types/model: remove (*Digest).Scan and Digest.Value (#3589)

This is a quick fix to help users who are stuck on the "pull" step at
99%.

In the near future we're introducing a new registry client that
should/will hopefully be smarter. In the meantime, this should unblock
the users hitting issue #1736.

.github/ISSUE_TEMPLATE/90_bug_report.yml

@@ -19,7 +19,7 @@ body:
       label: What did you expect to see?
       description: What did you expect to see/happen instead?
     validations:
-      required: true
+      required: false
   - type: textarea
     id: steps
     attributes:

.github/workflows/latest.yaml

@@ -0,0 +1,24 @@
+name: latest
+
+on:
+  release:
+    types: [released]
+
+jobs:
+  update-latest:
+    environment: release
+    runs-on: linux
+    steps:
+      - uses: actions/checkout@v4
+      - name: Login to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ vars.DOCKER_USER }}
+          password: ${{ secrets.DOCKER_ACCESS_TOKEN }}
+      - name: Tag images as latest
+        env:
+          PUSH: "1"
+        shell: bash
+        run: |
+          export "VERSION=${GITHUB_REF_NAME#v}"
+          ./scripts/tag_latest.sh

.github/workflows/release.yaml

@@ -8,7 +8,7 @@ on:
 jobs:
   # Full build of the Mac assets
   build-darwin:
-    runs-on: macos-latest
+    runs-on: macos-12
     environment: release
     steps:
       - uses: actions/checkout@v4
@@ -30,7 +30,7 @@ jobs:
           security set-key-partition-list -S apple-tool:,apple:,codesign: -s -k password build.keychain
       - uses: actions/setup-go@v5
         with:
-          go-version: '1.22'
+          go-version-file: go.mod
           cache: true
       - name: Build Darwin
         env:
@@ -38,9 +38,11 @@ jobs:
           APPLE_PASSWORD: ${{ secrets.APPLE_PASSWORD }}
           APPLE_TEAM_ID: ${{ vars.APPLE_TEAM_ID }}
           APPLE_ID: ${{ vars.APPLE_ID }}
+          SDKROOT: /Applications/Xcode_13.4.1.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk
+          DEVELOPER_DIR: /Applications/Xcode_13.4.1.app/Contents/Developer
         run: |
           ./scripts/build_darwin.sh
-        
+
       - uses: actions/upload-artifact@v4
         with:
           name: dist-darwin
@@ -48,7 +50,6 @@ jobs:
             dist/*arwin*
             !dist/*-cov
 
-
   # Windows builds take a long time to both install the dependencies and build, so parallelize
   # CPU generation step
   generate-windows-cpu:
@@ -85,7 +86,7 @@ jobs:
           write-host "plugin installed"
       - uses: actions/setup-go@v5
         with:
-          go-version: '1.22'
+          go-version-file: go.mod
           cache: true
       - run: go get ./...
       - run: |
@@ -99,7 +100,9 @@ jobs:
       - uses: actions/upload-artifact@v4
         with:
           name: generate-windows-cpu
-          path: llm/llama.cpp/build/**/lib/*
+          path: |
+            llm/build/**/bin/*
+            llm/build/**/*.a
 
   # ROCm generation step
   generate-windows-rocm:
@@ -136,9 +139,9 @@ jobs:
           write-host "plugin installed"
       - uses: actions/setup-go@v5
         with:
-          go-version: '1.22'
+          go-version-file: go.mod
           cache: true
-      - name: "Install ROCm"
+      - name: 'Install ROCm'
         run: |
           $ErrorActionPreference = "Stop"
           write-host "downloading AMD HIP Installer"
@@ -146,7 +149,7 @@ jobs:
           write-host "Installing AMD HIP"
           Start-Process "${env:RUNNER_TEMP}\rocm-install.exe" -ArgumentList '-install' -NoNewWindow -Wait
           write-host "Completed AMD HIP"
-      - name: "Verify ROCm"
+      - name: 'Verify ROCm'
         run: |
           & 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' --version
       - run: go get ./...
@@ -160,7 +163,7 @@ jobs:
           $env:HIP_PATH=$(Resolve-Path 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | split-path | split-path)
           go generate -x ./...
         name: go generate
-      - name: "gather rocm dependencies"
+      - name: 'gather rocm dependencies'
         run: |
           $HIP_PATH=$(Resolve-Path 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | split-path | split-path)
           md "dist\deps\bin\rocblas\library"
@@ -170,7 +173,7 @@ jobs:
       - uses: actions/upload-artifact@v4
         with:
           name: generate-windows-rocm
-          path: llm/llama.cpp/build/**/lib/*
+          path: llm/build/**/bin/*
       - uses: actions/upload-artifact@v4
         with:
           name: windows-rocm-deps
@@ -211,29 +214,36 @@ jobs:
           write-host "plugin installed"
       - uses: actions/setup-go@v5
         with:
-          go-version: '1.22'
+          go-version-file: go.mod
           cache: true
-      # TODO - consider replacing this action with a ps1 snippet to install
-      # This actions seems to fail sometimes with "no tools in cache" but a re-run of the failed job clears it
-      # https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.89_win10.exe
-      - name: "Install CUDA"
-        uses: Jimver/cuda-toolkit@v0.2.14
-        id: cuda-toolkit
-        with:
-          cuda: '11.3.1'      
-      - name: "Verify CUDA"
+      - name: 'Install CUDA'
+        run: |
+          $ErrorActionPreference = "Stop"
+          write-host "downloading CUDA Installer"
+          Invoke-WebRequest -Uri "https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.89_win10.exe" -OutFile "${env:RUNNER_TEMP}\cuda-install.exe"
+          write-host "Installing CUDA"
+          Start-Process "${env:RUNNER_TEMP}\cuda-install.exe" -ArgumentList '-s' -NoNewWindow -Wait
+          write-host "Completed CUDA"
+          $cudaPath=((resolve-path "c:\Program Files\NVIDIA*\CUDA\v*\bin\nvcc.exe")[0].path | split-path | split-path)
+          $cudaVer=($cudaPath | split-path -leaf ) -replace 'v(\d+).(\d+)', '$1_$2' 
+          echo "$cudaPath\bin" >> $env:GITHUB_PATH
+          echo "CUDA_PATH=$cudaPath" >> $env:GITHUB_ENV
+          echo "CUDA_PATH_V${cudaVer}=$cudaPath" >> $env:GITHUB_ENV
+          echo "CUDA_PATH_VX_Y=CUDA_PATH_V${cudaVer}" >> $env:GITHUB_ENV
+      - name: 'Verify CUDA'
         run: nvcc -V
       - run: go get ./...
       - name: go generate
         run: |
           $gopath=(get-command go).source | split-path -parent
+          $cudabin=(get-command nvcc).source | split-path
           & "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\Common7\Tools\Launch-VsDevShell.ps1"
           cd $env:GITHUB_WORKSPACE
           $env:CMAKE_SYSTEM_VERSION="10.0.22621.0"
-          $env:PATH="$gopath;$env:PATH"
+          $env:PATH="$gopath;$cudabin;$env:PATH"
           $env:OLLAMA_SKIP_CPU_GENERATE="1"
           go generate -x ./...
-      - name: "gather cuda dependencies"
+      - name: 'gather cuda dependencies'
         run: |
           $NVIDIA_DIR=(resolve-path 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\*\bin\')[0]
           md "dist\deps"
@@ -243,7 +253,7 @@ jobs:
       - uses: actions/upload-artifact@v4
         with:
           name: generate-windows-cuda
-          path: llm/llama.cpp/build/**/lib/*
+          path: llm/build/**/bin/*
       - uses: actions/upload-artifact@v4
         with:
           name: windows-cuda-deps
@@ -290,17 +300,17 @@ jobs:
           write-host "plugin installed"
       - uses: actions/setup-go@v5
         with:
-          go-version: '1.22'
+          go-version-file: go.mod
           cache: true
       - run: go get
       - uses: actions/download-artifact@v4
         with:
           name: generate-windows-cpu
-          path: llm/llama.cpp/build
+          path: llm/build
       - uses: actions/download-artifact@v4
         with:
           name: generate-windows-cuda
-          path: llm/llama.cpp/build
+          path: llm/build
       - uses: actions/download-artifact@v4
         with:
           name: windows-cuda-deps
@@ -312,8 +322,8 @@ jobs:
       - uses: actions/download-artifact@v4
         with:
           name: generate-windows-rocm
-          path: llm/llama.cpp/build
-      - run: dir llm/llama.cpp/build
+          path: llm/build
+      - run: dir llm/build
       - run: |
           $gopath=(get-command go).source | split-path -parent
           & "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\Common7\Tools\Launch-VsDevShell.ps1"
@@ -329,14 +339,14 @@ jobs:
           name: dist-windows
           path: dist/*.exe
 
-  # Linux x86 assets built using the container based build 
+  # Linux x86 assets built using the container based build
   build-linux-amd64:
     environment: release
     runs-on: linux
     env:
-      OLLAMA_SKIP_MANIFEST_CREATE: "1"
+      OLLAMA_SKIP_MANIFEST_CREATE: '1'
       BUILD_ARCH: amd64
-      PUSH: "1"
+      PUSH: '1'
     steps:
       - uses: actions/checkout@v4
         with:
@@ -366,9 +376,9 @@ jobs:
     environment: release
     runs-on: linux-arm64
     env:
-      OLLAMA_SKIP_MANIFEST_CREATE: "1"
+      OLLAMA_SKIP_MANIFEST_CREATE: '1'
       BUILD_ARCH: arm64
-      PUSH: "1"
+      PUSH: '1'
     steps:
       - uses: actions/checkout@v4
         with:
@@ -376,7 +386,7 @@ jobs:
       - name: Set Version
         shell: bash
         run: echo "VERSION=${GITHUB_REF_NAME#v}" >> $GITHUB_ENV
-      - name: "Install Docker"
+      - name: 'Install Docker'
         run: |
           # Add Docker's official GPG key:
           env
@@ -413,7 +423,7 @@ jobs:
             !dist/*-cov
 
   # Aggregate all the assets and ship a release
-  release: 
+  release:
     needs:
       - build-darwin
       - build-windows
@@ -424,8 +434,8 @@ jobs:
     permissions:
       contents: write
     env:
-      OLLAMA_SKIP_IMAGE_BUILD: "1"
-      PUSH: "1"
+      OLLAMA_SKIP_IMAGE_BUILD: '1'
+      PUSH: '1'
     steps:
       - uses: actions/checkout@v4
       - name: Set Version
@@ -453,11 +463,11 @@ jobs:
         with:
           name: ${{ env.RELEASE_VERSION }}
           allowUpdates: true
-          artifacts: "dist/*"
+          artifacts: 'dist/*'
           draft: true
           prerelease: true
           omitBodyDuringUpdate: true
           generateReleaseNotes: true
           omitDraftDuringUpdate: true
           omitPrereleaseDuringUpdate: true
-          replacesArtifacts: true
+          replacesArtifacts: true

.github/workflows/test.yaml

@@ -5,11 +5,35 @@ on:
     paths:
       - '**/*'
       - '!docs/**'
-      - '!examples/**'
       - '!README.md'
 
 jobs:
+  changes:
+    runs-on: ubuntu-latest
+    outputs:
+      GENERATE: ${{ steps.changes.outputs.GENERATE }}
+      GENERATE_CUDA: ${{ steps.changes.outputs.GENERATE_CUDA }}
+      GENERATE_ROCM: ${{ steps.changes.outputs.GENERATE_ROCM }}
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+      - id: changes
+        run: |
+          changed() {
+            git diff-tree -r --no-commit-id --name-only ${{ github.event.pull_request.base.sha }} ${{ github.event.pull_request.head.sha }} \
+              | xargs python3 -c "import sys; print(any([x.startswith('$1') for x in sys.argv[1:]]))"
+          }
+
+          {
+            echo GENERATE=$(changed llm/)
+            echo GENERATE_CUDA=$(changed llm/)
+            echo GENERATE_ROCM=$(changed llm/)
+          } >>$GITHUB_OUTPUT
+
   generate:
+    needs: [changes]
+    if: ${{ needs.changes.outputs.GENERATE == 'True' }}
     strategy:
       matrix:
         os: [ubuntu-latest, macos-latest, windows-2019]
@@ -26,26 +50,32 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-go@v5
         with:
-          go-version: '1.22'
+          go-version-file: go.mod
           cache: true
       - run: go get ./...
       - run: |
           $gopath=(get-command go).source | split-path -parent
+          $gccpath=(get-command gcc).source | split-path -parent
           & "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\Common7\Tools\Launch-VsDevShell.ps1"
           cd $env:GITHUB_WORKSPACE
           $env:CMAKE_SYSTEM_VERSION="10.0.22621.0"
-          $env:PATH="$gopath;$env:PATH"
+          $env:PATH="$gopath;$gccpath;$env:PATH"
+          echo $env:PATH
           go generate -x ./...
         if: ${{ startsWith(matrix.os, 'windows-') }}
-        name: "Windows Go Generate"
+        name: 'Windows Go Generate'
       - run: go generate -x ./...
         if: ${{ ! startsWith(matrix.os, 'windows-') }}
-        name: "Unix Go Generate"
+        name: 'Unix Go Generate'
       - uses: actions/upload-artifact@v4
         with:
           name: ${{ matrix.os }}-${{ matrix.arch }}-libraries
-          path: llm/llama.cpp/build/**/lib/*
+          path: |
+            llm/build/**/bin/*
+            llm/build/**/*.a
   generate-cuda:
+    needs: [changes]
+    if: ${{ needs.changes.outputs.GENERATE_CUDA == 'True' }}
     strategy:
       matrix:
         cuda-version:
@@ -62,7 +92,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-go@v4
         with:
-          go-version: '1.22'
+          go-version-file: go.mod
           cache: true
       - run: go get ./...
       - run: |
@@ -73,12 +103,14 @@ jobs:
       - uses: actions/upload-artifact@v4
         with:
           name: cuda-${{ matrix.cuda-version }}-libraries
-          path: llm/llama.cpp/build/**/lib/*
+          path: llm/build/**/bin/*
   generate-rocm:
+    needs: [changes]
+    if: ${{ needs.changes.outputs.GENERATE_ROCM == 'True' }}
     strategy:
       matrix:
         rocm-version:
-          - '6.0'
+          - '6.0.2'
     runs-on: linux
     container: rocm/dev-ubuntu-20.04:${{ matrix.rocm-version }}
     steps:
@@ -91,7 +123,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-go@v4
         with:
-          go-version: '1.22'
+          go-version-file: go.mod
           cache: true
       - run: go get ./...
       - run: |
@@ -102,7 +134,87 @@ jobs:
       - uses: actions/upload-artifact@v4
         with:
           name: rocm-${{ matrix.rocm-version }}-libraries
-          path: llm/llama.cpp/build/**/lib/*
+          path: llm/build/**/bin/*
+
+  # ROCm generation step
+  generate-windows-rocm:
+    needs: [changes]
+    if: ${{ needs.changes.outputs.GENERATE_ROCM == 'True' }}
+    runs-on: windows
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-go@v5
+        with:
+          go-version-file: go.mod
+          cache: true
+      - name: 'Install ROCm'
+        run: |
+          $ErrorActionPreference = "Stop"
+          write-host "downloading AMD HIP Installer"
+          Invoke-WebRequest -Uri "https://download.amd.com/developer/eula/rocm-hub/AMD-Software-PRO-Edition-23.Q4-WinSvr2022-For-HIP.exe" -OutFile "${env:RUNNER_TEMP}\rocm-install.exe"
+          write-host "Installing AMD HIP"
+          Start-Process "${env:RUNNER_TEMP}\rocm-install.exe" -ArgumentList '-install' -NoNewWindow -Wait
+          write-host "Completed AMD HIP"
+      - name: 'Verify ROCm'
+        run: |
+          & 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' --version
+      - run: go get ./...
+      - run: |
+          $gopath=(get-command go).source | split-path -parent
+          & "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\Common7\Tools\Launch-VsDevShell.ps1"
+          cd $env:GITHUB_WORKSPACE
+          $env:CMAKE_SYSTEM_VERSION="10.0.22621.0"
+          $env:PATH="$gopath;$env:PATH"
+          $env:OLLAMA_SKIP_CPU_GENERATE="1"
+          $env:HIP_PATH=$(Resolve-Path 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | split-path | split-path)
+          go generate -x ./...
+        name: go generate
+        env:
+          OLLAMA_SKIP_CPU_GENERATE: '1'
+      # TODO - do we need any artifacts?
+
+  # CUDA generation step
+  generate-windows-cuda:
+    needs: [changes]
+    if: ${{ needs.changes.outputs.GENERATE_CUDA == 'True' }}
+    runs-on: windows
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-go@v5
+        with:
+          go-version-file: go.mod
+          cache: true
+      - name: 'Install CUDA'
+        run: |
+          $ErrorActionPreference = "Stop"
+          write-host "downloading CUDA Installer"
+          Invoke-WebRequest -Uri "https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.89_win10.exe" -OutFile "${env:RUNNER_TEMP}\cuda-install.exe"
+          write-host "Installing CUDA"
+          Start-Process "${env:RUNNER_TEMP}\cuda-install.exe" -ArgumentList '-s' -NoNewWindow -Wait
+          write-host "Completed CUDA"
+          $cudaPath=((resolve-path "c:\Program Files\NVIDIA*\CUDA\v*\bin\nvcc.exe")[0].path | split-path | split-path)
+          $cudaVer=($cudaPath | split-path -leaf ) -replace 'v(\d+).(\d+)', '$1_$2' 
+          echo "$cudaPath\bin" >> $env:GITHUB_PATH
+          echo "CUDA_PATH=$cudaPath" >> $env:GITHUB_ENV
+          echo "CUDA_PATH_V${cudaVer}=$cudaPath" >> $env:GITHUB_ENV
+          echo "CUDA_PATH_VX_Y=CUDA_PATH_V${cudaVer}" >> $env:GITHUB_ENV
+      - name: 'Verify CUDA'
+        run: nvcc -V
+      - run: go get ./...
+      - name: go generate
+        run: |
+          $gopath=(get-command go).source | split-path -parent
+          $cudabin=(get-command nvcc).source | split-path
+          & "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\Common7\Tools\Launch-VsDevShell.ps1"
+          cd $env:GITHUB_WORKSPACE
+          $env:CMAKE_SYSTEM_VERSION="10.0.22621.0"
+          $env:PATH="$gopath;$cudabin;$env:PATH"
+          $env:OLLAMA_SKIP_CPU_GENERATE="1"
+          go generate -x ./...
+        env:
+          OLLAMA_SKIP_CPU_GENERATE: '1'
+      # TODO - do we need any artifacts?
+
   lint:
     strategy:
       matrix:
@@ -125,24 +237,31 @@ jobs:
           submodules: recursive
       - uses: actions/setup-go@v5
         with:
-          go-version: '1.22'
+          go-version-file: go.mod
           cache: false
       - run: |
-          mkdir -p llm/llama.cpp/build/linux/${{ matrix.arch }}/stub/lib/
-          touch llm/llama.cpp/build/linux/${{ matrix.arch }}/stub/lib/stub.so
+          case ${{ matrix.arch }} in
+            amd64) echo ARCH=x86_64 ;;
+            arm64) echo ARCH=arm64 ;;
+          esac >>$GITHUB_ENV
+        shell: bash
+      - run: |
+          mkdir -p llm/build/linux/$ARCH/stub/bin
+          touch llm/build/linux/$ARCH/stub/bin/ollama_llama_server
         if: ${{ startsWith(matrix.os, 'ubuntu-') }}
       - run: |
-          mkdir -p llm/llama.cpp/build/darwin/${{ matrix.arch }}/stub/lib/
-          touch llm/llama.cpp/build/darwin/${{ matrix.arch }}/stub/lib/stub.dylib
-          touch llm/llama.cpp/ggml-metal.metal
+          mkdir -p llm/build/darwin/$ARCH/stub/bin
+          touch llm/build/darwin/$ARCH/stub/bin/ollama_llama_server
         if: ${{ startsWith(matrix.os, 'macos-') }}
       - run: |
-          mkdir -p llm/llama.cpp/build/windows/${{ matrix.arch }}/stub/lib/
-          touch llm/llama.cpp/build/windows/${{ matrix.arch }}/stub/lib/stub.dll
+          mkdir -p llm/build/windows/$ARCH/stub/bin
+          touch llm/build/windows/$ARCH/stub/bin/ollama_llama_server
         if: ${{ startsWith(matrix.os, 'windows-') }}
-      - uses: golangci/golangci-lint-action@v3
+        shell: bash
+      - uses: golangci/golangci-lint-action@v4
+        with:
+          args: --timeout 8m0s
   test:
-    needs: generate
     strategy:
       matrix:
         os: [ubuntu-latest, macos-latest, windows-2019]
@@ -156,19 +275,36 @@ jobs:
     env:
       GOARCH: ${{ matrix.arch }}
       CGO_ENABLED: '1'
+      OLLAMA_CPU_TARGET: 'static'
     steps:
       - uses: actions/checkout@v4
         with:
           submodules: recursive
       - uses: actions/setup-go@v5
         with:
-          go-version: '1.22'
+          go-version-file: go.mod
           cache: true
       - run: go get
-      - uses: actions/download-artifact@v4
-        with:
-          name: ${{ matrix.os }}-${{ matrix.arch }}-libraries
-          path: llm/llama.cpp/build
+      - run: |
+          case ${{ matrix.arch }} in
+            amd64) echo ARCH=x86_64 ;;
+            arm64) echo ARCH=arm64 ;;
+          esac >>$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: ${{ startsWith(matrix.os, 'macos-') }}
+      - run: |
+          mkdir -p llm/build/windows/$ARCH/stub/bin
+          touch llm/build/windows/$ARCH/stub/bin/ollama_llama_server
+        if: ${{ startsWith(matrix.os, 'windows-') }}
+        shell: bash
+      - run: go generate ./...
       - run: go build
       - run: go test -v ./...
       - uses: actions/upload-artifact@v4

.gitignore

@@ -10,4 +10,5 @@ ggml-metal.metal
 *.exe
 .idea
 test_data
-*.crt
+*.crt
+llm/build

