container-build-arm64 /go/src/github.com/ollama/ollama/dist/linux-arm64/bin/ /bin/
+COPY --from=cpu-build-arm64 /go/src/github.com/ollama/ollama/dist/linux-arm64/lib/ /lib/
+COPY --from=cuda-11-build-runner-arm64 /go/src/github.com/ollama/ollama/dist/linux-arm64/lib/ /lib/
+COPY --from=cuda-12-build-runner-arm64 /go/src/github.com/ollama/ollama/dist/linux-arm64/lib/ /lib/

-# Radeon images are much larger so we keep it distinct from the CPU/CUDA image
-FROM --platform=linux/amd64 rocm/dev-centos-7:${ROCM_VERSION}-complete as runtime-rocm
-RUN update-pciids
-COPY --from=build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/bin/ /bin/
-RUN ln -s /opt/rocm/lib /lib/ollama
+# ROCm libraries larger so we keep it distinct from the CPU/CUDA image
+FROM --platform=linux/amd64 ubuntu:22.04 AS runtime-rocm
+# Frontload the rocm libraries which are large, and rarely change to increase chance of a common layer
+# across releases
+COPY --from=rocm-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64-rocm/lib/ /lib/
+RUN apt-get update && \
+    apt-get install -y ca-certificates && \
+    apt-get clean && rm -rf /var/lib/apt/lists/*
+COPY --from=container-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/bin/ /bin/
+COPY --from=cpu-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/lib/ /lib/
+COPY --from=cpu_avx-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/lib/ /lib/
+COPY --from=cpu_avx2-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/lib/ /lib/
+COPY --from=rocm-build-amd64 /go/src/github.com/ollama/ollama/dist/linux-amd64/lib/ /lib/
 EXPOSE 11434
-ENV OLLAMA_HOST 0.0.0.0
+ENV OLLAMA_HOST=0.0.0.0

 ENTRYPOINT ["/bin/ollama"]
 CMD ["serve"]

 FROM runtime-$TARGETARCH
 EXPOSE 11434
-ENV OLLAMA_HOST 0.0.0.0
+ENV OLLAMA_HOST=0.0.0.0
 ENV PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
--- a/README.md
+++ b/README.md
@@ -295,6 +295,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [Olpaka](https://github.com/Otacon/olpaka) (User-friendly Flutter Web App for Ollama)
 - [OllamaSpring](https://github.com/CrazyNeil/OllamaSpring) (Ollama Client for macOS)
 - [LLocal.in](https://github.com/kartikm7/llocal) (Easy to use Electron Desktop Client for Ollama)
+- [AiLama](https://github.com/zeyoyt/ailama) (A Discord User App that allows you to interact with Ollama anywhere in discord )
 - [Ollama with Google Mesop](https://github.com/rapidarchitect/ollama_mesop/) (Mesop Chat Client implementation with Ollama)
 - [Painting Droid](https://github.com/mateuszmigas/painting-droid) (Painting app with AI integrations)
 - [Kerlig AI](https://www.kerlig.com/) (AI writing assistant for macOS)
@@ -310,6 +311,8 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [Claude Dev](https://github.com/saoudrizwan/claude-dev) - VSCode extension for multi-file/whole-repo coding
 - [Cherry Studio](https://github.com/kangfenmao/cherry-studio) (Desktop client with Ollama support)
 - [ConfiChat](https://github.com/1runeberg/confichat) (Lightweight, standalone, multi-platform, and privacy focused LLM chat interface with optional encryption)
+- [Archyve](https://github.com/nickthecook/archyve) (RAG-enabling document library)
+- [crewAI with Mesop](https://github.com/rapidarchitect/ollama-crew-mesop) (Mesop Web Interface to run crewAI with Ollama)

 ### Terminal

@@ -334,6 +337,11 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [podman-ollama](https://github.com/ericcurtin/podman-ollama)
 - [gollama](https://github.com/sammcj/gollama)
 - [Ollama eBook Summary](https://github.com/cognitivetech/ollama-ebook-summary/)
+- [Ollama Mixture of Experts (MOE) in 50 lines of code](https://github.com/rapidarchitect/ollama_moe)
+- [vim-intelligence-bridge](https://github.com/pepo-ec/vim-intelligence-bridge) Simple interaction of "Ollama" with the Vim editor
+
+### Apple Vision Pro
+- [Enchanted](https://github.com/AugustDev/enchanted)

 ### Database

@@ -343,6 +351,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
 ### Package managers

 - [Pacman](https://archlinux.org/packages/extra/x86_64/ollama/)
+- [Gentoo](https://github.com/gentoo/guru/tree/master/app-misc/ollama)
 - [Helm Chart](https://artifacthub.io/packages/helm/ollama-helm/ollama)
 - [Guix channel](https://codeberg.org/tusharhero/ollama-guix)
 - [Nix package](https://search.nixos.org/packages?channel=24.05&show=ollama&from=0&size=50&sort=relevance&type=packages&query=ollama)
@@ -352,6 +361,7 @@ See the [API documentation](./docs/api.md) for all endpoints.

 - [LangChain](https://python.langchain.com/docs/integrations/llms/ollama) and [LangChain.js](https://js.langchain.com/docs/modules/model_io/models/llms/integrations/ollama) with [example](https://js.langchain.com/docs/use_cases/question_answering/local_retrieval_qa)
 - [Firebase Genkit](https://firebase.google.com/docs/genkit/plugins/ollama)
+- [crewAI](https://github.com/crewAIInc/crewAI)
 - [LangChainGo](https://github.com/tmc/langchaingo/) with [example](https://github.com/tmc/langchaingo/tree/main/examples/ollama-completion-example)
 - [LangChain4j](https://github.com/langchain4j/langchain4j) with [example](https://github.com/langchain4j/langchain4j-examples/tree/main/ollama-examples/src/main/java)
 - [LangChainRust](https://github.com/Abraxas-365/langchain-rust) with [example](https://github.com/Abraxas-365/langchain-rust/blob/main/examples/llm_ollama.rs)
@@ -382,6 +392,8 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [Gollm](https://docs.gollm.co/examples/ollama-example)
 - [Ollamaclient for Golang](https://github.com/xyproto/ollamaclient)
 - [High-level function abstraction in Go](https://gitlab.com/tozd/go/fun)
+- [Ollama PHP](https://github.com/ArdaGnsrn/ollama-php)
+- [Agents-Flex for Java](https://github.com/agents-flex/agents-flex) with [example](https://github.com/agents-flex/agents-flex/tree/main/agents-flex-llm/agents-flex-llm-ollama/src/test/java/com/agentsflex/llm/ollama)

 ### Mobile

@@ -412,12 +424,16 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [twinny](https://github.com/rjmacarthy/twinny) (Copilot and Copilot chat alternative using Ollama)
 - [Wingman-AI](https://github.com/RussellCanfield/wingman-ai) (Copilot code and chat alternative using Ollama and Hugging Face)
 - [Page Assist](https://github.com/n4ze3m/page-assist) (Chrome Extension)
+- [Plasmoid Ollama Control](https://github.com/imoize/plasmoid-ollamacontrol) (KDE Plasma extension that allows you to quickly manage/control Ollama model)
 - [AI Telegram Bot](https://github.com/tusharhero/aitelegrambot) (Telegram bot using Ollama in backend)
 - [AI ST Completion](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (Sublime Text 4 AI assistant plugin with Ollama support)
 - [Discord-Ollama Chat Bot](https://github.com/kevinthedang/discord-ollama) (Generalized TypeScript Discord Bot w/ Tuning Documentation)
 - [Discord AI chat/moderation bot](https://github.com/rapmd73/Companion) Chat/moderation bot written in python. Uses Ollama to create personalities.
 - [Headless Ollama](https://github.com/nischalj10/headless-ollama) (Scripts to automatically install ollama client & models on any OS for apps that depends on ollama server)
 - [vnc-lm](https://github.com/jk011ru/vnc-lm) (A containerized Discord bot with support for attachments and web links)
+- [LSP-AI](https://github.com/SilasMarvin/lsp-ai) (Open-source language server for AI-powered functionality)
+- [QodeAssist](https://github.com/Palm1r/QodeAssist) (AI-powered coding assistant plugin for Qt Creator)
+- [Obsidian Quiz Generator plugin](https://github.com/ECuiDev/obsidian-quiz-generator)

 ### Supported backends

--- a/build/darwin/amd64/placeholder
+++ b/build/darwin/amd64/placeholder
@@ -0,0 +1 @@
+This is here to make sure the build/ directory exists for the go:embed command
--- a/build/darwin/arm64/placeholder
+++ b/build/darwin/arm64/placeholder
@@ -0,0 +1 @@
+This is here to make sure the build/ directory exists for the go:embed command
--- a/build/embed_darwin_amd64.go
+++ b/build/embed_darwin_amd64.go
@@ -0,0 +1,8 @@
+package build
+
+import "embed"
+
+// Darwin payloads separated by architecture to avoid duplicate payloads when cross compiling
+
+//go:embed darwin/amd64/*
+var EmbedFS embed.FS
--- a/build/embed_darwin_arm64.go
+++ b/build/embed_darwin_arm64.go
@@ -0,0 +1,8 @@
+package build
+
+import "embed"
+
+// Darwin payloads separated by architecture to avoid duplicate payloads when cross compiling
+
+//go:embed darwin/arm64/*
+var EmbedFS embed.FS
--- a/build/embed_linux.go
+++ b/build/embed_linux.go
@@ -0,0 +1,6 @@
+package build
+
+import "embed"
+
+//go:embed linux/*
+var EmbedFS embed.FS
--- a/build/embed_unused.go
+++ b/build/embed_unused.go
@@ -0,0 +1,8 @@
+//go:build !linux && !darwin
+
+package build
+
+import "embed"
+
+// unused on windows
+var EmbedFS embed.FS
--- a/build/linux/amd64/placeholder
+++ b/build/linux/amd64/placeholder
@@ -0,0 +1 @@
+This is here to make sure the build/ directory exists for the go:embed command
--- a/build/linux/arm64/placeholder
+++ b/build/linux/arm64/placeholder
@@ -0,0 +1 @@
+This is here to make sure the build/ directory exists for the go:embed command
--- a/cmd/cmd.go
+++ b/cmd/cmd.go
@@ -2,6 +2,7 @@ package cmd

 import (
 	"archive/zip"
+	"bufio"
 	"bytes"
 	"context"
 	"crypto/ed25519"
@@ -21,6 +22,7 @@ import (
 	"regexp"
 	"runtime"
 	"slices"
+	"strconv"
 	"strings"
 	"sync/atomic"
 	"syscall"
@@ -344,6 +346,39 @@ func (w *progressWriter) Write(p []byte) (n int, err error) {
 	return len(p), nil
 }

+func loadOrUnloadModel(cmd *cobra.Command, opts *runOptions) error {
+	p := progress.NewProgress(os.Stderr)
+	defer p.StopAndClear()
+
+	spinner := progress.NewSpinner("")
+	p.Add("", spinner)
+
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		return err
+	}
+
+	req := &api.GenerateRequest{
+		Model:     opts.Model,
+		KeepAlive: opts.KeepAlive,
+	}
+
+	return client.Generate(cmd.Context(), req, func(api.GenerateResponse) error { return nil })
+}
+
+func StopHandler(cmd *cobra.Command, args []string) error {
+	opts := &runOptions{
+		Model:     args[0],
+		KeepAlive: &api.Duration{Duration: 0},
+	}
+	if err := loadOrUnloadModel(cmd, opts); err != nil {
+		if strings.Contains(err.Error(), "not found") {
+			return fmt.Errorf("couldn't find model \"%s\" to stop", args[0])
+		}
+	}
+	return nil
+}
+
 func RunHandler(cmd *cobra.Command, args []string) error {
 	interactive := true

@@ -422,7 +457,7 @@ func RunHandler(cmd *cobra.Command, args []string) error {
 	opts.ParentModel = info.Details.ParentModel

 	if interactive {
-		if err := loadModel(cmd, &opts); err != nil {
+		if err := loadOrUnloadModel(cmd, &opts); err != nil {
 			return err
 		}

@@ -578,7 +613,7 @@ func ListHandler(cmd *cobra.Command, args []string) error {
 	table.SetHeaderLine(false)
 	table.SetBorder(false)
 	table.SetNoWhiteSpace(true)
-	table.SetTablePadding("\t")
+	table.SetTablePadding("    ")
 	table.AppendBulk(data)
 	table.Render()

@@ -613,7 +648,15 @@ func ListRunningHandler(cmd *cobra.Command, args []string) error {
 				cpuPercent := math.Round(float64(sizeCPU) / float64(m.Size) * 100)
 				procStr = fmt.Sprintf("%d%%/%d%% CPU/GPU", int(cpuPercent), int(100-cpuPercent))
 			}
-			data = append(data, []string{m.Name, m.Digest[:12], format.HumanBytes(m.Size), procStr, format.HumanTime(m.ExpiresAt, "Never")})
+
+			var until string
+			delta := time.Since(m.ExpiresAt)
+			if delta > 0 {
+				until = "Stopping..."
+			} else {
+				until = format.HumanTime(m.ExpiresAt, "Never")
+			}
+			data = append(data, []string{m.Name, m.Digest[:12], format.HumanBytes(m.Size), procStr, until})
 		}
 	}

@@ -624,7 +667,7 @@ func ListRunningHandler(cmd *cobra.Command, args []string) error {
 	table.SetHeaderLine(false)
 	table.SetBorder(false)
 	table.SetNoWhiteSpace(true)
-	table.SetTablePadding("\t")
+	table.SetTablePadding("    ")
 	table.AppendBulk(data)
 	table.Render()

@@ -720,125 +763,89 @@ func ShowHandler(cmd *cobra.Command, args []string) error {
 		return nil
 	}

-	showInfo(resp)
-
-	return nil
+	return showInfo(resp, os.Stdout)
 }

-func showInfo(resp *api.ShowResponse) {
-	modelData := [][]string{
-		{"parameters", resp.Details.ParameterSize},
-		{"quantization", resp.Details.QuantizationLevel},
-	}
-	if resp.ModelInfo != nil {
-		arch := resp.ModelInfo["general.architecture"].(string)
-		modelData = append(modelData,
-			[]string{"arch", arch},
-			[]string{"context length", fmt.Sprintf("%v", resp.ModelInfo[fmt.Sprintf("%s.context_length", arch)].(float64))},
-			[]string{"embedding length", fmt.Sprintf("%v", resp.ModelInfo[fmt.Sprintf("%s.embedding_length", arch)].(float64))},
-		)
+func showInfo(resp *api.ShowResponse, w io.Writer) error {
+	tableRender := func(header string, rows func() [][]string) {
+		fmt.Fprintln(w, " ", header)
+		table := tablewriter.NewWriter(w)
+		table.SetAlignment(tablewriter.ALIGN_LEFT)
+		table.SetBorder(false)
+		table.SetNoWhiteSpace(true)
+		table.SetTablePadding("    ")
+
+		switch header {
+		case "Template", "System", "License":
+			table.SetColWidth(100)
+		}
+
+		table.AppendBulk(rows())
+		table.Render()
+		fmt.Fprintln(w)
 	}

-	mainTableData := [][]string{
-		{"Model"},
-		{renderSubTable(modelData, false)},
-	}
+	tableRender("Model", func() (rows [][]string) {
+		if resp.ModelInfo != nil {
+			arch := resp.ModelInfo["general.architecture"].(string)
+			rows = append(rows, []string{"", "architecture", arch})
+			rows = append(rows, []string{"", "parameters", format.HumanNumber(uint64(resp.ModelInfo["general.parameter_count"].(float64)))})
+			rows = append(rows, []string{"", "context length", strconv.FormatFloat(resp.ModelInfo[fmt.Sprintf("%s.context_length", arch)].(float64), 'f', -1, 64)})
+			rows = append(rows, []string{"", "embedding length", strconv.FormatFloat(resp.ModelInfo[fmt.Sprintf("%s.embedding_length", arch)].(float64), 'f', -1, 64)})
+		} else {
+			rows = append(rows, []string{"", "architecture", resp.Details.Family})
+			rows = append(rows, []string{"", "parameters", resp.Details.ParameterSize})
+		}
+		rows = append(rows, []string{"", "quantization", resp.Details.QuantizationLevel})
+		return
+	})

 	if resp.ProjectorInfo != nil {
-		projectorData := [][]string{
-			{"arch", "clip"},
-			{"parameters", format.HumanNumber(uint64(resp.ProjectorInfo["general.parameter_count"].(float64)))},
-		}
-
-		if projectorType, ok := resp.ProjectorInfo["clip.projector_type"]; ok {
-			projectorData = append(projectorData, []string{"projector type", projectorType.(string)})
-		}
-
-		projectorData = append(projectorData,
-			[]string{"embedding length", fmt.Sprintf("%v", resp.ProjectorInfo["clip.vision.embedding_length"].(float64))},
-			[]string{"projection dimensionality", fmt.Sprintf("%v", resp.ProjectorInfo["clip.vision.projection_dim"].(float64))},
-		)
-
-		mainTableData = append(mainTableData,
-			[]string{"Projector"},
-			[]string{renderSubTable(projectorData, false)},
-		)
+		tableRender("Projector", func() (rows [][]string) {
+			arch := resp.ProjectorInfo["general.architecture"].(string)
+			rows = append(rows, []string{"", "architecture", arch})
+			rows = append(rows, []string{"", "parameters", format.HumanNumber(uint64(resp.ProjectorInfo["general.parameter_count"].(float64)))})
+			rows = append(rows, []string{"", "embedding length", strconv.FormatFloat(resp.ProjectorInfo[fmt.Sprintf("%s.vision.embedding_length", arch)].(float64), 'f', -1, 64)})
+			rows = append(rows, []string{"", "dimensions", strconv.FormatFloat(resp.ProjectorInfo[fmt.Sprintf("%s.vision.projection_dim", arch)].(float64), 'f', -1, 64)})
+			return
+		})
 	}

 	if resp.Parameters != "" {
-		mainTableData = append(mainTableData, []string{"Parameters"}, []string{formatParams(resp.Parameters)})
+		tableRender("Parameters", func() (rows [][]string) {
+			scanner := bufio.NewScanner(strings.NewReader(resp.Parameters))
+			for scanner.Scan() {
+				if text := scanner.Text(); text != "" {
+					rows = append(rows, append([]string{""}, strings.Fields(text)...))
+				}
+			}
+			return
+		})
+	}
+
+	head := func(s string, n int) (rows [][]string) {
+		scanner := bufio.NewScanner(strings.NewReader(s))
+		for scanner.Scan() && (len(rows) < n || n < 0) {
+			if text := scanner.Text(); text != "" {
+				rows = append(rows, []string{"", strings.TrimSpace(text)})
+			}
+		}
+		return
 	}

 	if resp.System != "" {
-		mainTableData = append(mainTableData, []string{"System"}, []string{renderSubTable(twoLines(resp.System), true)})
+		tableRender("System", func() [][]string {
+			return head(resp.System, 2)
+		})
 	}

 	if resp.License != "" {
-		mainTableData = append(mainTableData, []string{"License"}, []string{renderSubTable(twoLines(resp.License), true)})
+		tableRender("License", func() [][]string {
+			return head(resp.License, 2)
+		})
 	}

-	table := tablewriter.NewWriter(os.Stdout)
-	table.SetAutoWrapText(false)
-	table.SetBorder(false)
-	table.SetAlignment(tablewriter.ALIGN_LEFT)
-
-	for _, v := range mainTableData {
-		table.Append(v)
-	}
-
-	table.Render()
-}
-
-func renderSubTable(data [][]string, file bool) string {
-	var buf bytes.Buffer
-	table := tablewriter.NewWriter(&buf)
-	table.SetAutoWrapText(!file)
-	table.SetBorder(false)
-	table.SetNoWhiteSpace(true)
-	table.SetTablePadding("\t")
-	table.SetAlignment(tablewriter.ALIGN_LEFT)
-
-	for _, v := range data {
-		table.Append(v)
-	}
-
-	table.Render()
-
-	renderedTable := buf.String()
-	lines := strings.Split(renderedTable, "\n")
-	for i, line := range lines {
-		lines[i] = "\t" + line
-	}
-
-	return strings.Join(lines, "\n")
-}
-
-func twoLines(s string) [][]string {
-	lines := strings.Split(s, "\n")
-	res := [][]string{}
-
-	count := 0
-	for _, line := range lines {
-		line = strings.TrimSpace(line)
-		if line != "" {
-			count++
-			res = append(res, []string{line})
-			if count == 2 {
-				return res
-			}
-		}
-	}
-	return res
-}
-
-func formatParams(s string) string {
-	lines := strings.Split(s, "\n")
-	table := [][]string{}
-
-	for _, line := range lines {
-		table = append(table, strings.Fields(line))
-	}
-	return renderSubTable(table, false)
+	return nil
 }