.golangci.yaml

@@ -15,13 +15,3 @@ linters:
     - misspell
     - nilerr
     - unused
-linters-settings:
-  errcheck:
-    # exclude the following functions since we don't generally
-    # need to be concerned with the returned errors
-    exclude-functions:
-      - encoding/binary.Read
-      - (*os.File).Seek
-      - (*bufio.Writer).WriteString
-      - (*github.com/spf13/pflag.FlagSet).Set
-      - (*github.com/ollama/ollama/llm.readSeekOffset).Seek

Dockerfile

@@ -2,7 +2,7 @@ ARG GOLANG_VERSION=1.22.1
 ARG CMAKE_VERSION=3.22.1
 # this CUDA_VERSION corresponds with the one specified in docs/gpu.md
 ARG CUDA_VERSION=11.3.1
-ARG ROCM_VERSION=6.0
+ARG ROCM_VERSION=6.0.2
 
 # Copy the minimal context we need to run the generate scripts
 FROM scratch AS llm-code
@@ -61,6 +61,8 @@ ARG OLLAMA_CUSTOM_CPU_DEFS
 ARG CGO_CFLAGS
 WORKDIR /go/src/github.com/ollama/ollama/llm/generate
 
+FROM --platform=linux/amd64 cpu-builder-amd64 AS static-build-amd64
+RUN OLLAMA_CPU_TARGET="static" sh gen_linux.sh
 FROM --platform=linux/amd64 cpu-builder-amd64 AS cpu-build-amd64
 RUN OLLAMA_CPU_TARGET="cpu" sh gen_linux.sh
 FROM --platform=linux/amd64 cpu-builder-amd64 AS cpu_avx-build-amd64
@@ -68,28 +70,33 @@ RUN OLLAMA_CPU_TARGET="cpu_avx" sh gen_linux.sh
 FROM --platform=linux/amd64 cpu-builder-amd64 AS cpu_avx2-build-amd64
 RUN OLLAMA_CPU_TARGET="cpu_avx2" sh gen_linux.sh
 
-FROM --platform=linux/arm64 centos:7 AS cpu-build-arm64
+FROM --platform=linux/arm64 centos:7 AS cpu-builder-arm64
 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
 COPY --from=llm-code / /go/src/github.com/ollama/ollama/
-WORKDIR /go/src/github.com/ollama/ollama/llm/generate
-# Note, we only build the "base" CPU variant on arm since avx/avx2 are x86 features
 ARG OLLAMA_CUSTOM_CPU_DEFS
 ARG CGO_CFLAGS
+WORKDIR /go/src/github.com/ollama/ollama/llm/generate
+
+FROM --platform=linux/arm64 cpu-builder-arm64 AS static-build-arm64
+RUN OLLAMA_CPU_TARGET="static" sh gen_linux.sh
+FROM --platform=linux/arm64 cpu-builder-arm64 AS cpu-build-arm64
 RUN OLLAMA_CPU_TARGET="cpu" sh gen_linux.sh
 
+
 # Intermediate stage used for ./scripts/build_linux.sh
 FROM --platform=linux/amd64 cpu-build-amd64 AS build-amd64
 ENV CGO_ENABLED 1
 WORKDIR /go/src/github.com/ollama/ollama
 COPY . .
-COPY --from=cpu_avx-build-amd64 /go/src/github.com/ollama/ollama/llm/llama.cpp/build/linux/ llm/llama.cpp/build/linux/
-COPY --from=cpu_avx2-build-amd64 /go/src/github.com/ollama/ollama/llm/llama.cpp/build/linux/ llm/llama.cpp/build/linux/
-COPY --from=cuda-build-amd64 /go/src/github.com/ollama/ollama/llm/llama.cpp/build/linux/ llm/llama.cpp/build/linux/
-COPY --from=rocm-build-amd64 /go/src/github.com/ollama/ollama/llm/llama.cpp/build/linux/ llm/llama.cpp/build/linux/
+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=cuda-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/llm/build/linux/ llm/build/linux/
 COPY --from=rocm-build-amd64 /go/src/github.com/ollama/ollama/dist/deps/ ./dist/deps/
 ARG GOFLAGS
 ARG CGO_CFLAGS
@@ -101,8 +108,8 @@ ENV CGO_ENABLED 1
 ARG GOLANG_VERSION
 WORKDIR /go/src/github.com/ollama/ollama
 COPY . .
-COPY --from=cuda-build-arm64 /go/src/github.com/ollama/ollama/llm/llama.cpp/build/linux/ llm/llama.cpp/build/linux/
-RUN mkdir -p /go/src/github.com/ollama/ollama/dist/deps/
+COPY --from=static-build-arm64 /go/src/github.com/ollama/ollama/llm/build/linux/ llm/build/linux/
+COPY --from=cuda-build-arm64 /go/src/github.com/ollama/ollama/llm/build/linux/ llm/build/linux/
 ARG GOFLAGS
 ARG CGO_CFLAGS
 RUN go build -trimpath .

README.md

@@ -259,6 +259,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
 
 ### Web & Desktop
 
+- [Lollms-Webui](https://github.com/ParisNeo/lollms-webui)
 - [LibreChat](https://github.com/danny-avila/LibreChat)
 - [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt)
 - [Enchanted (macOS native)](https://github.com/AugustDev/enchanted)
@@ -289,6 +290,9 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [AnythingLLM (Docker + MacOs/Windows/Linux native app)](https://github.com/Mintplex-Labs/anything-llm)
 - [Ollama Basic Chat: Uses HyperDiv Reactive UI](https://github.com/rapidarchitect/ollama_basic_chat)
 - [Ollama-chats RPG](https://github.com/drazdra/ollama-chats)
+- [ChatOllama: Open Source Chatbot based on Ollama with Knowledge Bases](https://github.com/sugarforever/chat-ollama)
+- [CRAG Ollama Chat: Simple Web Search with Corrective RAG](https://github.com/Nagi-ovo/CRAG-Ollama-Chat)
+- [RAGFlow: Open-source Retrieval-Augmented Generation engine based on deep document understanding](https://github.com/infiniflow/ragflow)
 
 ### Terminal
 
@@ -313,6 +317,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
 ### Database
 
 - [MindsDB](https://github.com/mindsdb/mindsdb/blob/staging/mindsdb/integrations/handlers/ollama_handler/README.md)
+- [chromem-go](https://github.com/philippgille/chromem-go/blob/v0.5.0/embed_ollama.go) with [example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama)
 
 ### Package managers
 
@@ -371,3 +376,4 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [Wingman-AI](https://github.com/RussellCanfield/wingman-ai) (Copilot code and chat alternative using Ollama and HuggingFace)
 - [Page Assist](https://github.com/n4ze3m/page-assist) (Chrome Extension)
 - [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)

api/client.go

@@ -1,3 +1,9 @@
+// Package api implements the client-side API for code wishing to interact
+// with the ollama service. The methods of the [Client] type correspond to
+// the ollama REST API as described in https://github.com/ollama/ollama/blob/main/docs/api.md
+//
+// The ollama command-line client itself uses this package to interact with
+// the backend service.
 package api
 
 import (
@@ -5,7 +11,6 @@ import (
 	"bytes"
 	"context"
 	"encoding/json"
-	"errors"
 	"fmt"
 	"io"
 	"net"
@@ -19,6 +24,8 @@ import (
 	"github.com/ollama/ollama/version"
 )
 
+// Client encapsulates client state for interacting with the ollama
+// service. Use [ClientFromEnvironment] to create new Clients.
 type Client struct {
 	base *url.URL
 	http *http.Client
@@ -40,6 +47,15 @@ func checkError(resp *http.Response, body []byte) error {
 	return apiError
 }
 
+// ClientFromEnvironment creates a new [Client] using configuration from the
+// environment variable OLLAMA_HOST, which points to the network host and
+// port on which the ollama service is listenting. The format of this variable
+// is:
+//
+//	<scheme>://<host>:<port>
+//
+// If the variable is not specified, a default ollama host and port will be
+// used.
 func ClientFromEnvironment() (*Client, error) {
 	defaultPort := "11434"
 
@@ -191,8 +207,14 @@ func (c *Client) stream(ctx context.Context, method, path string, data any, fn f
 	return nil
 }
 
+// GenerateResponseFunc is a function that [Client.Generate] invokes every time
+// a response is received from the service. If this function returns an error,
+// [Client.Generate] will stop generating and return this error.
 type GenerateResponseFunc func(GenerateResponse) error
 
+// Generate generates a response for a given prompt. The req parameter should
+// be populated with prompt details. fn is called for each response (there may
+// be multiple responses, e.g. in case streaming is enabled).
 func (c *Client) Generate(ctx context.Context, req *GenerateRequest, fn GenerateResponseFunc) error {
 	return c.stream(ctx, http.MethodPost, "/api/generate", req, func(bts []byte) error {
 		var resp GenerateResponse
@@ -204,8 +226,15 @@ func (c *Client) Generate(ctx context.Context, req *GenerateRequest, fn Generate
 	})
 }
 
+// ChatResponseFunc is a function that [Client.Chat] invokes every time
+// a response is received from the service. If this function returns an error,
+// [Client.Chat] will stop generating and return this error.
 type ChatResponseFunc func(ChatResponse) error
 
+// Chat generates the next message in a chat. [ChatRequest] may contain a
+// sequence of messages which can be used to maintain chat history with a model.
+// fn is called for each response (there may be multiple responses, e.g. if case
+// streaming is enabled).
 func (c *Client) Chat(ctx context.Context, req *ChatRequest, fn ChatResponseFunc) error {
 	return c.stream(ctx, http.MethodPost, "/api/chat", req, func(bts []byte) error {
 		var resp ChatResponse
@@ -217,8 +246,14 @@ func (c *Client) Chat(ctx context.Context, req *ChatRequest, fn ChatResponseFunc
 	})
 }
 
+// PullProgressFunc is a function that [Client.Pull] invokes every time there
+// is progress with a "pull" request sent to the service. If this function
+// returns an error, [Client.Pull] will stop the process and return this error.
 type PullProgressFunc func(ProgressResponse) error
 
+// Pull downloads a model from the ollama library. fn is called each time
+// progress is made on the request and can be used to display a progress bar,
+// etc.
 func (c *Client) Pull(ctx context.Context, req *PullRequest, fn PullProgressFunc) error {
 	return c.stream(ctx, http.MethodPost, "/api/pull", req, func(bts []byte) error {
 		var resp ProgressResponse
@@ -301,18 +336,7 @@ func (c *Client) Embeddings(ctx context.Context, req *EmbeddingRequest) (*Embedd
 }
 
 func (c *Client) CreateBlob(ctx context.Context, digest string, r io.Reader) error {
-	if err := c.do(ctx, http.MethodHead, fmt.Sprintf("/api/blobs/%s", digest), nil, nil); err != nil {
-		var statusError StatusError
-		if !errors.As(err, &statusError) || statusError.StatusCode != http.StatusNotFound {
-			return err
-		}
-
-		if err := c.do(ctx, http.MethodPost, fmt.Sprintf("/api/blobs/%s", digest), r, nil); err != nil {
-			return err
-		}
-	}
-
-	return nil
+	return c.do(ctx, http.MethodPost, fmt.Sprintf("/api/blobs/%s", digest), r, nil)
 }
 
 func (c *Client) Version(ctx context.Context) (string, error) {

api/types.go

@@ -33,18 +33,46 @@ func (e StatusError) Error() string {
 
 type ImageData []byte
 
+// GenerateRequest describes a request sent by [Client.Generate]. While you
+// have to specify the Model and Prompt fields, all the other fields have
+// reasonable defaults for basic uses.
 type GenerateRequest struct {
-	Model     string      `json:"model"`
-	Prompt    string      `json:"prompt"`
-	System    string      `json:"system"`
-	Template  string      `json:"template"`
-	Context   []int       `json:"context,omitempty"`
-	Stream    *bool       `json:"stream,omitempty"`
-	Raw       bool        `json:"raw,omitempty"`
-	Format    string      `json:"format"`
-	KeepAlive *Duration   `json:"keep_alive,omitempty"`
-	Images    []ImageData `json:"images,omitempty"`
+	// Model is the model name; it should be a name familiar to Ollama from
+	// the library at https://ollama.com/library
+	Model string `json:"model"`
 
+	// Prompt is the textual prompt to send to the model.
+	Prompt string `json:"prompt"`
+
+	// System overrides the model's default system message/prompt.
+	System string `json:"system"`
+
+	// Template overrides the model's default prompt template.
+	Template string `json:"template"`
+
+	// Context is the context parameter returned from a previous call to
+	// Generate call. It can be used to keep a short conversational memory.
+	Context []int `json:"context,omitempty"`
+
+	// Stream specifies whether the response is streaming; it is true by default.
+	Stream *bool `json:"stream,omitempty"`
+
+	// Raw set to true means that no formatting will be applied to the prompt.
+	Raw bool `json:"raw,omitempty"`
+
+	// Format specifies the format to return a response in.
+	Format string `json:"format"`
+
+	// KeepAlive controls how long the model will stay loaded in memory following
+	// this request.
+	KeepAlive *Duration `json:"keep_alive,omitempty"`
+
+	// Images is an optional list of base64-encoded images accompanying this
+	// request, for multimodal models.
+	Images []ImageData `json:"images,omitempty"`
+
+	// Options lists model-specific options. For example, temperature can be
+	// set through this field, if the model supports it.
 	Options map[string]interface{} `json:"options"`
 }
 
@@ -109,21 +137,24 @@ type Options struct {
 
 // Runner options which must be set when the model is loaded into memory
 type Runner struct {
-	UseNUMA            bool    `json:"numa,omitempty"`
-	NumCtx             int     `json:"num_ctx,omitempty"`
-	NumBatch           int     `json:"num_batch,omitempty"`
-	NumGQA             int     `json:"num_gqa,omitempty"`
-	NumGPU             int     `json:"num_gpu,omitempty"`
-	MainGPU            int     `json:"main_gpu,omitempty"`
-	LowVRAM            bool    `json:"low_vram,omitempty"`
-	F16KV              bool    `json:"f16_kv,omitempty"`
-	LogitsAll          bool    `json:"logits_all,omitempty"`
-	VocabOnly          bool    `json:"vocab_only,omitempty"`
-	UseMMap            bool    `json:"use_mmap,omitempty"`
-	UseMLock           bool    `json:"use_mlock,omitempty"`
-	RopeFrequencyBase  float32 `json:"rope_frequency_base,omitempty"`
+	UseNUMA   bool `json:"numa,omitempty"`
+	NumCtx    int  `json:"num_ctx,omitempty"`
+	NumBatch  int  `json:"num_batch,omitempty"`
+	NumGQA    int  `json:"num_gqa,omitempty"`
+	NumGPU    int  `json:"num_gpu,omitempty"`
+	MainGPU   int  `json:"main_gpu,omitempty"`
+	LowVRAM   bool `json:"low_vram,omitempty"`
+	F16KV     bool `json:"f16_kv,omitempty"`
+	LogitsAll bool `json:"logits_all,omitempty"`
+	VocabOnly bool `json:"vocab_only,omitempty"`
+	UseMMap   bool `json:"use_mmap,omitempty"`
+	UseMLock  bool `json:"use_mlock,omitempty"`
+	NumThread int  `json:"num_thread,omitempty"`
+
+	// Unused: RopeFrequencyBase is ignored. Instead the value in the model will be used
+	RopeFrequencyBase float32 `json:"rope_frequency_base,omitempty"`
+	// Unused: RopeFrequencyScale is ignored. Instead the value in the model will be used
 	RopeFrequencyScale float32 `json:"rope_frequency_scale,omitempty"`
-	NumThread          int     `json:"num_thread,omitempty"`
 }
 
 type EmbeddingRequest struct {
@@ -139,10 +170,11 @@ type EmbeddingResponse struct {
 }
 
 type CreateRequest struct {
-	Model     string `json:"model"`
-	Path      string `json:"path"`
-	Modelfile string `json:"modelfile"`
-	Stream    *bool  `json:"stream,omitempty"`
+	Model        string `json:"model"`
+	Path         string `json:"path"`
+	Modelfile    string `json:"modelfile"`
+	Stream       *bool  `json:"stream,omitempty"`
+	Quantization string `json:"quantization,omitempty"`
 
 	// Name is deprecated, see Model
 	Name string `json:"name"`
@@ -382,18 +414,16 @@ func DefaultOptions() Options {
 
 		Runner: Runner{
 			// options set when the model is loaded
-			NumCtx:             2048,
-			RopeFrequencyBase:  10000.0,
-			RopeFrequencyScale: 1.0,
-			NumBatch:           512,
-			NumGPU:             -1, // -1 here indicates that NumGPU should be set dynamically
-			NumGQA:             1,
-			NumThread:          0, // let the runtime decide
-			LowVRAM:            false,
-			F16KV:              true,
-			UseMLock:           false,
-			UseMMap:            true,
-			UseNUMA:            false,
+			NumCtx:    2048,
+			NumBatch:  512,
+			NumGPU:    -1, // -1 here indicates that NumGPU should be set dynamically
+			NumGQA:    1,
+			NumThread: 0, // let the runtime decide
+			LowVRAM:   false,
+			F16KV:     true,
+			UseMLock:  false,
+			UseMMap:   true,
+			UseNUMA:   false,
 		},
 	}
 }

app/lifecycle/server.go

@@ -9,6 +9,7 @@ import (
 	"os"
 	"os/exec"
 	"path/filepath"
+	"syscall"
 	"time"
 
 	"github.com/ollama/ollama/api"
@@ -83,6 +84,28 @@ func SpawnServer(ctx context.Context, command string) (chan int, error) {
 		io.Copy(logFile, stderr) //nolint:errcheck
 	}()
 
+	// Re-wire context done behavior to attempt a graceful shutdown of the server
+	cmd.Cancel = func() error {
+		if cmd.Process != nil {
+			cmd.Process.Signal(os.Interrupt) //nolint:errcheck
+			tick := time.NewTicker(10 * time.Millisecond)
+			defer tick.Stop()
+			for {
+				select {
+				case <-tick.C:
+					// OS agnostic "is it still running"
+					if proc, err := os.FindProcess(int(cmd.Process.Pid)); err != nil || errors.Is(proc.Signal(syscall.Signal(0)), os.ErrProcessDone) {
+						return nil //nolint:nilerr
+					}
+				case <-time.After(5 * time.Second):
+					slog.Warn("graceful server shutdown timeout, killing", "pid", cmd.Process.Pid)
+					cmd.Process.Kill() //nolint:errcheck
+				}
+			}
+		}
+		return nil
+	}
+
 	// run the command and wait for it to finish
 	if err := cmd.Start(); err != nil {
 		return done, fmt.Errorf("failed to start server %w", err)
@@ -105,7 +128,7 @@ func SpawnServer(ctx context.Context, command string) (chan int, error) {
 
 			select {
 			case <-ctx.Done():
-				slog.Debug(fmt.Sprintf("server shutdown with exit code %d", code))
+				slog.Info(fmt.Sprintf("server shutdown with exit code %d", code))
 				done <- code
 				return
 			default:

app/tray/tray.go

@@ -24,10 +24,5 @@ func NewTray() (commontray.OllamaTray, error) {
 		return nil, fmt.Errorf("failed to load icon %s: %w", iconName, err)
 	}
 
-	tray, err := InitPlatformTray(icon, updateIcon)
-	if err != nil {
-		return nil, err
-	}
-
-	return tray, nil
+	return InitPlatformTray(icon, updateIcon)
 }

cmd/cmd.go

@@ -194,7 +194,9 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 		return nil
 	}
 
-	request := api.CreateRequest{Name: args[0], Modelfile: string(modelfile)}
+	quantization, _ := cmd.Flags().GetString("quantization")
+
+	request := api.CreateRequest{Name: args[0], Modelfile: string(modelfile), Quantization: quantization}
 	if err := client.Create(cmd.Context(), &request, fn); err != nil {
 		return err
 	}
@@ -213,7 +215,10 @@ func createBlob(cmd *cobra.Command, client *api.Client, path string) (string, er
 	if _, err := io.Copy(hash, bin); err != nil {
 		return "", err
 	}
-	bin.Seek(0, io.SeekStart)
+
+	if _, err := bin.Seek(0, io.SeekStart); err != nil {
+		return "", err
+	}
 
 	digest := fmt.Sprintf("sha256:%x", hash.Sum(nil))
 	if err = client.CreateBlob(cmd.Context(), digest, bin); err != nil {
@@ -223,6 +228,14 @@ func createBlob(cmd *cobra.Command, client *api.Client, path string) (string, er
 }
 
 func RunHandler(cmd *cobra.Command, args []string) error {
+	if os.Getenv("OLLAMA_MODELS") != "" {
+		return errors.New("OLLAMA_MODELS must only be set for 'ollama serve'")
+	}
+
+	if err := checkServerHeartbeat(cmd, args); err != nil {
+		return err
+	}
+
 	client, err := api.ClientFromEnvironment()
 	if err != nil {
 		return err
@@ -932,6 +945,7 @@ func NewCLI() *cobra.Command {
 	}
 
 	createCmd.Flags().StringP("file", "f", "Modelfile", "Name of the Modelfile (default \"Modelfile\")")
+	createCmd.Flags().StringP("quantization", "q", "", "Quantization level.")
 
 	showCmd := &cobra.Command{
 		Use:     "show MODEL",
@@ -948,11 +962,10 @@ func NewCLI() *cobra.Command {
 	showCmd.Flags().Bool("system", false, "Show system message of a model")
 
 	runCmd := &cobra.Command{
-		Use:     "run MODEL [PROMPT]",
-		Short:   "Run a model",
-		Args:    cobra.MinimumNArgs(1),
-		PreRunE: checkServerHeartbeat,
-		RunE:    RunHandler,
+		Use:   "run MODEL [PROMPT]",
+		Short: "Run a model",
+		Args:  cobra.MinimumNArgs(1),
+		RunE:  RunHandler,
 	}
 
 	runCmd.Flags().Bool("verbose", false, "Show timings for response")
@@ -973,6 +986,7 @@ Environment Variables:
     OLLAMA_ORIGINS      A comma separated list of allowed origins.
     OLLAMA_MODELS       The path to the models directory (default is "~/.ollama/models")
     OLLAMA_KEEP_ALIVE   The duration that models stay loaded in memory (default is "5m")
+    OLLAMA_DEBUG        Set to 1 to enable additional debug logging
 `)
 
 	pullCmd := &cobra.Command{

cmd/interactive.go

@@ -295,10 +295,14 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 					opts.WordWrap = false
 					fmt.Println("Set 'nowordwrap' mode.")
 				case "verbose":
-					cmd.Flags().Set("verbose", "true")
+					if err := cmd.Flags().Set("verbose", "true"); err != nil {
+						return err
+					}
 					fmt.Println("Set 'verbose' mode.")
 				case "quiet":
-					cmd.Flags().Set("verbose", "false")
+					if err := cmd.Flags().Set("verbose", "false"); err != nil {
+						return err
+					}
 					fmt.Println("Set 'quiet' mode.")
 				case "format":
 					if len(args) < 3 || args[2] != "json" {

convert/convert.go

@@ -13,7 +13,9 @@ import (
 	"regexp"
 	"slices"
 
+	"github.com/d4l3k/go-bfloat16"
 	"github.com/mitchellh/mapstructure"
+	"github.com/x448/float16"
 	"google.golang.org/protobuf/proto"
 
 	"github.com/ollama/ollama/convert/sentencepiece"
@@ -30,9 +32,17 @@ type Params struct {
 	AttentionHeads   int      `json:"num_attention_heads"` // n_head
 	KeyValHeads      int      `json:"num_key_value_heads"`
 	NormEPS          float64  `json:"rms_norm_eps"`
-	RopeFreqBase     float64  `json:"rope_theta"`
 	BoSTokenID       int      `json:"bos_token_id"`
 	EoSTokenID       int      `json:"eos_token_id"`
+	HeadDimension    int      `json:"head_dim"`
+	PaddingTokenID   int      `json:"pad_token_id"`
+
+	ByteOrder
+}
+
+type ByteOrder interface {
+	binary.ByteOrder
+	binary.AppendByteOrder
 }
 
 type MetaData struct {
@@ -41,27 +51,43 @@ type MetaData struct {
 	Offsets []int  `mapstructure:"data_offsets"`
 }
 
-func ReadSafeTensors(fn string, offset uint64) ([]llm.Tensor, uint64, error) {
+type ModelArch interface {
+	GetTensors() error
+	LoadVocab() error
+	WriteGGUF() (string, error)
+}
+
+type ModelData struct {
+	Path    string
+	Name    string
+	Params  *Params
+	Vocab   *Vocab
+	Tensors []llm.Tensor
+}
+
+func ReadSafeTensors(fn string, offset uint64, params *Params) ([]llm.Tensor, uint64, error) {
 	f, err := os.Open(fn)
 	if err != nil {
-		return []llm.Tensor{}, 0, err
+		return nil, 0, err
 	}
 	defer f.Close()
 
 	var jsonSize uint64
-	binary.Read(f, binary.LittleEndian, &jsonSize)
+	if err := binary.Read(f, binary.LittleEndian, &jsonSize); err != nil {
+		return nil, 0, err
+	}
 
 	buf := make([]byte, jsonSize)
 	_, err = io.ReadFull(f, buf)
 	if err != nil {
-		return []llm.Tensor{}, 0, err
+		return nil, 0, err
 	}
 
 	d := json.NewDecoder(bytes.NewBuffer(buf))
 	d.UseNumber()
 	var parsed map[string]interface{}
 	if err = d.Decode(&parsed); err != nil {
-		return []llm.Tensor{}, 0, err
+		return nil, 0, err
 	}
 
 	var keys []string
@@ -78,7 +104,7 @@ func ReadSafeTensors(fn string, offset uint64) ([]llm.Tensor, uint64, error) {
 		vals := parsed[k].(map[string]interface{})
 		var data MetaData
 		if err = mapstructure.Decode(vals, &data); err != nil {
-			return []llm.Tensor{}, 0, err
+			return nil, 0, err
 		}
 
 		var size uint64
@@ -100,7 +126,7 @@ func ReadSafeTensors(fn string, offset uint64) ([]llm.Tensor, uint64, error) {
 		ggufName, err := GetTensorName(k)
 		if err != nil {
 			slog.Error("%v", err)
-			return []llm.Tensor{}, 0, err
+			return nil, 0, err
 		}
 
 		shape := []uint64{0, 0, 0, 0}
@@ -109,14 +135,22 @@ func ReadSafeTensors(fn string, offset uint64) ([]llm.Tensor, uint64, error) {
 		}
 
 		t := llm.Tensor{
-			Name:          ggufName,
-			Kind:          kind,
-			Offset:        offset,
-			Shape:         shape[:],
-			FileName:      fn,
-			OffsetPadding: 8 + jsonSize,
-			FileOffsets:   []uint64{uint64(data.Offsets[0]), uint64(data.Offsets[1])},
+			Name:   ggufName,
+			Kind:   kind,
+			Offset: offset,
+			Shape:  shape[:],
 		}
+
+		t.WriterTo = safetensorWriterTo{
+			t:        &t,
+			params:   params,
+			bo:       params.ByteOrder,
+			filename: fn,
+			start:    uint64(data.Offsets[0]),
+			end:      uint64(data.Offsets[1]),
+			padding:  8 + jsonSize,
+		}
+
 		slog.Debug(fmt.Sprintf("%v", t))
 		tensors = append(tensors, t)
 		offset += size
@@ -124,21 +158,21 @@ func ReadSafeTensors(fn string, offset uint64) ([]llm.Tensor, uint64, error) {
 	return tensors, offset, nil
 }
 
-func GetSafeTensors(dirpath string) ([]llm.Tensor, error) {
+func GetSafeTensors(dirpath string, params *Params) ([]llm.Tensor, error) {
 	var tensors []llm.Tensor
 	files, err := filepath.Glob(filepath.Join(dirpath, "/model-*.safetensors"))
 	if err != nil {
-		return []llm.Tensor{}, err
+		return nil, err
 	}
 
 	var offset uint64
 	for _, f := range files {
 		var t []llm.Tensor
 		var err error
-		t, offset, err = ReadSafeTensors(f, offset)
+		t, offset, err = ReadSafeTensors(f, offset, params)
 		if err != nil {
 			slog.Error("%v", err)
-			return []llm.Tensor{}, err
+			return nil, err
 		}
 		tensors = append(tensors, t...)
 	}
@@ -160,6 +194,7 @@ func GetParams(dirpath string) (*Params, error) {
 		return nil, err
 	}
 
+	params.ByteOrder = binary.LittleEndian
 	return &params, nil
 }
 
@@ -171,7 +206,7 @@ type Vocab struct {
 	Types  []int32
 }
 
-func LoadTokens(dirpath string) (*Vocab, error) {
+func LoadSentencePieceTokens(dirpath string, vocabSize int) (*Vocab, error) {
 	slog.Info(fmt.Sprintf("reading vocab from %s", filepath.Join(dirpath, "tokenizer.model")))
 	in, err := os.ReadFile(filepath.Join(dirpath, "tokenizer.model"))
 	if err != nil {
@@ -196,6 +231,14 @@ func LoadTokens(dirpath string) (*Vocab, error) {
 		v.Tokens = append(v.Tokens, p.GetPiece())
 		v.Scores = append(v.Scores, p.GetScore())
 		t := p.GetType()
+		switch t {
+		case sentencepiece.ModelProto_SentencePiece_UNKNOWN:
+		case sentencepiece.ModelProto_SentencePiece_CONTROL:
+		case sentencepiece.ModelProto_SentencePiece_UNUSED:
+		case sentencepiece.ModelProto_SentencePiece_BYTE:
+		default:
+			t = sentencepiece.ModelProto_SentencePiece_NORMAL
+		}
 		v.Types = append(v.Types, int32(t))
 	}
 
@@ -243,6 +286,16 @@ func LoadTokens(dirpath string) (*Vocab, error) {
 	}
 	slog.Info(fmt.Sprintf("vocab size w/ extra tokens: %d", len(v.Tokens)))
 
+	if vocabSize > len(v.Tokens) {
+		missingTokens := vocabSize - len(v.Tokens)
+		slog.Warn(fmt.Sprintf("vocab is missing %d tokens", missingTokens))
+		for cnt := 0; cnt < missingTokens; cnt++ {
+			v.Tokens = append(v.Tokens, fmt.Sprintf("<dummy%05d>", cnt+1))
+			v.Scores = append(v.Scores, -1)
+			v.Types = append(v.Types, int32(llm.GGUFTokenUserDefined))
+		}
+	}
+
 	return v, nil
 }
 
@@ -279,53 +332,102 @@ func GetTensorName(n string) (string, error) {
 	return "", fmt.Errorf("couldn't find a layer name for '%s'", n)
 }
 
-func WriteGGUF(name string, tensors []llm.Tensor, params *Params, vocab *Vocab) (string, error) {
-	c := llm.ContainerGGUF{
-		ByteOrder: binary.LittleEndian,
-	}
+type safetensorWriterTo struct {
+	t *llm.Tensor
 
-	m := llm.NewGGUFModel(&c)
-	m.Tensors = tensors
-	m.KV["general.architecture"] = "llama"
-	m.KV["general.name"] = name
-	m.KV["llama.context_length"] = uint32(params.ContextSize)
-	m.KV["llama.embedding_length"] = uint32(params.HiddenSize)
-	m.KV["llama.block_count"] = uint32(params.HiddenLayers)
-	m.KV["llama.feed_forward_length"] = uint32(params.IntermediateSize)
-	m.KV["llama.rope.dimension_count"] = uint32(128)
-	m.KV["llama.attention.head_count"] = uint32(params.AttentionHeads)
-	m.KV["llama.attention.head_count_kv"] = uint32(params.KeyValHeads)
-	m.KV["llama.attention.layer_norm_rms_epsilon"] = float32(params.NormEPS)
-	m.KV["llama.rope.freq_base"] = float32(params.RopeFreqBase)
-	m.KV["general.file_type"] = uint32(1)
-	m.KV["tokenizer.ggml.model"] = "llama"
+	params *Params
+	bo     ByteOrder
 
-	m.KV["tokenizer.ggml.tokens"] = vocab.Tokens
-	m.KV["tokenizer.ggml.scores"] = vocab.Scores
-	m.KV["tokenizer.ggml.token_type"] = vocab.Types
+	filename string
 
-	m.KV["tokenizer.ggml.bos_token_id"] = uint32(params.BoSTokenID)
-	m.KV["tokenizer.ggml.eos_token_id"] = uint32(params.EoSTokenID)
-	m.KV["tokenizer.ggml.unknown_token_id"] = uint32(0)
-	m.KV["tokenizer.ggml.add_bos_token"] = true
-	m.KV["tokenizer.ggml.add_eos_token"] = false
+	start, end, padding uint64
+	handler             func(w io.Writer, r safetensorWriterTo, f *os.File) error
+}
 
-	// llamacpp sets the chat template, however we don't need to set it since we pass it in through a layer
-	// m.KV["tokenizer.chat_template"] = "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}" // XXX removeme
-
-	c.V3.NumTensor = uint64(len(tensors))
-	c.V3.NumKV = uint64(len(m.KV))
-
-	f, err := os.CreateTemp("", "ollama-gguf")
+func (r safetensorWriterTo) WriteTo(w io.Writer) (n int64, err error) {
+	f, err := os.Open(r.filename)
 	if err != nil {
-		return "", err
+		return 0, err
 	}
 	defer f.Close()
 
-	err = m.Encode(f)
-	if err != nil {
-		return "", err
+	if _, err = f.Seek(int64(r.padding+r.start), 0); err != nil {
+		return 0, err
 	}
 
-	return f.Name(), nil
+	// use the handler if one is present
+	if r.handler != nil {
+		return 0, r.handler(w, r, f)
+	}
+
+	remaining := r.end - r.start
+
+	bufSize := uint64(10240)
+	var finished bool
+	for {
+		data := make([]byte, min(bufSize, remaining))
+
+		b, err := io.ReadFull(f, data)
+		remaining -= uint64(b)
+
+		if err == io.EOF || remaining <= 0 {
+			finished = true
+		} else if err != nil {
+			return 0, err
+		}
+
+		// convert bfloat16 -> ieee float32
+		tDataF32 := bfloat16.DecodeFloat32(data)
+
+		switch r.t.Kind {
+		case 0:
+			if err := binary.Write(w, r.bo, tDataF32); err != nil {
+				return 0, err
+			}
+		case 1:
+			// convert float32 -> float16
+			tempBuf := make([]uint16, len(data)/2)
+			for cnt, v := range tDataF32 {
+				tDataF16 := float16.Fromfloat32(v)
+				tempBuf[cnt] = uint16(tDataF16)
+			}
+			if err := binary.Write(w, binary.LittleEndian, tempBuf); err != nil {
+				return 0, err
+			}
+		}
+		if finished {
+			break
+		}
+	}
+	return 0, nil
+}
+
+func GetModelArchFromParams(name, dirPath string, params *Params) (ModelArch, error) {
+	switch len(params.Architectures) {
+	case 0:
+		return nil, fmt.Errorf("No architecture specified to convert")
+	case 1:
+		switch params.Architectures[0] {
+		case "MistralForCausalLM":
+			return &MistralModel{
+				ModelData{
+					Name:   name,
+					Path:   dirPath,
+					Params: params,
+				},
+			}, nil
+		case "GemmaForCausalLM":
+			return &GemmaModel{
+				ModelData{
+					Name:   name,
+					Path:   dirPath,
+					Params: params,
+				},
+			}, nil
+		default:
+			return nil, fmt.Errorf("Models based on '%s' are not yet supported", params.Architectures[0])
+		}
+	}
+
+	return nil, fmt.Errorf("Unknown error")
 }

convert/gemma.go

@@ -0,0 +1,136 @@
+package convert
+
+import (
+	"encoding/binary"
+	"fmt"
+	"io"
+	"log/slog"
+	"os"
+	"strings"
+
+	"github.com/d4l3k/go-bfloat16"
+	"github.com/pdevine/tensor"
+	"github.com/pdevine/tensor/native"
+
+	"github.com/ollama/ollama/llm"
+)
+
+type GemmaModel struct {
+	ModelData
+}
+
+func gemmaLayerHandler(w io.Writer, r safetensorWriterTo, f *os.File) error {
+	slog.Debug(fmt.Sprintf("converting '%s'", r.t.Name))
+
+	data := make([]byte, r.end-r.start)
+	if err := binary.Read(f, r.bo, data); err != nil {
+		return err
+	}
+
+	tDataF32 := bfloat16.DecodeFloat32(data)
+
+	var err error
+	tDataF32, err = addOnes(tDataF32, int(r.t.Shape[0]))
+	if err != nil {
+		return err
+	}
+
+	if err := binary.Write(w, r.bo, tDataF32); err != nil {
+		return err
+	}
+	return nil
+}
+
+func addOnes(data []float32, vectorSize int) ([]float32, error) {
+	n := tensor.New(tensor.WithShape(vectorSize), tensor.WithBacking(data))
+	ones := tensor.Ones(tensor.Float32, vectorSize)
+
+	var err error
+	n, err = n.Add(ones)
+	if err != nil {
+		return []float32{}, err
+	}
+
+	newN, err := native.SelectF32(n, 0)
+	if err != nil {
+		return []float32{}, err
+	}
+
+	var fullTensor []float32
+	for _, v := range newN {
+		fullTensor = append(fullTensor, v...)
+	}
+
+	return fullTensor, nil
+}
+
+func (m *GemmaModel) GetTensors() error {
+	t, err := GetSafeTensors(m.Path, m.Params)
+	if err != nil {
+		return err
+	}
+
+	m.Tensors = []llm.Tensor{}
+
+	for _, l := range t {
+		if strings.HasSuffix(l.Name, "norm.weight") {
+			wt := l.WriterTo.(safetensorWriterTo)
+			wt.handler = gemmaLayerHandler
+			l.WriterTo = wt
+		}
+		m.Tensors = append(m.Tensors, l)
+	}
+
+	return nil
+}
+
+func (m *GemmaModel) LoadVocab() error {
+	v, err := LoadSentencePieceTokens(m.Path, m.Params.VocabSize)
+	if err != nil {
+		return err
+	}
+	m.Vocab = v
+	return nil
+}
+
+func (m *GemmaModel) WriteGGUF() (string, error) {
+	kv := llm.KV{
+		"general.architecture":                   "gemma",
+		"general.name":                           m.Name,
+		"gemma.context_length":                   uint32(m.Params.ContextSize),
+		"gemma.embedding_length":                 uint32(m.Params.HiddenSize),
+		"gemma.block_count":                      uint32(m.Params.HiddenLayers),
+		"gemma.feed_forward_length":              uint32(m.Params.IntermediateSize),
+		"gemma.attention.head_count":             uint32(m.Params.AttentionHeads),
+		"gemma.attention.head_count_kv":          uint32(m.Params.KeyValHeads),
+		"gemma.attention.layer_norm_rms_epsilon": float32(m.Params.NormEPS),
+		"gemma.attention.key_length":             uint32(m.Params.HeadDimension),
+		"gemma.attention.value_length":           uint32(m.Params.HeadDimension),
+		"general.file_type":                      uint32(1),
+		"tokenizer.ggml.model":                   "llama",
+
+		"tokenizer.ggml.tokens":     m.Vocab.Tokens,
+		"tokenizer.ggml.scores":     m.Vocab.Scores,
+		"tokenizer.ggml.token_type": m.Vocab.Types,
+
+		"tokenizer.ggml.bos_token_id":     uint32(m.Params.BoSTokenID),
+		"tokenizer.ggml.eos_token_id":     uint32(m.Params.EoSTokenID),
+		"tokenizer.ggml.padding_token_id": uint32(m.Params.PaddingTokenID),
+		"tokenizer.ggml.unknown_token_id": uint32(3),
+		"tokenizer.ggml.add_bos_token":    true,
+		"tokenizer.ggml.add_eos_token":    false,
+	}
+
+	f, err := os.CreateTemp("", "ollama-gguf")
+	if err != nil {
+		return "", err
+	}
+	defer f.Close()
+
+	mod := llm.NewGGUFV3(m.Params.ByteOrder)
+	if err := mod.Encode(f, kv, m.Tensors); err != nil {
+		return "", err
+	}
+
+	return f.Name(), nil
+}

convert/mistral.go

@@ -0,0 +1,173 @@
+package convert
+
+import (
+	"encoding/binary"
+	"fmt"
+	"io"
+	"os"
+	"regexp"
+	"strings"
+
+	"github.com/d4l3k/go-bfloat16"
+	"github.com/pdevine/tensor"
+	"github.com/pdevine/tensor/native"
+	"github.com/x448/float16"
+
+	"github.com/ollama/ollama/llm"
+)
+
+type MistralModel struct {
+	ModelData
+}
+
+func mistralLayerHandler(w io.Writer, r safetensorWriterTo, f *os.File) error {
+	layerSize := r.end - r.start
+
+	var err error
+	tData := make([]uint16, layerSize/2)
+	if err = binary.Read(f, r.bo, tData); err != nil {
+		return err
+	}
+
+	var heads uint32
+	if strings.Contains(r.t.Name, "attn_q") {
+		heads = uint32(r.params.AttentionHeads)
+	} else if strings.Contains(r.t.Name, "attn_k") {
+		heads = uint32(r.params.KeyValHeads)
+		if heads == 0 {
+			heads = uint32(r.params.AttentionHeads)
+		}
+	} else {
+		return fmt.Errorf("unknown layer type")
+	}
+
+	tData, err = repack(tData, int(heads), r.t.Shape)
+	if err != nil {
+		return err
+	}
+
+	var buf []byte
+	for _, n := range tData {
+		buf = r.bo.AppendUint16(buf, n)
+	}
+
+	tempBuf := make([]uint16, len(tData))
+	tDataF32 := bfloat16.DecodeFloat32(buf)
+	for cnt, v := range tDataF32 {
+		tDataF16 := float16.Fromfloat32(v)
+		tempBuf[cnt] = uint16(tDataF16)
+	}
+
+	if err = binary.Write(w, r.bo, tempBuf); err != nil {
+		return err
+	}
+	return nil
+}
+
+func repack(data []uint16, heads int, shape []uint64) ([]uint16, error) {
+	n := tensor.New(tensor.WithShape(int(shape[0]), int(shape[1])), tensor.WithBacking(data))
+	origShape := n.Shape().Clone()
+
+	// reshape the tensor and swap axes 1 and 2 to unpack the layer for gguf
+	if err := n.Reshape(heads, 2, origShape[0]/heads/2, origShape[1]); err != nil {
+		return nil, err
+	}
+
+	if err := n.T(0, 2, 1, 3); err != nil {
+		return nil, err
+	}
+
+	if err := n.Reshape(origShape...); err != nil {
+		return nil, err
+	}
+
+	if err := n.Transpose(); err != nil {
+		return nil, err
+	}
+	newN, err := native.SelectU16(n, 1)
+	if err != nil {
+		return nil, err
+	}
+
+	var fullTensor []uint16
+	for _, v := range newN {
+		fullTensor = append(fullTensor, v...)
+	}
+	return fullTensor, nil
+}
+
+func (m *MistralModel) GetTensors() error {
+	t, err := GetSafeTensors(m.Path, m.Params)
+	if err != nil {
+		return err
+	}
+
+	m.Tensors = []llm.Tensor{}
+
+	pattern := `^blk\.[0-9]+\.attn_(?P<layer>q|k)\.weight$`
+	re, err := regexp.Compile(pattern)
+	if err != nil {
+		return err
+	}
+
+	for _, l := range t {
+		matches := re.FindAllStringSubmatch(l.Name, -1)
+		if len(matches) > 0 {
+			wt := l.WriterTo.(safetensorWriterTo)
+			wt.handler = mistralLayerHandler
+			l.WriterTo = wt
+		}
+		m.Tensors = append(m.Tensors, l)
+	}
+
+	return nil
+}
+
+func (m *MistralModel) LoadVocab() error {
+	v, err := LoadSentencePieceTokens(m.Path, m.Params.VocabSize)
+	if err != nil {
+		return err
+	}
+	m.Vocab = v
+	return nil
+}
+
+func (m *MistralModel) WriteGGUF() (string, error) {
+	kv := llm.KV{
+		"general.architecture":                   "llama",
+		"general.name":                           m.Name,
+		"llama.context_length":                   uint32(m.Params.ContextSize),
+		"llama.embedding_length":                 uint32(m.Params.HiddenSize),
+		"llama.block_count":                      uint32(m.Params.HiddenLayers),
+		"llama.feed_forward_length":              uint32(m.Params.IntermediateSize),
+		"llama.rope.dimension_count":             uint32(m.Params.HiddenSize / m.Params.AttentionHeads),
+		"llama.attention.head_count":             uint32(m.Params.AttentionHeads),
+		"llama.attention.head_count_kv":          uint32(m.Params.KeyValHeads),
+		"llama.attention.layer_norm_rms_epsilon": float32(m.Params.NormEPS),
+		"general.file_type":                      uint32(1),
+		"tokenizer.ggml.model":                   "llama",
+
+		"tokenizer.ggml.tokens":     m.Vocab.Tokens,
+		"tokenizer.ggml.scores":     m.Vocab.Scores,
+		"tokenizer.ggml.token_type": m.Vocab.Types,
+
+		"tokenizer.ggml.bos_token_id":     uint32(m.Params.BoSTokenID),
+		"tokenizer.ggml.eos_token_id":     uint32(m.Params.EoSTokenID),
+		"tokenizer.ggml.add_bos_token":    true,
+		"tokenizer.ggml.add_eos_token":    false,
+		"tokenizer.ggml.unknown_token_id": uint32(0),
+	}
+
+	f, err := os.CreateTemp("", "ollama-gguf")
+	if err != nil {
+		return "", err
+	}
+	defer f.Close()
+
+	mod := llm.NewGGUFV3(m.Params.ByteOrder)
+	if err := mod.Encode(f, kv, m.Tensors); err != nil {
+		return "", err
+	}
+
+	return f.Name(), nil
+}

docs/api.md

@@ -394,7 +394,6 @@ Advanced parameters (optional):
 
 - `format`: the format to return a response in. Currently the only accepted value is `json`
 - `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
-- `template`: the prompt template to use (overrides what is defined in the `Modelfile`)
 - `stream`: if `false` the response will be returned as a single response object, rather than a stream of objects
 - `keep_alive`: controls how long the model will stay loaded into memory following the request (default: `5m`)
 

docs/modelfile.md

@@ -71,9 +71,12 @@ More examples are available in the [examples directory](../examples).
 