 func CopyHandler(cmd *cobra.Command, args []string) error {
@@ -1328,6 +1335,15 @@ func NewCLI() *cobra.Command {
 	runCmd.Flags().Bool("insecure", false, "Use an insecure registry")
 	runCmd.Flags().Bool("nowordwrap", false, "Don't wrap words to the next line automatically")
 	runCmd.Flags().String("format", "", "Response format (e.g. json)")
+
+	stopCmd := &cobra.Command{
+		Use:     "stop MODEL",
+		Short:   "Stop a running model",
+		Args:    cobra.ExactArgs(1),
+		PreRunE: checkServerHeartbeat,
+		RunE:    StopHandler,
+	}
+
 	serveCmd := &cobra.Command{
 		Use:     "serve",
 		Aliases: []string{"start"},
@@ -1395,6 +1411,7 @@ func NewCLI() *cobra.Command {
 		createCmd,
 		showCmd,
 		runCmd,
+		stopCmd,
 		pullCmd,
 		pushCmd,
 		listCmd,
@@ -1421,6 +1438,8 @@ func NewCLI() *cobra.Command {
 				envVars["OLLAMA_TMPDIR"],
 				envVars["OLLAMA_FLASH_ATTENTION"],
 				envVars["OLLAMA_LLM_LIBRARY"],
+				envVars["OLLAMA_GPU_OVERHEAD"],
+				envVars["OLLAMA_LOAD_TIMEOUT"],
 			})
 		default:
 			appendEnvDocs(cmd, envs)
@@ -1432,6 +1451,7 @@ func NewCLI() *cobra.Command {
 		createCmd,
 		showCmd,
 		runCmd,
+		stopCmd,
 		pullCmd,
 		pushCmd,
 		listCmd,
--- a/cmd/cmd_test.go
+++ b/cmd/cmd_test.go
@@ -0,0 +1,206 @@
+package cmd
+
+import (
+	"bytes"
+	"os"
+	"path/filepath"
+	"testing"
+
+	"github.com/google/go-cmp/cmp"
+
+	"github.com/ollama/ollama/api"
+)
+
+func TestShowInfo(t *testing.T) {
+	t.Run("bare details", func(t *testing.T) {
+		var b bytes.Buffer
+		if err := showInfo(&api.ShowResponse{
+			Details: api.ModelDetails{
+				Family:            "test",
+				ParameterSize:     "7B",
+				QuantizationLevel: "FP16",
+			},
+		}, &b); err != nil {
+			t.Fatal(err)
+		}
+
+		expect := `  Model
+    architecture    test    
+    parameters      7B      
+    quantization    FP16    
+
+`
+
+		if diff := cmp.Diff(expect, b.String()); diff != "" {
+			t.Errorf("unexpected output (-want +got):\n%s", diff)
+		}
+	})
+
+	t.Run("bare model info", func(t *testing.T) {
+		var b bytes.Buffer
+		if err := showInfo(&api.ShowResponse{
+			ModelInfo: map[string]any{
+				"general.architecture":    "test",
+				"general.parameter_count": float64(7_000_000_000),
+				"test.context_length":     float64(0),
+				"test.embedding_length":   float64(0),
+			},
+			Details: api.ModelDetails{
+				Family:            "test",
+				ParameterSize:     "7B",
+				QuantizationLevel: "FP16",
+			},
+		}, &b); err != nil {
+			t.Fatal(err)
+		}
+
+		expect := `  Model
+    architecture        test    
+    parameters          7B      
+    context length      0       
+    embedding length    0       
+    quantization        FP16    
+
+`
+		if diff := cmp.Diff(expect, b.String()); diff != "" {
+			t.Errorf("unexpected output (-want +got):\n%s", diff)
+		}
+	})
+
+	t.Run("parameters", func(t *testing.T) {
+		var b bytes.Buffer
+		if err := showInfo(&api.ShowResponse{
+			Details: api.ModelDetails{
+				Family:            "test",
+				ParameterSize:     "7B",
+				QuantizationLevel: "FP16",
+			},
+			Parameters: `
+			stop never
+			stop gonna
+			stop give
+			stop you
+			stop up
+			temperature 99`,
+		}, &b); err != nil {
+			t.Fatal(err)
+		}
+
+		expect := `  Model
+    architecture    test    
+    parameters      7B      
+    quantization    FP16    
+
+  Parameters
+    stop           never    
+    stop           gonna    
+    stop           give     
+    stop           you      
+    stop           up       
+    temperature    99       
+
+`
+		if diff := cmp.Diff(expect, b.String()); diff != "" {
+			t.Errorf("unexpected output (-want +got):\n%s", diff)
+		}
+	})
+
+	t.Run("project info", func(t *testing.T) {
+		var b bytes.Buffer
+		if err := showInfo(&api.ShowResponse{
+			Details: api.ModelDetails{
+				Family:            "test",
+				ParameterSize:     "7B",
+				QuantizationLevel: "FP16",
+			},
+			ProjectorInfo: map[string]any{
+				"general.architecture":         "clip",
+				"general.parameter_count":      float64(133_700_000),
+				"clip.vision.embedding_length": float64(0),
+				"clip.vision.projection_dim":   float64(0),
+			},
+		}, &b); err != nil {
+			t.Fatal(err)
+		}
+
+		expect := `  Model
+    architecture    test    
+    parameters      7B      
+    quantization    FP16    
+
+  Projector
+    architecture        clip       
+    parameters          133.70M    
+    embedding length    0          
+    dimensions          0          
+
+`
+		if diff := cmp.Diff(expect, b.String()); diff != "" {
+			t.Errorf("unexpected output (-want +got):\n%s", diff)
+		}
+	})
+
+	t.Run("system", func(t *testing.T) {
+		var b bytes.Buffer
+		if err := showInfo(&api.ShowResponse{
+			Details: api.ModelDetails{
+				Family:            "test",
+				ParameterSize:     "7B",
+				QuantizationLevel: "FP16",
+			},
+			System: `You are a pirate!
+Ahoy, matey!
+Weigh anchor!
+			`,
+		}, &b); err != nil {
+			t.Fatal(err)
+		}
+
+		expect := `  Model
+    architecture    test    
+    parameters      7B      
+    quantization    FP16    
+
+  System
+    You are a pirate!    
+    Ahoy, matey!         
+
+`
+		if diff := cmp.Diff(expect, b.String()); diff != "" {
+			t.Errorf("unexpected output (-want +got):\n%s", diff)
+		}
+	})
+
+	t.Run("license", func(t *testing.T) {
+		var b bytes.Buffer
+		license, err := os.ReadFile(filepath.Join("..", "LICENSE"))
+		if err != nil {
+			t.Fatal(err)
+		}
+
+		if err := showInfo(&api.ShowResponse{
+			Details: api.ModelDetails{
+				Family:            "test",
+				ParameterSize:     "7B",
+				QuantizationLevel: "FP16",
+			},
+			License: string(license),
+		}, &b); err != nil {
+			t.Fatal(err)
+		}
+
+		expect := `  Model
+    architecture    test    
+    parameters      7B      
+    quantization    FP16    
+
+  License
+    MIT License             
+    Copyright (c) Ollama    
+
+`
+		if diff := cmp.Diff(expect, b.String()); diff != "" {
+			t.Errorf("unexpected output (-want +got):\n%s", diff)
+		}
+	})
+}
--- a/cmd/interactive.go
+++ b/cmd/interactive.go
@@ -18,7 +18,6 @@ import (
 	"github.com/ollama/ollama/api"
 	"github.com/ollama/ollama/envconfig"
 	"github.com/ollama/ollama/parser"
-	"github.com/ollama/ollama/progress"
 	"github.com/ollama/ollama/readline"
 	"github.com/ollama/ollama/types/errtypes"
 )
@@ -31,25 +30,10 @@ const (
 	MultilineSystem
 )

-func loadModel(cmd *cobra.Command, opts *runOptions) error {
-	p := progress.NewProgress(os.Stderr)
-	defer p.StopAndClear()
-
-	spinner := progress.NewSpinner("")
-	p.Add("", spinner)
-
-	client, err := api.ClientFromEnvironment()
-	if err != nil {
-		return err
-	}
-
-	chatReq := &api.ChatRequest{
-		Model:     opts.Model,
-		KeepAlive: opts.KeepAlive,
-	}
-
-	return client.Chat(cmd.Context(), chatReq, func(api.ChatResponse) error { return nil })
-}
+const (
+	scannerPrompt    = ">>> "
+	scannerAltPrompt = "... "
+)

 func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 	usage := func() {
@@ -132,8 +116,8 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 	}

 	scanner, err := readline.New(readline.Prompt{
-		Prompt:         ">>> ",
-		AltPrompt:      "... ",
+		Prompt:         scannerPrompt,
+		AltPrompt:      scannerAltPrompt,
 		Placeholder:    "Send a message (/? for help)",
 		AltPlaceholder: `Use """ to end multi-line input`,
 	})
@@ -165,6 +149,11 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 			scanner.Prompt.UseAlt = false
 			sb.Reset()

+			continue
+		case errors.Is(err, readline.ErrNewLineDetected):
+			sb.WriteString(line)
+			fmt.Fprintln(&sb)
+			scanner.Prompt.Prompt = scannerAltPrompt
 			continue
 		case err != nil:
 			return err
@@ -190,7 +179,7 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {

 			multiline = MultilineNone
 			scanner.Prompt.UseAlt = false
-		case strings.HasPrefix(line, `"""`):
+		case strings.HasPrefix(line, `"""`) && !scanner.Pasting:
 			line := strings.TrimPrefix(line, `"""`)
 			line, ok := strings.CutSuffix(line, `"""`)
 			sb.WriteString(line)
@@ -217,7 +206,7 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 			opts.Model = args[1]
 			opts.Messages = []api.Message{}
 			fmt.Printf("Loading model '%s'\n", opts.Model)
-			if err := loadModel(cmd, &opts); err != nil {
+			if err := loadOrUnloadModel(cmd, &opts); err != nil {
 				return err
 			}
 			continue
@@ -371,7 +360,7 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {

 				switch args[1] {
 				case "info":
-					showInfo(resp)
+					_ = showInfo(resp, os.Stderr)
 				case "license":
 					if resp.License == "" {
 						fmt.Println("No license was specified for this model.")
@@ -454,7 +443,7 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 			sb.WriteString(line)
 		}

-		if sb.Len() > 0 && multiline == MultilineNone {
+		if sb.Len() > 0 && strings.TrimSpace(sb.String()) != "" && multiline == MultilineNone {
 			newMessage := api.Message{Role: "user", Content: sb.String()}

 			if opts.MultiModal {
@@ -485,6 +474,7 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 			}

 			sb.Reset()
+			scanner.Prompt.Prompt = scannerPrompt
 		}
 	}
 }
--- a/convert/convert.go
+++ b/convert/convert.go
@@ -208,14 +208,18 @@ func ConvertModel(fsys fs.FS, ws io.WriteSeeker) error {
 		return err
 	}

-	if vocabSize := int(p.VocabSize); vocabSize > len(t.Vocabulary.Tokens) {
-		slog.Warn("vocabulary is smaller than expected, padding with dummy tokens", "expect", p.VocabSize, "actual", len(t.Vocabulary.Tokens))
+	vocabSize := int(p.VocabSize)
+	switch {
+	case vocabSize > len(t.Vocabulary.Tokens):
+		slog.Warn("vocabulary is smaller than expected, padding with dummy tokens", "expect", vocabSize, "actual", len(t.Vocabulary.Tokens))
 		for i := range vocabSize - len(t.Vocabulary.Tokens) {
 			t.Vocabulary.Tokens = append(t.Vocabulary.Tokens, fmt.Sprintf("[PAD%d]", i))
 			t.Vocabulary.Scores = append(t.Vocabulary.Scores, -1)
 			t.Vocabulary.Types = append(t.Vocabulary.Types, tokenTypeUserDefined)
 		}
-	} else {
+	case vocabSize < len(t.Vocabulary.Tokens):
+		return fmt.Errorf("vocabulary is larger than expected '%d' instead of '%d'", len(t.Vocabulary.Tokens), vocabSize)
+	default:
 		slog.Debug("vocabulary", "size", len(t.Vocabulary.Tokens))
 	}

--- a/convert/convert_gemma2.go
+++ b/convert/convert_gemma2.go
@@ -34,10 +34,20 @@ func (p *gemma2Model) KV(t *Tokenizer) llm.KV {
 }

 func (p *gemma2Model) Replacements() []string {
-	return append(
-		p.gemmaModel.Replacements(),
+	return []string{
+		"model.embed_tokens", "token_embd",
+		"model.norm", "output_norm",
+		"model.layers", "blk",
+		"input_layernorm", "attn_norm",
+		"self_attn.q_proj", "attn_q",
+		"self_attn.k_proj", "attn_k",
+		"self_attn.v_proj", "attn_v",
+		"self_attn.o_proj", "attn_output",
+		"mlp.gate_proj", "ffn_gate",
+		"mlp.down_proj", "ffn_down",
+		"mlp.up_proj", "ffn_up",
 		"post_attention_layernorm", "post_attention_norm",
 		"pre_feedforward_layernorm", "ffn_norm",
 		"post_feedforward_layernorm", "post_ffw_norm",
-	)
+	}
 }
--- a/convert/convert_test.go
+++ b/convert/convert_test.go
@@ -15,6 +15,7 @@ import (
 	"os"
 	"path/filepath"
 	"slices"
+	"strings"
 	"testing"

 	"golang.org/x/exp/maps"
@@ -22,6 +23,12 @@ import (
 	"github.com/ollama/ollama/llm"
 )

+type tensorData struct {
+	Offsets []int  `json:"data_offsets"`
+	Type    string `json:"dtype"`
+	Shape   []int  `json:"shape"`
+}
+
 func convertFull(t *testing.T, fsys fs.FS) (*os.File, llm.KV, llm.Tensors) {
 	t.Helper()

@@ -96,6 +103,7 @@ func TestConvertModel(t *testing.T) {
 		"Mistral-7B-Instruct-v0.2",
 		"Mixtral-8x7B-Instruct-v0.1",
 		"gemma-2b-it",
+		"gemma-2-2b-it",
 		// microsoft/Phi-3-mini-128-instruct@d548c233192db00165d842bf8edff054bb3212f8
 		"Phi-3-mini-128k-instruct",
 		"all-MiniLM-L6-v2",
@@ -140,6 +148,36 @@ func TestConvertModel(t *testing.T) {
 	}
 }

+func TestConvertInvalidTensorNames(t *testing.T) {
+	f, err := os.CreateTemp(t.TempDir(), "testmodel")
+	if err != nil {
+		t.Fatal(err)
+	}
+	defer f.Close()
+
+	tempDir := t.TempDir()
+
+	td := map[string]*tensorData{}
+	offset := 4096
+
+	td["model.layers.0.self_attn.q_proj.weight"] = &tensorData{
+		Offsets: []int{0, offset},
+		Type:    "F32",
+		Shape:   []int{4096, 4096},
+	}
+	td["blk.0.attn_q.weight"] = &tensorData{
+		Offsets: []int{offset, offset * 2},
+		Type:    "F32",
+		Shape:   []int{4096, 4096},
+	}
+	generateSafetensorTestData(t, tempDir, td)
+
+	err = ConvertModel(os.DirFS(tempDir), f)
+	if err == nil || !strings.HasPrefix(err.Error(), "duplicate tensor name") {
+		t.Errorf("expected error but didn't get one")
+	}
+}
+
 func TestConvertInvalidDatatype(t *testing.T) {
 	f, err := os.CreateTemp(t.TempDir(), "testmodel")
 	if err != nil {
@@ -148,23 +186,10 @@ func TestConvertInvalidDatatype(t *testing.T) {
 	defer f.Close()

 	tempDir := t.TempDir()
-	generateSafetensorTestData(t, tempDir)
-
-	err = ConvertModel(os.DirFS(tempDir), f)
-	if err == nil || err.Error() != "unsupported safetensors model" {
-		t.Errorf("expected error but didn't get one")
-	}
-}
-
-func generateSafetensorTestData(t *testing.T, tempDir string) {
-	type tensorData struct {
-		Offsets []int  `json:"data_offsets"`
-		Type    string `json:"dtype"`
-		Shape   []int  `json:"shape"`
-	}
-	offset := 4096 * 14336

 	td := map[string]*tensorData{}
+	offset := 4096 * 14336
+
 	td["model.layers.0.mlp.down_proj.weight"] = &tensorData{
 		Offsets: []int{0, offset},
 		Type:    "I8",
@@ -175,8 +200,16 @@ func generateSafetensorTestData(t *testing.T, tempDir string) {
 		Type:    "U8",
 		Shape:   []int{},
 	}
+	generateSafetensorTestData(t, tempDir, td)

-	data, err := json.Marshal(td)
+	err = ConvertModel(os.DirFS(tempDir), f)
+	if err == nil || err.Error() != "unsupported safetensors model" {
+		t.Errorf("expected error but didn't get one")
+	}
+}
+
+func generateSafetensorTestData(t *testing.T, tempDir string, tensorData map[string]*tensorData) {
+	data, err := json.Marshal(tensorData)
 	if err != nil {
 		t.Fatal(err)
 	}
@@ -322,11 +355,6 @@ func TestConvertAdapter(t *testing.T) {
 }

 func generateLoraTestData(t *testing.T, tempDir string) {
-	type tensorData struct {
-		Offsets []int  `json:"data_offsets"`
-		Type    string `json:"dtype"`
-		Shape   []int  `json:"shape"`
-	}
 	offset := 4096 * 8 * 4

 	td := map[string]*tensorData{"__metadata__": nil}
--- a/convert/reader_safetensors.go
+++ b/convert/reader_safetensors.go
@@ -49,12 +49,19 @@ func parseSafetensors(fsys fs.FS, replacer *strings.Replacer, ps ...string) ([]T
 		keys := maps.Keys(headers)
 		slices.Sort(keys)

+		names := make(map[string]struct{}, len(keys))
+
 		for _, key := range keys {
 			if value := headers[key]; value.Type != "" {
 				// bitsandbytes quantized models are unsupported
 				if len(value.Shape) == 0 {
 					return nil, errors.New("unsupported safetensors model")
 				}
+				ggufName := replacer.Replace(key)
+				if _, ok := names[ggufName]; ok {
+					return nil, fmt.Errorf("duplicate tensor name '%s' was found for this model", ggufName)
+				}
+				names[ggufName] = struct{}{}
 				ts = append(ts, safetensor{
 					fs:     fsys,
 					path:   p,
@@ -62,7 +69,7 @@ func parseSafetensors(fsys fs.FS, replacer *strings.Replacer, ps ...string) ([]T
 					offset: safetensorsPad(n, value.Offsets[0]),
 					size:   safetensorsPad(n, value.Offsets[1]) - safetensorsPad(n, value.Offsets[0]),
 					tensorBase: &tensorBase{
-						name:  replacer.Replace(key),
+						name:  ggufName,
 						shape: value.Shape,
 					},
 				})
--- a/convert/testdata/gemma-2-2b-it.json
+++ b/convert/testdata/gemma-2-2b-it.json
@@ -0,0 +1,312 @@
+{
+  "general.architecture": "gemma2",
+  "general.file_type": "1",
+  "general.quantization_version": "2",
+  "gemma2.block_count": "26",
+  "gemma2.context_length": "8192",
+  "gemma2.embedding_length": "2304",
+  "gemma2.feed_forward_length": "9216",
+  "gemma2.attention.head_count": "8",
+  "gemma2.attention.head_count_kv": "4",
+  "gemma2.attention.key_length": "256",
+  "gemma2.attention.value_length": "256",
+  "gemma2.attention.layer_norm_rms_epsilon": "1e-06",
+  "tokenizer.ggml.model": "llama",
+  "tokenizer.ggml.add_bos_token": "true",
+  "tokenizer.ggml.add_eos_token": "false",
+  "tokenizer.ggml.bos_token_id": "2",
+  "tokenizer.ggml.eos_token_id": "1",
+  "tokenizer.ggml.padding_token_id": "0",
+  "tokenizer.ggml.unknown_token_id": "3",
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+  "blk.25.ffn_gate.weight": "1a4cb3f36735d59181721471452807903006539e5e1b5ceb4f72d1d7ae134127",
+  "blk.25.ffn_norm.weight": "8fd6bd0dcec5198761525a36992a57c9ec5e9da60a22092839a84ae8c4e87f26",
+  "blk.25.ffn_up.weight": "3a00f39bdd5f31dc5e3b281d2002e1ac4f2475d49a0ac1d7720a25b377dcd04a",
+  "blk.25.post_attention_norm.weight": "e5f31a648612c859b6d21c9ee426e87a86cb1973dfdd86276c767371d9cef5ad",
+  "blk.25.post_ffw_norm.weight": "553c3bd774922c99c2384380a142d019881d30dbf0fe3bf9430dabfb3f6cbd33",
+  "output_norm.weight": "49445c4585ab0a8135717a0bdb1cda4a062a030177d0119561d91542aec5744b"
+}
--- a/docs/api.md
+++ b/docs/api.md
@@ -69,7 +69,7 @@ Enable JSON mode by setting the `format` parameter to `json`. This will structur

 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3",
+  "model": "llama3.1",
  "prompt": "Why is the sky blue?"
 }'
 ```
@@ -80,7 +80,7 @@ A stream of JSON objects is returned:

 ```json
 {
-  "model": "llama3",
+  "model": "llama3.1",
  "created_at": "2023-08-04T08:52:19.385406455-07:00",
  "response": "The",
  "done": false
@@ -102,7 +102,7 @@ To calculate how fast the response is generated in tokens per second (token/s),

 ```json
 {
-  "model": "llama3",
+  "model": "llama3.1",
  "created_at": "2023-08-04T19:22:45.499127Z",
  "response": "",
  "done": true,
@@ -124,7 +124,7 @@ A response can be received in one reply when streaming is off.

 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3",
+  "model": "llama3.1",
  "prompt": "Why is the sky blue?",
  "stream": false
 }'
@@ -136,7 +136,7 @@ If `stream` is set to `false`, the response will be a single JSON object:

 ```json
 {
-  "model": "llama3",
+  "model": "llama3.1",
  "created_at": "2023-08-04T19:22:45.499127Z",
  "response": "The sky is blue because it is the color of the sky.",
  "done": true,
@@ -194,7 +194,7 @@ curl http://localhost:11434/api/generate -d '{

 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3",
+  "model": "llama3.1",
  "prompt": "What color is the sky at different times of the day? Respond using JSON",
  "format": "json",
  "stream": false
@@ -205,7 +205,7 @@ curl http://localhost:11434/api/generate -d '{

 ```json
 {
-  "model": "llama3",
+  "model": "llama3.1",
  "created_at": "2023-11-09T21:07:55.186497Z",
  "response": "{\n\"morning\": {\n\"color\": \"blue\"\n},\n\"noon\": {\n\"color\": \"blue-gray\"\n},\n\"afternoon\": {\n\"color\": \"warm gray\"\n},\n\"evening\": {\n\"color\": \"orange\"\n}\n}\n",
  "done": true,
@@ -327,7 +327,7 @@ If you want to set custom options for the model at runtime rather than in the Mo

 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3",
+  "model": "llama3.1",
  "prompt": "Why is the sky blue?",
  "stream": false,
  "options": {
@@ -368,7 +368,7 @@ curl http://localhost:11434/api/generate -d '{

 ```json
 {
-  "model": "llama3",
+  "model": "llama3.1",
  "created_at": "2023-08-04T19:22:45.499127Z",
  "response": "The sky is blue because it is the color of the sky.",
  "done": true,
@@ -390,7 +390,7 @@ If an empty prompt is provided, the model will be loaded into memory.

 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3"
+  "model": "llama3.1"
 }'
 ```

@@ -400,7 +400,7 @@ A single JSON object is returned:

 ```json
 {
-  "model": "llama3",
+  "model": "llama3.1",
  "created_at": "2023-12-18T19:52:07.071755Z",
  "response": "",
  "done": true
@@ -445,7 +445,7 @@ Send a chat message with a streaming response.