 There are two ways to view `Modelfile`s underlying the models in [ollama.com/library][1]:
 
-- Option 1: view a model's data:
-  1.  Go to a particular model page (e.g. https://ollama.com/library/llama2)
-  2.  There is a table that displays the model's different components 
+- Option 1: view a details page from a model's tags page:
+  1.  Go to a particular model's tags (e.g. https://ollama.com/library/llama2/tags)
+  2.  Click on a tag (e.g. https://ollama.com/library/llama2:13b)
+  3.  Scroll down to "Layers"
+      - Note: if the [`FROM` instruction](#from-required) is not present,
+        it means the model was created from a local file
 - Option 2: use `ollama show` to print the `Modelfile` for any local models like so:
 
   ```bash
@@ -212,6 +215,7 @@ MESSAGE <role> <message>
 | user      | An example message of what the user could have asked.        |
 | assistant | An example message of how the model should respond.          |
 
+
 #### Example conversation
 
 ```modelfile
@@ -223,6 +227,7 @@ MESSAGE user Is Ontario in Canada?
 MESSAGE assistant yes
 ```
 
+
 ## Notes
 
 - the **`Modelfile` is not case sensitive**. In the examples, uppercase instructions are used to make it easier to distinguish it from arguments.

docs/troubleshooting.md

@@ -76,3 +76,10 @@ install script which version to install.
 ```sh
 curl -fsSL https://ollama.com/install.sh | OLLAMA_VERSION="0.1.29" sh
 ```
+
+## Linux tmp noexec 
+
+If your system is configured with the "noexec" flag where Ollama stores its
+temporary executable files, you can specify an alternate location by setting
+OLLAMA_TMPDIR to a location writable by the user ollama runs as.  For example
+OLLAMA_TMPDIR=/usr/share/ollama/

examples/go-generate-streaming/main.go

@@ -0,0 +1,40 @@
+package main
+
+import (
+	"context"
+	"fmt"
+	"log"
+
+	"github.com/ollama/ollama/api"
+)
+
+func main() {
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		log.Fatal(err)
+	}
+
+	// By default, GenerateRequest is streaming.
+	req := &api.GenerateRequest{
+		Model:  "gemma",
+		Prompt: "how many planets are there?",
+	}
+
+	ctx := context.Background()
+	respFunc := func(resp api.GenerateResponse) error {
+		// Only print the response here; GenerateResponse has a number of other
+		// interesting fields you want to examine.
+
+		// In streaming mode, responses are partial so we call fmt.Print (and not
+		// Println) in order to avoid spurious newlines being introduced. The
+		// model will insert its own newlines if it wants.
+		fmt.Print(resp.Response)
+		return nil
+	}
+
+	err = client.Generate(ctx, req, respFunc)
+	if err != nil {
+		log.Fatal(err)
+	}
+	fmt.Println()
+}

examples/go-generate/main.go

@@ -0,0 +1,37 @@
+package main
+
+import (
+	"context"
+	"fmt"
+	"log"
+
+	"github.com/ollama/ollama/api"
+)
+
+func main() {
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		log.Fatal(err)
+	}
+
+	req := &api.GenerateRequest{
+		Model:  "gemma",
+		Prompt: "how many planets are there?",
+
+		// set streaming to false
+		Stream: new(bool),
+	}
+
+	ctx := context.Background()
+	respFunc := func(resp api.GenerateResponse) error {
+		// Only print the response here; GenerateResponse has a number of other
+		// interesting fields you want to examine.
+		fmt.Println(resp.Response)
+		return nil
+	}
+
+	err = client.Generate(ctx, req, respFunc)
+	if err != nil {
+		log.Fatal(err)
+	}
+}

format/bytes.go

@@ -6,11 +6,15 @@ import (
 )
 
 const (
-	Byte     = 1
+	Byte = 1
+
 	KiloByte = Byte * 1000
 	MegaByte = KiloByte * 1000
 	GigaByte = MegaByte * 1000
 	TeraByte = GigaByte * 1000
+
+	KibiByte = Byte * 1024
+	MebiByte = KibiByte * 1024
 )
 
 func HumanBytes(b int64) string {
@@ -45,3 +49,14 @@ func HumanBytes(b int64) string {
 		return fmt.Sprintf("%d %s", int(value), unit)
 	}
 }
+
+func HumanBytes2(b uint64) string {
+	switch {
+	case b >= MebiByte:
+		return fmt.Sprintf("%.1f MiB", float64(b)/MebiByte)
+	case b >= KibiByte:
+		return fmt.Sprintf("%.1f KiB", float64(b)/KibiByte)
+	default:
+		return fmt.Sprintf("%d B", b)
+	}
+}

go.mod

@@ -9,7 +9,7 @@ require (
 	github.com/d4l3k/go-bfloat16 v0.0.0-20211005043715-690c3bdd05f1
 	github.com/emirpasic/gods v1.18.1
 	github.com/gin-gonic/gin v1.9.1
-	github.com/golang/protobuf v1.5.0
+	github.com/golang/protobuf v1.5.0 // indirect
 	github.com/google/uuid v1.0.0
 	github.com/mitchellh/mapstructure v1.5.0
 	github.com/olekukonko/tablewriter v0.0.5

gpu/amd_linux.go

@@ -100,6 +100,8 @@ func AMDGetGPUInfo(resp *GpuInfo) {
 		return
 	}
 
+	updateLibPath(libDir)
+
 	gfxOverride := os.Getenv("HSA_OVERRIDE_GFX_VERSION")
 	if gfxOverride == "" {
 		supported, err := GetSupportedGFX(libDir)
@@ -113,7 +115,7 @@ func AMDGetGPUInfo(resp *GpuInfo) {
 			if !slices.Contains[[]string, string](supported, v.ToGFXString()) {
 				slog.Warn(fmt.Sprintf("amdgpu [%d] %s is not supported by %s %v", i, v.ToGFXString(), libDir, supported))
 				// TODO - consider discrete markdown just for ROCM troubleshooting?
-				slog.Warn("See https://github.com/ollama/ollama/blob/main/docs/troubleshooting.md for HSA_OVERRIDE_GFX_VERSION usage")
+				slog.Warn("See https://github.com/ollama/ollama/blob/main/docs/gpu.md#overrides for HSA_OVERRIDE_GFX_VERSION usage")
 				skip[i] = struct{}{}
 			} else {
 				slog.Info(fmt.Sprintf("amdgpu [%d] %s is supported", i, v.ToGFXString()))
@@ -143,6 +145,21 @@ func AMDGetGPUInfo(resp *GpuInfo) {
 	}
 }
 
+func updateLibPath(libDir string) {
+	ldPaths := []string{}
+	if val, ok := os.LookupEnv("LD_LIBRARY_PATH"); ok {
+		ldPaths = strings.Split(val, ":")
+	}
+	for _, d := range ldPaths {
+		if d == libDir {
+			return
+		}
+	}
+	val := strings.Join(append(ldPaths, libDir), ":")
+	slog.Debug("updated lib path", "LD_LIBRARY_PATH", val)
+	os.Setenv("LD_LIBRARY_PATH", val)
+}
+
 // Walk the sysfs nodes for the available GPUs and gather information from them
 // skipping over any devices in the skip map
 func amdProcMemLookup(resp *GpuInfo, skip map[int]interface{}, ids []int) {

gpu/assets.go

@@ -11,6 +11,7 @@ import (
 	"strings"
 	"sync"
 	"syscall"
+	"time"
 )
 
 var (
@@ -21,11 +22,20 @@ var (
 func PayloadsDir() (string, error) {
 	lock.Lock()
 	defer lock.Unlock()
+	var err error
 	if payloadsDir == "" {
 		cleanupTmpDirs()
-		tmpDir, err := os.MkdirTemp("", "ollama")
-		if err != nil {
-			return "", fmt.Errorf("failed to generate tmp dir: %w", err)
+		tmpDir := os.Getenv("OLLAMA_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, 0755)
+			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
@@ -84,7 +94,12 @@ func Cleanup() {
 		slog.Debug("cleaning up", "dir", tmpDir)
 		err := os.RemoveAll(tmpDir)
 		if err != nil {
-			slog.Warn("failed to clean up", "dir", tmpDir, "err", err)
+			// 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)
+			}
 		}
 	}
 }

gpu/gpu.go

@@ -20,6 +20,8 @@ import (
 	"strings"
 	"sync"
 	"unsafe"
+
+	"github.com/ollama/ollama/format"
 )
 
 type handles struct {
@@ -27,8 +29,12 @@ type handles struct {
 	cudart *C.cudart_handle_t
 }
 
+const (
+	cudaMinimumMemory = 457 * format.MebiByte
+	rocmMinimumMemory = 457 * format.MebiByte
+)
+
 var gpuMutex sync.Mutex
-var gpuHandles *handles = nil
 
 // With our current CUDA compile flags, older than 5.0 will not work properly
 var CudaComputeMin = [2]C.int{5, 0}
@@ -78,11 +84,11 @@ var CudartWindowsGlobs = []string{
 var CudaTegra string = os.Getenv("JETSON_JETPACK")
 
 // Note: gpuMutex must already be held
-func initGPUHandles() {
+func initGPUHandles() *handles {
 
 	// TODO - if the ollama build is CPU only, don't do these checks as they're irrelevant and confusing
 
-	gpuHandles = &handles{nil, nil}
+	gpuHandles := &handles{nil, nil}
 	var nvmlMgmtName string
 	var nvmlMgmtPatterns []string
 	var cudartMgmtName string
@@ -109,7 +115,7 @@ func initGPUHandles() {
 		}
 		cudartMgmtPatterns = append(cudartMgmtPatterns, CudartLinuxGlobs...)
 	default:
-		return
+		return gpuHandles
 	}
 
 	slog.Info("Detecting GPU type")
@@ -119,7 +125,7 @@ func initGPUHandles() {
 		if cudart != nil {
 			slog.Info("Nvidia GPU detected via cudart")
 			gpuHandles.cudart = cudart
-			return
+			return gpuHandles
 		}
 	}
 
@@ -130,10 +136,10 @@ func initGPUHandles() {
 		if nvml != nil {
 			slog.Info("Nvidia GPU detected via nvidia-ml")
 			gpuHandles.nvml = nvml
-			return
+			return gpuHandles
 		}
 	}
-
+	return gpuHandles
 }
 
 func GetGPUInfo() GpuInfo {
@@ -141,9 +147,16 @@ func GetGPUInfo() GpuInfo {
 	// GPUs so we can report warnings if we see Nvidia/AMD but fail to load the libraries
 	gpuMutex.Lock()
 	defer gpuMutex.Unlock()
-	if gpuHandles == nil {
-		initGPUHandles()
-	}
+
+	gpuHandles := initGPUHandles()
+	defer func() {
+		if gpuHandles.nvml != nil {
+			C.nvml_release(*gpuHandles.nvml)
+		}
+		if gpuHandles.cudart != nil {
+			C.cudart_release(*gpuHandles.cudart)
+		}
+	}()
 
 	// All our GPU builds on x86 have AVX enabled, so fallback to CPU if we don't detect at least AVX
 	cpuVariant := GetCPUVariant()
@@ -168,6 +181,7 @@ func GetGPUInfo() GpuInfo {
 			} else if cc.major > CudaComputeMin[0] || (cc.major == CudaComputeMin[0] && cc.minor >= CudaComputeMin[1]) {
 				slog.Info(fmt.Sprintf("[nvidia-ml] NVML CUDA Compute Capability detected: %d.%d", cc.major, cc.minor))
 				resp.Library = "cuda"
+				resp.MinimumMemory = cudaMinimumMemory
 			} else {
 				slog.Info(fmt.Sprintf("[nvidia-ml] CUDA GPU is too old. Falling back to CPU mode. Compute Capability detected: %d.%d", cc.major, cc.minor))
 			}
@@ -187,6 +201,7 @@ func GetGPUInfo() GpuInfo {
 			} else if cc.major > CudaComputeMin[0] || (cc.major == CudaComputeMin[0] && cc.minor >= CudaComputeMin[1]) {
 				slog.Info(fmt.Sprintf("[cudart] CUDART CUDA Compute Capability detected: %d.%d", cc.major, cc.minor))
 				resp.Library = "cuda"
+				resp.MinimumMemory = cudaMinimumMemory
 			} else {
 				slog.Info(fmt.Sprintf("[cudart] CUDA GPU is too old. Falling back to CPU mode. Compute Capability detected: %d.%d", cc.major, cc.minor))
 			}
@@ -194,6 +209,7 @@ func GetGPUInfo() GpuInfo {
 	} else {
 		AMDGetGPUInfo(&resp)
 		if resp.Library != "" {
+			resp.MinimumMemory = rocmMinimumMemory
 			return resp
 		}
 	}
@@ -227,7 +243,7 @@ func getCPUMem() (memInfo, error) {
 	return ret, nil
 }
 
-func CheckVRAM() (int64, error) {
+func CheckVRAM() (uint64, error) {
 	userLimit := os.Getenv("OLLAMA_MAX_VRAM")
 	if userLimit != "" {
 		avail, err := strconv.ParseInt(userLimit, 10, 64)
@@ -235,24 +251,11 @@ func CheckVRAM() (int64, error) {
 			return 0, fmt.Errorf("Invalid OLLAMA_MAX_VRAM setting %s: %s", userLimit, err)
 		}
 		slog.Info(fmt.Sprintf("user override OLLAMA_MAX_VRAM=%d", avail))
-		return avail, nil
+		return uint64(avail), nil
 	}
 	gpuInfo := GetGPUInfo()
 	if gpuInfo.FreeMemory > 0 && (gpuInfo.Library == "cuda" || gpuInfo.Library == "rocm") {
-		// leave 10% or 1024MiB of VRAM free per GPU to handle unaccounted for overhead
-		overhead := gpuInfo.FreeMemory / 10
-		gpus := uint64(gpuInfo.DeviceCount)
-		if overhead < gpus*1024*1024*1024 {
-			overhead = gpus * 1024 * 1024 * 1024
-		}
-		// Assigning full reported free memory for Tegras due to OS controlled caching.
-		if CudaTegra != "" {
-			// Setting overhead for non-Tegra devices
-			overhead = 0
-		}
-		avail := int64(gpuInfo.FreeMemory - overhead)
-		slog.Debug(fmt.Sprintf("%s detected %d devices with %dM available memory", gpuInfo.Library, gpuInfo.DeviceCount, avail/1024/1024))
-		return avail, nil
+		return gpuInfo.FreeMemory, nil
 	}
 
 	return 0, fmt.Errorf("no GPU detected") // TODO - better handling of CPU based memory determiniation

gpu/gpu_darwin.go

@@ -17,7 +17,7 @@ import (
 )
 
 // CheckVRAM returns the free VRAM in bytes on Linux machines with NVIDIA GPUs
-func CheckVRAM() (int64, error) {
+func CheckVRAM() (uint64, error) {
 	userLimit := os.Getenv("OLLAMA_MAX_VRAM")
 	if userLimit != "" {
 		avail, err := strconv.ParseInt(userLimit, 10, 64)
@@ -25,15 +25,14 @@ func CheckVRAM() (int64, error) {
 			return 0, fmt.Errorf("Invalid OLLAMA_MAX_VRAM setting %s: %s", userLimit, err)
 		}
 		slog.Info(fmt.Sprintf("user override OLLAMA_MAX_VRAM=%d", avail))
-		return avail, nil
+		return uint64(avail), nil
 	}
 
 	if runtime.GOARCH == "amd64" {
 		// gpu not supported, this may not be metal
 		return 0, nil
 	}
-	recommendedMaxVRAM := int64(C.getRecommendedMaxVRAM())
-	return recommendedMaxVRAM, nil
+	return uint64(C.getRecommendedMaxVRAM()), nil
 }
 
 func GetGPUInfo() GpuInfo {

gpu/gpu_info_cudart.c

@@ -62,6 +62,10 @@ void cudart_init(char *cudart_lib_path, cudart_init_resp_t *resp) {
     LOG(resp->ch.verbose, "cudaSetDevice err: %d\n", ret);
     UNLOAD_LIBRARY(resp->ch.handle);
     resp->ch.handle = NULL;
+    if (ret == CUDA_ERROR_INSUFFICIENT_DRIVER) {
+      resp->err = strdup("your nvidia driver is too old or missing, please upgrade to run ollama");
+      return;
+    }
     snprintf(buf, buflen, "cudart init failure: %d", ret);
     resp->err = strdup(buf);
     return;
@@ -187,4 +191,10 @@ void cudart_compute_capability(cudart_handle_t h, cudart_compute_capability_t *r
   }
 }
 
+void cudart_release(cudart_handle_t h) {
+  LOG(h.verbose, "releasing cudart library\n");
+  UNLOAD_LIBRARY(h.handle);
+  h.handle = NULL;
+}
+
 #endif  // __APPLE__

gpu/gpu_info_cudart.h

@@ -7,6 +7,7 @@
 typedef enum cudartReturn_enum {
   CUDART_SUCCESS = 0,
   CUDART_UNSUPPORTED = 1,
+  CUDA_ERROR_INSUFFICIENT_DRIVER = 35,
   // Other values omitted for now...
 } cudartReturn_t;
 
@@ -54,6 +55,7 @@ typedef struct cudart_compute_capability {
 void cudart_init(char *cudart_lib_path, cudart_init_resp_t *resp);
 void cudart_check_vram(cudart_handle_t ch, mem_info_t *resp);
 void cudart_compute_capability(cudart_handle_t th, cudart_compute_capability_t *cc);
+void cudart_release(cudart_handle_t ch);
 
 #endif  // __GPU_INFO_CUDART_H__
 #endif  // __APPLE__

gpu/gpu_info_nvml.c

@@ -211,4 +211,11 @@ void nvml_compute_capability(nvml_handle_t h, nvml_compute_capability_t *resp) {
     }
   }
 }
+
+void nvml_release(nvml_handle_t h) {
+  LOG(h.verbose, "releasing nvml library\n");
+  UNLOAD_LIBRARY(h.handle);
+  h.handle = NULL;
+}
+
 #endif  // __APPLE__

gpu/gpu_info_nvml.h

@@ -51,6 +51,7 @@ typedef struct nvml_compute_capability {
 void nvml_init(char *nvml_lib_path, nvml_init_resp_t *resp);
 void nvml_check_vram(nvml_handle_t ch, mem_info_t *resp);
 void nvml_compute_capability(nvml_handle_t ch, nvml_compute_capability_t *cc);
+void nvml_release(nvml_handle_t ch);
 
 #endif  // __GPU_INFO_NVML_H__
 #endif  // __APPLE__

gpu/types.go

@@ -14,6 +14,9 @@ type GpuInfo struct {
 	// Optional variant to select (e.g. versions, cpu feature flags)
 	Variant string `json:"variant,omitempty"`
 
+	// MinimumMemory represents the minimum memory required to use the GPU
+	MinimumMemory uint64 `json:"-"`
+
 	// TODO add other useful attributes about the card here for discovery information
 }
 

integration/basic_test.go

@@ -24,5 +24,5 @@ func TestOrcaMiniBlueSky(t *testing.T) {
 			"seed":        123,
 		},
 	}
-	GenerateTestHelper(ctx, t, &http.Client{}, req, []string{"rayleigh"})
+	GenerateTestHelper(ctx, t, &http.Client{}, req, []string{"rayleigh", "scattering"})
 }

integration/context_test.go

@@ -0,0 +1,29 @@
+//go:build integration
+
+package integration
+
+import (
+	"context"
+	"net/http"
+	"testing"
+	"time"
+
+	"github.com/ollama/ollama/api"
+)
+
+func TestContextExhaustion(t *testing.T) {
+	ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute) // TODO maybe shorter?
+	defer cancel()
+	// Set up the test data
+	req := api.GenerateRequest{
+		Model:  "llama2",
+		Prompt: "Write me a story with a ton of emojis?",
+		Stream: &stream,
+		Options: map[string]interface{}{
+			"temperature": 0,
+			"seed":        123,
+			"num_ctx":     128,
+		},
+	}
+	GenerateTestHelper(ctx, t, &http.Client{}, req, []string{"once", "upon", "lived"})
+}

integration/llm_test.go

@@ -15,10 +15,6 @@ import (
 // TODO - this would ideally be in the llm package, but that would require some refactoring of interfaces in the server
 //        package to avoid circular dependencies
 
-// WARNING - these tests will fail on mac if you don't manually copy ggml-metal.metal to this dir (./server)
-//
-// TODO - Fix this ^^
-
 var (
 	stream = false
 	req    = [2]api.GenerateRequest{

integration/utils_test.go

@@ -126,7 +126,7 @@ func StartServer(ctx context.Context, ollamaHost string) error {
 }
 
 func PullIfMissing(ctx context.Context, client *http.Client, scheme, testEndpoint, modelName string) error {
-	slog.Debug("checking status of model", "model", modelName)
+	slog.Info("checking status of model", "model", modelName)
 	showReq := &api.ShowRequest{Name: modelName}
 	requestJSON, err := json.Marshal(showReq)
 	if err != nil {
@@ -174,36 +174,51 @@ func PullIfMissing(ctx context.Context, client *http.Client, scheme, testEndpoin
 	return nil
 }
 
+var serverProcMutex sync.Mutex
+
 func GenerateTestHelper(ctx context.Context, t *testing.T, client *http.Client, genReq api.GenerateRequest, anyResp []string) {
+
+	// TODO maybe stuff in an init routine?
+	lifecycle.InitLogging()
+
 	requestJSON, err := json.Marshal(genReq)
 	if err != nil {
 		t.Fatalf("Error serializing request: %v", err)
 	}
 	defer func() {
-		if t.Failed() && os.Getenv("OLLAMA_TEST_EXISTING") == "" {
-			// TODO
-			fp, err := os.Open(lifecycle.ServerLogFile)
-			if err != nil {
-				slog.Error("failed to open server log", "logfile", lifecycle.ServerLogFile, "error", err)
-				return
+		if os.Getenv("OLLAMA_TEST_EXISTING") == "" {
+			defer serverProcMutex.Unlock()
+			if t.Failed() {
+				fp, err := os.Open(lifecycle.ServerLogFile)
+				if err != nil {
+					slog.Error("failed to open server log", "logfile", lifecycle.ServerLogFile, "error", err)
+					return
+				}
+				data, err := io.ReadAll(fp)
+				if err != nil {
+					slog.Error("failed to read server log", "logfile", lifecycle.ServerLogFile, "error", err)
+					return
+				}
+				slog.Warn("SERVER LOG FOLLOWS")
+				os.Stderr.Write(data)
+				slog.Warn("END OF SERVER")
 			}
-			data, err := io.ReadAll(fp)
-			if err != nil {
-				slog.Error("failed to read server log", "logfile", lifecycle.ServerLogFile, "error", err)
-				return
+			err = os.Remove(lifecycle.ServerLogFile)
+			if err != nil && !os.IsNotExist(err) {
+				slog.Warn("failed to cleanup", "logfile", lifecycle.ServerLogFile, "error", err)
 			}
-			slog.Warn("SERVER LOG FOLLOWS")
-			os.Stderr.Write(data)
-			slog.Warn("END OF SERVER")
-		}
-		err = os.Remove(lifecycle.ServerLogFile)
-		if err != nil && !os.IsNotExist(err) {
-			slog.Warn("failed to cleanup", "logfile", lifecycle.ServerLogFile, "error", err)
 		}
 	}()
 	scheme, testEndpoint := GetTestEndpoint()
 
 	if os.Getenv("OLLAMA_TEST_EXISTING") == "" {
+		serverProcMutex.Lock()
+		fp, err := os.CreateTemp("", "ollama-server-*.log")
+		if err != nil {
+			t.Fatalf("failed to generate log file: %s", err)
+		}
+		lifecycle.ServerLogFile = fp.Name()
+		fp.Close()
 		assert.NoError(t, StartServer(ctx, testEndpoint))
 	}
 

llm/dyn_ext_server.c

@@ -1,142 +0,0 @@
-#include "dyn_ext_server.h"
-
-#include <stdio.h>
-#include <string.h>
-
-#ifdef __linux__
-#include <dlfcn.h>
-#define LOAD_LIBRARY(lib, flags) dlopen(lib, flags)
-#define LOAD_SYMBOL(handle, sym) dlsym(handle, sym)
-#define LOAD_ERR() strdup(dlerror())
-#define UNLOAD_LIBRARY(handle) dlclose(handle)
-#elif _WIN32
-#include <windows.h>
-#define LOAD_LIBRARY(lib, flags) LoadLibrary(lib)
-#define LOAD_SYMBOL(handle, sym) GetProcAddress(handle, sym)
-#define UNLOAD_LIBRARY(handle) FreeLibrary(handle)
-#define LOAD_ERR() ({\
-  LPSTR messageBuffer = NULL; \
-  size_t size = FormatMessageA(FORMAT_MESSAGE_ALLOCATE_BUFFER | FORMAT_MESSAGE_FROM_SYSTEM | FORMAT_MESSAGE_IGNORE_INSERTS, \
-                                 NULL, GetLastError(), MAKELANGID(LANG_NEUTRAL, SUBLANG_DEFAULT), (LPSTR)&messageBuffer, 0, NULL); \
-  char *resp = strdup(messageBuffer); \
-  LocalFree(messageBuffer); \
-  resp; \
-})
-#else
-#include <dlfcn.h>
-#define LOAD_LIBRARY(lib, flags) dlopen(lib, flags)
-#define LOAD_SYMBOL(handle, sym) dlsym(handle, sym)
-#define LOAD_ERR() strdup(dlerror())
-#define UNLOAD_LIBRARY(handle) dlclose(handle)
-#endif
-
-void dyn_init(const char *libPath, struct dynamic_llama_server *s,
-                       ext_server_resp_t *err) {
-  int i = 0;
-  struct lookup {
-    char *s;
-    void **p;
-  } l[] = {
-      {"llama_server_init", (void *)&s->llama_server_init},
-      {"llama_server_start", (void *)&s->llama_server_start},
-      {"llama_server_stop", (void *)&s->llama_server_stop},
-      {"llama_server_completion", (void *)&s->llama_server_completion},
-      {"llama_server_completion_next_result",
-       (void *)&s->llama_server_completion_next_result},
-      {"llama_server_completion_cancel",
-       (void *)&s->llama_server_completion_cancel},
-      {"llama_server_release_task_result",
-       (void *)&s->llama_server_release_task_result},
-      {"llama_server_tokenize", (void *)&s->llama_server_tokenize},
-      {"llama_server_detokenize", (void *)&s->llama_server_detokenize},
-      {"llama_server_embedding", (void *)&s->llama_server_embedding},
-      {"llama_server_release_json_resp",
-       (void *)&s->llama_server_release_json_resp},
-      {"", NULL},
-  };
-
-  printf("loading library %s\n", libPath);
-  s->handle = LOAD_LIBRARY(libPath, RTLD_LOCAL|RTLD_NOW);
-  if (!s->handle) {
-    err->id = -1;
-    char *msg = LOAD_ERR();
-    snprintf(err->msg, err->msg_len,
-             "Unable to load dynamic server library: %s", msg);
-    free(msg);
-    return;
-  }
-
-  for (i = 0; l[i].p != NULL; i++) {
-    *l[i].p = LOAD_SYMBOL(s->handle, l[i].s);
-    if (!l[i].p) {
-      UNLOAD_LIBRARY(s->handle);
-      err->id = -1;
-      char *msg = LOAD_ERR();
-      snprintf(err->msg, err->msg_len, "symbol lookup for %s failed: %s",
-               l[i].s, msg);
-      free(msg);
-      return;
-    }
-  }
-}
-
-inline void dyn_llama_server_init(struct dynamic_llama_server s,
-                                           ext_server_params_t *sparams,
-                                           ext_server_resp_t *err) {
-  s.llama_server_init(sparams, err);
-}
-
-inline void dyn_llama_server_start(struct dynamic_llama_server s) {
-  s.llama_server_start();
-}
-
-inline void dyn_llama_server_stop(struct dynamic_llama_server s) {
-  s.llama_server_stop();
-}
-
-inline void dyn_llama_server_completion(struct dynamic_llama_server s,
-                                                 const char *json_req,
-                                                 ext_server_resp_t *resp) {
-  s.llama_server_completion(json_req, resp);
-}
-
-inline void dyn_llama_server_completion_next_result(
-    struct dynamic_llama_server s, const int task_id,
-    ext_server_task_result_t *result) {
-  s.llama_server_completion_next_result(task_id, result);
-}
-
-inline void dyn_llama_server_completion_cancel(
-    struct dynamic_llama_server s, const int task_id, ext_server_resp_t *err) {
-  s.llama_server_completion_cancel(task_id, err);
-}
-inline void dyn_llama_server_release_task_result(
-    struct dynamic_llama_server s, ext_server_task_result_t *result) {
-  s.llama_server_release_task_result(result);
-}
-
-inline void dyn_llama_server_tokenize(struct dynamic_llama_server s,
-                                               const char *json_req,
-                                               char **json_resp,
-                                               ext_server_resp_t *err) {
-  s.llama_server_tokenize(json_req, json_resp, err);
-}
-
-inline void dyn_llama_server_detokenize(struct dynamic_llama_server s,
-                                                 const char *json_req,
-                                                 char **json_resp,
-                                                 ext_server_resp_t *err) {
-  s.llama_server_detokenize(json_req, json_resp, err);
-}
-
-inline void dyn_llama_server_embedding(struct dynamic_llama_server s,
-                                                const char *json_req,
-                                                char **json_resp,
-                                                ext_server_resp_t *err) {
-  s.llama_server_embedding(json_req, json_resp, err);
-}
-
-inline void dyn_llama_server_release_json_resp(
-    struct dynamic_llama_server s, char **json_resp) {
-  s.llama_server_release_json_resp(json_resp);
-}

llm/dyn_ext_server.go

@@ -1,388 +0,0 @@
-package llm
-
-/*
-#cgo CFLAGS: -I${SRCDIR}/ext_server -I${SRCDIR}/llama.cpp -I${SRCDIR}/llama.cpp/common -I${SRCDIR}/llama.cpp/examples/server
-#cgo CFLAGS: -DNDEBUG -DLLAMA_SERVER_LIBRARY=1 -D_XOPEN_SOURCE=600 -DACCELERATE_NEW_LAPACK -DACCELERATE_LAPACK_ILP64
-#cgo CFLAGS: -Wmissing-noreturn -Wextra -Wcast-qual -Wno-unused-function -Wno-array-bounds
-#cgo CPPFLAGS: -Ofast -Wextra -Wno-unused-function -Wno-unused-variable -Wno-deprecated-declarations
-#cgo darwin CFLAGS: -D_DARWIN_C_SOURCE
-#cgo darwin CPPFLAGS:  -DGGML_USE_ACCELERATE
-#cgo darwin CPPFLAGS: -DGGML_USE_METAL -DGGML_METAL_NDEBUG
-#cgo darwin LDFLAGS: -lc++ -framework Accelerate
-#cgo darwin LDFLAGS: -framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders
-#cgo linux CFLAGS: -D_GNU_SOURCE
-#cgo linux LDFLAGS: -lrt -ldl -lstdc++ -lm
-#cgo linux windows LDFLAGS: -lpthread
-
-#include <stdlib.h>
-#include "dyn_ext_server.h"
-
-*/
-import "C"
-
-import (
-	"bytes"
-	"context"
-	"encoding/json"
-	"fmt"
-	"log/slog"
-	"os"
-	"path/filepath"
-	"strings"
-	"sync"
-	"time"
-	"unsafe"
-
-	"github.com/ollama/ollama/api"
-	"github.com/ollama/ollama/gpu"
-)
-
-type dynExtServer struct {
-	s       C.struct_dynamic_llama_server
-	options api.Options
-}
-
-// Note: current implementation does not support concurrent instantiations
-var mutex sync.Mutex
-
-func newExtServerResp(len C.size_t) C.ext_server_resp_t {
-	var resp C.ext_server_resp_t
-	resp.msg_len = len
-	bytes := make([]byte, len)
-	resp.msg = (*C.char)(C.CBytes(bytes))
-	return resp
-}
-
-func freeExtServerResp(resp C.ext_server_resp_t) {
-	if resp.msg_len == 0 {
-		return
-	}
-	C.free(unsafe.Pointer(resp.msg))
-}
-
-func extServerResponseToErr(resp C.ext_server_resp_t) error {
-	return fmt.Errorf(C.GoString(resp.msg))
-}
-
-func newDynExtServer(library, model string, adapters, projectors []string, opts api.Options) (LLM, error) {
-	if !mutex.TryLock() {
-		slog.Info("concurrent llm servers not yet supported, waiting for prior server to complete")
-		mutex.Lock()
-	}
-	gpu.UpdatePath(filepath.Dir(library))
-	libPath := C.CString(library)
-	defer C.free(unsafe.Pointer(libPath))
-	resp := newExtServerResp(512)
-	defer freeExtServerResp(resp)
-	var srv C.struct_dynamic_llama_server
-	C.dyn_init(libPath, &srv, &resp)
-	if resp.id < 0 {
-		mutex.Unlock()
-		return nil, fmt.Errorf("Unable to load dynamic library: %s", C.GoString(resp.msg))
-	}
-	llm := dynExtServer{
-		s:       srv,
-		options: opts,
-	}
-	slog.Info(fmt.Sprintf("Loading Dynamic llm server: %s", library))
-
-	var sparams C.ext_server_params_t
-	sparams.model = C.CString(model)
-	defer C.free(unsafe.Pointer(sparams.model))
-
-	sparams.embedding = true
-	sparams.n_ctx = C.uint(opts.NumCtx)
-	sparams.n_batch = C.uint(opts.NumBatch)
-	sparams.n_gpu_layers = C.int(opts.NumGPU)
-	sparams.main_gpu = C.int(opts.MainGPU)
-	sparams.n_parallel = 1 // TODO - wire up concurrency
-
-	// Always use the value encoded in the model
-	sparams.rope_freq_base = 0.0
-	sparams.rope_freq_scale = 0.0
-	sparams.memory_f16 = C.bool(opts.F16KV)
-	sparams.use_mlock = C.bool(opts.UseMLock)
-	sparams.use_mmap = C.bool(opts.UseMMap)
-
-	if opts.UseNUMA {
-		sparams.numa = C.int(1)
-	} else {
-		sparams.numa = C.int(0)
-	}
-
-	sparams.lora_adapters = nil
-	for i := 0; i < len(adapters); i++ {
-		la := (*C.ext_server_lora_adapter_t)(C.malloc(C.sizeof_ext_server_lora_adapter_t))
-		defer C.free(unsafe.Pointer(la))
-		la.adapter = C.CString(adapters[i])
-		defer C.free(unsafe.Pointer(la.adapter))
-		la.scale = C.float(1.0) // TODO expose scale/weights up through ollama UX
-		la.next = nil
-		if i == 0 {
-			sparams.lora_adapters = la
-		} else {
-			tmp := sparams.lora_adapters
-			for ; tmp.next != nil; tmp = tmp.next {
-			}
-			tmp.next = la
-		}
-	}
-
-	if len(projectors) > 0 {
-		// TODO: applying multiple projectors is not supported by the llama.cpp server yet
-		sparams.mmproj = C.CString(projectors[0])
-		defer C.free(unsafe.Pointer(sparams.mmproj))
-	} else {
-		sparams.mmproj = nil
-	}
-
-	sparams.n_threads = C.uint(opts.NumThread)
-
-	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
-		sparams.verbose_logging = C.bool(true)
-	} else {
-		sparams.verbose_logging = C.bool(false)
-	}
-
-	slog.Info("Initializing llama server")
-	slog.Debug(fmt.Sprintf("server params: %+v", sparams))
-	initResp := newExtServerResp(512)
-	defer freeExtServerResp(initResp)
-	C.dyn_llama_server_init(llm.s, &sparams, &initResp)
-	if initResp.id < 0 {
-		mutex.Unlock()
-		err := extServerResponseToErr(initResp)
-		slog.Debug(fmt.Sprintf("failure during initialization: %s", err))
-		return nil, err
-	}
-
-	slog.Info("Starting llama main loop")
-	C.dyn_llama_server_start(llm.s)
-	return &llm, nil
-}
-
-func (llm *dynExtServer) Predict(ctx context.Context, predict PredictOpts, fn func(PredictResult)) error {
-	resp := newExtServerResp(128)
-	defer freeExtServerResp(resp)
-
-	if len(predict.Images) > 0 {
-		slog.Info(fmt.Sprintf("loaded %d images", len(predict.Images)))
-	}
-
-	request := map[string]any{
-		"prompt":            predict.Prompt,
-		"stream":            true,
-		"n_predict":         predict.Options.NumPredict,
-		"n_keep":            predict.Options.NumKeep,
-		"temperature":       predict.Options.Temperature,
-		"top_k":             predict.Options.TopK,
-		"top_p":             predict.Options.TopP,
-		"tfs_z":             predict.Options.TFSZ,
-		"typical_p":         predict.Options.TypicalP,
-		"repeat_last_n":     predict.Options.RepeatLastN,
-		"repeat_penalty":    predict.Options.RepeatPenalty,
-		"presence_penalty":  predict.Options.PresencePenalty,
-		"frequency_penalty": predict.Options.FrequencyPenalty,
-		"mirostat":          predict.Options.Mirostat,
-		"mirostat_tau":      predict.Options.MirostatTau,
-		"mirostat_eta":      predict.Options.MirostatEta,
-		"penalize_nl":       predict.Options.PenalizeNewline,
-		"seed":              predict.Options.Seed,
-		"stop":              predict.Options.Stop,
-		"image_data":        predict.Images,
-		"cache_prompt":      true,
-	}
-
-	if predict.Format == "json" {
-		request["grammar"] = jsonGrammar
-		if !strings.Contains(strings.ToLower(predict.Prompt), "json") {
-			slog.Warn("Prompt does not specify that the LLM should response in JSON, but JSON format is expected. For best results specify that JSON is expected in the system prompt.")
-		}
-	}
-
-	retryDelay := 100 * time.Microsecond
-	for retries := 0; retries < maxRetries; retries++ {
-		if retries > 0 {
-			time.Sleep(retryDelay) // wait before retrying
-			retryDelay *= 2        // exponential backoff
-		}
-
-		// Handling JSON marshaling with special characters unescaped.
-		buffer := &bytes.Buffer{}
-		enc := json.NewEncoder(buffer)
-		enc.SetEscapeHTML(false)
-
-		if err := enc.Encode(request); err != nil {
-			return fmt.Errorf("failed to marshal data: %w", err)
-		}
-
-		req := C.CString(buffer.String())
-		defer C.free(unsafe.Pointer(req))
-
-		C.dyn_llama_server_completion(llm.s, req, &resp)
-		if resp.id < 0 {
-			return extServerResponseToErr(resp)
-		}
-
-		retryNeeded := false
-		// keep track of the last token generated, this is used to abort if the model starts looping
-		var lastToken string
-		var tokenRepeat int
-	out:
-		for {
-			select {
-			case <-ctx.Done():
-				return cancelCompletion(llm, resp)
-			default:
-				var result C.ext_server_task_result_t
-				C.dyn_llama_server_completion_next_result(llm.s, resp.id, &result)
-				json_resp := C.GoString(result.json_resp)
-				C.dyn_llama_server_release_task_result(llm.s, &result)
-
-				var p prediction
-				if err := json.Unmarshal([]byte(json_resp), &p); err != nil {
-					C.dyn_llama_server_completion_cancel(llm.s, resp.id, &resp)
-					if resp.id < 0 {
-						return fmt.Errorf("error unmarshaling llm prediction response: %w and cancel %s", err, C.GoString(resp.msg))
-					} else {
-						return fmt.Errorf("error unmarshaling llm prediction response: %w", err)
-					}
-				}
-
-				if bool(result.error) && strings.Contains(json_resp, "slot unavailable") {
-					retryNeeded = true
-					// task will already be canceled
-					break out
-				}
-
-				switch {
-				case strings.TrimSpace(p.Content) == lastToken:
-					tokenRepeat++
-				default:
-					lastToken = strings.TrimSpace(p.Content)
-					tokenRepeat = 0
-				}
-
-				// 30 picked as an arbitrary max token repeat limit, modify as needed
-				if tokenRepeat > 30 {
-					slog.Debug("prediction aborted, token repeat limit reached")
-					return cancelCompletion(llm, resp)
-				}
-
-				if p.Content != "" {
-					fn(PredictResult{
-						Content: p.Content,
-					})
-				}
-
-				if p.Stop || bool(result.stop) {
-					fn(PredictResult{
-						Done:               true,
-						PromptEvalCount:    p.Timings.PromptN,
-						PromptEvalDuration: parseDurationMs(p.Timings.PromptMS),
-						EvalCount:          p.Timings.PredictedN,
-						EvalDuration:       parseDurationMs(p.Timings.PredictedMS),
-					})
-					return nil
-				}
-			}
-		}
-		if !retryNeeded {
-			return nil // success
-		}
-	}
-
-	// should never reach here ideally
-	return fmt.Errorf("max retries exceeded")
-}
-
-func cancelCompletion(llm *dynExtServer, resp C.ext_server_resp_t) error {
-	C.dyn_llama_server_completion_cancel(llm.s, resp.id, &resp)
-	if resp.id < 0 {
-		return extServerResponseToErr(resp)
-	} else {
-		return nil
-	}
-}
-
-func (llm *dynExtServer) Encode(ctx context.Context, prompt string) ([]int, error) {
-	data, err := json.Marshal(TokenizeRequest{Content: prompt})
-	if err != nil {
-		return nil, fmt.Errorf("marshaling encode data: %w", err)
-	}
-	req := C.CString(string(data))
-	defer C.free(unsafe.Pointer(req))
-	var json_resp *C.char
-	resp := newExtServerResp(128)
-	defer freeExtServerResp(resp)
-	C.dyn_llama_server_tokenize(llm.s, req, &json_resp, &resp)
-	if resp.id < 0 {
-		return nil, extServerResponseToErr(resp)
-	}
-	defer C.dyn_llama_server_release_json_resp(llm.s, &json_resp)
-
-	var encoded TokenizeResponse
-	if err2 := json.Unmarshal([]byte(C.GoString(json_resp)), &encoded); err2 != nil {
-		return nil, fmt.Errorf("unmarshal encode response: %w", err2)
-	}
-
-	return encoded.Tokens, err
-}
-
-func (llm *dynExtServer) Decode(ctx context.Context, tokens []int) (string, error) {
-	if len(tokens) == 0 {
-		return "", nil
-	}
-	data, err := json.Marshal(DetokenizeRequest{Tokens: tokens})
-	if err != nil {
-		return "", fmt.Errorf("marshaling decode data: %w", err)
-	}
-
-	req := C.CString(string(data))
-	defer C.free(unsafe.Pointer(req))
-	var json_resp *C.char
-	resp := newExtServerResp(128)
-	defer freeExtServerResp(resp)
-	C.dyn_llama_server_detokenize(llm.s, req, &json_resp, &resp)
-	if resp.id < 0 {
-		return "", extServerResponseToErr(resp)
-	}
-	defer C.dyn_llama_server_release_json_resp(llm.s, &json_resp)
-
-	var decoded DetokenizeResponse
-	if err2 := json.Unmarshal([]byte(C.GoString(json_resp)), &decoded); err2 != nil {
-		return "", fmt.Errorf("unmarshal encode response: %w", err2)
-	}
-
-	return decoded.Content, err
-}
-
-func (llm *dynExtServer) Embedding(ctx context.Context, input string) ([]float64, error) {
-	data, err := json.Marshal(TokenizeRequest{Content: input})
-	if err != nil {
-		return nil, fmt.Errorf("error marshaling embed data: %w", err)
-	}
-
-	req := C.CString(string(data))
-	defer C.free(unsafe.Pointer(req))
-	var json_resp *C.char
-	resp := newExtServerResp(128)
-	defer freeExtServerResp(resp)
-	C.dyn_llama_server_embedding(llm.s, req, &json_resp, &resp)
-	if resp.id < 0 {
-		return nil, extServerResponseToErr(resp)
-	}
-	defer C.dyn_llama_server_release_json_resp(llm.s, &json_resp)
-
-	var embedding EmbeddingResponse
-	if err := json.Unmarshal([]byte(C.GoString(json_resp)), &embedding); err != nil {
-		return nil, fmt.Errorf("unmarshal tokenize response: %w", err)