 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama3",
+  "model": "llama3.1",
  "messages": [
    {
      "role": "user",
@@ -461,7 +461,7 @@ A stream of JSON objects is returned:

 ```json
 {
-  "model": "llama3",
+  "model": "llama3.1",
  "created_at": "2023-08-04T08:52:19.385406455-07:00",
  "message": {
    "role": "assistant",
@@ -476,7 +476,7 @@ Final response:

 ```json
 {
-  "model": "llama3",
+  "model": "llama3.1",
  "created_at": "2023-08-04T19:22:45.499127Z",
  "done": true,
  "total_duration": 4883583458,
@@ -494,7 +494,7 @@ Final response:

 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama3",
+  "model": "llama3.1",
  "messages": [
    {
      "role": "user",
@@ -509,7 +509,7 @@ curl http://localhost:11434/api/chat -d '{

 ```json
 {
-  "model": "registry.ollama.ai/library/llama3:latest",
+  "model": "llama3.1",
  "created_at": "2023-12-12T14:13:43.416799Z",
  "message": {
    "role": "assistant",
@@ -533,7 +533,7 @@ Send a chat message with a conversation history. You can use this same approach

 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama3",
+  "model": "llama3.1",
  "messages": [
    {
      "role": "user",
@@ -557,7 +557,7 @@ A stream of JSON objects is returned:

 ```json
 {
-  "model": "llama3",
+  "model": "llama3.1",
  "created_at": "2023-08-04T08:52:19.385406455-07:00",
  "message": {
    "role": "assistant",
@@ -571,7 +571,7 @@ Final response:

 ```json
 {
-  "model": "llama3",
+  "model": "llama3.1",
  "created_at": "2023-08-04T19:22:45.499127Z",
  "done": true,
  "total_duration": 8113331500,
@@ -629,7 +629,7 @@ curl http://localhost:11434/api/chat -d '{

 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama3",
+  "model": "llama3.1",
  "messages": [
    {
      "role": "user",
@@ -647,7 +647,7 @@ curl http://localhost:11434/api/chat -d '{

 ```json
 {
-  "model": "registry.ollama.ai/library/llama3:latest",
+  "model": "llama3.1",
  "created_at": "2023-12-12T14:13:43.416799Z",
  "message": {
    "role": "assistant",
@@ -904,7 +904,7 @@ Show information about a model including details, modelfile, template, parameter

 ```shell
 curl http://localhost:11434/api/show -d '{
-  "name": "llama3"
+  "name": "llama3.1"
 }'
 ```

@@ -965,7 +965,7 @@ Copy a model. Creates a model with another name from an existing model.

 ```shell
 curl http://localhost:11434/api/copy -d '{
-  "source": "llama3",
+  "source": "llama3.1",
  "destination": "llama3-backup"
 }'
 ```
@@ -1020,7 +1020,7 @@ Download a model from the ollama library. Cancelled pulls are resumed from where

 ```shell
 curl http://localhost:11434/api/pull -d '{
-  "name": "llama3"
+  "name": "llama3.1"
 }'
 ```

--- a/docs/faq.md
+++ b/docs/faq.md
@@ -32,7 +32,7 @@ When using the API, specify the `num_ctx` parameter:

 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3",
+  "model": "llama3.1",
  "prompt": "Why is the sky blue?",
  "options": {
    "num_ctx": 4096
@@ -247,12 +247,12 @@ The `keep_alive` parameter can be set to:

 For example, to preload a model and leave it in memory use:
 ```shell
-curl http://localhost:11434/api/generate -d '{"model": "llama3", "keep_alive": -1}'
+curl http://localhost:11434/api/generate -d '{"model": "llama3.1", "keep_alive": -1}'
 ```

 To unload the model and free up memory use:
 ```shell
-curl http://localhost:11434/api/generate -d '{"model": "llama3", "keep_alive": 0}'
+curl http://localhost:11434/api/generate -d '{"model": "llama3.1", "keep_alive": 0}'
 ```

 Alternatively, you can change the amount of time all models are loaded into memory by setting the `OLLAMA_KEEP_ALIVE` environment variable when starting the Ollama server. The `OLLAMA_KEEP_ALIVE` variable uses the same parameter types as the `keep_alive` parameter types mentioned above. Refer to section explaining [how to configure the Ollama server](#how-do-i-configure-ollama-server) to correctly set the environment variable.
--- a/docs/gpu.md
+++ b/docs/gpu.md
@@ -10,7 +10,7 @@ Check your compute compatibility to see if your card is supported:
 | 9.0                | NVIDIA              | `H100`                                                                                                      |
 | 8.9                | GeForce RTX 40xx    | `RTX 4090` `RTX 4080 SUPER` `RTX 4080` `RTX 4070 Ti SUPER` `RTX 4070 Ti` `RTX 4070 SUPER` `RTX 4070` `RTX 4060 Ti` `RTX 4060`  |
 |                    | NVIDIA Professional | `L4` `L40` `RTX 6000`                                                                                       |
-| 8.6                | GeForce RTX 30xx    | `RTX 3090 Ti` `RTX 3090` `RTX 3080 Ti` `RTX 3080` `RTX 3070 Ti` `RTX 3070` `RTX 3060 Ti` `RTX 3060`         |
+| 8.6                | GeForce RTX 30xx    | `RTX 3090 Ti` `RTX 3090` `RTX 3080 Ti` `RTX 3080` `RTX 3070 Ti` `RTX 3070` `RTX 3060 Ti` `RTX 3060` `RTX 3050 Ti` `RTX 3050`   |
 |                    | NVIDIA Professional | `A40` `RTX A6000` `RTX A5000` `RTX A4000` `RTX A3000` `RTX A2000` `A10` `A16` `A2`                          |
 | 8.0                | NVIDIA              | `A100` `A30`                                                                                                |
 | 7.5                | GeForce GTX/RTX     | `GTX 1650 Ti` `TITAN RTX` `RTX 2080 Ti` `RTX 2080` `RTX 2070` `RTX 2060`                                    |
--- a/docs/import.md
+++ b/docs/import.md
@@ -38,7 +38,7 @@ Ollama supports importing adapters based on several different model architecture

 You can create the adapter using a fine tuning framework or tool which can output adapters in the Safetensors format, such as:

-  * Hugging Face [fine tuning framework] (https://huggingface.co/docs/transformers/en/training)
+  * Hugging Face [fine tuning framework](https://huggingface.co/docs/transformers/en/training)
  * [Unsloth](https://github.com/unslothai/unsloth)
  * [MLX](https://github.com/ml-explore/mlx)

--- a/docs/linux.md
+++ b/docs/linux.md
@@ -1,43 +1,57 @@
-# Ollama on Linux
+# Linux

 ## Install

-Install Ollama running this one-liner:
+To install Ollama, run the following command:

->
-
-```bash
+```shell
 curl -fsSL https://ollama.com/install.sh | sh
 ```

-## AMD Radeon GPU support
-
-While AMD has contributed the `amdgpu` driver upstream to the official linux
-kernel source, the version is older and may not support all ROCm features. We
-recommend you install the latest driver from
-https://www.amd.com/en/support/linux-drivers for best support of your Radeon
-GPU.
-
 ## Manual install

-### Download `ollama`
+Download and extract the package:

-Download and extract the Linux package:
-
-```bash
-curl -fsSL https://ollama.com/download/ollama-linux-amd64.tgz | sudo tar zx -C /usr
+```shell
+curl -L https://ollama.com/download/ollama-linux-amd64.tgz -o ollama-linux-amd64.tgz
+sudo tar -C /usr -xzf ollama-linux-amd64.tgz
 ```

-If you have an AMD GPU, also download and extract the ROCm package into the same location
-```bash
-curl -fsSL https://ollama.com/download/ollama-linux-amd64-rocm.tgz | sudo tar zx -C /usr
+Start Ollama:
+
+```shell
+ollama serve
+```
+
+In another terminal, verify that Ollama is running:
+
+```shell
+ollama -v
+```
+
+### AMD GPU install
+
+If you have an AMD GPU, also download and extract the additional ROCm package:
+
+```shell
+curl -L https://ollama.com/download/ollama-linux-amd64-rocm.tgz -o ollama-linux-amd64-rocm.tgz
+sudo tar -C /usr -xzf ollama-linux-amd64-rocm.tgz
+```
+
+### ARM64 install
+
+Download and extract the ARM64-specific package:
+
+```shell
+curl -L https://ollama.com/download/ollama-linux-arm64.tgz -o ollama-linux-arm64.tgz
+sudo tar -C /usr -xzf ollama-linux-arm64.tgz
 ```

 ### Adding Ollama as a startup service (recommended)

 Create a user and group for Ollama:

-```bash
+```shell
 sudo useradd -r -s /bin/false -U -m -d /usr/share/ollama ollama
 sudo usermod -a -G ollama $(whoami)
 ```
@@ -63,47 +77,54 @@ WantedBy=default.target

 Then start the service:

-```bash
+```shell
 sudo systemctl daemon-reload
 sudo systemctl enable ollama
 ```

-### Install CUDA drivers (optional – for Nvidia GPUs)
+### Install CUDA drivers (optional)

 [Download and install](https://developer.nvidia.com/cuda-downloads) CUDA.

 Verify that the drivers are installed by running the following command, which should print details about your GPU:

-```bash
+```shell
 nvidia-smi
 ```

-### Install ROCm (optional - for Radeon GPUs)
-[Download and Install](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/tutorial/quick-start.html)
+### Install AMD ROCm drivers (optional)

-Make sure to install ROCm v6
+[Download and Install](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/tutorial/quick-start.html) ROCm v6.

 ### Start Ollama

 Start Ollama and verify it is running:

-```bash
+```shell
 sudo systemctl start ollama
 sudo systemctl status ollama
 ```

-## Update
+> [!NOTE]
+> While AMD has contributed the `amdgpu` driver upstream to the official linux
+> kernel source, the version is older and may not support all ROCm features. We
+> recommend you install the latest driver from
+> https://www.amd.com/en/support/linux-drivers for best support of your Radeon
+> GPU.

-Update ollama by running the install script again:
+## Updating

-```bash
+Update Ollama by running the install script again:
+
+```shell
 curl -fsSL https://ollama.com/install.sh | sh
 ```

-Or by downloading the ollama binary:
+Or by re-downloading Ollama:

-```bash
-curl -fsSL https://ollama.com/download/ollama-linux-amd64.tgz | sudo tar zx -C /usr
+```shell
+curl -L https://ollama.com/download/ollama-linux-amd64.tgz -o ollama-linux-amd64.tgz
+sudo tar -C /usr -xzf ollama-linux-amd64.tgz
 ```

 ## Installing specific versions
@@ -112,15 +133,15 @@ Use `OLLAMA_VERSION` environment variable with the install script to install a s

 For example:

-```
-curl -fsSL https://ollama.com/install.sh | OLLAMA_VERSION=0.1.32 sh
+```shell
+curl -fsSL https://ollama.com/install.sh | OLLAMA_VERSION=0.3.9 sh
 ```

 ## Viewing logs

 To view logs of Ollama running as a startup service, run:

-```bash
+```shell
 journalctl -e -u ollama
 ```

@@ -128,7 +149,7 @@ journalctl -e -u ollama

 Remove the ollama service:

-```bash
+```shell
 sudo systemctl stop ollama
 sudo systemctl disable ollama
 sudo rm /etc/systemd/system/ollama.service
@@ -136,13 +157,13 @@ sudo rm /etc/systemd/system/ollama.service

 Remove the ollama binary from your bin directory (either `/usr/local/bin`, `/usr/bin`, or `/bin`):

-```bash
+```shell
 sudo rm $(which ollama)
 ```

 Remove the downloaded models and Ollama service user and group:

-```bash
+```shell
 sudo rm -r /usr/share/ollama
 sudo userdel ollama
 sudo groupdel ollama
--- a/docs/modelfile.md
+++ b/docs/modelfile.md
@@ -11,7 +11,7 @@ A model file is the blueprint to create and share models with Ollama.
 - [Examples](#examples)
 - [Instructions](#instructions)
  - [FROM (Required)](#from-required)
-    - [Build from llama3.1](#build-from-llama31)
+    - [Build from existing model](#build-from-existing-model)
    - [Build from a Safetensors model](#build-from-a-safetensors-model)
    - [Build from a GGUF file](#build-from-a-gguf-file)
  - [PARAMETER](#parameter)
@@ -50,7 +50,7 @@ INSTRUCTION arguments
 An example of a `Modelfile` creating a mario blueprint:

 ```modelfile
-FROM llama3
+FROM llama3.1
 # sets the temperature to 1 [higher is more creative, lower is more coherent]
 PARAMETER temperature 1
 # sets the context window size to 4096, this controls how many tokens the LLM can use as context to generate the next token
@@ -72,10 +72,10 @@ More examples are available in the [examples directory](../examples).
 To view the Modelfile of a given model, use the `ollama show --modelfile` command.

  ```bash
-  > ollama show --modelfile llama3
+  > ollama show --modelfile llama3.1
  # Modelfile generated by "ollama show"
  # To build a new Modelfile based on this one, replace the FROM line with:
-  # FROM llama3:latest
+  # FROM llama3.1:latest
  FROM /Users/pdevine/.ollama/models/blobs/sha256-00e1317cbf74d901080d7100f57580ba8dd8de57203072dc6f668324ba545f29
  TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|>

@@ -100,7 +100,7 @@ The `FROM` instruction defines the base model to use when creating a model.
 FROM <model name>:<tag>
 ```

-#### Build from llama3.1
+#### Build from existing model

 ```modelfile
 FROM llama3.1
--- a/docs/openai.md
+++ b/docs/openai.md
@@ -25,7 +25,7 @@ chat_completion = client.chat.completions.create(
            'content': 'Say this is a test',
        }
    ],
-    model='llama3',
+    model='llama3.1',
 )

 response = client.chat.completions.create(
@@ -46,13 +46,13 @@ response = client.chat.completions.create(
 )

 completion = client.completions.create(
-    model="llama3",
+    model="llama3.1",
    prompt="Say this is a test",
 )

 list_completion = client.models.list()

-model = client.models.retrieve("llama3")
+model = client.models.retrieve("llama3.1")

 embeddings = client.embeddings.create(
    model="all-minilm",
@@ -74,7 +74,7 @@ const openai = new OpenAI({

 const chatCompletion = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
-    model: 'llama3',
+    model: 'llama3.1',
 })

 const response = await openai.chat.completions.create({
@@ -94,13 +94,13 @@ const response = await openai.chat.completions.create({
 })

 const completion = await openai.completions.create({
-    model: "llama3",
+    model: "llama3.1",
    prompt: "Say this is a test.",
 })

 const listCompletion = await openai.models.list()

-const model = await openai.models.retrieve("llama3")
+const model = await openai.models.retrieve("llama3.1")

 const embedding = await openai.embeddings.create({
  model: "all-minilm",
@@ -114,7 +114,7 @@ const embedding = await openai.embeddings.create({
 curl http://localhost:11434/v1/chat/completions \
    -H "Content-Type: application/json" \
    -d '{
-        "model": "llama3",
+        "model": "llama3.1",
        "messages": [
            {
                "role": "system",
@@ -154,13 +154,13 @@ curl http://localhost:11434/v1/chat/completions \
 curl http://localhost:11434/v1/completions \
    -H "Content-Type: application/json" \
    -d '{
-        "model": "llama3",
+        "model": "llama3.1",
        "prompt": "Say this is a test"
    }'

 curl http://localhost:11434/v1/models

-curl http://localhost:11434/v1/models/llama3
+curl http://localhost:11434/v1/models/llama3.1

 curl http://localhost:11434/v1/embeddings \
    -H "Content-Type: application/json" \
@@ -274,7 +274,7 @@ curl http://localhost:11434/v1/embeddings \
 Before using a model, pull it locally `ollama pull`:

 ```shell
-ollama pull llama3
+ollama pull llama3.1
 ```

 ### Default model names
@@ -282,7 +282,7 @@ ollama pull llama3
 For tooling that relies on default OpenAI model names such as `gpt-3.5-turbo`, use `ollama cp` to copy an existing model name to a temporary name:

 ```
-ollama cp llama3 gpt-3.5-turbo
+ollama cp llama3.1 gpt-3.5-turbo
 ```