-	}
-
-	return embedding.Embedding, nil
-}
-
-func (llm *dynExtServer) Close() {
-	C.dyn_llama_server_stop(llm.s)
-	mutex.Unlock()
-}

llm/dyn_ext_server.h

@@ -1,74 +0,0 @@
-#include <stdlib.h>
-
-#include "ext_server.h"
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-struct dynamic_llama_server {
-  void *handle;
-  void (*llama_server_init)(ext_server_params_t *sparams,
-                            ext_server_resp_t *err);
-  void (*llama_server_start)();
-  void (*llama_server_stop)();
-  void (*llama_server_completion)(const char *json_req,
-                                  ext_server_resp_t *resp);
-  void (*llama_server_completion_next_result)(const int task_id,
-                                              ext_server_task_result_t *result);
-  void (*llama_server_completion_cancel)(const int task_id,
-                                         ext_server_resp_t *err);
-  void (*llama_server_release_task_result)(ext_server_task_result_t *result);
-  void (*llama_server_tokenize)(const char *json_req, char **json_resp,
-                                ext_server_resp_t *err);
-  void (*llama_server_detokenize)(const char *json_req, char **json_resp,
-                                  ext_server_resp_t *err);
-  void (*llama_server_embedding)(const char *json_req, char **json_resp,
-                                 ext_server_resp_t *err);
-  void (*llama_server_release_json_resp)(char **json_resp);
-};
-
-void dyn_init(const char *libPath, struct dynamic_llama_server *s,
-                       ext_server_resp_t *err);
-
-// No good way to call C function pointers from Go so inline the indirection
-void dyn_llama_server_init(struct dynamic_llama_server s,
-                                    ext_server_params_t *sparams,
-                                    ext_server_resp_t *err);
-
-void dyn_llama_server_start(struct dynamic_llama_server s);
-
-void dyn_llama_server_stop(struct dynamic_llama_server s);
-
-void dyn_llama_server_completion(struct dynamic_llama_server s,
-                                          const char *json_req,
-                                          ext_server_resp_t *resp);
-
-void dyn_llama_server_completion_next_result(
-    struct dynamic_llama_server s, const int task_id,
-    ext_server_task_result_t *result);
-
-void dyn_llama_server_completion_cancel(struct dynamic_llama_server s,
-                                                 const int task_id,
-                                                 ext_server_resp_t *err);
-
-void dyn_llama_server_release_task_result(
-    struct dynamic_llama_server s, ext_server_task_result_t *result);
-
-void dyn_llama_server_tokenize(struct dynamic_llama_server s,
-                                        const char *json_req, char **json_resp,
-                                        ext_server_resp_t *err);
-
-void dyn_llama_server_detokenize(struct dynamic_llama_server s,
-                                          const char *json_req,
-                                          char **json_resp,
-                                          ext_server_resp_t *err);
-
-void dyn_llama_server_embedding(struct dynamic_llama_server s,
-                                         const char *json_req, char **json_resp,
-                                         ext_server_resp_t *err);
-void dyn_llama_server_release_json_resp(struct dynamic_llama_server s,
-                                                 char **json_resp);
-
-#ifdef __cplusplus
-}
-#endif

llm/ext_server/CMakeLists.txt

@@ -1,21 +1,14 @@
 
-set(TARGET ext_server)
+set(TARGET ollama_llama_server)
 option(LLAMA_SERVER_VERBOSE "Build verbose logging option for Server" ON)
+include_directories(${CMAKE_CURRENT_SOURCE_DIR})
+add_executable(${TARGET} server.cpp utils.hpp json.hpp httplib.h)
+install(TARGETS ${TARGET} RUNTIME)
+target_compile_definitions(${TARGET} PRIVATE
+    SERVER_VERBOSE=$<BOOL:${LLAMA_SERVER_VERBOSE}>
+)
+target_link_libraries(${TARGET} PRIVATE common llava ${CMAKE_THREAD_LIBS_INIT})
 if (WIN32)
-    add_library(${TARGET} SHARED ext_server.cpp ../llama.cpp/llama.cpp)
-else()
-    add_library(${TARGET} STATIC ext_server.cpp ../llama.cpp/llama.cpp)
+    TARGET_LINK_LIBRARIES(${TARGET} PRIVATE ws2_32)
 endif()
-target_compile_features(${TARGET} PRIVATE cxx_std_11)
-target_compile_definitions(${TARGET} PUBLIC LLAMA_SERVER_LIBRARY=1)
-target_link_libraries(${TARGET} PRIVATE ggml llava common )
-set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
-target_compile_definitions(${TARGET} PRIVATE SERVER_VERBOSE=$<BOOL:${LLAMA_SERVER_VERBOSE}>)
-install(TARGETS ext_server LIBRARY)
-
-if (CUDAToolkit_FOUND)
-    target_include_directories(${TARGET} PRIVATE ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})
-    if (WIN32)
-        target_link_libraries(${TARGET} PRIVATE nvml)
-    endif()
-endif()
+target_compile_features(${TARGET} PRIVATE cxx_std_11)

llm/ext_server/README.md

@@ -1,18 +0,0 @@
-# Extern C Server
-
-This directory contains a thin facade we layer on top of the Llama.cpp server to
-expose `extern C` interfaces to access the functionality through direct API
-calls in-process.  The llama.cpp code uses compile time macros to configure GPU
-type along with other settings.  During the `go generate ./...` execution, the
-build will generate one or more copies of the llama.cpp `extern C` server based
-on what GPU libraries are detected to support multiple GPU types as well as CPU
-only support. The Ollama go build then embeds these different servers to support
-different GPUs and settings at runtime.
-
-If you are making changes to the code in this directory, make sure to disable
-caching during your go build to ensure you pick up your changes.  A typical
-iteration cycle from the top of the source tree looks like:
-
-```
-go generate ./... && go build -a .
-```

llm/ext_server/ext_server.cpp

@@ -1,377 +0,0 @@
-#include "ext_server.h"
-#include <atomic>
-
-// Necessary evil since the server types are not defined in a header
-#include "server.cpp"
-
-// Low level API access to verify GPU access
-#if defined(GGML_USE_CUBLAS)
-#if defined(GGML_USE_HIPBLAS)
-#include <hip/hip_runtime.h>
-#include <hipblas/hipblas.h>
-#include <hip/hip_fp16.h>
-#ifdef __HIP_PLATFORM_AMD__
-// for rocblas_initialize()
-#include "rocblas/rocblas.h"
-#endif // __HIP_PLATFORM_AMD__
-#define cudaGetDevice hipGetDevice
-#define cudaError_t hipError_t
-#define cudaSuccess hipSuccess
-#define cudaGetErrorString hipGetErrorString
-#else
-#include <cuda_runtime.h>
-#include <cublas_v2.h>
-#include <cuda_fp16.h>
-#endif // defined(GGML_USE_HIPBLAS)
-#endif // GGML_USE_CUBLAS
-
-// Expose the llama server as a callable extern "C" API
-llama_server_context *llama = NULL;
-std::thread ext_server_thread;
-bool shutting_down = false;
-std::atomic_int recv_counter;
-
-// RAII wrapper for tracking in-flight recv calls
-class atomicRecv {
-  public:
-    atomicRecv(std::atomic<int> &atomic) : atomic(atomic) {
-      ++this->atomic;
-    }
-    ~atomicRecv() {
-      --this->atomic;
-    }
-  private:
-    std::atomic<int> &atomic;
-};
- 
-void llama_server_init(ext_server_params *sparams, ext_server_resp_t *err) {
-  recv_counter = 0;
-  assert(err != NULL && sparams != NULL);
-  log_set_target(stderr);
-  if (!sparams->verbose_logging) {
-    server_verbose = true;
-    log_disable();
-  }
-
-  LOG_TEE("system info: %s\n", llama_print_system_info());
-  err->id = 0;
-  err->msg[0] = '\0';
-  try {
-    llama = new llama_server_context;
-    gpt_params params;
-    params.n_ctx = sparams->n_ctx;
-    params.n_batch = sparams->n_batch;
-    if (sparams->n_threads > 0) {
-      params.n_threads = sparams->n_threads;
-    }
-    params.n_parallel = sparams->n_parallel;
-    params.rope_freq_base = sparams->rope_freq_base;
-    params.rope_freq_scale = sparams->rope_freq_scale;
-
-    if (sparams->memory_f16) {
-      params.cache_type_k = "f16";
-      params.cache_type_v = "f16";
-    } else {
-      params.cache_type_k = "f32";
-      params.cache_type_v = "f32";
-    }
-
-    params.n_gpu_layers = sparams->n_gpu_layers;
-    params.main_gpu = sparams->main_gpu;
-    params.use_mlock = sparams->use_mlock;
-    params.use_mmap = sparams->use_mmap;
-    params.numa = (ggml_numa_strategy)sparams->numa;
-    params.embedding = sparams->embedding;
-    if (sparams->model != NULL) {
-      params.model = sparams->model;
-    }
-
-    if (sparams->lora_adapters != NULL) {
-      for (ext_server_lora_adapter *la = sparams->lora_adapters; la != NULL;
-          la = la->next) {
-        params.lora_adapter.push_back(std::make_tuple(la->adapter, la->scale));
-      }
-
-      params.use_mmap = false;
-    }
-
-    if (sparams->mmproj != NULL) {
-      params.mmproj = std::string(sparams->mmproj);
-    }
-
-#if defined(GGML_USE_CUBLAS)
-    // Before attempting to init the backend which will assert on error, verify the CUDA/ROCM GPU is accessible
-    LOG_TEE("Performing pre-initialization of GPU\n");
-    int id;
-    cudaError_t cudaErr = cudaGetDevice(&id);
-    if (cudaErr != cudaSuccess) {
-      err->id = -1;
-      snprintf(err->msg, err->msg_len, "Unable to init GPU: %s", cudaGetErrorString(cudaErr));
-      return;
-    }
-#endif
-
-    llama_backend_init();
-    llama_numa_init(params.numa);
-
-  if (!llama->load_model(params)) { 
-    // an error occurred that was not thrown
-    err->id = -1;
-    snprintf(err->msg, err->msg_len, "error loading model %s", params.model.c_str());
-    return;
-  }
-
-    llama->initialize();
-  } catch (std::exception &e) {
-    err->id = -1;
-    snprintf(err->msg, err->msg_len, "exception %s", e.what());
-  } catch (...) {
-    err->id = -1;
-    snprintf(err->msg, err->msg_len,
-             "Unknown exception initializing llama server");
-  }
-}
-
-void llama_server_start() {
-  assert(llama != NULL);
-  // TODO mutex to protect thread creation
-  ext_server_thread = std::thread([&]() {
-    try {
-      LOG_TEE("llama server main loop starting\n");
-      ggml_time_init();
-      llama->queue_tasks.on_new_task(std::bind(
-        &llama_server_context::process_single_task, llama, std::placeholders::_1));
-      llama->queue_tasks.on_finish_multitask(std::bind(
-        &llama_server_context::on_finish_multitask, llama, std::placeholders::_1));
-      llama->queue_tasks.on_run_slots(std::bind(
-        &llama_server_context::update_slots, llama));
-      llama->queue_results.on_multitask_update(std::bind(
-          &llama_server_queue::update_multitask,
-          &llama->queue_tasks,
-          std::placeholders::_1,
-          std::placeholders::_2,
-          std::placeholders::_3
-        ));
-      llama->queue_tasks.start_loop();
-    } catch (std::exception &e) {
-      LOG_TEE("caught exception in llama server main loop: %s\n", e.what());
-    } catch (...) {
-      LOG_TEE("caught unknown exception in llama server main loop\n");
-    }
-    LOG_TEE("\nllama server shutting down\n");
-    llama_backend_free();
-  });
-}
-
-void llama_server_stop() {
-  assert(llama != NULL);
-  // Shutdown any in-flight requests and block incoming requests.
-  LOG_TEE("\ninitiating shutdown - draining remaining tasks...\n");
-  shutting_down = true;
-
-  while (recv_counter.load() > 0) {
-    std::this_thread::sleep_for(std::chrono::milliseconds(50));
-  }
-
-  // This may take a while for any pending tasks to drain
-  // TODO - consider a timeout to cancel tasks if it's taking too long
-  llama->queue_tasks.terminate();
-  ext_server_thread.join();
-  delete llama;
-  llama = NULL;
-  LOG_TEE("llama server shutdown complete\n");
-  shutting_down = false;
-}
-
-void llama_server_completion(const char *json_req, ext_server_resp_t *resp) {
-  assert(llama != NULL && json_req != NULL && resp != NULL);
-  resp->id = -1;
-  resp->msg[0] = '\0';
-  try {
-    if (shutting_down) {
-      throw std::runtime_error("server shutting down");
-    }
-    json data = json::parse(json_req);
-    resp->id = llama->queue_tasks.get_new_id();
-    llama->queue_results.add_waiting_task_id(resp->id);
-    llama->request_completion(resp->id, data, false, false, -1);
-  } catch (std::exception &e) {
-    snprintf(resp->msg, resp->msg_len, "exception %s", e.what());
-  } catch (...) {
-    snprintf(resp->msg, resp->msg_len, "Unknown exception during completion");
-  }
-}
-
-void llama_server_completion_next_result(const int task_id,
-                                         ext_server_task_result_t *resp) {
-  assert(llama != NULL && resp != NULL);
-  resp->id = -1;
-  resp->stop = false;
-  resp->error = false;
-  resp->json_resp = NULL;
-  std::string result_json;
-  try {
-    atomicRecv ar(recv_counter);
-    task_result result = llama->queue_results.recv(task_id);
-    result_json =
-        result.result_json.dump(-1, ' ', false, json::error_handler_t::replace);
-    resp->id = result.id;
-    resp->stop = result.stop;
-    resp->error = result.error;
-    if (result.error) {
-      LOG_TEE("next result cancel on error\n");
-      llama->request_cancel(task_id);
-      LOG_TEE("next result removing waiting tak ID: %d\n", task_id);
-      llama->queue_results.remove_waiting_task_id(task_id);
-    } else if (result.stop) {
-      LOG_TEE("next result cancel on stop\n");
-      llama->request_cancel(task_id);
-      LOG_TEE("next result removing waiting task ID: %d\n", task_id);
-      llama->queue_results.remove_waiting_task_id(task_id);
-    } else if (shutting_down) {
-      LOG_TEE("aborting completion due to shutdown %d\n", task_id);
-      llama->request_cancel(task_id);
-      llama->queue_results.remove_waiting_task_id(task_id);
-      resp->stop = true;
-    }
-  } catch (std::exception &e) {
-    resp->error = true;
-    resp->id = -1;
-    result_json = "{\"error\":\"exception " + std::string(e.what()) + "\"}";
-    LOG_TEE("llama server completion exception %s\n", e.what());
-  } catch (...) {
-    resp->error = true;
-    resp->id = -1;
-    result_json = "{\"error\":\"Unknown exception during completion\"}";
-    LOG_TEE("llama server completion unknown exception\n");
-  }
-  const std::string::size_type size = result_json.size() + 1;
-  resp->json_resp = new char[size];
-  snprintf(resp->json_resp, size, "%s", result_json.c_str());
-}
-
-void llama_server_release_task_result(ext_server_task_result_t *result) {
-  if (result == NULL || result->json_resp == NULL) {
-    return;
-  }
-  delete[] result->json_resp;
-}
-
-void llama_server_completion_cancel(const int task_id, ext_server_resp_t *err) {
-  assert(llama != NULL && err != NULL);
-  err->id = 0;
-  err->msg[0] = '\0';
-  try {
-    llama->request_cancel(task_id);
-    llama->queue_results.remove_waiting_task_id(task_id);
-  } catch (std::exception &e) {
-    err->id = -1;
-    snprintf(err->msg, err->msg_len, "exception %s", e.what());
-  } catch (...) {
-    err->id = -1;
-    snprintf(err->msg, err->msg_len,
-             "Unknown exception completion cancel in llama server");
-  }
-}
-
-void llama_server_tokenize(const char *json_req, char **json_resp,
-                           ext_server_resp_t *err) {
-  assert(llama != NULL && json_req != NULL && json_resp != NULL && err != NULL);
-  *json_resp = NULL;
-  err->id = 0;
-  err->msg[0] = '\0';
-  try {
-    if (shutting_down) {
-      throw std::runtime_error("server shutting down");
-    }
-    const json body = json::parse(json_req);
-    std::vector<llama_token> tokens;
-    if (body.count("content") != 0) {
-      tokens = llama->tokenize(body["content"], false);
-    }
-    const json data = format_tokenizer_response(tokens);
-    std::string result_json = data.dump();
-    const std::string::size_type size = result_json.size() + 1;
-    *json_resp = new char[size];
-    snprintf(*json_resp, size, "%s", result_json.c_str());
-  } catch (std::exception &e) {
-    err->id = -1;
-    snprintf(err->msg, err->msg_len, "exception %s", e.what());
-  } catch (...) {
-    err->id = -1;
-    snprintf(err->msg, err->msg_len, "Unknown exception during tokenize");
-  }
-}
-
-void llama_server_release_json_resp(char **json_resp) {
-  if (json_resp == NULL || *json_resp == NULL) {
-    return;
-  }
-  delete[] *json_resp;
-}
-
-void llama_server_detokenize(const char *json_req, char **json_resp,
-                             ext_server_resp_t *err) {
-  assert(llama != NULL && json_req != NULL && json_resp != NULL && err != NULL);
-  *json_resp = NULL;
-  err->id = 0;
-  err->msg[0] = '\0';
-  try {
-    if (shutting_down) {
-      throw std::runtime_error("server shutting down");
-    }
-    const json body = json::parse(json_req);
-    std::string content;
-    if (body.count("tokens") != 0) {
-      const std::vector<llama_token> tokens = body["tokens"];
-      content = tokens_to_str(llama->ctx, tokens.cbegin(), tokens.cend());
-    }
-    const json data = format_detokenized_response(content);
-    std::string result_json = data.dump();
-    const std::string::size_type size = result_json.size() + 1;
-    *json_resp = new char[size];
-    snprintf(*json_resp, size, "%s", result_json.c_str());
-  } catch (std::exception &e) {
-    err->id = -1;
-    snprintf(err->msg, err->msg_len, "exception %s", e.what());
-  } catch (...) {
-    err->id = -1;
-    snprintf(err->msg, err->msg_len, "Unknown exception during detokenize");
-  }
-}
-
-void llama_server_embedding(const char *json_req, char **json_resp,
-                            ext_server_resp_t *err) {
-  assert(llama != NULL && json_req != NULL && json_resp != NULL && err != NULL);
-  *json_resp = NULL;
-  err->id = 0;
-  err->msg[0] = '\0';
-  try {
-    if (shutting_down) {
-      throw std::runtime_error("server shutting down");
-    }
-    const json body = json::parse(json_req);
-    json prompt;
-    if (body.count("content") != 0) {
-      prompt = body["content"];
-    } else {
-      prompt = "";
-    }
-    const int task_id = llama->queue_tasks.get_new_id();
-    llama->queue_results.add_waiting_task_id(task_id);
-    llama->request_completion(task_id, {{"prompt", prompt}, {"n_predict", 0}}, false, true, -1);
-    atomicRecv ar(recv_counter);