 Afterwards, this new model name can be specified the `model` field:
--- a/docs/template.md
+++ b/docs/template.md
@@ -33,7 +33,7 @@ Omitting a template in these models puts the responsibility of correctly templat
 To add templates in your model, you'll need to add a `TEMPLATE` command to the Modelfile. Here's an example using Meta's Llama 3.

 ```dockerfile
-FROM llama3
+FROM llama3.1

 TEMPLATE """{{- if .System }}<|start_header_id|>system<|end_header_id|>

--- a/docs/troubleshooting.md
+++ b/docs/troubleshooting.md
@@ -91,6 +91,17 @@ If none of those resolve the problem, gather additional information and file an
 - Check dmesg for any errors `sudo dmesg | grep -i nvrm` and `sudo dmesg | grep -i nvidia`


+## AMD GPU Discovery
+
+On linux, AMD GPU access typically requires `video` and/or `render` group membership to access the `/dev/kfd` device.  If permissions are not set up correctly, Ollama will detect this and report an error in the server log.
+
+When running in a container, in some Linux distributions and container runtimes, the ollama process may be unable to access the GPU.  Use `ls -ld /dev/kfd /dev/dri /dev/dri/*` on the host system to determine the group assignments on your system, and pass additional `--group-add ...` arguments to the container so it can access the required devices.
+
+If you are experiencing problems getting Ollama to correctly discover or use your GPU for inference, the following may help isolate the failure.
+- `AMD_LOG_LEVEL=3` Enable info log levels in the AMD HIP/ROCm libraries.  This can help show more detailed error codes that can help troubleshoot problems
+- `OLLAMA_DEBUG=1` During GPU discovery additional information will be reported
+- Check dmesg for any errors from amdgpu or kfd drivers `sudo dmesg | grep -i amdgpu` and `sudo dmesg | grep -i kfd`
+
 ## Windows Terminal Errors

 Older versions of Windows 10 (e.g., 21H1) are known to have a bug where the standard terminal program does not display control characters correctly.  This can result in a long string of strings like `←[?25h←[?25l` being displayed, sometimes erroring with `The parameter is incorrect`  To resolve this problem, please update to Win 10 22H1 or newer.
--- a/docs/windows.md
+++ b/docs/windows.md
@@ -29,7 +29,7 @@ Ollama uses unicode characters for progress indication, which may render as unkn

 Here's a quick example showing API access from `powershell`
 ```powershell
-(Invoke-WebRequest -method POST -Body '{"model":"llama3", "prompt":"Why is the sky blue?", "stream": false}' -uri http://localhost:11434/api/generate ).Content | ConvertFrom-json
+(Invoke-WebRequest -method POST -Body '{"model":"llama3.1", "prompt":"Why is the sky blue?", "stream": false}' -uri http://localhost:11434/api/generate ).Content | ConvertFrom-json
 ```

 ## Troubleshooting
@@ -48,6 +48,9 @@ the explorer window by hitting `<cmd>+R` and type in:
 - `explorer %HOMEPATH%\.ollama` contains models and configuration
 - `explorer %TEMP%` contains temporary executable files in one or more `ollama*` directories

+## Uninstall
+
+The Ollama Windows installer registers an Uninstaller application.  Under `Add or remove programs` in Windows Settings, you can uninstall Ollama.

 ## Standalone CLI

--- a/envconfig/config.go
+++ b/envconfig/config.go
@@ -112,6 +112,26 @@ func KeepAlive() (keepAlive time.Duration) {
 	return keepAlive
 }

+// LoadTimeout returns the duration for stall detection during model loads. LoadTimeout can be configured via the OLLAMA_LOAD_TIMEOUT environment variable.
+// Zero or Negative values are treated as infinite.
+// Default is 5 minutes.
+func LoadTimeout() (loadTimeout time.Duration) {
+	loadTimeout = 5 * time.Minute
+	if s := Var("OLLAMA_LOAD_TIMEOUT"); s != "" {
+		if d, err := time.ParseDuration(s); err == nil {
+			loadTimeout = d
+		} else if n, err := strconv.ParseInt(s, 10, 64); err == nil {
+			loadTimeout = time.Duration(n) * time.Second
+		}
+	}
+
+	if loadTimeout <= 0 {
+		return time.Duration(math.MaxInt64)
+	}
+
+	return loadTimeout
+}
+
 func Bool(k string) func() bool {
 	return func() bool {
 		if s := Var(k); s != "" {
@@ -159,53 +179,6 @@ var (
 	HsaOverrideGfxVersion = String("HSA_OVERRIDE_GFX_VERSION")
 )

-func RunnersDir() (p string) {
-	if p := Var("OLLAMA_RUNNERS_DIR"); p != "" {
-		return p
-	}
-
-	if runtime.GOOS != "windows" {
-		return
-	}
-
-	defer func() {
-		if p == "" {
-			slog.Error("unable to locate llm runner directory. Set OLLAMA_RUNNERS_DIR to the location of 'ollama/runners'")
-		}
-	}()
-
-	// On Windows we do not carry the payloads inside the main executable
-	exe, err := os.Executable()
-	if err != nil {
-		return
-	}
-
-	cwd, err := os.Getwd()
-	if err != nil {
-		return
-	}
-
-	var paths []string
-	for _, root := range []string{filepath.Dir(exe), filepath.Join(filepath.Dir(exe), LibRelativeToExe()), cwd} {
-		paths = append(paths,
-			root,
-			filepath.Join(root, runtime.GOOS+"-"+runtime.GOARCH),
-			filepath.Join(root, "dist", runtime.GOOS+"-"+runtime.GOARCH),
-		)
-	}
-
-	// Try a few variations to improve developer experience when building from source in the local tree
-	for _, path := range paths {
-		candidate := filepath.Join(path, "lib", "ollama", "runners")
-		if _, err := os.Stat(candidate); err == nil {
-			p = candidate
-			break
-		}
-	}
-
-	return p
-}
-
 func Uint(key string, defaultValue uint) func() uint {
 	return func() uint {
 		if s := Var(key); s != "" {
@@ -231,6 +204,23 @@ var (
 	MaxVRAM = Uint("OLLAMA_MAX_VRAM", 0)
 )

+func Uint64(key string, defaultValue uint64) func() uint64 {
+	return func() uint64 {
+		if s := Var(key); s != "" {
+			if n, err := strconv.ParseUint(s, 10, 64); err != nil {
+				slog.Warn("invalid environment variable, using default", "key", key, "value", s, "default", defaultValue)
+			} else {
+				return n
+			}
+		}
+
+		return defaultValue
+	}
+}
+
+// Set aside VRAM per GPU
+var GpuOverhead = Uint64("OLLAMA_GPU_OVERHEAD", 0)
+
 type EnvVar struct {
 	Name        string
 	Value       any
@@ -241,9 +231,11 @@ func AsMap() map[string]EnvVar {
 	ret := map[string]EnvVar{
 		"OLLAMA_DEBUG":             {"OLLAMA_DEBUG", Debug(), "Show additional debug information (e.g. OLLAMA_DEBUG=1)"},
 		"OLLAMA_FLASH_ATTENTION":   {"OLLAMA_FLASH_ATTENTION", FlashAttention(), "Enabled flash attention"},
+		"OLLAMA_GPU_OVERHEAD":      {"OLLAMA_GPU_OVERHEAD", GpuOverhead(), "Reserve a portion of VRAM per GPU (bytes)"},
 		"OLLAMA_HOST":              {"OLLAMA_HOST", Host(), "IP Address for the ollama server (default 127.0.0.1:11434)"},
 		"OLLAMA_KEEP_ALIVE":        {"OLLAMA_KEEP_ALIVE", KeepAlive(), "The duration that models stay loaded in memory (default \"5m\")"},
 		"OLLAMA_LLM_LIBRARY":       {"OLLAMA_LLM_LIBRARY", LLMLibrary(), "Set LLM library to bypass autodetection"},
+		"OLLAMA_LOAD_TIMEOUT":      {"OLLAMA_LOAD_TIMEOUT", LoadTimeout(), "How long to allow model loads to stall before giving up (default \"5m\")"},
 		"OLLAMA_MAX_LOADED_MODELS": {"OLLAMA_MAX_LOADED_MODELS", MaxRunners(), "Maximum number of loaded models per GPU"},
 		"OLLAMA_MAX_QUEUE":         {"OLLAMA_MAX_QUEUE", MaxQueue(), "Maximum number of queued requests"},
 		"OLLAMA_MODELS":            {"OLLAMA_MODELS", Models(), "The path to the models directory"},
@@ -251,10 +243,22 @@ func AsMap() map[string]EnvVar {
 		"OLLAMA_NOPRUNE":           {"OLLAMA_NOPRUNE", NoPrune(), "Do not prune model blobs on startup"},
 		"OLLAMA_NUM_PARALLEL":      {"OLLAMA_NUM_PARALLEL", NumParallel(), "Maximum number of parallel requests"},
 		"OLLAMA_ORIGINS":           {"OLLAMA_ORIGINS", Origins(), "A comma separated list of allowed origins"},
-		"OLLAMA_RUNNERS_DIR":       {"OLLAMA_RUNNERS_DIR", RunnersDir(), "Location for runners"},
 		"OLLAMA_SCHED_SPREAD":      {"OLLAMA_SCHED_SPREAD", SchedSpread(), "Always schedule model across all GPUs"},
 		"OLLAMA_TMPDIR":            {"OLLAMA_TMPDIR", TmpDir(), "Location for temporary files"},
+
+		// Informational
+		"HTTP_PROXY":  {"HTTP_PROXY", String("HTTP_PROXY")(), "HTTP proxy"},
+		"HTTPS_PROXY": {"HTTPS_PROXY", String("HTTPS_PROXY")(), "HTTPS proxy"},
+		"NO_PROXY":    {"NO_PROXY", String("NO_PROXY")(), "No proxy"},
 	}
+
+	if runtime.GOOS != "windows" {
+		// Windows environment variables are case-insensitive so there's no need to duplicate them
+		ret["http_proxy"] = EnvVar{"http_proxy", String("http_proxy")(), "HTTP proxy"}
+		ret["https_proxy"] = EnvVar{"https_proxy", String("https_proxy")(), "HTTPS proxy"}
+		ret["no_proxy"] = EnvVar{"no_proxy", String("no_proxy")(), "No proxy"}
+	}
+
 	if runtime.GOOS != "darwin" {
 		ret["CUDA_VISIBLE_DEVICES"] = EnvVar{"CUDA_VISIBLE_DEVICES", CudaVisibleDevices(), "Set which NVIDIA devices are visible"}
 		ret["HIP_VISIBLE_DEVICES"] = EnvVar{"HIP_VISIBLE_DEVICES", HipVisibleDevices(), "Set which AMD devices are visible"}
@@ -263,6 +267,7 @@ func AsMap() map[string]EnvVar {
 		ret["HSA_OVERRIDE_GFX_VERSION"] = EnvVar{"HSA_OVERRIDE_GFX_VERSION", HsaOverrideGfxVersion(), "Override the gfx used for all detected AMD GPUs"}
 		ret["OLLAMA_INTEL_GPU"] = EnvVar{"OLLAMA_INTEL_GPU", IntelGPU(), "Enable experimental Intel GPU detection"}
 	}
+
 	return ret
 }

--- a/envconfig/config_test.go
+++ b/envconfig/config_test.go
@@ -215,6 +215,40 @@ func TestKeepAlive(t *testing.T) {
 	}
 }

+func TestLoadTimeout(t *testing.T) {
+	defaultTimeout := 5 * time.Minute
+	cases := map[string]time.Duration{
+		"":       defaultTimeout,
+		"1s":     time.Second,
+		"1m":     time.Minute,
+		"1h":     time.Hour,
+		"5m0s":   defaultTimeout,
+		"1h2m3s": 1*time.Hour + 2*time.Minute + 3*time.Second,
+		"0":      time.Duration(math.MaxInt64),
+		"60":     60 * time.Second,
+		"120":    2 * time.Minute,
+		"3600":   time.Hour,
+		"-0":     time.Duration(math.MaxInt64),
+		"-1":     time.Duration(math.MaxInt64),
+		"-1m":    time.Duration(math.MaxInt64),
+		// invalid values
+		" ":   defaultTimeout,
+		"???": defaultTimeout,
+		"1d":  defaultTimeout,
+		"1y":  defaultTimeout,
+		"1w":  defaultTimeout,
+	}
+
+	for tt, expect := range cases {
+		t.Run(tt, func(t *testing.T) {
+			t.Setenv("OLLAMA_LOAD_TIMEOUT", tt)
+			if actual := LoadTimeout(); actual != expect {
+				t.Errorf("%s: expected %s, got %s", tt, expect, actual)
+			}
+		})
+	}
+}
+
 func TestVar(t *testing.T) {
 	cases := map[string]string{
 		"value":       "value",
--- a/examples/langchain-python-rag-privategpt/requirements.txt
+++ b/examples/langchain-python-rag-privategpt/requirements.txt
@@ -1,6 +1,6 @@
 langchain==0.0.274
 gpt4all==1.0.8
-chromadb==0.4.7
+chromadb==0.5.0
 llama-cpp-python==0.1.81
 urllib3==2.0.4
 PyMuPDF==1.23.5
@@ -12,4 +12,4 @@ pandoc==2.3
 pypandoc==1.11
 tqdm==4.66.1
 sentence_transformers==2.2.2
-numpy>=1.22.2 # not directly required, pinned by Snyk to avoid a vulnerability
+numpy>=1.22.2 # not directly required, pinned by Snyk to avoid a vulnerability
--- a/examples/python-loganalysis/Modelfile
+++ b/examples/python-loganalysis/Modelfile
@@ -4,5 +4,5 @@ SYSTEM """
 You are a log file analyzer. You will receive a set of lines from a log file for some software application, find the errors and other interesting aspects of the logs, and explain them so a new user can understand what they mean. If there are any steps they can do to resolve them, list the steps in your answer.
 """

-PARAMETER TEMPERATURE 0.3
+PARAMETER temperature 0.3

--- a/examples/python-loganalysis/readme.md
+++ b/examples/python-loganalysis/readme.md
@@ -21,6 +21,8 @@ You can try this with the `logtest.logfile` file included in this directory.
 2. Install the Python Requirements.

   ```bash
+   python3 -m venv .venv
+   source .venv/bin/activate
   pip install -r requirements.txt
   ```

--- a/examples/python-loganalysis/requirements.txt
+++ b/examples/python-loganalysis/requirements.txt
@@ -1 +1 @@
-Requests==2.31.0
+Requests>=2.32.3
--- a/gpu/amd_linux.go
+++ b/gpu/amd_linux.go
@@ -5,6 +5,7 @@ import (
 	"errors"
 	"fmt"
 	"io"
+	"io/fs"
 	"log/slog"
 	"os"
 	"path/filepath"
@@ -359,6 +360,10 @@ func AMDGetGPUInfo() []RocmGPUInfo {
 	if len(resp) == 0 {
 		slog.Info("no compatible amdgpu devices detected")
 	}
+	if err := verifyKFDDriverAccess(); err != nil {
+		slog.Error("amdgpu devices detected but permission problems block access", "error", err)
+		return nil
+	}
 	return resp
 }

@@ -455,3 +460,19 @@ func getFreeMemory(usedFile string) (uint64, error) {
 	}
 	return usedMemory, nil
 }
+
+func verifyKFDDriverAccess() error {
+	// Verify we have permissions - either running as root, or we have group access to the driver
+	fd, err := os.OpenFile("/dev/kfd", os.O_RDWR, 0o666)
+	if err != nil {
+		if errors.Is(err, fs.ErrPermission) {
+			return fmt.Errorf("permissions not set up properly.  Either run ollama as root, or add you user account to the render group. %w", err)
+		} else if errors.Is(err, fs.ErrNotExist) {
+			// Container runtime failure?
+			return fmt.Errorf("kfd driver not loaded.  If running in a container, remember to include '--device /dev/kfd --device /dev/dri'")
+		}
+		return fmt.Errorf("failed to check permission on /dev/kfd: %w", err)
+	}
+	fd.Close()
+	return nil
+}
--- a/gpu/assets.go
+++ b/gpu/assets.go
@@ -1,148 +0,0 @@
-package gpu
-
-import (
-	"errors"
-	"fmt"
-	"log/slog"
-	"os"
-	"path/filepath"
-	"runtime"
-	"strconv"
-	"strings"
-	"sync"
-	"syscall"
-	"time"
-
-	"github.com/ollama/ollama/envconfig"
-)
-
-var (
-	lock        sync.Mutex
-	payloadsDir = ""
-)
-
-func PayloadsDir() (string, error) {
-	lock.Lock()
-	defer lock.Unlock()
-	var err error
-	if payloadsDir == "" {
-		runnersDir := envconfig.RunnersDir()
-
-		if runnersDir != "" {
-			payloadsDir = runnersDir
-			return payloadsDir, nil
-		}
-
-		// The remainder only applies on non-windows where we still carry payloads in the main executable
-		cleanupTmpDirs()
-		tmpDir := envconfig.TmpDir()
-		if tmpDir == "" {
-			tmpDir, err = os.MkdirTemp("", "ollama")
-			if err != nil {
-				return "", fmt.Errorf("failed to generate tmp dir: %w", err)
-			}
-		} else {
-			err = os.MkdirAll(tmpDir, 0o755)
-			if err != nil {
-				return "", fmt.Errorf("failed to generate tmp dir %s: %w", tmpDir, err)
-			}
-		}
-
-		// Track our pid so we can clean up orphaned tmpdirs
-		n := filepath.Join(tmpDir, "ollama.pid")
-		if err := os.WriteFile(n, []byte(strconv.Itoa(os.Getpid())), 0o644); err != nil {
-			return "", fmt.Errorf("failed to write pid file %s: %w", n, err)
-		}
-
-		// We create a distinct subdirectory for payloads within the tmpdir
-		// This will typically look like /tmp/ollama3208993108/runners on linux
-		payloadsDir = filepath.Join(tmpDir, "runners")
-	}
-	return payloadsDir, nil
-}
-
-// Best effort to clean up prior tmpdirs
-func cleanupTmpDirs() {
-	matches, err := filepath.Glob(filepath.Join(os.TempDir(), "ollama*", "ollama.pid"))
-	if err != nil {
-		return
-	}
-
-	for _, match := range matches {
-		raw, err := os.ReadFile(match)
-		if errors.Is(err, os.ErrNotExist) {
-			slog.Debug("not a ollama runtime directory, skipping", "path", match)
-			continue
-		} else if err != nil {
-			slog.Warn("could not read ollama.pid, skipping", "path", match, "error", err)
-			continue
-		}
-
-		pid, err := strconv.Atoi(string(raw))
-		if err != nil {
-			slog.Warn("invalid pid, skipping", "path", match, "error", err)
-			continue
-		}
-
-		p, err := os.FindProcess(pid)
-		if err == nil && !errors.Is(p.Signal(syscall.Signal(0)), os.ErrProcessDone) {
-			slog.Warn("process still running, skipping", "pid", pid, "path", match)
-			continue
-		}
-
-		if err := os.Remove(match); err != nil {
-			slog.Warn("could not cleanup stale pidfile", "path", match, "error", err)
-		}
-
-		runners := filepath.Join(filepath.Dir(match), "runners")
-		if err := os.RemoveAll(runners); err != nil {
-			slog.Warn("could not cleanup stale runners", "path", runners, "error", err)
-		}
-
-		if err := os.Remove(filepath.Dir(match)); err != nil {
-			slog.Warn("could not cleanup stale tmpdir", "path", filepath.Dir(match), "error", err)
-		}
-	}
-}
-
-func Cleanup() {
-	lock.Lock()
-	defer lock.Unlock()
-	runnersDir := envconfig.RunnersDir()
-	if payloadsDir != "" && runnersDir == "" && runtime.GOOS != "windows" {
-		// We want to fully clean up the tmpdir parent of the payloads dir
-		tmpDir := filepath.Clean(filepath.Join(payloadsDir, ".."))
-		slog.Debug("cleaning up", "dir", tmpDir)
-		err := os.RemoveAll(tmpDir)
-		if err != nil {
-			// On windows, if we remove too quickly the llama.dll may still be in-use and fail to remove
-			time.Sleep(1000 * time.Millisecond)
-			err = os.RemoveAll(tmpDir)
-			if err != nil {
-				slog.Warn("failed to clean up", "dir", tmpDir, "err", err)
-			}
-		}
-	}
-}
-
-func UpdatePath(dir string) {
-	if runtime.GOOS == "windows" {
-		tmpDir := filepath.Dir(dir)
-		pathComponents := strings.Split(os.Getenv("PATH"), ";")
-		i := 0
-		for _, comp := range pathComponents {
-			if strings.EqualFold(comp, dir) {
-				return
-			}
-			// Remove any other prior paths to our temp dir
-			if !strings.HasPrefix(strings.ToLower(comp), strings.ToLower(tmpDir)) {
-				pathComponents[i] = comp
-				i++
-			}
-		}
-		newPath := strings.Join(append([]string{dir}, pathComponents...), ";")
-		slog.Info("updating", "PATH", newPath)
-		os.Setenv("PATH", newPath)
-	}
-	// linux and darwin rely on rpath
-}
--- a/gpu/gpu.go
+++ b/gpu/gpu.go
@@ -93,10 +93,9 @@ func initCudaHandles() *cudaHandles {
 		localAppData := os.Getenv("LOCALAPPDATA")
 		cudartMgmtPatterns = []string{filepath.Join(localAppData, "Programs", "Ollama", CudartMgmtName)}
 	}
-	tmpDir, _ := PayloadsDir()
-	if tmpDir != "" {
-		// TODO - add "payloads" for subprocess
-		cudartMgmtPatterns = []string{filepath.Join(tmpDir, "cuda*", CudartMgmtName)}
+	libDir := LibraryDir()
+	if libDir != "" {
+		cudartMgmtPatterns = []string{filepath.Join(libDir, CudartMgmtName)}
 	}
 	cudartMgmtPatterns = append(cudartMgmtPatterns, CudartGlobs...)

--- a/llm/ext_server/server.cpp
+++ b/llm/ext_server/server.cpp
@@ -913,7 +913,9 @@ struct llama_server_context
        slot.sampled = result.tok;

        // search stop word and delete it
-        slot.generated_text += token_str;
+        if (!llama_token_is_eog(model, result.tok))
+            slot.generated_text += token_str;
+
        slot.has_next_token = true;

        if (slot.ctx_sampling->params.use_penalty_prompt_tokens && result.tok != -1)
@@ -954,30 +956,36 @@ struct llama_server_context
        if (!incomplete)
        {
            size_t pos = std::min(slot.n_sent_text, slot.generated_text.size());
-            const std::string str_test = slot.generated_text.substr(pos);
-            bool is_stop_full = false;
-            size_t stop_pos = find_stopping_strings(str_test, token_str.size(), STOP_FULL, slot);
-            if (stop_pos != std::string::npos)
-            {
-                is_stop_full = true;
-                slot.generated_text.erase(
-                    slot.generated_text.begin() + pos + stop_pos,
-                    slot.generated_text.end());
-                pos = std::min(slot.n_sent_text, slot.generated_text.size());
-            }
-            else
-            {
-                is_stop_full = false;
-                stop_pos = find_stopping_strings(str_test, token_str.size(), STOP_PARTIAL, slot);
-            }

-            // check if there is any token to predict
-            if (stop_pos == std::string::npos || (!slot.has_next_token && !is_stop_full && stop_pos > 0))
-            {
-                // no send the stop word in the response
-                result.text_to_send = slot.generated_text.substr(pos, std::string::npos);
-                slot.n_sent_text += result.text_to_send.size();
-                // add the token to slot queue and cache
+            if (!llama_token_is_eog(model, result.tok)) {
+                const std::string str_test = slot.generated_text.substr(pos);