-    task_result result = llama->queue_results.recv(task_id);
-    std::string result_json = result.result_json.dump();
-    const std::string::size_type size = result_json.size() + 1;
-    *json_resp = new char[size];
-    snprintf(*json_resp, size, "%s", result_json.c_str());
-    llama->queue_results.remove_waiting_task_id(task_id);
-  } catch (std::exception &e) {
-    err->id = -1;
-    snprintf(err->msg, err->msg_len, "exception %s", e.what());
-  } catch (...) {
-    err->id = -1;
-    snprintf(err->msg, err->msg_len, "Unknown exception during embedding");
-  }
-}

llm/ext_server/ext_server.h

@@ -1,95 +0,0 @@
-#if defined(LLAMA_SERVER_LIBRARY)
-#ifndef LLAMA_SERVER_H
-#define LLAMA_SERVER_H
-#include <stdbool.h>
-#include <stddef.h>
-#include <stdint.h>
-#include <stdio.h>
-
-int __main(int argc, char **argv);
-
-// This exposes extern C entrypoints into the llama_server
-// To enable the server compile with LLAMA_SERVER_LIBRARY
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-typedef struct ext_server_resp {
-  int id;          // < 0 on error
-  size_t msg_len;  // caller must allocate msg and set msg_len
-  char *msg;
-} ext_server_resp_t;
-
-// Allocated and freed by caller
-typedef struct ext_server_lora_adapter {
-  char *adapter;
-  float scale;
-  struct ext_server_lora_adapter *next;
-} ext_server_lora_adapter_t;
-
-// Allocated and freed by caller
-typedef struct ext_server_params {
-  char *model;
-  uint32_t n_ctx;         // token context window, 0 = from model
-  uint32_t n_batch;       // prompt processing maximum batch size
-  uint32_t n_threads;     // number of threads to use for generation
-  int32_t n_parallel;     // number of parallel sequences to decodewra
-  float rope_freq_base;   // RoPE base frequency, 0 = from model
-  float rope_freq_scale;  // RoPE frequency scaling factor, 0 = from model
-  bool memory_f16;        // use f16 instead of f32 for memory kv
-  int32_t n_gpu_layers;  // number of layers to store in VRAM (-1 - use default)
-  int32_t main_gpu;      // the GPU that is used for scratch and small tensors
-  bool use_mlock;        // force system to keep model in RAM
-  bool use_mmap;         // use mmap if possible
-  int numa;              // attempt optimizations that help on some NUMA systems
-  bool embedding;        // get only sentence embedding
-  ext_server_lora_adapter_t *lora_adapters;
-  char *mmproj;
-  bool verbose_logging;  // Enable verbose logging of the server
-} ext_server_params_t;
-
-typedef struct ext_server_task_result {
-  int id;
-  bool stop;
-  bool error;
-  char *json_resp;  // null terminated, memory managed by ext_server
-} ext_server_task_result_t;
-
-// Initialize the server once per process
-// err->id = 0 for success and err->msg[0] = NULL
-// err->id != 0 for failure, and err->msg contains error message
-void llama_server_init(ext_server_params_t *sparams, ext_server_resp_t *err);
-
-// Run the main loop, called once per init
-void llama_server_start();
-// Stop the main loop and free up resources allocated in init and start.  Init
-// must be called again to reuse
-void llama_server_stop();
-
-// json_req null terminated string, memory managed by caller
-// resp->id >= 0 on success (task ID)
-// resp->id < 0 on error, and resp->msg contains error message
-void llama_server_completion(const char *json_req, ext_server_resp_t *resp);
-
-// Caller must call llama_server_release_task_result to free resp->json_resp
-void llama_server_completion_next_result(const int task_id,
-                                         ext_server_task_result_t *result);
-void llama_server_completion_cancel(const int task_id, ext_server_resp_t *err);
-void llama_server_release_task_result(ext_server_task_result_t *result);
-
-// Caller must call llama_server_releaes_json_resp to free json_resp if err.id <
-// 0
-void llama_server_tokenize(const char *json_req, char **json_resp,
-                           ext_server_resp_t *err);
-void llama_server_detokenize(const char *json_req, char **json_resp,
-                             ext_server_resp_t *err);
-void llama_server_embedding(const char *json_req, char **json_resp,
-                            ext_server_resp_t *err);
-void llama_server_release_json_resp(char **json_resp);
-
-#ifdef __cplusplus
-}
-#endif
-
-#endif
-#endif  // LLAMA_SERVER_LIBRARY

llm/ext_server/server.cpp

@@ -1007,13 +1007,15 @@ struct llama_server_context
                 slot.n_sent_text += result.text_to_send.size();
                 // add the token to slot queue and cache
             }
-            slot.add_token_string(result);
+
             if (slot.params.stream)
             {
                 send_partial_response(slot, result);
             }
         }
 
+        slot.add_token_string(result);
+
         if (incomplete)
         {
             slot.has_next_token = true;
@@ -2768,7 +2770,7 @@ inline void signal_handler(int signal) {
     shutdown_handler(signal);
 }
 
-int _main(int argc, char **argv)
+int main(int argc, char **argv)
 {
 #if SERVER_VERBOSE != 1
     log_disable();

llm/generate/gen_common.sh

@@ -14,7 +14,7 @@ init_vars() {
 
     LLAMACPP_DIR=../llama.cpp
     CMAKE_DEFS=""
-    CMAKE_TARGETS="--target ext_server"
+    CMAKE_TARGETS="--target ollama_llama_server"
     if echo "${CGO_CFLAGS}" | grep -- '-g' >/dev/null; then
         CMAKE_DEFS="-DCMAKE_BUILD_TYPE=RelWithDebInfo -DCMAKE_VERBOSE_MAKEFILE=on -DLLAMA_GPROF=on -DLLAMA_SERVER_VERBOSE=on ${CMAKE_DEFS}"
     else
@@ -81,27 +81,24 @@ apply_patches() {
 build() {
     cmake -S ${LLAMACPP_DIR} -B ${BUILD_DIR} ${CMAKE_DEFS}
     cmake --build ${BUILD_DIR} ${CMAKE_TARGETS} -j8
-    mkdir -p ${BUILD_DIR}/lib/
-    ls ${BUILD_DIR}
-    g++ -fPIC -g -shared -o ${BUILD_DIR}/lib/libext_server.${LIB_EXT} \
-        ${GCC_ARCH} \
-        ${WHOLE_ARCHIVE} ${BUILD_DIR}/ext_server/libext_server.a ${NO_WHOLE_ARCHIVE} \
-        ${BUILD_DIR}/common/libcommon.a \
-        ${BUILD_DIR}/libllama.a \
-        -Wl,-rpath,\$ORIGIN \
-        -lpthread -ldl -lm \
-        ${EXTRA_LIBS}
 }
 
-compress_libs() {
+compress() {
     echo "Compressing payloads to reduce overall binary size..."
     pids=""
-    rm -rf ${BUILD_DIR}/lib/*.${LIB_EXT}*.gz
-    for lib in ${BUILD_DIR}/lib/*.${LIB_EXT}* ; do
-        gzip -n --best -f ${lib} &
+    rm -rf ${BUILD_DIR}/bin/*.gz
+    for f in ${BUILD_DIR}/bin/* ; do
+        gzip -n --best -f ${f} &
         pids+=" $!"
     done
-    echo 
+    # check for lib directory
+    if [ -d ${BUILD_DIR}/lib ]; then
+        for f in ${BUILD_DIR}/lib/* ; do
+            gzip -n --best -f ${f} &
+            pids+=" $!"
+        done
+    fi
+    echo
     for pid in ${pids}; do
         wait $pid
     done

llm/generate/gen_darwin.sh

@@ -18,21 +18,31 @@ sign() {
     fi
 }
 
-COMMON_DARWIN_DEFS="-DCMAKE_OSX_DEPLOYMENT_TARGET=11.0 -DCMAKE_SYSTEM_NAME=Darwin"
+COMMON_DARWIN_DEFS="-DCMAKE_OSX_DEPLOYMENT_TARGET=11.3 -DLLAMA_METAL_MACOSX_VERSION_MIN=11.3 -DCMAKE_SYSTEM_NAME=Darwin -DLLAMA_METAL_EMBED_LIBRARY=on"
 
 case "${GOARCH}" in
 "amd64")
     COMMON_CPU_DEFS="${COMMON_DARWIN_DEFS} -DCMAKE_SYSTEM_PROCESSOR=${ARCH} -DCMAKE_OSX_ARCHITECTURES=${ARCH} -DLLAMA_METAL=off -DLLAMA_NATIVE=off"
 
+    # Static build for linking into the Go binary
+    init_vars
+    CMAKE_TARGETS="--target llama --target ggml"
+    CMAKE_DEFS="${COMMON_CPU_DEFS} -DBUILD_SHARED_LIBS=off -DLLAMA_ACCELERATE=off -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
+    BUILD_DIR="../build/darwin/${ARCH}_static"
+    echo "Building static library"
+    build
+
+
     #
     # CPU first for the default library, set up as lowest common denominator for maximum compatibility (including Rosetta)
     #
+    init_vars
     CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_ACCELERATE=off -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
-    BUILD_DIR="${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu"
+    BUILD_DIR="../build/darwin/${ARCH}/cpu"
     echo "Building LCD CPU"
     build
-    sign ${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu/lib/libext_server.dylib
-    compress_libs
+    sign ${BUILD_DIR}/bin/ollama_llama_server
+    compress
 
     #
     # ~2011 CPU Dynamic library with more capabilities turned on to optimize performance
@@ -40,11 +50,11 @@ case "${GOARCH}" in
     #
     init_vars
     CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_ACCELERATE=off -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
-    BUILD_DIR="${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu_avx"
+    BUILD_DIR="../build/darwin/${ARCH}/cpu_avx"
     echo "Building AVX CPU"
     build
-    sign ${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu_avx/lib/libext_server.dylib
-    compress_libs
+    sign ${BUILD_DIR}/bin/ollama_llama_server
+    compress
 
     #
     # ~2013 CPU Dynamic library
@@ -52,20 +62,30 @@ case "${GOARCH}" in
     #
     init_vars
     CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_ACCELERATE=on -DLLAMA_AVX=on -DLLAMA_AVX2=on -DLLAMA_AVX512=off -DLLAMA_FMA=on -DLLAMA_F16C=on ${CMAKE_DEFS}"
-    BUILD_DIR="${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu_avx2"
+    BUILD_DIR="../build/darwin/${ARCH}/cpu_avx2"
     echo "Building AVX2 CPU"
     EXTRA_LIBS="${EXTRA_LIBS} -framework Accelerate -framework Foundation"
     build
-    sign ${LLAMACPP_DIR}/build/darwin/${ARCH}/cpu_avx2/lib/libext_server.dylib
-    compress_libs
+    sign ${BUILD_DIR}/bin/ollama_llama_server
+    compress
     ;;
 "arm64")
-    CMAKE_DEFS="${COMMON_DARWIN_DEFS} -DLLAMA_METAL_EMBED_LIBRARY=on -DLLAMA_ACCELERATE=on -DCMAKE_SYSTEM_PROCESSOR=${ARCH} -DCMAKE_OSX_ARCHITECTURES=${ARCH} -DLLAMA_METAL=on ${CMAKE_DEFS}"
-    BUILD_DIR="${LLAMACPP_DIR}/build/darwin/${ARCH}/metal"
+
+    # Static build for linking into the Go binary
+    init_vars
+    CMAKE_TARGETS="--target llama --target ggml"
+    CMAKE_DEFS="-DCMAKE_OSX_DEPLOYMENT_TARGET=11.3 -DCMAKE_SYSTEM_NAME=Darwin -DBUILD_SHARED_LIBS=off -DCMAKE_SYSTEM_PROCESSOR=${ARCH} -DCMAKE_OSX_ARCHITECTURES=${ARCH} -DLLAMA_METAL=off -DLLAMA_ACCELERATE=off -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
+    BUILD_DIR="../build/darwin/${ARCH}_static"
+    echo "Building static library"
+    build
+
+    init_vars
+    CMAKE_DEFS="${COMMON_DARWIN_DEFS} -DLLAMA_ACCELERATE=on -DCMAKE_SYSTEM_PROCESSOR=${ARCH} -DCMAKE_OSX_ARCHITECTURES=${ARCH} -DLLAMA_METAL=on ${CMAKE_DEFS}"
+    BUILD_DIR="../build/darwin/${ARCH}/metal"
     EXTRA_LIBS="${EXTRA_LIBS} -framework Accelerate -framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders"
     build
-    sign ${LLAMACPP_DIR}/build/darwin/${ARCH}/metal/lib/libext_server.dylib
-    compress_libs
+    sign ${BUILD_DIR}/bin/ollama_llama_server
+    compress
     ;;
 *)
     echo "GOARCH must be set"
@@ -75,3 +95,4 @@ case "${GOARCH}" in
 esac
 
 cleanup
+echo "go generate completed.  LLM runners: $(cd ${BUILD_DIR}/..; echo *)"

llm/generate/gen_linux.sh

@@ -57,16 +57,31 @@ init_vars
 git_module_setup
 apply_patches
 
+
+init_vars
 if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
+
+    if [ -z "${OLLAMA_CPU_TARGET}" -o "${OLLAMA_CPU_TARGET}" = "static" ]; then
+        # Static build for linking into the Go binary
+        init_vars
+        CMAKE_TARGETS="--target llama --target ggml"
+        CMAKE_DEFS="-DBUILD_SHARED_LIBS=off -DLLAMA_NATIVE=off -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
+        BUILD_DIR="../build/linux/${ARCH}_static"
+        echo "Building static library"
+        build
+    fi
+
+
     # Users building from source can tune the exact flags we pass to cmake for configuring
     # llama.cpp, and we'll build only 1 CPU variant in that case as the default.
     if [ -n "${OLLAMA_CUSTOM_CPU_DEFS}" ]; then
+        init_vars
         echo "OLLAMA_CUSTOM_CPU_DEFS=\"${OLLAMA_CUSTOM_CPU_DEFS}\""
         CMAKE_DEFS="${OLLAMA_CUSTOM_CPU_DEFS} -DCMAKE_POSITION_INDEPENDENT_CODE=on ${CMAKE_DEFS}"
-        BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu"
+        BUILD_DIR="../build/linux/${ARCH}/cpu"
         echo "Building custom CPU"
         build
-        compress_libs
+        compress
     else
         # Darwin Rosetta x86 emulation does NOT support AVX, AVX2, AVX512
         # -DLLAMA_AVX -- 2011 Intel Sandy Bridge & AMD Bulldozer
@@ -83,11 +98,12 @@ if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
             #
             # CPU first for the default library, set up as lowest common denominator for maximum compatibility (including Rosetta)
             #
+            init_vars
             CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
-            BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu"
+            BUILD_DIR="../build/linux/${ARCH}/cpu"
             echo "Building LCD CPU"
             build
-            compress_libs
+            compress
         fi
 
         if [ "${ARCH}" == "x86_64" ]; then
@@ -101,10 +117,10 @@ if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
                 #
                 init_vars
                 CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
-                BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu_avx"
+                BUILD_DIR="../build/linux/${ARCH}/cpu_avx"
                 echo "Building AVX CPU"
                 build
-                compress_libs
+                compress
             fi
 
             if [ -z "${OLLAMA_CPU_TARGET}" -o "${OLLAMA_CPU_TARGET}" = "cpu_avx2" ]; then
@@ -114,10 +130,10 @@ if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
                 #
                 init_vars
                 CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=on -DLLAMA_AVX2=on -DLLAMA_AVX512=off -DLLAMA_FMA=on -DLLAMA_F16C=on ${CMAKE_DEFS}"
-                BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu_avx2"
+                BUILD_DIR="../build/linux/${ARCH}/cpu_avx2"
                 echo "Building AVX2 CPU"
                 build
-                compress_libs
+                compress
             fi
         fi
     fi
@@ -156,8 +172,8 @@ if [ -d "${CUDA_LIB_DIR}" ]; then
         # Disabling has minimal performance effect while maintaining compatibility. 
         ARM64_DEFS="-DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_CUDA_F16=off"
     fi
-    CMAKE_DEFS="-DLLAMA_CUBLAS=on -DLLAMA_CUDA_FORCE_MMQ=on -DCMAKE_CUDA_ARCHITECTURES=${CMAKE_CUDA_ARCHITECTURES} ${COMMON_CMAKE_DEFS} ${CMAKE_DEFS} ${ARM64_DEFS}"
-    BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cuda${CUDA_VARIANT}"
+    CMAKE_DEFS="-DLLAMA_CUDA=on -DLLAMA_CUDA_FORCE_MMQ=on -DCMAKE_CUDA_ARCHITECTURES=${CMAKE_CUDA_ARCHITECTURES} ${COMMON_CMAKE_DEFS} ${CMAKE_DEFS} ${ARM64_DEFS}"
+    BUILD_DIR="../build/linux/${ARCH}/cuda${CUDA_VARIANT}"
     EXTRA_LIBS="-L${CUDA_LIB_DIR} -lcudart -lcublas -lcublasLt -lcuda"
     build
 
@@ -165,20 +181,20 @@ if [ -d "${CUDA_LIB_DIR}" ]; then
     #
     # TODO - in the future we may shift to packaging these separately and conditionally
     #        downloading them in the install script.
-    DEPS="$(ldd ${BUILD_DIR}/lib/libext_server.so )"
+    DEPS="$(ldd ${BUILD_DIR}/bin/ollama_llama_server )"
     for lib in libcudart.so libcublas.so libcublasLt.so ; do
         DEP=$(echo "${DEPS}" | grep ${lib} | cut -f1 -d' ' | xargs || true)
         if [ -n "${DEP}" -a -e "${CUDA_LIB_DIR}/${DEP}" ]; then
-            cp "${CUDA_LIB_DIR}/${DEP}" "${BUILD_DIR}/lib/"
+            cp "${CUDA_LIB_DIR}/${DEP}" "${BUILD_DIR}/bin/"
         elif [ -e "${CUDA_LIB_DIR}/${lib}.${CUDA_MAJOR}" ]; then
-            cp "${CUDA_LIB_DIR}/${lib}.${CUDA_MAJOR}" "${BUILD_DIR}/lib/"
+            cp "${CUDA_LIB_DIR}/${lib}.${CUDA_MAJOR}" "${BUILD_DIR}/bin/"
         elif [ -e "${CUDART_LIB_DIR}/${lib}" ]; then
-            cp -d ${CUDART_LIB_DIR}/${lib}* "${BUILD_DIR}/lib/"
+            cp -d ${CUDART_LIB_DIR}/${lib}* "${BUILD_DIR}/bin/"
         else
-            cp -d "${CUDA_LIB_DIR}/${lib}*" "${BUILD_DIR}/lib/"
+            cp -d "${CUDA_LIB_DIR}/${lib}*" "${BUILD_DIR}/bin/"
         fi
     done
-    compress_libs
+    compress
 
 fi
 
@@ -201,23 +217,24 @@ if [ -d "${ROCM_PATH}" ]; then
     fi
     init_vars
     CMAKE_DEFS="${COMMON_CMAKE_DEFS} ${CMAKE_DEFS} -DLLAMA_HIPBLAS=on -DCMAKE_C_COMPILER=$ROCM_PATH/llvm/bin/clang -DCMAKE_CXX_COMPILER=$ROCM_PATH/llvm/bin/clang++ -DAMDGPU_TARGETS=$(amdGPUs) -DGPU_TARGETS=$(amdGPUs)"
-    BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/rocm${ROCM_VARIANT}"
+    BUILD_DIR="../build/linux/${ARCH}/rocm${ROCM_VARIANT}"
     EXTRA_LIBS="-L${ROCM_PATH}/lib -L/opt/amdgpu/lib/x86_64-linux-gnu/ -Wl,-rpath,\$ORIGIN/../../rocm/ -lhipblas -lrocblas -lamdhip64 -lrocsolver -lamd_comgr -lhsa-runtime64 -lrocsparse -ldrm -ldrm_amdgpu"
     build
 
     # Record the ROCM dependencies
-    rm -f "${BUILD_DIR}/lib/deps.txt"
-    touch "${BUILD_DIR}/lib/deps.txt"
-    for dep in $(ldd "${BUILD_DIR}/lib/libext_server.so" | grep "=>" | cut -f2 -d= | cut -f2 -d' ' | grep -e rocm -e amdgpu -e libtinfo ); do
-        echo "${dep}" >> "${BUILD_DIR}/lib/deps.txt"
+    rm -f "${BUILD_DIR}/bin/deps.txt"
+    touch "${BUILD_DIR}/bin/deps.txt"
+    for dep in $(ldd "${BUILD_DIR}/bin/ollama_llama_server" | grep "=>" | cut -f2 -d= | cut -f2 -d' ' | grep -e rocm -e amdgpu -e libtinfo ); do
+        echo "${dep}" >> "${BUILD_DIR}/bin/deps.txt"
     done
     # bomb out if for some reason we didn't get a few deps
-    if [ $(cat "${BUILD_DIR}/lib/deps.txt" | wc -l ) -lt 8 ] ; then
-        cat "${BUILD_DIR}/lib/deps.txt"
+    if [ $(cat "${BUILD_DIR}/bin/deps.txt" | wc -l ) -lt 8 ] ; then
+        cat "${BUILD_DIR}/bin/deps.txt"
         echo "ERROR: deps file short"
         exit 1
     fi
-    compress_libs
+    compress
 fi
 
 cleanup
+echo "go generate completed.  LLM runners: $(cd ${BUILD_DIR}/..; echo *)"

llm/generate/gen_windows.ps1

@@ -33,7 +33,7 @@ function init_vars {
         "-DBUILD_SHARED_LIBS=on",
         "-DLLAMA_NATIVE=off"
         )
-    $script:cmakeTargets = @("ext_server")
+    $script:cmakeTargets = @("ollama_llama_server")
     $script:ARCH = "amd64" # arm not yet supported.