+                bool is_stop_full = false;
+                size_t stop_pos = find_stopping_strings(str_test, token_str.size(), STOP_FULL, slot);
+                if (stop_pos != std::string::npos)
+                {
+                    is_stop_full = true;
+                    slot.generated_text.erase(
+                        slot.generated_text.begin() + pos + stop_pos,
+                        slot.generated_text.end());
+                    pos = std::min(slot.n_sent_text, slot.generated_text.size());
+                }
+                else
+                {
+                    is_stop_full = false;
+                    stop_pos = find_stopping_strings(str_test, token_str.size(), STOP_PARTIAL, slot);
+                }
+
+                // check if there is any token to predict
+                if (stop_pos == std::string::npos || (!slot.has_next_token && !is_stop_full && stop_pos > 0))
+                {
+                    // no send the stop word in the response
+                    result.text_to_send = slot.generated_text.substr(pos, std::string::npos);
+                    slot.n_sent_text += result.text_to_send.size();
+                    // add the token to slot queue and cache
+                }
+            } else {
+                    result.text_to_send = slot.generated_text.substr(pos, std::string::npos);
+                    slot.n_sent_text += result.text_to_send.size();
            }

            if (slot.params.stream)
@@ -1117,9 +1125,7 @@ struct llama_server_context
            {"multimodal", multimodal}
        };

-        if (!llama_token_is_eog(model, tkn.tok)) {
-            res.result_json["content"] = tkn.text_to_send;
-        }
+        res.result_json["content"] = tkn.text_to_send;

        if (slot.sparams.n_probs > 0)
        {
--- a/llm/generate/gen_common.sh
+++ b/llm/generate/gen_common.sh
@@ -31,6 +31,7 @@ init_vars() {
        NO_WHOLE_ARCHIVE=""
        GCC_ARCH="-arch ${ARCH}"
        DIST_BASE=../../dist/darwin-${GOARCH}/
+        PAYLOAD_BASE=../../build/darwin/${GOARCH}
        ;;
    "Linux")
        LIB_EXT="so"
@@ -40,6 +41,7 @@ init_vars() {
        # Cross compiling not supported on linux - Use docker
        GCC_ARCH=""
        DIST_BASE=../../dist/linux-${GOARCH}/
+        PAYLOAD_BASE=../../build/linux/${GOARCH}
        ;;
    *)
        ;;
@@ -47,7 +49,8 @@ init_vars() {
    if [ -z "${CMAKE_CUDA_ARCHITECTURES}" ] ; then
        CMAKE_CUDA_ARCHITECTURES="50;52;61;70;75;80"
    fi
-    GZIP=$(which pigz 2>/dev/null || echo "gzip")
+    GZIP=$(command -v pigz 2>/dev/null || echo "gzip")
+    RUNNER_BASE="${DIST_BASE}/lib/ollama/runners"
 }

 git_module_setup() {
@@ -66,22 +69,10 @@ git_module_setup() {
 }

 apply_patches() {
-    # Wire up our CMakefile
-    if ! grep ollama ${LLAMACPP_DIR}/CMakeLists.txt; then
-        echo 'add_subdirectory(../ext_server ext_server) # ollama' >>${LLAMACPP_DIR}/CMakeLists.txt
-    fi
-
-    if [ -n "$(ls -A ../patches/*.diff)" ]; then
-        # apply temporary patches until fix is upstream
-        for patch in ../patches/*.diff; do
-            for file in $(grep "^+++ " ${patch} | cut -f2 -d' ' | cut -f2- -d/); do
-                (cd ${LLAMACPP_DIR}; git checkout ${file})
-            done
-        done
-        for patch in ../patches/*.diff; do
-            (cd ${LLAMACPP_DIR} && git apply ${patch})
-        done
-    fi
+    # apply temporary patches until fix is upstream
+    for patch in ../patches/*.patch; do
+        git -c 'user.name=nobody' -c 'user.email=<>' -C ${LLAMACPP_DIR} am ${patch}
+    done
 }

 build() {
@@ -91,17 +82,34 @@ build() {
    rm -f ${BUILD_DIR}/bin/ggml-common.h ${BUILD_DIR}/bin/ggml-metal.metal
 }

-compress() {
-    echo "Compressing payloads to reduce overall binary size..."
-    rm -rf ${BUILD_DIR}/bin/*.gz
+dist() {
+    [ -z "${RUNNER}" ] && exit 1
+    mkdir -p ${RUNNER_BASE}/${RUNNER}/
    for f in ${BUILD_DIR}/bin/* ; do
-        ${GZIP} -n --best -f ${f} &
+        cp ${f} ${RUNNER_BASE}/${RUNNER}/
+    done
+    # check for lib directory
+    if [ -d ${BUILD_DIR}/lib ]; then
+        for f in ${BUILD_DIR}/lib/* ; do
+            cp ${f} ${RUNNER_BASE}/${RUNNER}/
+        done
+    fi
+}
+
+# Compress from the build $BUILD_DIR into the $PAYLOAD_BASE/$RUNNER dir
+compress() {
+    [ -z "${RUNNER}" ] && exit 1
+    echo "Compressing payloads with ${GZIP} to reduce overall binary size..."
+    rm -rf "${PAYLOAD_BASE}/${RUNNER}/"
+    mkdir -p "${PAYLOAD_BASE}/${RUNNER}/"
+    for f in ${BUILD_DIR}/bin/* ; do
+        ${GZIP} -c --best ${f} > "${PAYLOAD_BASE}/${RUNNER}/$(basename ${f}).gz" &
        compress_pids+=" $!"
    done
    # check for lib directory
    if [ -d ${BUILD_DIR}/lib ]; then
        for f in ${BUILD_DIR}/lib/* ; do
-            ${GZIP} -n --best -f ${f} &
+            ${GZIP} -c --best ${f} > "${PAYLOAD_BASE}/${RUNNER}/$(basename ${f}).gz" &
            compress_pids+=" $!"
        done
    fi
@@ -117,7 +125,7 @@ wait_for_compress() {

 install() {
    echo "Installing libraries to bin dir ${BUILD_DIR}/bin/"
-    for lib in $(find ${BUILD_DIR} -name \*.${LIB_EXT}); do
+    for lib in $(find ${BUILD_DIR} -name \*.${LIB_EXT} | grep -v "${BUILD_DIR}/bin/" ); do
        rm -f "${BUILD_DIR}/bin/$(basename ${lib})"
        cp -af "${lib}" "${BUILD_DIR}/bin/"
    done
--- a/llm/generate/gen_darwin.sh
+++ b/llm/generate/gen_darwin.sh
@@ -39,7 +39,8 @@ case "${GOARCH}" in
        #
        init_vars
        CMAKE_DEFS="${COMMON_CPU_DEFS} -DGGML_ACCELERATE=off -DGGML_BLAS=off -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off ${CMAKE_DEFS}"
-        BUILD_DIR="../build/darwin/${ARCH}/cpu"
+        RUNNER=cpu
+        BUILD_DIR="../build/darwin/${GOARCH}/${RUNNER}"
        echo "Building LCD CPU"
        build
        sign ${BUILD_DIR}/bin/ollama_llama_server
@@ -51,7 +52,8 @@ case "${GOARCH}" in
        #
        init_vars
        CMAKE_DEFS="${COMMON_CPU_DEFS} -DGGML_ACCELERATE=off -DGGML_BLAS=off -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off ${CMAKE_DEFS}"
-        BUILD_DIR="../build/darwin/${ARCH}/cpu_avx"
+        RUNNER=cpu_avx
+        BUILD_DIR="../build/darwin/${GOARCH}/${RUNNER}"
        echo "Building AVX CPU"
        build
        sign ${BUILD_DIR}/bin/ollama_llama_server
@@ -63,7 +65,8 @@ case "${GOARCH}" in
        #
        init_vars
        CMAKE_DEFS="${COMMON_CPU_DEFS} -DGGML_ACCELERATE=on -DGGML_BLAS=off -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on ${CMAKE_DEFS}"
-        BUILD_DIR="../build/darwin/${ARCH}/cpu_avx2"
+        RUNNER=cpu_avx2
+        BUILD_DIR="../build/darwin/${GOARCH}/${RUNNER}"
        echo "Building AVX2 CPU"
        EXTRA_LIBS="${EXTRA_LIBS} -framework Accelerate -framework Foundation"
        build
@@ -84,7 +87,8 @@ case "${GOARCH}" in
    if [ -z "$OLLAMA_SKIP_METAL_GENERATE" ]; then
        init_vars
        CMAKE_DEFS="${COMMON_DARWIN_DEFS} -DCMAKE_SYSTEM_PROCESSOR=${ARCH} -DCMAKE_OSX_ARCHITECTURES=${ARCH} ${CMAKE_DEFS}"
-        BUILD_DIR="../build/darwin/${ARCH}/metal"
+        RUNNER="metal"
+        BUILD_DIR="../build/darwin/${GOARCH}/${RUNNER}"
        EXTRA_LIBS="${EXTRA_LIBS} -framework Accelerate -framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders"
        build
        sign ${BUILD_DIR}/bin/ollama_llama_server
--- a/llm/generate/gen_linux.sh
+++ b/llm/generate/gen_linux.sh
@@ -79,10 +79,12 @@ if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
        init_vars
        echo "OLLAMA_CUSTOM_CPU_DEFS=\"${OLLAMA_CUSTOM_CPU_DEFS}\""
        CMAKE_DEFS="${OLLAMA_CUSTOM_CPU_DEFS} -DBUILD_SHARED_LIBS=on -DCMAKE_POSITION_INDEPENDENT_CODE=on ${CMAKE_DEFS}"
-        BUILD_DIR="../build/linux/${ARCH}/cpu"
+        RUNNER="cpu"
+        BUILD_DIR="../build/linux/${GOARCH}/${RUNNER}"
        echo "Building custom CPU"
        build
        install
+        dist
        compress
    else
        # Darwin Rosetta x86 emulation does NOT support AVX, AVX2, AVX512
@@ -102,10 +104,12 @@ if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
            #
            init_vars
            CMAKE_DEFS="${COMMON_CPU_DEFS} -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off ${CMAKE_DEFS}"
-            BUILD_DIR="../build/linux/${ARCH}/cpu"
+            RUNNER=cpu
+            BUILD_DIR="../build/linux/${GOARCH}/${RUNNER}"
            echo "Building LCD CPU"
            build
            install
+            dist
            compress
        fi

@@ -120,10 +124,12 @@ if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
                #
                init_vars
                CMAKE_DEFS="${COMMON_CPU_DEFS} -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off ${CMAKE_DEFS}"
-                BUILD_DIR="../build/linux/${ARCH}/cpu_avx"
+                RUNNER=cpu_avx
+                BUILD_DIR="../build/linux/${GOARCH}/${RUNNER}"
                echo "Building AVX CPU"
                build
                install
+                dist
                compress
            fi

@@ -134,10 +140,12 @@ if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
                #
                init_vars
                CMAKE_DEFS="${COMMON_CPU_DEFS} -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on ${CMAKE_DEFS}"
-                BUILD_DIR="../build/linux/${ARCH}/cpu_avx2"
+                RUNNER=cpu_avx2
+                BUILD_DIR="../build/linux/${GOARCH}/${RUNNER}"
                echo "Building AVX2 CPU"
                build
                install
+                dist
                compress
            fi
        fi
@@ -187,11 +195,13 @@ if [ -z "${OLLAMA_SKIP_CUDA_GENERATE}" -a -d "${CUDA_LIB_DIR}" ]; then
    fi
    export CUDAFLAGS="-t8"
    CMAKE_DEFS="${COMMON_CMAKE_DEFS} ${CMAKE_DEFS} ${ARM64_DEFS} ${CMAKE_CUDA_DEFS} -DGGML_STATIC=off"
-    BUILD_DIR="../build/linux/${ARCH}/cuda${CUDA_VARIANT}"
+    RUNNER=cuda${CUDA_VARIANT}
+    BUILD_DIR="../build/linux/${GOARCH}/${RUNNER}"
    export LLAMA_SERVER_LDFLAGS="-L${CUDA_LIB_DIR} -lcudart -lcublas -lcublasLt -lcuda"
    CUDA_DIST_DIR="${CUDA_DIST_DIR:-${DIST_BASE}/lib/ollama}"
    build
    install
+    dist
    echo "Installing CUDA dependencies in ${CUDA_DIST_DIR}"
    mkdir -p "${CUDA_DIST_DIR}"
    for lib in ${CUDA_LIB_DIR}/libcudart.so* ${CUDA_LIB_DIR}/libcublas.so* ${CUDA_LIB_DIR}/libcublasLt.so* ; do
@@ -212,7 +222,8 @@ if [ -z "${OLLAMA_SKIP_ONEAPI_GENERATE}" -a -d "${ONEAPI_ROOT}" ]; then
    source ${ONEAPI_ROOT}/setvars.sh --force # set up environment variables for oneAPI
    CC=icx
    CMAKE_DEFS="${COMMON_CMAKE_DEFS} ${CMAKE_DEFS} -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL=ON -DGGML_SYCL_F16=OFF"
-    BUILD_DIR="../build/linux/${ARCH}/oneapi"
+    RUNNER=oneapi
+    BUILD_DIR="../build/linux/${GOARCH}/${RUNNER}"
    ONEAPI_DIST_DIR="${DIST_BASE}/lib/ollama"
    export LLAMA_SERVER_LDFLAGS="-fsycl -lOpenCL -lmkl_core -lmkl_sycl_blas -lmkl_intel_ilp64 -lmkl_tbb_thread -ltbb"
    DEBUG_FLAGS="" # icx compiles with -O0 if we pass -g, so we must remove it
@@ -231,6 +242,7 @@ if [ -z "${OLLAMA_SKIP_ONEAPI_GENERATE}" -a -d "${ONEAPI_ROOT}" ]; then
    cp "${ONEAPI_ROOT}/compiler/latest/lib/libsvml.so" "${ONEAPI_DIST_DIR}"
    cp "${ONEAPI_ROOT}/compiler/latest/lib/libur_loader.so.0" "${ONEAPI_DIST_DIR}"
    install
+    dist
    compress
 fi

@@ -259,7 +271,8 @@ if [ -z "${OLLAMA_SKIP_ROCM_GENERATE}" -a -d "${ROCM_PATH}" ]; then
        CMAKE_DEFS="${CMAKE_DEFS} ${OLLAMA_CUSTOM_ROCM_DEFS}"
        echo "Building custom ROCM GPU"
    fi
-    BUILD_DIR="../build/linux/${ARCH}/rocm${ROCM_VARIANT}"
+    RUNNER=rocm${ROCM_VARIANT}
+    BUILD_DIR="../build/linux/${GOARCH}/${RUNNER}"
    # ROCm dependencies are too large to fit into a unified bundle
    ROCM_DIST_DIR="${DIST_BASE}/../linux-${GOARCH}-rocm/lib/ollama"
    # TODO figure out how to disable runpath (rpath)
@@ -269,13 +282,17 @@ if [ -z "${OLLAMA_SKIP_ROCM_GENERATE}" -a -d "${ROCM_PATH}" ]; then

    # copy the ROCM dependencies
    mkdir -p "${ROCM_DIST_DIR}"
-    for dep in $(ldd "${BUILD_DIR}/bin/ollama_llama_server" | grep "=>" | cut -f2 -d= | cut -f2 -d' ' | grep -v "${ARCH}/rocm${ROCM_VARIANT}" | grep -e rocm -e amdgpu -e libtinfo ); do
+    for dep in $(ldd "${BUILD_DIR}/bin/ollama_llama_server" | grep "=>" | cut -f2 -d= | cut -f2 -d' ' | grep -v "${GOARCH}/rocm${ROCM_VARIANT}" | grep -e rocm -e amdgpu -e libtinfo -e libnuma -e libelf ); do
        cp -a "${dep}"* "${ROCM_DIST_DIR}"
+        if [ $(readlink -f "${dep}") != "${dep}" ] ; then
+            cp $(readlink -f "${dep}") "${ROCM_DIST_DIR}"
+        fi
    done
    install
+    dist
    compress
 fi

 cleanup
 wait_for_compress
-echo "go generate completed.  LLM runners: $(cd ${BUILD_DIR}/..; echo *)"
+echo "go generate completed.  LLM runners: $(cd ${PAYLOAD_BASE}; echo *)"
--- a/llm/generate/gen_windows.ps1
+++ b/llm/generate/gen_windows.ps1
@@ -83,29 +83,9 @@ function git_module_setup {
 }

 function apply_patches {
-    # Wire up our CMakefile
-    if (!(Select-String -Path "${script:llamacppDir}/CMakeLists.txt" -Pattern 'ollama')) {
-        Add-Content -Path "${script:llamacppDir}/CMakeLists.txt" -Value 'add_subdirectory(../ext_server ext_server) # ollama'
-    }
-
    # Apply temporary patches until fix is upstream
-    $patches = Get-ChildItem "../patches/*.diff"
-    foreach ($patch in $patches) {
-        # Extract file paths from the patch file
-        $filePaths = Get-Content $patch.FullName | Where-Object { $_ -match '^\+\+\+ ' } | ForEach-Object {
-            $parts = $_ -split ' '
-            ($parts[1] -split '/', 2)[1]
-        }
-
-        # Checkout each file
-        foreach ($file in $filePaths) {
-            git -C "${script:llamacppDir}" checkout $file
-        }
-    }
-
-    # Apply each patch
-    foreach ($patch in $patches) {
-        git -C "${script:llamacppDir}" apply $patch.FullName
+    foreach ($patch in $(Get-ChildItem "../patches/*.patch")) {
+        git -c 'user.name=nobody' -c 'user.email=<>' -C "${script:llamacppDir}" am $patch.FullName
    }
 }

--- a/llm/ggml.go
+++ b/llm/ggml.go
@@ -360,11 +360,13 @@ func (llm GGML) GraphSize(context, batch uint64) (partialOffload, fullOffload ui

 	switch llm.KV().Architecture() {
 	case "llama":
-		fullOffload = 4 * batch * (1 + 4*embedding + context*(1+heads))
+		fullOffload = max(
+			4*batch*(1+4*embedding+context*(1+heads)),
+			4*batch*(embedding+vocab),
+		)

 		partialOffload = 4 * batch * embedding
 		partialOffload += max(
-			// 4*batch*(4+6*embedding+context*(2*heads)+llm.KV().GQA()),
 			4*batch*(1+embedding+max(context, embedding))+embedding*embedding*9/16+4*context*(batch*heads+embeddingHeads*headsKV),
 			4*batch*(embedding+vocab)+embedding*vocab*105/128,
 		)
--- a/llm/llm_darwin_arm64.go
+++ b/llm/llm_darwin_arm64.go
@@ -1,11 +1,7 @@
 package llm

 import (
-	"embed"
 	"syscall"
 )

-//go:embed build/darwin/arm64/*/bin/*
-var libEmbed embed.FS
-
 var LlamaServerSysProcAttr = &syscall.SysProcAttr{}
--- a/llm/llm_darwin_amd64.go
+++ b/llm/llm_darwin_amd64.go
@@ -1,11 +0,0 @@
-package llm
-
-import (
-	"embed"
-	"syscall"
-)
-
-//go:embed build/darwin/x86_64/*/bin/*
-var libEmbed embed.FS
-
-var LlamaServerSysProcAttr = &syscall.SysProcAttr{}
--- a/llm/llm_linux.go
+++ b/llm/llm_linux.go
@@ -1,11 +1,7 @@
 package llm

 import (
-	"embed"
 	"syscall"
 )

-//go:embed build/linux/*/*/bin/*
-var libEmbed embed.FS
-
 var LlamaServerSysProcAttr = &syscall.SysProcAttr{}
--- a/llm/llm_windows.go
+++ b/llm/llm_windows.go
@@ -1,13 +1,9 @@
 package llm

 import (
-	"embed"
 	"syscall"
 )

-// unused on windows
-var libEmbed embed.FS
-
 const CREATE_DEFAULT_ERROR_MODE = 0x04000000

 var LlamaServerSysProcAttr = &syscall.SysProcAttr{
--- a/llm/memory.go
+++ b/llm/memory.go
@@ -7,6 +7,7 @@ import (
 	"strings"

 	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/envconfig"
 	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/gpu"
 )
@@ -94,6 +95,7 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
 	// Overflow that didn't fit into the GPU
 	var overflow uint64

+	overhead := envconfig.GpuOverhead()
 	availableList := make([]string, len(gpus))
 	for i, gpu := range gpus {
 		availableList[i] = format.HumanBytes2(gpu.FreeMemory)
@@ -164,8 +166,22 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
 			gzo = gpuZeroOverhead
 		}
 		// Only include GPUs that can fit the graph, gpu minimum, the layer buffer and at least more layer
-		if gpus[i].FreeMemory < gzo+max(graphPartialOffload, graphFullOffload)+gpus[i].MinimumMemory+2*layerSize {
-			slog.Debug("gpu has too little memory to allocate any layers", "gpu", gpus[i])
+		if (gpus[i].FreeMemory - overhead) < gzo+max(graphPartialOffload, graphFullOffload)+gpus[i].MinimumMemory+2*layerSize {
+			slog.Debug("gpu has too little memory to allocate any layers",
+				"id", gpus[i].ID,
+				"library", gpus[i].Library,
+				"variant", gpus[i].Variant,
+				"compute", gpus[i].Compute,
+				"driver", fmt.Sprintf("%d.%d", gpus[i].DriverMajor, gpus[i].DriverMinor),
+				"name", gpus[i].Name,
+				"total", format.HumanBytes2(gpus[i].TotalMemory),
+				"available", format.HumanBytes2(gpus[i].FreeMemory),
+				"minimum_memory", gpus[i].MinimumMemory,
+				"layer_size", format.HumanBytes2(layerSize),
+				"gpu_zer_overhead", format.HumanBytes2(gzo),
+				"partial_offload", format.HumanBytes2(graphPartialOffload),
+				"full_offload", format.HumanBytes2(graphFullOffload),
+			)
 			continue
 		}
 		gpusWithSpace = append(gpusWithSpace, gs{i, &gpus[i]})
@@ -196,7 +212,7 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
 		for j := len(gpusWithSpace); j > 0; j-- {
 			g := gpusWithSpace[i%j]
 			used := gpuAllocations[g.i] + max(graphPartialOffload, graphFullOffload)
-			if g.g.FreeMemory > used+layerSize {
+			if (g.g.FreeMemory - overhead) > used+layerSize {
 				gpuAllocations[g.i] += layerSize
 				layerCounts[g.i]++
 				layerCount++
@@ -219,7 +235,7 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
 		for j := len(gpusWithSpace); j > 0; j-- {
 			g := gpusWithSpace[layerCount%j]
 			used := gpuAllocations[g.i] + max(graphPartialOffload, graphFullOffload)
-			if g.g.FreeMemory > used+memoryLayerOutput {
+			if (g.g.FreeMemory - overhead) > used+memoryLayerOutput {
 				gpuAllocations[g.i] += memoryLayerOutput
 				layerCounts[g.i]++
 				layerCount++
@@ -306,6 +322,7 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
 }

 func (m MemoryEstimate) log() {
+	overhead := envconfig.GpuOverhead()
 	slog.Info(
 		"offload to "+m.inferenceLibrary,
 		slog.Group(
@@ -323,6 +340,7 @@ func (m MemoryEstimate) log() {
 			"memory",
 			// memory available by GPU for offloading
 			"available", m.availableList,
+			"gpu_overhead", format.HumanBytes2(overhead),
 			slog.Group(
 				"required",
 				// memory required for full offloading
--- a/llm/patches/0000-cmakelist.patch
+++ b/llm/patches/0000-cmakelist.patch
@@ -0,0 +1,22 @@
+From 8b8d83ffca775840acc5dc700f3b3703e9f5cfe4 Mon Sep 17 00:00:00 2001
+From: Michael Yang <mxyng@pm.me>
+Date: Fri, 23 Aug 2024 11:27:48 -0700
+Subject: [PATCH] patch cmakelist
+
+---
+ CMakeLists.txt | 2 ++
+ 1 file changed, 2 insertions(+)
+
+diff --git a/CMakeLists.txt b/CMakeLists.txt
+index a3132063..6a2a9912 100644
+--- a/CMakeLists.txt
+++ b/CMakeLists.txt
+@@ -199,3 +199,5 @@ if (LLAMA_BUILD_EXAMPLES)
+     add_subdirectory(examples)
+     add_subdirectory(pocs)
+ endif()
+
+add_subdirectory(../ext_server ext_server) # ollama
+-- 
+2.45.2
+
--- a/llm/patches/0001-load-progress.patch
+++ b/llm/patches/0001-load-progress.patch
@@ -1,8 +1,18 @@
+From 2cfaa0a04faa9c87ba8f1ac8527eb953e69c6cde Mon Sep 17 00:00:00 2001
+From: Michael Yang <mxyng@pm.me>
+Date: Mon, 16 Sep 2024 15:53:10 -0700
+Subject: [PATCH] 01-load-progress.diff
+
+---
+ common/common.cpp | 2 ++
+ common/common.h   | 7 +++++++
+ 2 files changed, 9 insertions(+)
+
 diff --git a/common/common.cpp b/common/common.cpp
-index 2c05a4d4..927f0e3d 100644
+index 9fa18472..48ff41e9 100644
 --- a/common/common.cpp
 +++ b/common/common.cpp
-@@ -2093,6 +2093,8 @@ struct llama_model_params llama_model_params_from_gpt_params(const gpt_params &
+@@ -2573,6 +2573,8 @@ struct llama_model_params llama_model_params_from_gpt_params(const gpt_params &
     mparams.use_mmap        = params.use_mmap;
     mparams.use_mlock       = params.use_mlock;
     mparams.check_tensors   = params.check_tensors;
@@ -12,10 +22,10 @@ index 2c05a4d4..927f0e3d 100644
         mparams.kv_overrides = NULL;
     } else {
 diff --git a/common/common.h b/common/common.h
-index 65c0ef81..ebca2c77 100644
+index cb5e7f6d..d8f043f7 100644
 --- a/common/common.h
 +++ b/common/common.h
-@@ -184,6 +184,13 @@ struct gpt_params {
+@@ -204,6 +204,13 @@ struct gpt_params {
     std::string mmproj = "";        // path to multimodal projector
     std::vector<std::string> image; // path to image file(s)
 
@@ -29,3 +39,6 @@ index 65c0ef81..ebca2c77 100644
     // embedding
     bool embedding         = false; // get only sentence embedding
     int32_t embd_normalize = 2;     // normalisation for embendings (-1=none, 0=max absolute int16, 1=taxicab, 2=euclidean, >2=p-norm)
+-- 
+2.46.0
+
--- a/llm/patches/0002-clip-log.patch
+++ b/llm/patches/0002-clip-log.patch
@@ -1,5 +1,14 @@
+From ba4bba80a744f76ac67b8234451c259a3c5da83b Mon Sep 17 00:00:00 2001
+From: Michael Yang <mxyng@pm.me>
+Date: Mon, 16 Sep 2024 15:53:11 -0700
+Subject: [PATCH] 02-clip-log.diff
+
+---
+ examples/llava/clip.cpp | 1 +
+ 1 file changed, 1 insertion(+)
+
 diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp
-index e431c7f7..f077e688 100644
+index 9b890571..cb51793d 100644
 --- a/examples/llava/clip.cpp
 +++ b/examples/llava/clip.cpp
@@ -3,6 +3,7 @@
@@ -10,3 +19,6 @@ index e431c7f7..f077e688 100644
 #include "log.h"
 #include "ggml.h"
 #include "ggml-alloc.h"
+-- 
+2.46.0
+
--- a/llm/patches/0003-load_exception.patch
+++ b/llm/patches/0003-load_exception.patch
@@ -1,8 +1,17 @@
+From e43bfd3f607a6dfcaba2d490d35f412a52e55e30 Mon Sep 17 00:00:00 2001
+From: Michael Yang <mxyng@pm.me>
+Date: Mon, 16 Sep 2024 15:53:12 -0700
+Subject: [PATCH] 03-load_exception.diff
+
+---
+ src/llama.cpp | 25 ++++++++++++++++---------
+ 1 file changed, 16 insertions(+), 9 deletions(-)
+
 diff --git a/src/llama.cpp b/src/llama.cpp
-index 73f52435..58a00fb1 100644
+index 88355971..926bb71a 100644
 --- a/src/llama.cpp
 +++ b/src/llama.cpp
-@@ -7241,7 +7241,7 @@ static int llama_model_load(const std::string & fname, llama_model & model, llam
+@@ -8635,7 +8635,7 @@ static int llama_model_load(const std::string & fname, llama_model & model, llam
         }
     } catch (const std::exception & err) {
         LLAMA_LOG_ERROR("%s: error loading model: %s\n", __func__, err.what());
@@ -11,7 +20,7 @@ index 73f52435..58a00fb1 100644
     }
 
     return 0;
-@@ -17564,16 +17564,23 @@ struct llama_model * llama_load_model_from_file(
+@@ -18022,16 +18022,23 @@ struct llama_model * llama_load_model_from_file(
         }
         model->rpc_servers.push_back(servers);
     }
@@ -43,3 +52,6 @@ index 73f52435..58a00fb1 100644
     }
 
     return model;
+-- 
+2.46.0
+
--- a/llm/patches/0004-metal.patch
+++ b/llm/patches/0004-metal.patch
@@ -1,8 +1,17 @@
+From 29411d9a9d2b6a0af6425ffe88498f17f71f7d5d Mon Sep 17 00:00:00 2001
+From: Michael Yang <mxyng@pm.me>
+Date: Mon, 16 Sep 2024 15:53:12 -0700
+Subject: [PATCH] 04-metal.diff
+
+---
+ ggml/src/ggml-metal.m | 30 +++++++++++++-----------------
+ 1 file changed, 13 insertions(+), 17 deletions(-)
+
 diff --git a/ggml/src/ggml-metal.m b/ggml/src/ggml-metal.m
-index 0207b787..b5e9884b 100644
+index 91b5e61b..9cfa72ac 100644
 --- a/ggml/src/ggml-metal.m
 +++ b/ggml/src/ggml-metal.m
-@@ -1396,27 +1396,23 @@ static enum ggml_status ggml_metal_graph_compute(
+@@ -1734,27 +1734,23 @@ static enum ggml_status ggml_metal_graph_compute(
                         // to the matrix-vector kernel
                         int ne11_mm_min = 1;
 
@@ -43,3 +52,6 @@ index 0207b787..b5e9884b 100644
 
                         // for now the matrix-matrix multiplication kernel only works on A14+/M1+ SoCs
                         // AMD GPU and older A-chips will reuse matrix-vector multiplication kernel
+-- 
+2.46.0
+
--- a/llm/patches/0005-default-pretokenizer.patch
+++ b/llm/patches/0005-default-pretokenizer.patch
@@ -1,5 +1,14 @@
+From b298ac8614d1e38da28f760eb1d2ae8af0fbbe62 Mon Sep 17 00:00:00 2001
+From: Michael Yang <mxyng@pm.me>
+Date: Mon, 16 Sep 2024 15:53:13 -0700
+Subject: [PATCH] 05-default-pretokenizer.diff
+
+---
+ src/llama.cpp | 14 +++-----------
+ 1 file changed, 3 insertions(+), 11 deletions(-)
+
 diff --git a/src/llama.cpp b/src/llama.cpp
-index 88355971..dd7d41ed 100644
+index 926bb71a..d1e959fc 100644
 --- a/src/llama.cpp
 +++ b/src/llama.cpp
@@ -6083,16 +6083,7 @@ static void llm_load_vocab(
@@ -30,3 +39,6 @@ index 88355971..dd7d41ed 100644
             }
         } else if (vocab.type == LLAMA_VOCAB_TYPE_SPM) {
             vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
+-- 
+2.46.0
+
--- a/llm/patches/0006-embeddings.patch
+++ b/llm/patches/0006-embeddings.patch
@@ -1,8 +1,17 @@
+From c9a6ca9fc039233dee746a4da9705762cd9e515d Mon Sep 17 00:00:00 2001
+From: Michael Yang <mxyng@pm.me>
+Date: Mon, 16 Sep 2024 15:53:14 -0700
+Subject: [PATCH] 06-embeddings.diff
+
+---
+ src/llama.cpp | 17 ++++++++++-------
+ 1 file changed, 10 insertions(+), 7 deletions(-)
+
 diff --git a/src/llama.cpp b/src/llama.cpp
-index 88355971..d7db689b 100644
+index d1e959fc..f79bd782 100644
 --- a/src/llama.cpp
 +++ b/src/llama.cpp
-@@ -15906,7 +15906,7 @@ static size_t llama_output_reserve(llama_context & lctx, size_t n_outputs) {
+@@ -15898,7 +15898,7 @@ static size_t llama_output_reserve(llama_context & lctx, size_t n_outputs) {
     const auto n_embd  = hparams.n_embd;
 
     // TODO: use a per-batch flag for logits presence instead
@@ -11,7 +20,7 @@ index 88355971..d7db689b 100644
     const bool has_embd   =  cparams.embeddings && (cparams.pooling_type == LLAMA_POOLING_TYPE_NONE);
 
     const size_t logits_size = has_logits ? n_vocab*n_outputs_max : 0;
-@@ -16175,20 +16175,23 @@ static int llama_decode_internal(
+@@ -16167,20 +16167,23 @@ static int llama_decode_internal(
             // no output
             res  = nullptr;
             embd = nullptr;
@@ -41,3 +50,6 @@ index 88355971..d7db689b 100644
         // LLAMA_LOG_INFO("graph build time: %.3f ms (%d nodes, %d leafs)\n", (ggml_time_us() - t_start_us)/1000.0, gf->n_nodes, gf->n_leafs);
 
         ggml_backend_sched_alloc_graph(lctx.sched, gf);
+-- 
+2.46.0
+
--- a/llm/patches/0007-clip-unicode.patch
+++ b/llm/patches/0007-clip-unicode.patch
@@ -1,8 +1,17 @@
+From ae2b188a679c83ce105aa1e823499441dfab3c57 Mon Sep 17 00:00:00 2001
+From: Michael Yang <mxyng@pm.me>
+Date: Mon, 16 Sep 2024 15:53:15 -0700
+Subject: [PATCH] 07-clip-unicode.diff
+
+---
+ examples/llava/clip.cpp | 23 +++++++++++++++++++++++
+ 1 file changed, 23 insertions(+)
+
 diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp
-index 95fbe3d0..5a02a6ec 100644
+index cb51793d..8716472b 100644
 --- a/examples/llava/clip.cpp
 +++ b/examples/llava/clip.cpp
-@@ -32,6 +33,14 @@
+@@ -41,6 +41,14 @@
 #include <cinttypes>
 #include <limits>
 
@@ -17,7 +26,7 @@ index 95fbe3d0..5a02a6ec 100644
 //#define CLIP_DEBUG_FUNCTIONS
 
 // RGB uint8 image
-@@ -1055,7 +1064,22 @@ struct clip_ctx * clip_model_load(const char * fname, const int verbosity = 1) {
+@@ -1223,7 +1231,22 @@ struct clip_ctx * clip_model_load(const char * fname, const int verbosity = 1) {
             return nullptr;
         }
 
@@ -40,3 +49,6 @@ index 95fbe3d0..5a02a6ec 100644
         if (!fin) {
             LOG_TEE("cannot open model file for loading tensors\n");
             clip_free(new_clip);
+-- 
+2.46.0
+
--- a/llm/payload.go
+++ b/llm/payload.go
@@ -1,233 +0,0 @@
-package llm
-
-import (
-	"compress/gzip"
-	"errors"
-	"fmt"
-	"io"
-	"io/fs"
-	"log/slog"
-	"os"
-	"path/filepath"
-	"runtime"
-	"slices"
-	"strings"
-
-	"golang.org/x/sync/errgroup"
-
-	"github.com/ollama/ollama/gpu"
-)
-
-var errPayloadMissing = errors.New("expected payloads not included in this build of ollama")
-
-func Init() error {
-	payloadsDir, err := gpu.PayloadsDir()
-	if err != nil {
-		return err
-	}
-
-	if runtime.GOOS != "windows" {
-		slog.Info("extracting embedded files", "dir", payloadsDir)
-		binGlob := "build/*/*/*/bin/*"
-
-		// extract server libraries
-		err = extractFiles(payloadsDir, binGlob)
-		if err != nil {
-			return fmt.Errorf("extract binaries: %v", err)
-		}
-	}
-
-	var variants []string
-	for v := range getAvailableServers() {
-		variants = append(variants, v)
-	}
-	slog.Info(fmt.Sprintf("Dynamic LLM libraries %v", variants))
-	slog.Debug("Override detection logic by setting OLLAMA_LLM_LIBRARY")
-
-	return nil
-}
-
-// binary names may contain an optional variant separated by '_'
-// For example, "ollama_rocm_v6" and "ollama_rocm_v5" or "ollama_cpu" and "ollama_cpu_avx2"
-// Any library without a variant is the lowest common denominator
-func getAvailableServers() map[string]string {
-	payloadsDir, err := gpu.PayloadsDir()
-	if err != nil {
-		slog.Error("payload lookup error", "error", err)
-		return nil
-	}
-
-	// glob payloadsDir for files that start with ollama_
-	pattern := filepath.Join(payloadsDir, "*", "ollama_*")
-
-	files, err := filepath.Glob(pattern)
-	if err != nil {
-		slog.Debug("could not glob", "pattern", pattern, "error", err)
-		return nil
-	}
-
-	servers := make(map[string]string)
-	for _, file := range files {
-		slog.Debug("availableServers : found", "file", file)
-		servers[filepath.Base(filepath.Dir(file))] = filepath.Dir(file)
-	}
-
-	return servers
-}
-
-// serversForGpu returns a list of compatible servers give the provided GPU
-// info, ordered by performance. assumes Init() has been called
-// TODO - switch to metadata based mapping
-func serversForGpu(info gpu.GpuInfo) []string {
-	// glob workDir for files that start with ollama_
-	availableServers := getAvailableServers()
-	requested := info.Library
-	if info.Variant != gpu.CPUCapabilityNone.String() {
-		requested += "_" + info.Variant
-	}
-
-	servers := []string{}
-
-	// exact match first
-	for a := range availableServers {
-		if a == requested {
-			servers = []string{a}
-
-			if a == "metal" {
-				return servers
-			}
-
-			break
-		}
-	}
-
-	alt := []string{}
-
-	// Then for GPUs load alternates and sort the list for consistent load ordering
-	if info.Library != "cpu" {
-		for a := range availableServers {
-			if info.Library == strings.Split(a, "_")[0] && a != requested {
-				alt = append(alt, a)
-			}
-		}
-
-		slices.Sort(alt)
-		servers = append(servers, alt...)
-	}
-
-	if !(runtime.GOOS == "darwin" && runtime.GOARCH == "arm64") {
-		// Load up the best CPU variant if not primary requested
-		if info.Library != "cpu" {
-			variant := gpu.GetCPUCapability()
-			// If no variant, then we fall back to default
-			// If we have a variant, try that if we find an exact match
-			// Attempting to run the wrong CPU instructions will panic the
-			// process
-			if variant != gpu.CPUCapabilityNone {
-				for cmp := range availableServers {
-					if cmp == "cpu_"+variant.String() {
-						servers = append(servers, cmp)
-						break
-					}
-				}
-			} else {
-				servers = append(servers, "cpu")
-			}
-		}
-
-		if len(servers) == 0 {
-			servers = []string{"cpu"}
-		}
-	}
-
-	return servers
-}
-
-// Return the optimal server for this CPU architecture
-func serverForCpu() string {
-	if runtime.GOOS == "darwin" && runtime.GOARCH == "arm64" {
-		return "metal"
-	}
-	variant := gpu.GetCPUCapability()
-	availableServers := getAvailableServers()
-	if variant != gpu.CPUCapabilityNone {
-		for cmp := range availableServers {
-			if cmp == "cpu_"+variant.String() {
-				return cmp
-			}
-		}
-	}
-	return "cpu"
-}
-
-// extract extracts the embedded files to the target directory
-func extractFiles(targetDir string, glob string) error {
-	files, err := fs.Glob(libEmbed, glob)
-	if err != nil || len(files) == 0 {
-		return errPayloadMissing
-	}
-
-	if err := os.MkdirAll(targetDir, 0o755); err != nil {
-		return fmt.Errorf("extractFiles could not mkdir %s: %v", targetDir, err)
-	}
-
-	g := new(errgroup.Group)
-
-	// build/$OS/$GOARCH/$VARIANT/{bin,lib}/$FILE
-	for _, file := range files {
-		filename := file
-
-		variant := filepath.Base(filepath.Dir(filepath.Dir(filename)))
-
-		slog.Debug("extracting", "variant", variant, "file", filename)
-
-		g.Go(func() error {
-			srcf, err := libEmbed.Open(filename)
-			if err != nil {
-				return err
-			}
-			defer srcf.Close()
-
-			src := io.Reader(srcf)
-			if strings.HasSuffix(filename, ".gz") {
-				src, err = gzip.NewReader(src)
-				if err != nil {
-					return fmt.Errorf("decompress payload %s: %v", filename, err)
-				}
-				filename = strings.TrimSuffix(filename, ".gz")
-			}
-
-			variantDir := filepath.Join(targetDir, variant)
-			if err := os.MkdirAll(variantDir, 0o755); err != nil {
-				return fmt.Errorf("extractFiles could not mkdir %s: %v", variantDir, err)
-			}
-
-			base := filepath.Base(filename)
-			destFilename := filepath.Join(variantDir, base)
-
-			_, err = os.Stat(destFilename)
-			switch {
-			case errors.Is(err, os.ErrNotExist):
-				destFile, err := os.OpenFile(destFilename, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, 0o755)
-				if err != nil {
-					return fmt.Errorf("write payload %s: %v", filename, err)
-				}
-				defer destFile.Close()
-				if _, err := io.Copy(destFile, src); err != nil {
-					return fmt.Errorf("copy payload %s: %v", filename, err)
-				}
-			case err != nil:
-				return fmt.Errorf("stat payload %s: %v", filename, err)
-			}
-			return nil
-		})
-	}
-
-	err = g.Wait()
-	if err != nil {
-		// If we fail to extract, the payload dir is unusable, so cleanup whatever we extracted
-		gpu.Cleanup()
-		return err
-	}
-	return nil
-}
--- a/llm/server.go
+++ b/llm/server.go
@@ -24,9 +24,11 @@ import (
 	"golang.org/x/sync/semaphore"

 	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/build"
 	"github.com/ollama/ollama/envconfig"
 	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/gpu"
+	"github.com/ollama/ollama/runners"
 )

 type LlamaServer interface {
@@ -106,7 +108,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		gpus = gpu.GetCPUInfo()
 	}
 	if len(gpus) == 1 && gpus[0].Library == "cpu" {
-		cpuRunner = serverForCpu()
+		cpuRunner = runners.ServerForCpu()
 		estimate = EstimateGPULayers(gpus, ggml, projectors, opts)
 	} else {
 		estimate = EstimateGPULayers(gpus, ggml, projectors, opts)
@@ -118,7 +120,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 			opts.NumGPU = 0
 		case gpus[0].Library != "metal" && estimate.Layers == 0:
 			// Don't bother loading into the GPU if no layers can fit
-			cpuRunner = serverForCpu()
+			cpuRunner = runners.ServerForCpu()
 			gpus = gpu.GetCPUInfo()
 		case opts.NumGPU < 0 && estimate.Layers > 0 && gpus[0].Library != "cpu":
 			opts.NumGPU = estimate.Layers
@@ -145,25 +147,20 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		return nil, errors.New("ollama supports only one lora adapter, but multiple were provided")
 	}

-	availableServers := getAvailableServers()
+	rDir, err := runners.Refresh(build.EmbedFS)
+	if err != nil {
+		return nil, err
+	}
+
+	availableServers := runners.GetAvailableServers(rDir)
 	if len(availableServers) == 0 {
-		if runtime.GOOS != "windows" {
-			slog.Warn("llama server binary disappeared, reinitializing payloads")
-			err = Init()
-			if err != nil {
-				slog.Warn("failed to reinitialize payloads", "error", err)
-				return nil, err
-			}
-			availableServers = getAvailableServers()
-		} else {
-			return nil, finalErr
-		}
+		return nil, finalErr
 	}
 	var servers []string
 	if cpuRunner != "" {
 		servers = []string{cpuRunner}
 	} else {
-		servers = serversForGpu(gpus[0]) // All GPUs in the list are matching Library and Variant
+		servers = runners.ServersForGpu(gpus[0]) // All GPUs in the list are matching Library and Variant
 	}
 	demandLib := envconfig.LLMLibrary()
 	if demandLib != "" {
@@ -274,7 +271,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		params = append(params, "--tensor-split", estimate.TensorSplit)
 	}

-	for i := range len(servers) {
+	for i := range servers {
 		dir := availableServers[servers[i]]
 		if dir == "" {
 			// Shouldn't happen
@@ -330,7 +327,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		_, err := os.Stat(server)
 		if errors.Is(err, os.ErrNotExist) {
 			slog.Warn("llama server disappeared, reinitializing payloads", "path", server, "error", err)
-			err = Init()
+			_, err = runners.Refresh(build.EmbedFS)
 			if err != nil {
 				slog.Warn("failed to reinitialize payloads", "error", err)
 				return nil, err
@@ -584,8 +581,7 @@ func (s *llmServer) Ping(ctx context.Context) error {

 func (s *llmServer) WaitUntilRunning(ctx context.Context) error {
 	start := time.Now()
-	stallDuration := 5 * time.Minute            // If no progress happens
-	finalLoadDuration := 5 * time.Minute        // After we hit 100%, give the runner more time to come online
+	stallDuration := envconfig.LoadTimeout()    // If no progress happens
 	stallTimer := time.Now().Add(stallDuration) // give up if we stall

 	slog.Info("waiting for llama runner to start responding")
@@ -637,7 +633,7 @@ func (s *llmServer) WaitUntilRunning(ctx context.Context) error {
 				stallTimer = time.Now().Add(stallDuration)
 			} else if !fullyLoaded && int(s.loadProgress*100.0) >= 100 {
 				slog.Debug("model load completed, waiting for server to become available", "status", status.ToString())
-				stallTimer = time.Now().Add(finalLoadDuration)
+				stallTimer = time.Now().Add(stallDuration)
 				fullyLoaded = true
 			}
 			time.Sleep(time.Millisecond * 250)
--- a/openai/openai.go
+++ b/openai/openai.go
@@ -79,7 +79,7 @@ type ChatCompletionRequest struct {
 	Stop             any             `json:"stop"`
 	Temperature      *float64        `json:"temperature"`
 	FrequencyPenalty *float64        `json:"frequency_penalty"`
-	PresencePenalty  *float64        `json:"presence_penalty_penalty"`
+	PresencePenalty  *float64        `json:"presence_penalty"`
 	TopP             *float64        `json:"top_p"`
 	ResponseFormat   *ResponseFormat `json:"response_format"`
 	Tools            []api.Tool      `json:"tools"`
@@ -452,7 +452,7 @@ func fromChatRequest(r ChatCompletionRequest) (*api.ChatRequest, error) {
 	}

 	if r.Temperature != nil {
-		options["temperature"] = *r.Temperature * 2.0
+		options["temperature"] = *r.Temperature
 	} else {
 		options["temperature"] = 1.0
 	}
@@ -462,11 +462,11 @@ func fromChatRequest(r ChatCompletionRequest) (*api.ChatRequest, error) {
 	}

 	if r.FrequencyPenalty != nil {
-		options["frequency_penalty"] = *r.FrequencyPenalty * 2.0
+		options["frequency_penalty"] = *r.FrequencyPenalty
 	}

 	if r.PresencePenalty != nil {
-		options["presence_penalty"] = *r.PresencePenalty * 2.0
+		options["presence_penalty"] = *r.PresencePenalty
 	}

 	if r.TopP != nil {
@@ -513,7 +513,7 @@ func fromCompleteRequest(r CompletionRequest) (api.GenerateRequest, error) {
 	}

 	if r.Temperature != nil {
-		options["temperature"] = *r.Temperature * 2.0
+		options["temperature"] = *r.Temperature
 	} else {
 		options["temperature"] = 1.0
 	}
@@ -522,9 +522,9 @@ func fromCompleteRequest(r CompletionRequest) (api.GenerateRequest, error) {
 		options["seed"] = *r.Seed
 	}

-	options["frequency_penalty"] = r.FrequencyPenalty * 2.0
+	options["frequency_penalty"] = r.FrequencyPenalty

-	options["presence_penalty"] = r.PresencePenalty * 2.0
+	options["presence_penalty"] = r.PresencePenalty

 	if r.TopP != 0.0 {
 		options["top_p"] = r.TopP
--- a/openai/openai_test.go
+++ b/openai/openai_test.go
@@ -22,7 +22,10 @@ const (
 	image  = `iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=`
 )

-var False = false
+var (
+	False = false
+	True  = true
+)

 func captureRequestMiddleware(capturedRequest any) gin.HandlerFunc {
 	return func(c *gin.Context) {
@@ -70,6 +73,44 @@ func TestChatMiddleware(t *testing.T) {
 				Stream: &False,
 			},
 		},
+		{
+			name: "chat handler with options",
+			body: `{
+				"model": "test-model",
+				"messages": [
+					{"role": "user", "content": "Hello"}
+				],
+				"stream":            true,
+				"max_tokens":        999,
+				"seed":              123,
+				"stop":              ["\n", "stop"],
+				"temperature":       3.0,
+				"frequency_penalty": 4.0,
+				"presence_penalty":  5.0,
+				"top_p":             6.0,
+				"response_format":   {"type": "json_object"}
+			}`,
+			req: api.ChatRequest{
+				Model: "test-model",
+				Messages: []api.Message{
+					{
+						Role:    "user",
+						Content: "Hello",
+					},
+				},
+				Options: map[string]any{
+					"num_predict":       999.0, // float because JSON doesn't distinguish between float and int
+					"seed":              123.0,
+					"stop":              []any{"\n", "stop"},
+					"temperature":       3.0,
+					"frequency_penalty": 4.0,
+					"presence_penalty":  5.0,
+					"top_p":             6.0,
+				},
+				Format: "json",
+				Stream: &True,
+			},
+		},
 		{
 			name: "chat handler with image content",
 			body: `{
@@ -186,6 +227,8 @@ func TestChatMiddleware(t *testing.T) {
 			req, _ := http.NewRequest(http.MethodPost, "/api/chat", strings.NewReader(tc.body))
 			req.Header.Set("Content-Type", "application/json")

+			defer func() { capturedRequest = nil }()
+
 			resp := httptest.NewRecorder()
 			router.ServeHTTP(resp, req)

@@ -202,7 +245,6 @@ func TestChatMiddleware(t *testing.T) {
 			if !reflect.DeepEqual(tc.err, errResp) {
 				t.Fatal("errors did not match")
 			}
-			capturedRequest = nil
 		})
 	}
 }
@@ -233,7 +275,7 @@ func TestCompletionsMiddleware(t *testing.T) {
 				Options: map[string]any{
 					"frequency_penalty": 0.0,
 					"presence_penalty":  0.0,
-					"temperature":       1.6,
+					"temperature":       0.8,
 					"top_p":             1.0,
 					"stop":              []any{"\n", "stop"},
 				},
--- a/readline/errors.go
+++ b/readline/errors.go
@@ -4,7 +4,10 @@ import (
 	"errors"
 )

-var ErrInterrupt = errors.New("Interrupt")
+var (
+	ErrInterrupt       = errors.New("Interrupt")
+	ErrNewLineDetected = errors.New("new line detected")
+)

 type InterruptError struct {
 	Line []rune
--- a/readline/readline.go
+++ b/readline/readline.go
@@ -225,6 +225,9 @@ func (i *Instance) Readline() (string, error) {
 			buf.MoveToEnd()
 			fmt.Println()

+			if r == CharCtrlJ {
+				return output, ErrNewLineDetected
+			}
 			return output, nil
 		default:
 			if metaDel {
--- a/runners/common.go
+++ b/runners/common.go
@@ -0,0 +1,384 @@
+package runners
+
+import (
+	"compress/gzip"
+	"errors"
+	"fmt"
+	"io"
+	"io/fs"
+	"log/slog"
+	"os"
+	"path/filepath"
+	"runtime"
+	"slices"
+	"strconv"
+	"strings"
+	"sync"
+	"syscall"
+
+	"golang.org/x/sync/errgroup"
+
+	"github.com/ollama/ollama/envconfig"
+	"github.com/ollama/ollama/gpu"
+)
+
+const (
+	binGlob = "*/*/*/*"
+)
+
+var (
+	lock       sync.Mutex
+	runnersDir = ""
+)
+
+// Return the location where runners are stored
+// If runners are payloads, this will either extract them
+// or refresh them if any have disappeared due to tmp cleaners
+func Refresh(payloadFS fs.FS) (string, error) {
+	lock.Lock()
+	defer lock.Unlock()
+	var err error
+
+	// Wire up extra logging on our first load
+	if runnersDir == "" {
+		defer func() {
+			var runners []string
+			for v := range GetAvailableServers(runnersDir) {
+				runners = append(runners, v)
+			}
+			slog.Info("Dynamic LLM libraries", "runners", runners)
+			slog.Debug("Override detection logic by setting OLLAMA_LLM_LIBRARY")
+		}()
+	}
+
+	if hasPayloads(payloadFS) {
+		if runnersDir == "" {
+			runnersDir, err = extractRunners(payloadFS)
+		} else {
+			err = refreshRunners(payloadFS, runnersDir)
+		}
+	} else if runnersDir == "" {
+		runnersDir, err = locateRunners()
+	}
+
+	return runnersDir, err
+}
+
+func Cleanup(payloadFS fs.FS) {
+	lock.Lock()
+	defer lock.Unlock()
+	if hasPayloads(payloadFS) && runnersDir != "" {
+		// We want to fully clean up the tmpdir parent of the payloads dir
+		tmpDir := filepath.Clean(filepath.Join(runnersDir, ".."))
+		slog.Debug("cleaning up", "dir", tmpDir)
+		err := os.RemoveAll(tmpDir)
+		if err != nil {
+			slog.Warn("failed to clean up", "dir", tmpDir, "err", err)
+		}
+	}
+}
+
+func locateRunners() (string, error) {
+	exe, err := os.Executable()
+	if err != nil {
+		return "", err
+	}
+
+	cwd, err := os.Getwd()
+	if err != nil {
+		return "", err
+	}
+
+	var paths []string
+	for _, root := range []string{filepath.Dir(exe), filepath.Join(filepath.Dir(exe), envconfig.LibRelativeToExe()), cwd} {
+		paths = append(paths,
+			root,
+			filepath.Join(root, runtime.GOOS+"-"+runtime.GOARCH),
+			filepath.Join(root, "dist", runtime.GOOS+"-"+runtime.GOARCH),
+		)
+	}
+
+	// Try a few variations to improve developer experience when building from source in the local tree
+	for _, path := range paths {
+		candidate := filepath.Join(path, "lib", "ollama", "runners")
+		if _, err := os.Stat(candidate); err == nil {
+			return candidate, nil
+		}
+	}
+	return "", fmt.Errorf("unable to locate runners in any search path %v", paths)
+}
+
+// Return true if we're carying nested payloads for the runners
+func hasPayloads(payloadFS fs.FS) bool {
+	files, err := fs.Glob(payloadFS, binGlob)
+	if err != nil || len(files) == 0 || (len(files) == 1 && strings.Contains(files[0], "placeholder")) {
+		return false
+	}
+	return true
+}
+
+func extractRunners(payloadFS fs.FS) (string, error) {
+	cleanupTmpDirs()
+	tmpDir, err := os.MkdirTemp(envconfig.TmpDir(), "ollama")
+	if err != nil {
+		return "", fmt.Errorf("failed to generate tmp dir: %w", err)
+	}
+	// Track our pid so we can clean up orphaned tmpdirs
+	n := filepath.Join(tmpDir, "ollama.pid")
+	if err := os.WriteFile(n, []byte(strconv.Itoa(os.Getpid())), 0o644); err != nil {
+		slog.Warn("failed to write pid file", "file", n, "error", err)
+	}
+	// We create a distinct subdirectory for payloads within the tmpdir
+	// This will typically look like /tmp/ollama3208993108/runners on linux
+	rDir := filepath.Join(tmpDir, "runners")
+
+	slog.Info("extracting embedded files", "dir", rDir)
+	return rDir, refreshRunners(payloadFS, rDir)
+}
+
+func refreshRunners(payloadFS fs.FS, rDir string) error {
+	// extract or refresh server libraries
+	err := extractFiles(payloadFS, rDir, binGlob)
+	if err != nil {
+		return fmt.Errorf("extract binaries: %v", err)
+	}
+	return nil
+}
+
+// extract extracts the embedded files to the target directory
+func extractFiles(payloadFS fs.FS, targetDir string, glob string) error {
+	files, err := fs.Glob(payloadFS, glob)
+	if err != nil || len(files) == 0 {
+		// Should not happen
+		return fmt.Errorf("extractFiles called without payload present")
+	}
+
+	if err := os.MkdirAll(targetDir, 0o755); err != nil {
+		return fmt.Errorf("extractFiles could not mkdir %s: %v", targetDir, err)
+	}
+
+	g := new(errgroup.Group)
+
+	// $OS/$GOARCH/$RUNNER/$FILE
+	for _, file := range files {
+		filename := file
+
+		runner := filepath.Base(filepath.Dir(filename))
+
+		slog.Debug("extracting", "runner", runner, "payload", filename)
+
+		g.Go(func() error {
+			srcf, err := payloadFS.Open(filename)
+			if err != nil {
+				return err
+			}
+			defer srcf.Close()
+
+			src := io.Reader(srcf)
+			if strings.HasSuffix(filename, ".gz") {
+				src, err = gzip.NewReader(src)
+				if err != nil {
+					return fmt.Errorf("decompress payload %s: %v", filename, err)
+				}
+				filename = strings.TrimSuffix(filename, ".gz")
+			}
+
+			runnerDir := filepath.Join(targetDir, runner)
+			if err := os.MkdirAll(runnerDir, 0o755); err != nil {
+				return fmt.Errorf("extractFiles could not mkdir %s: %v", runnerDir, err)
+			}
+
+			base := filepath.Base(filename)
+			destFilename := filepath.Join(runnerDir, base)
+
+			_, err = os.Stat(destFilename)
+			switch {
+			case errors.Is(err, os.ErrNotExist):
+				destFile, err := os.OpenFile(destFilename, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, 0o755)
+				if err != nil {
+					return fmt.Errorf("write payload %s: %v", filename, err)
+				}
+				defer destFile.Close()
+				if _, err := io.Copy(destFile, src); err != nil {
+					return fmt.Errorf("copy payload %s: %v", filename, err)
+				}
+			case err != nil:
+				return fmt.Errorf("stat payload %s: %v", filename, err)
+			}
+			return nil
+		})
+	}
+
+	err = g.Wait()
+	if err != nil {
+		slog.Error("failed to extract files", "error", err)
+		// If we fail to extract, the payload dir is most likely unusable, so cleanup whatever we extracted
+		err := os.RemoveAll(targetDir)
+		if err != nil {
+			slog.Warn("failed to cleanup incomplete payload dir", "dir", targetDir, "error", err)
+		}
+		return err
+	}
+	return nil
+}
+
+// Best effort to clean up prior tmpdirs
+func cleanupTmpDirs() {
+	tmpDir := envconfig.TmpDir()
+	if tmpDir == "" {
+		tmpDir = os.TempDir()
+	}
+	matches, err := filepath.Glob(filepath.Join(tmpDir, "ollama*", "ollama.pid"))
+	if err != nil {
+		return
+	}
+
+	for _, match := range matches {
+		raw, err := os.ReadFile(match)
+		if errors.Is(err, os.ErrNotExist) {
+			slog.Debug("not a ollama runtime directory, skipping", "path", match)
+			continue
+		} else if err != nil {
+			slog.Warn("could not read ollama.pid, skipping", "path", match, "error", err)
+			continue
+		}
+
+		pid, err := strconv.Atoi(string(raw))
+		if err != nil {
+			slog.Warn("invalid pid, skipping", "path", match, "error", err)
+			continue
+		}
+
+		p, err := os.FindProcess(pid)
+		if err == nil && !errors.Is(p.Signal(syscall.Signal(0)), os.ErrProcessDone) {
+			slog.Warn("process still running, skipping", "pid", pid, "path", match)
+			continue
+		}
+
+		if err := os.Remove(match); err != nil {
+			slog.Warn("could not cleanup stale pidfile", "path", match, "error", err)
+		}
+
+		runners := filepath.Join(filepath.Dir(match), "runners")
+		if err := os.RemoveAll(runners); err != nil {
+			slog.Warn("could not cleanup stale runners", "path", runners, "error", err)
+		}
+
+		if err := os.Remove(filepath.Dir(match)); err != nil {
+			slog.Warn("could not cleanup stale tmpdir", "path", filepath.Dir(match), "error", err)
+		}
+	}
+}
+
+// directory names are the name of the runner and may contain an optional
+// variant prefixed with '_' as the separator. For example, "cuda_v11" and
+// "cuda_v12" or "cpu" and "cpu_avx2". Any library without a variant is the
+// lowest common denominator
+func GetAvailableServers(payloadsDir string) map[string]string {
+	if payloadsDir == "" {
+		slog.Error("empty runner dir")
+		return nil
+	}
+
+	// glob payloadsDir for files that start with ollama_
+	pattern := filepath.Join(payloadsDir, "*", "ollama_*")
+
+	files, err := filepath.Glob(pattern)
+	if err != nil {
+		slog.Debug("could not glob", "pattern", pattern, "error", err)
+		return nil
+	}
+
+	servers := make(map[string]string)
+	for _, file := range files {
+		slog.Debug("availableServers : found", "file", file)
+		servers[filepath.Base(filepath.Dir(file))] = filepath.Dir(file)
+	}
+
+	return servers
+}
+
+// serversForGpu returns a list of compatible servers give the provided GPU
+// info, ordered by performance. assumes Init() has been called
+// TODO - switch to metadata based mapping
+func ServersForGpu(info gpu.GpuInfo) []string {
+	// glob workDir for files that start with ollama_
+	availableServers := GetAvailableServers(runnersDir)
+	requested := info.Library
+	if info.Variant != gpu.CPUCapabilityNone.String() {
+		requested += "_" + info.Variant
+	}
+
+	servers := []string{}
+
+	// exact match first
+	for a := range availableServers {
+		if a == requested {
+			servers = []string{a}
+
+			if a == "metal" {
+				return servers
+			}
+
+			break
+		}
+	}
+
+	alt := []string{}
+
+	// Then for GPUs load alternates and sort the list for consistent load ordering
+	if info.Library != "cpu" {
+		for a := range availableServers {
+			if info.Library == strings.Split(a, "_")[0] && a != requested {
+				alt = append(alt, a)
+			}
+		}
+
+		slices.Sort(alt)
+		servers = append(servers, alt...)
+	}
+
+	if !(runtime.GOOS == "darwin" && runtime.GOARCH == "arm64") {
+		// Load up the best CPU variant if not primary requested
+		if info.Library != "cpu" {
+			variant := gpu.GetCPUCapability()
+			// If no variant, then we fall back to default
+			// If we have a variant, try that if we find an exact match
+			// Attempting to run the wrong CPU instructions will panic the
+			// process
+			if variant != gpu.CPUCapabilityNone {
+				for cmp := range availableServers {
+					if cmp == "cpu_"+variant.String() {
+						servers = append(servers, cmp)
+						break
+					}
+				}
+			} else {
+				servers = append(servers, "cpu")
+			}
+		}
+
+		if len(servers) == 0 {
+			servers = []string{"cpu"}
+		}
+	}
+
+	return servers
+}
+
+// Return the optimal server for this CPU architecture
+func ServerForCpu() string {
+	if runtime.GOOS == "darwin" && runtime.GOARCH == "arm64" {
+		return "metal"
+	}
+	variant := gpu.GetCPUCapability()
+	availableServers := GetAvailableServers(runnersDir)
+	if variant != gpu.CPUCapabilityNone {
+		for cmp := range availableServers {
+			if cmp == "cpu_"+variant.String() {
+				return cmp
+			}
+		}
+	}
+	return "cpu"
+}
--- a/runners/runners_test.go
+++ b/runners/runners_test.go
@@ -0,0 +1,50 @@
+package runners
+
+import (
+	"log/slog"
+	"os"
+	"path"
+	"runtime"
+	"strings"
+	"testing"
+	"testing/fstest"
+)
+
+func TestRefreshRunners(t *testing.T) {
+	slog.SetLogLoggerLevel(slog.LevelDebug)
+
+	payloadFS := fstest.MapFS{
+		path.Join(runtime.GOOS, runtime.GOARCH, "foo", "ollama_llama_server"): {Data: []byte("hello, world\n")},
+	}
+	tmpDir, err := os.MkdirTemp("", "testing")
+	if err != nil {
+		t.Fatalf("failed to make tmp dir %s", err)
+	}
+	t.Setenv("OLLAMA_TMPDIR", tmpDir)
+	rDir, err := Refresh(payloadFS)
+	if err != nil {
+		t.Fatalf("failed to extract to %s %s", tmpDir, err)
+	}
+	if !strings.Contains(rDir, tmpDir) {
+		t.Fatalf("runner dir %s was not in tmp dir %s", rDir, tmpDir)
+	}
+
+	// spot check results
+	servers := GetAvailableServers(rDir)
+	if len(servers) < 1 {
+		t.Fatalf("expected at least 1 server")
+	}
+
+	// Refresh contents
+	rDir, err = extractRunners(payloadFS)
+	if err != nil {
+		t.Fatalf("failed to extract to %s %s", tmpDir, err)
+	}
+	if !strings.Contains(rDir, tmpDir) {
+		t.Fatalf("runner dir %s was not in tmp dir %s", rDir, tmpDir)
+	}
+
+	cleanupTmpDirs()
+
+	Cleanup(payloadFS)
+}
--- a/scripts/build_darwin.sh
+++ b/scripts/build_darwin.sh
@@ -2,8 +2,7 @@

 set -e

-export VERSION=${VERSION:-$(git describe --tags --first-parent --abbrev=7 --long --dirty --always | sed -e "s/^v//g")}
-export GOFLAGS="'-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=$VERSION\" \"-X=github.com/ollama/ollama/server.mode=release\"'"
+. $(dirname $0)/env.sh

 mkdir -p dist

--- a/scripts/build_docker.sh
+++ b/scripts/build_docker.sh
@@ -2,76 +2,34 @@

 set -eu

-export VERSION=${VERSION:-$(git describe --tags --first-parent --abbrev=7 --long --dirty --always | sed -e "s/^v//g")}
-export GOFLAGS="'-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=$VERSION\" \"-X=github.com/ollama/ollama/server.mode=release\"'"
-
-# We use 2 different image repositories to handle combining architecture images into multiarch manifest
-# (The ROCm image is x86 only and is not a multiarch manifest)
-# For developers, you can override the DOCKER_ORG to generate multiarch manifests
-#  DOCKER_ORG=jdoe PUSH=1 ./scripts/build_docker.sh
-DOCKER_ORG=${DOCKER_ORG:-"ollama"}
-RELEASE_IMAGE_REPO=${RELEASE_IMAGE_REPO:-"${DOCKER_ORG}/release"}
-FINAL_IMAGE_REPO=${FINAL_IMAGE_REPO:-"${DOCKER_ORG}/ollama"}
-
-BUILD_ARCH=${BUILD_ARCH:-"amd64 arm64"}
+. $(dirname $0)/env.sh

 # Set PUSH to a non-empty string to trigger push instead of load
 PUSH=${PUSH:-""}

-# In CI mode, we break things down
-OLLAMA_SKIP_MANIFEST_CREATE=${OLLAMA_SKIP_MANIFEST_CREATE:-""}
-OLLAMA_SKIP_IMAGE_BUILD=${OLLAMA_SKIP_IMAGE_BUILD:-""}
-
 if [ -z "${PUSH}" ] ; then
+    echo "Building ${FINAL_IMAGE_REPO}:$VERSION locally.  set PUSH=1 to push"
    LOAD_OR_PUSH="--load"
 else
-    echo "Will be pushing ${RELEASE_IMAGE_REPO}:$VERSION for ${BUILD_ARCH}"
+    echo "Will be pushing ${FINAL_IMAGE_REPO}:$VERSION"
    LOAD_OR_PUSH="--push"
 fi

-if [ -z "${OLLAMA_SKIP_IMAGE_BUILD}" ]; then
-    for TARGETARCH in ${BUILD_ARCH}; do
-        docker build \
-            ${LOAD_OR_PUSH} \
-            --platform=linux/${TARGETARCH} \
-            --build-arg=VERSION \
-            --build-arg=GOFLAGS \
-            -f Dockerfile \
-            -t ${RELEASE_IMAGE_REPO}:$VERSION-${TARGETARCH} \
-            .
-    done
+docker buildx build \
+    ${LOAD_OR_PUSH} \
+    --platform=${PLATFORM} \
+    ${OLLAMA_COMMON_BUILD_ARGS} \
+    -f Dockerfile \
+    -t ${FINAL_IMAGE_REPO}:$VERSION \
+    .

-    if echo ${BUILD_ARCH} | grep "amd64" > /dev/null; then
-        docker build \
-            ${LOAD_OR_PUSH} \
-            --platform=linux/amd64 \
-            --build-arg=VERSION \
-            --build-arg=GOFLAGS \
-            --target runtime-rocm \
-            -f Dockerfile \
-            -t ${RELEASE_IMAGE_REPO}:$VERSION-rocm \
-            .
-    fi
-fi
-
-if [ -z "${OLLAMA_SKIP_MANIFEST_CREATE}" ]; then
-    if [ -n "${PUSH}" ]; then
-        docker manifest create ${FINAL_IMAGE_REPO}:$VERSION \
-            ${RELEASE_IMAGE_REPO}:$VERSION-amd64 \
-            ${RELEASE_IMAGE_REPO}:$VERSION-arm64
-        docker manifest push ${FINAL_IMAGE_REPO}:$VERSION
-
-        # For symmetry, tag/push the rocm image
-        if [ "${RELEASE_IMAGE_REPO}" != "${FINAL_IMAGE_REPO}" ]; then
-            echo "Tagging and pushing rocm image"
-            docker pull ${RELEASE_IMAGE_REPO}:$VERSION-rocm
-            docker tag ${RELEASE_IMAGE_REPO}:$VERSION-rocm ${FINAL_IMAGE_REPO}:$VERSION-rocm
-            docker push ${FINAL_IMAGE_REPO}:$VERSION-rocm
-        fi
-    else
-        echo "Skipping manifest generation when not pushing images are available locally as "
-        echo "  ${RELEASE_IMAGE_REPO}:$VERSION-amd64"
-        echo "  ${RELEASE_IMAGE_REPO}:$VERSION-arm64"
-        echo "  ${RELEASE_IMAGE_REPO}:$VERSION-rocm"
-    fi
-fi
+if echo $PLATFORM | grep "amd64" > /dev/null; then
+    docker buildx build \
+        ${LOAD_OR_PUSH} \
+        --platform=linux/amd64 \
+        ${OLLAMA_COMMON_BUILD_ARGS} \
+        --target runtime-rocm \
+        -f Dockerfile \
+        -t ${FINAL_IMAGE_REPO}:$VERSION-rocm \
+        .
+fi
--- a/scripts/build_linux.sh
+++ b/scripts/build_linux.sh
@@ -1,37 +1,29 @@
 #!/bin/sh
+#
+# Mac ARM users, rosetta can be flaky, so to use a remote x86 builder
+#
+# docker context create amd64 --docker host=ssh://mybuildhost
+# docker buildx create --name mybuilder amd64 --platform linux/amd64
+# docker buildx create --name mybuilder --append desktop-linux --platform linux/arm64
+# docker buildx use mybuilder
+

 set -eu

-export VERSION=${VERSION:-$(git describe --tags --first-parent --abbrev=7 --long --dirty --always | sed -e "s/^v//g")}
-export GOFLAGS="'-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=$VERSION\" \"-X=github.com/ollama/ollama/server.mode=release\"'"
-GZIP=$(which pigz 2>/dev/null || echo "gzip")
+. $(dirname $0)/env.sh

-BUILD_ARCH=${BUILD_ARCH:-"amd64 arm64"}
-export AMDGPU_TARGETS=${AMDGPU_TARGETS:=""}
 mkdir -p dist

-for TARGETARCH in ${BUILD_ARCH}; do
-    docker build \
-        --platform=linux/$TARGETARCH \
-        --build-arg=GOFLAGS \
-        --build-arg=CGO_CFLAGS \
-        --build-arg=OLLAMA_CUSTOM_CPU_DEFS \
-        --build-arg=AMDGPU_TARGETS \
-        --target build-$TARGETARCH \
+docker buildx build \
+        --output type=local,dest=./dist/ \
+        --platform=${PLATFORM} \
+        ${OLLAMA_COMMON_BUILD_ARGS} \
+        --target dist \
        -f Dockerfile \
-        -t builder:$TARGETARCH \
        .
-    docker create --platform linux/$TARGETARCH --name builder-$TARGETARCH builder:$TARGETARCH
-    rm -rf ./dist/linux-$TARGETARCH
-    docker cp builder-$TARGETARCH:/go/src/github.com/ollama/ollama/dist/linux-$TARGETARCH ./dist
-    if echo ${TARGETARCH} | grep "amd64" > /dev/null; then
-        docker cp builder-$TARGETARCH:/go/src/github.com/ollama/ollama/dist/linux-$TARGETARCH-rocm ./dist
-    fi
-    docker rm builder-$TARGETARCH
-    echo "Compressing final linux bundle..."
-    rm -f ./dist/ollama-linux-$TARGETARCH.tgz
-    (cd dist/linux-$TARGETARCH && tar cf - . | ${GZIP} --best > ../ollama-linux-$TARGETARCH.tgz )
-    if [ -d dist/linux-$TARGETARCH-rocm ]; then
-        (cd dist/linux-$TARGETARCH-rocm && tar cf - . | ${GZIP} --best > ../ollama-linux-$TARGETARCH-rocm.tgz )
-    fi
-done
+
+# buildx behavior changes for single vs. multiplatform
+if echo $PLATFORM | grep "," > /dev/null ; then 
+        mv -f ./dist/linux_*64/ollama* ./dist/
+        rmdir ./dist/linux_*64
+fi
--- a/scripts/env.sh
+++ b/scripts/env.sh
@@ -0,0 +1,14 @@
+# Common environment setup across build*.sh scripts
+
+export VERSION=${VERSION:-$(git describe --tags --first-parent --abbrev=7 --long --dirty --always | sed -e "s/^v//g")}
+export GOFLAGS="'-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=$VERSION\" \"-X=github.com/ollama/ollama/server.mode=release\"'"
+# TODO - consider `docker buildx ls --format=json` to autodiscover platform capability
+PLATFORM=${PLATFORM:-"linux/arm64,linux/amd64"}
+DOCKER_ORG=${DOCKER_ORG:-"ollama"}
+RELEASE_IMAGE_REPO=${RELEASE_IMAGE_REPO:-"${DOCKER_ORG}/release"}
+FINAL_IMAGE_REPO=${FINAL_IMAGE_REPO:-"${DOCKER_ORG}/ollama"}
+OLLAMA_COMMON_BUILD_ARGS="--build-arg=VERSION --build-arg=GOFLAGS --build-arg=OLLAMA_CUSTOM_CPU_DEFS --build-arg=AMDGPU_TARGETS"
+
+echo "Building Ollama"
+echo "VERSION=$VERSION"
+echo "PLATFORM=$PLATFORM"
--- a/scripts/install.sh
+++ b/scripts/install.sh
@@ -356,12 +356,12 @@ if ! lsmod | grep -q nvidia || ! lsmod | grep -q nvidia_uvm; then
 fi

 # make sure the NVIDIA modules are loaded on boot with nvidia-persistenced
-if command -v nvidia-persistenced > /dev/null 2>&1; then
+if available nvidia-persistenced; then
    $SUDO touch /etc/modules-load.d/nvidia.conf
    MODULES="nvidia nvidia-uvm"
    for MODULE in $MODULES; do
        if ! grep -qxF "$MODULE" /etc/modules-load.d/nvidia.conf; then
-            echo "$MODULE" | sudo tee -a /etc/modules-load.d/nvidia.conf > /dev/null
+            echo "$MODULE" | $SUDO tee -a /etc/modules-load.d/nvidia.conf > /dev/null
        fi
    done
 fi
--- a/scripts/tag_latest.sh
+++ b/scripts/tag_latest.sh
@@ -2,32 +2,12 @@

 set -eu

-# We use 2 different image repositories to handle combining architecture images into multiarch manifest
-# (The ROCm image is x86 only and is not a multiarch manifest)
 # For developers, you can override the DOCKER_ORG to generate multiarch manifests
-#  DOCKER_ORG=jdoe VERSION=0.1.30 PUSH=1 ./scripts/tag_latest.sh
+#  DOCKER_ORG=jdoe VERSION=0.1.30 ./scripts/tag_latest.sh
 DOCKER_ORG=${DOCKER_ORG:-"ollama"}
-RELEASE_IMAGE_REPO=${RELEASE_IMAGE_REPO:-"${DOCKER_ORG}/release"}
 FINAL_IMAGE_REPO=${FINAL_IMAGE_REPO:-"${DOCKER_ORG}/ollama"}

-# Set PUSH to a non-empty string to trigger push instead of load
-PUSH=${PUSH:-""}
-
-echo "Assembling manifest and tagging latest"
-docker manifest rm ${FINAL_IMAGE_REPO}:latest || true
-docker manifest create ${FINAL_IMAGE_REPO}:latest \
-    ${RELEASE_IMAGE_REPO}:$VERSION-amd64 \
-    ${RELEASE_IMAGE_REPO}:$VERSION-arm64
-
-docker pull ${RELEASE_IMAGE_REPO}:$VERSION-rocm
-docker tag ${RELEASE_IMAGE_REPO}:$VERSION-rocm ${FINAL_IMAGE_REPO}:rocm
-
-if [ -n "${PUSH}" ]; then
-    echo "Pushing latest tags up..."
-    docker manifest push ${FINAL_IMAGE_REPO}:latest
-    docker push ${FINAL_IMAGE_REPO}:rocm
-else
-    echo "Not pushing ${FINAL_IMAGE_REPO}:latest and ${FINAL_IMAGE_REPO}:rocm"
-fi
-
-
+echo "Updating ${FINAL_IMAGE_REPO}:latest -> ${FINAL_IMAGE_REPO}:${VERSION}"
+docker buildx imagetools create -t ${FINAL_IMAGE_REPO}:latest ${FINAL_IMAGE_REPO}:${VERSION}
+echo "Updating ${FINAL_IMAGE_REPO}:rocm -> ${FINAL_IMAGE_REPO}:${VERSION}-rocm"
+docker buildx imagetools create -t ${FINAL_IMAGE_REPO}:rocm ${FINAL_IMAGE_REPO}:${VERSION}-rocm
--- a/server/download.go
+++ b/server/download.go
@@ -256,7 +256,7 @@ func (b *blobDownload) run(ctx context.Context, requestURL *url.URL, opts *regis
 				continue
 			}
 			defer resp.Body.Close()
-			if resp.StatusCode != http.StatusTemporaryRedirect {
+			if resp.StatusCode != http.StatusTemporaryRedirect && resp.StatusCode != http.StatusOK {
 				return nil, fmt.Errorf("unexpected status code %d", resp.StatusCode)
 			}
 			return resp.Location()
--- a/server/routes.go
+++ b/server/routes.go
@@ -26,11 +26,13 @@ import (
 	"golang.org/x/sync/errgroup"

 	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/build"
 	"github.com/ollama/ollama/envconfig"
 	"github.com/ollama/ollama/gpu"
 	"github.com/ollama/ollama/llm"
 	"github.com/ollama/ollama/openai"
 	"github.com/ollama/ollama/parser"
+	"github.com/ollama/ollama/runners"
 	"github.com/ollama/ollama/template"
 	"github.com/ollama/ollama/types/errtypes"
 	"github.com/ollama/ollama/types/model"
@@ -117,6 +119,32 @@ func (s *Server) GenerateHandler(c *gin.Context) {
 		return
 	}

+	// expire the runner
+	if req.Prompt == "" && req.KeepAlive != nil && int(req.KeepAlive.Seconds()) == 0 {
+		model, err := GetModel(req.Model)
+		if err != nil {
+			switch {
+			case os.IsNotExist(err):
+				c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Model)})
+			case err.Error() == "invalid model name":
+				c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
+			default:
+				c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+			}
+			return
+		}
+		s.sched.expireRunner(model)
+
+		c.JSON(http.StatusOK, api.GenerateResponse{
+			Model:      req.Model,
+			CreatedAt:  time.Now().UTC(),
+			Response:   "",
+			Done:       true,
+			DoneReason: "unload",
+		})
+		return
+	}
+
 	if req.Format != "" && req.Format != "json" {
 		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "format must be empty or \"json\""})
 		return
@@ -1190,12 +1218,12 @@ func Serve(ln net.Listener) error {
 		srvr.Close()
 		schedDone()
 		sched.unloadAllRunners()
-		gpu.Cleanup()
+		runners.Cleanup(build.EmbedFS)
 		done()
 	}()

-	if err := llm.Init(); err != nil {
-		return fmt.Errorf("unable to initialize llm library %w", err)
+	if _, err := runners.Refresh(build.EmbedFS); err != nil {
+		return fmt.Errorf("unable to initialize llm runners %w", err)
 	}

 	s.sched.Run(schedCtx)
@@ -1322,6 +1350,32 @@ func (s *Server) ChatHandler(c *gin.Context) {
 		return
 	}

+	// expire the runner
+	if len(req.Messages) == 0 && req.KeepAlive != nil && int(req.KeepAlive.Seconds()) == 0 {
+		model, err := GetModel(req.Model)
+		if err != nil {
+			switch {
+			case os.IsNotExist(err):
+				c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Model)})
+			case err.Error() == "invalid model name":
+				c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
+			default:
+				c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+			}
+			return
+		}
+		s.sched.expireRunner(model)
+
+		c.JSON(http.StatusOK, api.ChatResponse{
+			Model:      req.Model,
+			CreatedAt:  time.Now().UTC(),
+			Message:    api.Message{Role: "assistant"},
+			Done:       true,
+			DoneReason: "unload",
+		})
+		return
+	}
+
 	caps := []Capability{CapabilityCompletion}
 	if len(req.Tools) > 0 {
 		caps = append(caps, CapabilityTools)
--- a/server/sched.go
+++ b/server/sched.go
@@ -360,7 +360,6 @@ func (s *Scheduler) processCompleted(ctx context.Context) {
 			slog.Debug("runner expired event received", "modelPath", runner.modelPath)
 			runner.refMu.Lock()
 			if runner.refCount > 0 {
-				// Shouldn't happen, but safeguard to ensure no leaked runners
 				slog.Debug("expired event with positive ref count, retrying", "modelPath", runner.modelPath, "refCount", runner.refCount)
 				go func(runner *runnerRef) {
 					// We can't unload yet, but want to as soon as the current request completes
@@ -802,6 +801,25 @@ func (s *Scheduler) unloadAllRunners() {
 	}
 }

+func (s *Scheduler) expireRunner(model *Model) {
+	s.loadedMu.Lock()
+	defer s.loadedMu.Unlock()
+	runner, ok := s.loaded[model.ModelPath]
+	if ok {
+		runner.refMu.Lock()
+		runner.expiresAt = time.Now()
+		if runner.expireTimer != nil {
+			runner.expireTimer.Stop()
+			runner.expireTimer = nil
+		}
+		runner.sessionDuration = 0
+		if runner.refCount <= 0 {
+			s.expiredCh <- runner
+		}
+		runner.refMu.Unlock()
+	}
+}
+
 // If other runners are loaded, make sure the pending request will fit in system memory
 // If not, pick a runner to unload, else return nil and the request can be loaded
 func (s *Scheduler) maybeFindCPURunnerToUnload(req *LlmRequest, ggml *llm.GGML, gpus gpu.GpuInfoList) *runnerRef {
--- a/server/sched_test.go
+++ b/server/sched_test.go
@@ -406,6 +406,52 @@ func TestGetRunner(t *testing.T) {
 	b.ctxDone()
 }

+func TestExpireRunner(t *testing.T) {
+	ctx, done := context.WithTimeout(context.Background(), 20*time.Millisecond)
+	defer done()
+	s := InitScheduler(ctx)
+	req := &LlmRequest{
+		ctx:             ctx,
+		model:           &Model{ModelPath: "foo"},
+		opts:            api.DefaultOptions(),
+		successCh:       make(chan *runnerRef, 1),
+		errCh:           make(chan error, 1),
+		sessionDuration: &api.Duration{Duration: 2 * time.Minute},
+	}
+
+	var ggml *llm.GGML
+	gpus := gpu.GpuInfoList{}
+	server := &mockLlm{estimatedVRAM: 10, estimatedVRAMByGPU: map[string]uint64{}}
+	s.newServerFn = func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options, numParallel int) (llm.LlamaServer, error) {
+		return server, nil
+	}
+	s.load(req, ggml, gpus, 0)
+
+	select {
+	case err := <-req.errCh:
+		if err != nil {
+			t.Fatalf("expected no errors when loading, got '%s'", err.Error())
+		}
+	case resp := <-req.successCh:
+		s.loadedMu.Lock()
+		if resp.refCount != uint(1) || len(s.loaded) != 1 {
+			t.Fatalf("expected a model to be loaded")
+		}
+		s.loadedMu.Unlock()
+	}
+
+	s.expireRunner(&Model{ModelPath: "foo"})
+
+	s.finishedReqCh <- req
+	s.processCompleted(ctx)
+
+	s.loadedMu.Lock()
+	if len(s.loaded) != 0 {
+		t.Fatalf("expected model to be unloaded")
+	}
+	s.loadedMu.Unlock()
+}
+
 // TODO - add one scenario that triggers the bogus finished event with positive ref count
 func TestPrematureExpired(t *testing.T) {
 	ctx, done := context.WithTimeout(context.Background(), 500*time.Millisecond)
Author	SHA1	Message	Date
Patrick Devine	b8af12ceaf	feed the linter	2024-09-17 18:19:31 -07:00
Patrick Devine	6f041ddfa4	allow ctl-j to add a new line + fix multiline bracketed paste	2024-09-17 18:12:55 -07:00
Michael Yang	72962c6e08	Merge pull request #6833 from ollama/mxyng/git-am make patches git am-able	2024-09-17 16:33:23 -07:00
Michael Yang	7bd7b02712	make patches git am-able raw diffs can be applied using `git apply` but not with `git am`. git patches, e.g. through `git format-patch` are both apply-able and am-able	2024-09-17 15:26:40 -07:00
Daniel Hiltgen	8f9ab5e14d	CI: dist directories no longer present (#6834 ) The new buildx based build no longer leaves the dist/linux-* directories around, so we don't have to clean them up before uploading.	2024-09-16 17:31:37 -07:00
Daniel Hiltgen	7717bb6a84	CI: clean up naming, fix tagging latest (#6832 ) The rocm CI step for RCs was incorrectly tagging them as the latest rocm build. The multiarch manifest was incorrectly tagged twice (with and without the prefix "v"). Static windows artifacts weren't being carried between build jobs. This also fixes the latest tagging script.	2024-09-16 16:18:41 -07:00
Daniel Hiltgen	0ec2915ea7	CI: set platform build build_linux script to keep buildx happy (#6829 ) The runners don't have emulation set up so the default multi-platform build wont work.	2024-09-16 14:07:29 -07:00
Michael Yang	c9a7541b9c	readme: add Agents-Flex to community integrations (#6788 )	2024-09-16 13:42:52 -07:00
Patrick Devine	d81cfd7d6f	fix typo in import docs (#6828 )	2024-09-16 11:48:14 -07:00
Pepo	b330c830d3	readme: add vim-intelligence-bridge to Terminal section (#6818 )	2024-09-15 21:20:36 -04:00
Edward Cui	d889c6fd07	readme: add Obsidian Quiz Generator plugin to community integrations (#6789 )	2024-09-14 23:52:37 -04:00
Daniel Hiltgen	56b9af336a	Fix incremental builds on linux (#6780 ) scripts: fix incremental builds on linux or similar	2024-09-13 08:24:08 -07:00
Daniel Hiltgen	fda0d3be52	Use GOARCH for build dirs (#6779 ) Corrects x86_64 vs amd64 discrepancy	2024-09-12 16:38:05 -07:00
Daniel Hiltgen	cd5c8f6471	Optimize container images for startup (#6547 ) * Optimize container images for startup This change adjusts how to handle runner payloads to support container builds where we keep them extracted in the filesystem. This makes it easier to optimize the cpu/cuda vs cpu/rocm images for size, and should result in faster startup times for container images. * Refactor payload logic and add buildx support for faster builds * Move payloads around * Review comments * Converge to buildx based helper scripts * Use docker buildx action for release	2024-09-12 12:10:30 -07:00
dcasota	fef257c5c5	examples: updated requirements.txt for privategpt example	2024-09-11 18:56:56 -07:00
Adrian Cole	d066d9b8e0	examples: polish loganalyzer example (#6744 )	2024-09-11 18:37:37 -07:00
RAPID ARCHITECT	5a00dc9fc9	readme: add ollama_moe to community integrations (#6752 )	2024-09-11 18:36:26 -07:00
Jesse Gross	c354e87809	Merge pull request #6767 from ollama/jessegross/bug_6707 runner: Flush pending responses before returning	2024-09-11 17:20:22 -07:00
Jesse Gross	93ac3760cb	runner: Flush pending responses before returning If there are any pending reponses (such as from potential stop tokens) then we should send them back before ending the sequence. Otherwise, we can be missing tokens at the end of a response. Fixes #6707	2024-09-11 16:39:32 -07:00
Patrick Devine	abed273de3	add "stop" command (#6739 )	2024-09-11 16:36:21 -07:00
Michael Yang	034392624c	Merge pull request #6762 from ollama/mxyng/show-output refactor show ouput	2024-09-11 14:58:40 -07:00
Michael Yang	ecab6f1cc5	refactor show ouput fixes line wrapping on long texts	2024-09-11 14:23:09 -07:00
Petr Mironychev	7d6900827d	readme: add QodeAssist to community integrations (#6754 )	2024-09-11 13:19:49 -07:00
Daniel Hiltgen	9246e6dd15	Verify permissions for AMD GPU (#6736 ) This adds back a check which was lost many releases back to verify /dev/kfd permissions which when lacking, can lead to confusing failure modes of: "rocBLAS error: Could not initialize Tensile host: No devices found" This implementation does not hard fail the serve command but instead will fall back to CPU with an error log. In the future we can include this in the GPU discovery UX to show detected but unsupported devices we discovered.	2024-09-11 11:38:25 -07:00
Michael Yang	735a0ca2e4	Merge pull request #6732 from ollama/mxyng/debug-proxy add *_proxy to env map for debugging	2024-09-10 16:13:25 -07:00
Michael Yang	dddb72e084	add *_proxy for debugging	2024-09-10 09:43:35 -07:00
Jeffrey Morgan	83a9b5271a	docs: update examples to use llama3.1 (#6718 )	2024-09-09 22:47:16 -07:00
Daniel Hiltgen	4a8069f9c4	Quiet down dockers new lint warnings (#6716 ) * Quiet down dockers new lint warnings Docker has recently added lint warnings to build. This cleans up those warnings. * Fix go lint regression	2024-09-09 17:22:20 -07:00
Patrick Devine	84b84ce2db	catch when model vocab size is set correctly (#6714 )	2024-09-09 17:18:54 -07:00
Jeffrey Morgan	bb6a086d63	readme: add crewAI to community integrations (#6699 )	2024-09-08 00:36:24 -07:00
RAPID ARCHITECT	30c8f201cc	readme: add crewAI with mesop to community integrations	2024-09-08 00:35:59 -07:00
frob	06d4fba851	openai: align chat temperature and frequency_penalty options with completion (#6688 )	2024-09-07 09:08:08 -07:00
Jeffrey Morgan	108fb6c1d1	docs: improve linux install documentation (#6683 ) Includes small improvements to document layout and code blocks	2024-09-06 22:05:37 -07:00
Yaroslav	da915345d1	openai: don't scale temperature or frequency_penalty (#6514 )	2024-09-06 17:45:45 -07:00
nickthecook	8a027bc401	readme: add Archyve to community integrations (#6680 )	2024-09-06 14:06:01 -07:00
imoize	5446903fbd	readme: add Plasmoid Ollama Control to community integrations (#6681 )	2024-09-06 14:04:12 -07:00
Daniel Hiltgen	56318fb365	Improve logging on GPU too small (#6666 ) When we determine a GPU is too small for any layers, it's not always clear why. This will help troubleshoot those scenarios.	2024-09-06 08:29:36 -07:00
frob	fe91d7fff1	openai: fix "presence_penalty" typo and add test (#6665 )	2024-09-06 01:16:28 -07:00
Patrick Devine	608e87bf87	Fix gemma2 2b conversion (#6645 )	2024-09-05 17:02:28 -07:00
Daniel Hiltgen	48685c6ed0	Document uninstall on windows (#6663 )	2024-09-05 15:57:38 -07:00
Daniel Hiltgen	9565fa64a8	Revert "Detect running in a container (#6495 )" (#6662 ) This reverts commit `a60d9b89ce`.	2024-09-05 14:26:00 -07:00
Daniel Hiltgen	6719097649	llm: make load time stall duration configurable via OLLAMA_LOAD_TIMEOUT With the new very large parameter models, some users are willing to wait for a very long time for models to load.	2024-09-05 14:00:08 -07:00
Daniel Hiltgen	b05c9e83d9	Introduce GPU Overhead env var (#5922 ) Provide a mechanism for users to set aside an amount of VRAM on each GPU to make room for other applications they want to start after Ollama, or workaround memory prediction bugs	2024-09-05 13:46:35 -07:00
Daniel Hiltgen	a60d9b89ce	Detect running in a container (#6495 )	2024-09-05 13:24:51 -07:00
Michael Yang	bf612cd608	Merge pull request #6260 from ollama/mxyng/mem llama3.1 memory	2024-09-05 13:22:08 -07:00
Zeyo	ef98e56122	readme: add AiLama to the list of community integrations (#4957 )	2024-09-05 13:10:44 -07:00
Michael	5f944baac7	Update gpu.md: Add RTX 3050 Ti and RTX 3050 Ti (#5888 ) * Update gpu.md Seems strange that the laptop versions of 3050 and 3050 Ti would be supported but not the non-notebook, but this is what the page (https://developer.nvidia.com/cuda-gpus) says. Signed-off-by: bean5 <2052646+bean5@users.noreply.github.com> * Update gpu.md Remove notebook reference --------- Signed-off-by: bean5 <2052646+bean5@users.noreply.github.com>	2024-09-05 11:24:26 -07:00
Tobias Heinze	6fc9d22707	server: fix blob download when receiving a 200 response (#6656 )	2024-09-05 10:48:26 -07:00
Vitaly Zdanevich	f27c00d8c5	readme: add Gentoo package manager entry to community integrations (#5714 )	2024-09-05 09:58:14 -07:00
王卿	c7c845ec52	Update install.sh：Replace "command -v" with encapsulated functionality (#6035 ) Replace "command -v" with encapsulated functionality	2024-09-05 09:49:48 -07:00
Augustinas Malinauskas	cf48603943	readme: include Enchanted for Apple Vision Pro (#4949 ) Added Enchanted with Apple Vision Pro support	2024-09-05 01:30:19 -04:00
Silas Marvin	6e67be09b6	readme: add lsp-ai to community integrations (#5063 )	2024-09-05 01:17:34 -04:00
Arda Günsüren	0f5f060d2b	readme: add ollama-php library to community integrations (#6361 )	2024-09-05 01:01:14 -04:00
Michael Yang	2003d60159	llama3.1 memory	2024-08-08 11:18:13 -07:00
				`@@ -0,0 +1 @@`
				`This is here to make sure the build/ directory exists for the go:embed command`