     if ($env:CGO_CFLAGS -contains "-g") {
         $script:cmakeDefs += @("-DCMAKE_VERBOSE_MAKEFILE=on", "-DLLAMA_SERVER_VERBOSE=on", "-DCMAKE_BUILD_TYPE=RelWithDebInfo")
@@ -97,16 +97,14 @@ function apply_patches {
         }
 
         # Checkout each file
-        Set-Location -Path ${script:llamacppDir}
         foreach ($file in $filePaths) {
-            git checkout $file
+            git -C "${script:llamacppDir}" checkout $file
         }
     }
 
     # Apply each patch
     foreach ($patch in $patches) {
-        Set-Location -Path ${script:llamacppDir}
-        git apply $patch.FullName
+        git -C "${script:llamacppDir}" apply $patch.FullName
     }
 }
 
@@ -115,41 +113,41 @@ function build {
     & cmake --version
     & cmake -S "${script:llamacppDir}" -B $script:buildDir $script:cmakeDefs
     if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
-    write-host "building with: cmake --build $script:buildDir --config $script:config ($script:cmakeTargets | ForEach-Object { "--target", $_ })"
+    write-host "building with: cmake --build $script:buildDir --config $script:config $($script:cmakeTargets | ForEach-Object { `"--target`", $_ })"
     & cmake --build $script:buildDir --config $script:config ($script:cmakeTargets | ForEach-Object { "--target", $_ })
     if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
-}
-
-function install {
-    rm -ea 0 -recurse -force -path "${script:buildDir}/lib"
-    md "${script:buildDir}/lib" -ea 0 > $null
-    cp "${script:buildDir}/bin/${script:config}/ext_server.dll" "${script:buildDir}/lib"
-    cp "${script:buildDir}/bin/${script:config}/llama.dll" "${script:buildDir}/lib"
-    # Display the dll dependencies in the build log
-    if ($script:DUMPBIN -ne $null) {
-        & "$script:DUMPBIN" /dependents "${script:buildDir}/bin/${script:config}/ext_server.dll" | select-string ".dll"
+    # Rearrange output to be consistent between different generators
+    if ($null -ne ${script:config} -And (test-path -path "${script:buildDir}/bin/${script:config}" ) ) {
+        mv -force "${script:buildDir}/bin/${script:config}/*" "${script:buildDir}/bin/"
+        remove-item "${script:buildDir}/bin/${script:config}"
     }
 }
 
 function sign {
     if ("${env:KEY_CONTAINER}") {
-        write-host "Signing ${script:buildDir}/lib/*.dll"
-        foreach ($file in (get-childitem "${script:buildDir}/lib/*.dll")){
-            & "${script:SignTool}" sign /v /debug /fd sha256 /t http://timestamp.digicert.com /f "${script:OLLAMA_CERT}" `
+        write-host "Signing ${script:buildDir}/bin/*.exe  ${script:buildDir}/bin/*.dll"
+        foreach ($file in @(get-childitem "${script:buildDir}/bin/*.exe") + @(get-childitem "${script:buildDir}/bin/*.dll")){
+            & "${script:SignTool}" sign /v /fd sha256 /t http://timestamp.digicert.com /f "${script:OLLAMA_CERT}" `
                 /csp "Google Cloud KMS Provider" /kc "${env:KEY_CONTAINER}" $file
             if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
         }
     }
 }
 
-function compress_libs {
+function compress {
     if ($script:GZIP -eq $null) {
         write-host "gzip not installed, not compressing files"
         return
     }
+    write-host "Compressing binaries..."
+    $binaries = dir "${script:buildDir}/bin/*.exe"
+    foreach ($file in $binaries) {
+        & "$script:GZIP" --best -f $file
+    }
+
     write-host "Compressing dlls..."
-    $libs = dir "${script:buildDir}/lib/*.dll"
-    foreach ($file in $libs) {
+    $dlls = dir "${script:buildDir}/bin/*.dll"
+    foreach ($file in $dlls) {
         & "$script:GZIP" --best -f $file
     }
 }
@@ -164,14 +162,11 @@ function cleanup {
         }
 
         # Checkout each file
-        Set-Location -Path ${script:llamacppDir}
         foreach ($file in $filePaths) {            
-            git checkout $file
+            git -C "${script:llamacppDir}" checkout $file
         }
+        git -C "${script:llamacppDir}" checkout CMakeLists.txt
     }
-    Set-Location "${script:llamacppDir}/"
-    git checkout CMakeLists.txt
-
 }
 
 init_vars
@@ -179,7 +174,6 @@ git_module_setup
 apply_patches
 
 # -DLLAMA_AVX -- 2011 Intel Sandy Bridge & AMD Bulldozer
-# -DLLAMA_F16C -- 2012 Intel Ivy Bridge & AMD 2011 Bulldozer (No significant improvement over just AVX)
 # -DLLAMA_AVX2 -- 2013 Intel Haswell & 2015 AMD Excavator / 2017 AMD Zen
 # -DLLAMA_FMA (FMA3) -- 2013 Intel Haswell & 2012 AMD Piledriver
 
@@ -187,32 +181,54 @@ $script:commonCpuDefs = @("-DCMAKE_POSITION_INDEPENDENT_CODE=on")
 
 if ($null -eq ${env:OLLAMA_SKIP_CPU_GENERATE}) {
 
+# GCC build for direct linking into the Go binary
+init_vars
+# cmake will silently fallback to msvc compilers if mingw isn't in the path, so detect and fail fast
+# as we need this to be compiled by gcc for golang to be able to link with itx
+write-host "Checking for MinGW..."
+# error action ensures we exit on failure
+get-command gcc
+get-command mingw32-make
+$script:cmakeTargets = @("llama", "ggml")
+$script:cmakeDefs = @(
+    "-G", "MinGW Makefiles"
+    "-DCMAKE_C_COMPILER=gcc.exe",
+    "-DCMAKE_CXX_COMPILER=g++.exe",
+    "-DBUILD_SHARED_LIBS=off",
+    "-DLLAMA_NATIVE=off",
+    "-DLLAMA_AVX=off",
+    "-DLLAMA_AVX2=off",
+    "-DLLAMA_AVX512=off",
+    "-DLLAMA_F16C=off",
+    "-DLLAMA_FMA=off")
+$script:buildDir="../build/windows/${script:ARCH}_static"
+write-host "Building static library"
+build
+
+# remaining llama.cpp builds use MSVC 
     init_vars
     $script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DLLAMA_AVX=off", "-DLLAMA_AVX2=off", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=off", "-DLLAMA_F16C=off") + $script:cmakeDefs
-    $script:buildDir="${script:llamacppDir}/build/windows/${script:ARCH}/cpu"
+    $script:buildDir="../build/windows/${script:ARCH}/cpu"
     write-host "Building LCD CPU"
     build
-    install
     sign
-    compress_libs
+    compress
 
     init_vars
     $script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=off", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=off", "-DLLAMA_F16C=off") + $script:cmakeDefs
-    $script:buildDir="${script:llamacppDir}/build/windows/${script:ARCH}/cpu_avx"
+    $script:buildDir="../build/windows/${script:ARCH}/cpu_avx"
     write-host "Building AVX CPU"
     build
-    install
     sign
-    compress_libs
+    compress
 
     init_vars
     $script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=on", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=on", "-DLLAMA_F16C=on") + $script:cmakeDefs
-    $script:buildDir="${script:llamacppDir}/build/windows/${script:ARCH}/cpu_avx2"
+    $script:buildDir="../build/windows/${script:ARCH}/cpu_avx2"
     write-host "Building AVX2 CPU"
     build
-    install
     sign
-    compress_libs
+    compress
 } else {
     write-host "Skipping CPU generation step as requested"
 }
@@ -225,13 +241,11 @@ if ($null -ne $script:CUDA_LIB_DIR) {
         $script:CUDA_VARIANT="_"+$script:CUDA_VERSION
     }
     init_vars
-    $script:buildDir="${script:llamacppDir}/build/windows/${script:ARCH}/cuda$script:CUDA_VARIANT"
-    $script:cmakeDefs += @("-A", "x64", "-DLLAMA_CUBLAS=ON", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=off", "-DCUDAToolkit_INCLUDE_DIR=$script:CUDA_INCLUDE_DIR", "-DCMAKE_CUDA_ARCHITECTURES=${script:CMAKE_CUDA_ARCHITECTURES}")
-    write-host "Building CUDA"
+    $script:buildDir="../build/windows/${script:ARCH}/cuda$script:CUDA_VARIANT"
+    $script:cmakeDefs += @("-A", "x64", "-DLLAMA_CUDA=ON", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=off", "-DCUDAToolkit_INCLUDE_DIR=$script:CUDA_INCLUDE_DIR", "-DCMAKE_CUDA_ARCHITECTURES=${script:CMAKE_CUDA_ARCHITECTURES}")
     build
-    install
     sign
-    compress_libs
+    compress
 }
 
 if ($null -ne $env:HIP_PATH) {
@@ -241,12 +255,13 @@ if ($null -ne $env:HIP_PATH) {
     }
 
     init_vars
-    $script:buildDir="${script:llamacppDir}/build/windows/${script:ARCH}/rocm$script:ROCM_VARIANT"
+    $script:buildDir="../build/windows/${script:ARCH}/rocm$script:ROCM_VARIANT"
     $script:cmakeDefs += @(
         "-G", "Ninja", 
         "-DCMAKE_C_COMPILER=clang.exe",
         "-DCMAKE_CXX_COMPILER=clang++.exe",
         "-DLLAMA_HIPBLAS=on",
+        "-DHIP_PLATFORM=amd",
         "-DLLAMA_AVX=on",
         "-DLLAMA_AVX2=off",
         "-DCMAKE_POSITION_INDEPENDENT_CODE=on",
@@ -264,13 +279,13 @@ if ($null -ne $env:HIP_PATH) {
     build
     # Ninja doesn't prefix with config name
     ${script:config}=""
-    install
     if ($null -ne $script:DUMPBIN) {
-        & "$script:DUMPBIN" /dependents "${script:buildDir}/bin/${script:config}/ext_server.dll" | select-string ".dll"
+        & "$script:DUMPBIN" /dependents "${script:buildDir}/bin/ollama_llama_server.exe" | select-string ".dll"
     }
     sign
-    compress_libs
+    compress
 }
 
+
 cleanup
-write-host "`ngo generate completed.  LLM runners: $(get-childitem -path ${script:SRC_DIR}\llm\llama.cpp\build\windows\${script:ARCH})"
+write-host "`ngo generate completed.  LLM runners: $(get-childitem -path ${script:SRC_DIR}\llm\build\windows\${script:ARCH})"

llm/generate/generate_darwin.go

@@ -1,3 +1,3 @@
 package generate
 
-//go:generate sh ./gen_darwin.sh
+//go:generate bash ./gen_darwin.sh

llm/ggla.go

@@ -7,16 +7,18 @@ import (
 	"slices"
 )
 
-type ContainerGGLA struct {
+type containerGGLA struct {
 	version uint32
 }
 
-func (c *ContainerGGLA) Name() string {
+func (c *containerGGLA) Name() string {
 	return "ggla"
 }
 
-func (c *ContainerGGLA) Decode(rs io.ReadSeeker) (model, error) {
-	binary.Read(rs, binary.LittleEndian, &c.version)
+func (c *containerGGLA) Decode(rs io.ReadSeeker) (model, error) {
+	if err := binary.Read(rs, binary.LittleEndian, &c.version); err != nil {
+		return nil, err
+	}
 
 	switch c.version {
 	case 1:
@@ -24,37 +26,45 @@ func (c *ContainerGGLA) Decode(rs io.ReadSeeker) (model, error) {
 		return nil, errors.New("invalid version")
 	}
 
-	model := newModelGGLA(c)
+	model := newGGLA(c)
 	err := model.decode(rs)
 	return model, err
 }
 
-type ModelGGLA struct {
-	*ContainerGGLA
+type ggla struct {
+	*containerGGLA
 
 	kv      KV
-	tensors []Tensor
+	tensors []*Tensor
 }
 
-func newModelGGLA(container *ContainerGGLA) *ModelGGLA {
-	return &ModelGGLA{
-		ContainerGGLA: container,
+func newGGLA(container *containerGGLA) *ggla {
+	return &ggla{
+		containerGGLA: container,
 		kv:            make(KV),
 	}
 }
 
-func (m *ModelGGLA) decode(rs io.ReadSeeker) error {
+func (llm *ggla) KV() KV {
+	return llm.kv
+}
+
+func (llm *ggla) Tensors() Tensors {
+	return llm.tensors
+}
+
+func (llm *ggla) decode(rs io.ReadSeeker) error {
 	var r uint32
 	if err := binary.Read(rs, binary.LittleEndian, &r); err != nil {
 		return err
 	}
-	m.kv["r"] = r
+	llm.kv["r"] = r
 
 	var alpha uint32
 	if err := binary.Read(rs, binary.LittleEndian, &alpha); err != nil {
 		return err
 	}
-	m.kv["alpha"] = alpha
+	llm.kv["alpha"] = alpha
 
 	for {
 		var dims uint32
@@ -109,54 +119,10 @@ func (m *ModelGGLA) decode(rs io.ReadSeeker) error {
 
 		t.Offset = uint64(offset)
 
-		if _, err := rs.Seek(int64(t.Size()), io.SeekCurrent); err != nil {
+		if _, err := rs.Seek(int64(t.size()), io.SeekCurrent); err != nil {
 			return err
 		}
 
-		m.tensors = append(m.tensors, t)
+		llm.tensors = append(llm.tensors, &t)
 	}
 }
-
-func (m *ModelGGLA) KV() KV {
-	return m.kv
-}
-
-func (m *ModelGGLA) Tensor() []Tensor {
-	return m.tensors
-}
-
-func (*ModelGGLA) ModelFamily() string {
-	return "ggla"
-}
-
-func (*ModelGGLA) ModelType() string {
-	panic("not implemented")
-}
-
-func (*ModelGGLA) FileType() string {
-	panic("not implemented")
-}
-
-func (*ModelGGLA) NumLayers() uint32 {
-	panic("not implemented")
-}
-
-func (*ModelGGLA) NumGQA() uint32 {
-	panic("not implemented")
-}
-
-func (*ModelGGLA) NumEmbed() uint32 {
-	panic("not implemented")
-}
-
-func (*ModelGGLA) NumHead() uint32 {
-	panic("not implemented")
-}
-
-func (*ModelGGLA) NumHeadKv() uint32 {
-	panic("not implemented")
-}
-
-func (*ModelGGLA) NumCtx() uint32 {
-	panic("not implemented")
-}

llm/ggml.go

@@ -3,14 +3,14 @@ package llm
 import (
 	"encoding/binary"
 	"errors"
+	"fmt"
 	"io"
+	"strings"
 )
 
 type GGML struct {
 	container
 	model
-
-	Size int64
 }
 
 const (
@@ -90,15 +90,178 @@ func fileType(fileType uint32) string {
 }
 
 type model interface {
-	ModelFamily() string
-	ModelType() string
-	FileType() string
-	NumLayers() uint32
-	NumGQA() uint32
-	NumEmbed() uint32
-	NumHead() uint32
-	NumHeadKv() uint32
-	NumCtx() uint32
+	KV() KV
+	Tensors() Tensors
+}
+
+type KV map[string]any
+
+func (kv KV) u64(key string) uint64 {
+	switch v := kv[key].(type) {
+	case uint64:
+		return v
+	case uint32:
+		return uint64(v)
+	case float64:
+		return uint64(v)
+	default:
+		return 0
+	}
+}
+
+func (kv KV) Architecture() string {
+	if s, ok := kv["general.architecture"].(string); ok {
+		return s
+	}
+
+	return "unknown"
+}
+
+func (kv KV) ParameterCount() uint64 {
+	return kv.u64("general.parameter_count")
+}
+
+func (kv KV) FileType() string {
+	if u64 := kv.u64("general.file_type"); u64 > 0 {
+		return fileType(uint32(u64))
+	}
+
+	return "unknown"
+}
+
+func (kv KV) BlockCount() uint64 {
+	return kv.u64(fmt.Sprintf("%s.block_count", kv.Architecture()))
+}
+
+func (kv KV) HeadCount() uint64 {
+	return kv.u64(fmt.Sprintf("%s.attention.head_count", kv.Architecture()))
+}
+
+func (kv KV) HeadCountKV() uint64 {
+	if headCountKV := kv.u64(fmt.Sprintf("%s.attention.head_count_kv", kv.Architecture())); headCountKV > 0 {
+		return headCountKV
+	}
+
+	return 1
+}
+
+func (kv KV) GQA() uint64 {
+	return kv.HeadCount() / kv.HeadCountKV()
+}
+
+func (kv KV) EmbeddingLength() uint64 {
+	return kv.u64(fmt.Sprintf("%s.embedding_length", kv.Architecture()))
+}
+
+func (kv KV) ContextLength() uint64 {
+	return kv.u64(fmt.Sprintf("%s.context_length", kv.Architecture()))
+}
+
+type Tensors []*Tensor
+
+func (ts Tensors) Layers() map[string]Layer {
+	layers := make(map[string]Layer)
+	for _, t := range ts {
+		parts := strings.Split(t.Name, ".")
+		if parts[0] == "blk" {
+			parts = parts[1:]
+		}
+
+		if _, ok := layers[parts[0]]; !ok {
+			layers[parts[0]] = make(Layer)
+		}
+
+		layers[parts[0]][strings.Join(parts[1:], ".")] = t
+	}
+
+	return layers
+}
+
+type Layer map[string]*Tensor
+
+func (l Layer) size() (size uint64) {
+	for _, t := range l {
+		size += t.size()
+	}
+
+	return size
+}
+
+type Tensor struct {
+	Name   string `json:"name"`
+	Kind   uint32 `json:"kind"`
+	Offset uint64 `json:"-"`
+
+	// Shape is the number of elements in each dimension
+	Shape []uint64 `json:"shape"`
+
+	io.WriterTo `json:"-"`
+}
+
+func (t Tensor) blockSize() uint64 {
+	switch {
+	case t.Kind < 2:
+		return 1
+	case t.Kind < 10:
+		return 32
+	default:
+		return 256
+	}
+}
+
+func (t Tensor) typeSize() uint64 {
+	blockSize := t.blockSize()
+
+	switch t.Kind {
+	case 0: // FP32
+		return 4
+	case 1: // FP16
+		return 2
+	case 2: // Q4_0
+		return 2 + blockSize/2
+	case 3: // Q4_1
+		return 2 + 2 + blockSize/2
+	case 6: // Q5_0
+		return 2 + 4 + blockSize/2
+	case 7: // Q5_1
+		return 2 + 2 + 4 + blockSize/2
+	case 8: // Q8_0
+		return 2 + blockSize
+	case 9: // Q8_1
+		return 4 + 4 + blockSize
+	case 10: // Q2_K
+		return blockSize/16 + blockSize/4 + 2 + 2
+	case 11: // Q3_K
+		return blockSize/8 + blockSize/4 + 12 + 2
+	case 12: // Q4_K
+		return 2 + 2 + 12 + blockSize/2
+	case 13: // Q5_K
+		return 2 + 2 + 12 + blockSize/8 + blockSize/2
+	case 14: // Q6_K
+		return blockSize/2 + blockSize/4 + blockSize/16 + 2
+	case 15: // Q8_K
+		return 2 + blockSize + 2*blockSize/16
+	case 16: // IQ2_XXS
+		return 2 + 2*blockSize/8
+	case 17: // IQ2_XS
+		return 2 + 2*blockSize/8 + blockSize/32
+	case 18: // IQ3_XXS
+		return 2 + 3*blockSize/8
+	default:
+		return 0
+	}
+}
+
+func (t Tensor) parameters() uint64 {
+	var count uint64 = 1
+	for _, n := range t.Shape {
+		count *= n
+	}
+	return count
+}
+
+func (t Tensor) size() uint64 {
+	return t.parameters() * t.typeSize() / t.blockSize()
 }
 
 type container interface {
@@ -122,42 +285,91 @@ const (
 
 var ErrUnsupportedFormat = errors.New("unsupported model format")
 
-func DecodeGGML(rs io.ReadSeeker) (*GGML, error) {
+func DecodeGGML(rs io.ReadSeeker) (*GGML, int64, error) {
 	var magic uint32
 	if err := binary.Read(rs, binary.LittleEndian, &magic); err != nil {
-		return nil, err
+		return nil, 0, err
 	}
 
 	var c container
 	switch magic {
 	case FILE_MAGIC_GGML, FILE_MAGIC_GGMF, FILE_MAGIC_GGJT:
-		return nil, ErrUnsupportedFormat
+		return nil, 0, ErrUnsupportedFormat
 	case FILE_MAGIC_GGLA:
-		c = &ContainerGGLA{}
+		c = &containerGGLA{}
 	case FILE_MAGIC_GGUF_LE:
-		c = &ContainerGGUF{ByteOrder: binary.LittleEndian}
+		c = &containerGGUF{ByteOrder: binary.LittleEndian}
 	case FILE_MAGIC_GGUF_BE:
-		c = &ContainerGGUF{ByteOrder: binary.BigEndian}
+		c = &containerGGUF{ByteOrder: binary.BigEndian}
 	default:
-		return nil, errors.New("invalid file magic")
+		return nil, 0, errors.New("invalid file magic")
 	}
 
 	model, err := c.Decode(rs)
 	if errors.Is(err, io.EOF) {
 		// noop
 	} else if err != nil {
-		return nil, err
+		return nil, 0, err
 	}
 
 	offset, err := rs.Seek(0, io.SeekCurrent)
 	if err != nil {
-		return nil, err
+		return nil, 0, err
 	}
 
 	// final model type
 	return &GGML{
 		container: c,
 		model:     model,
-		Size:      offset,
-	}, nil
+	}, offset, nil
+}
+
+func (llm GGML) GraphSize(context, batch uint64) (partialOffload, fullOffload uint64) {
+	embedding := llm.KV().EmbeddingLength()
+	heads := llm.KV().HeadCount()
+	headsKV := llm.KV().HeadCountKV()
+	vocab := uint64(len(llm.KV()["tokenizer.ggml.tokens"].([]any)))
+
+	switch llm.KV().Architecture() {
+	case "llama":
+		fullOffload = 4 * batch * (1 + 4*embedding + context*(1+heads))
+
+		partialOffload = 4 * batch * embedding
+		partialOffload += max(
+			4*batch*(1+embedding+max(context, embedding))+embedding*embedding*9/16+4*context*(batch*heads+embedding/heads*headsKV),
+			4*batch*(embedding+vocab)+embedding*vocab*105/128,
+		)
+	case "gemma":
+		fullOffload = 4 * batch * (embedding + vocab)
+		partialOffload = 4*batch*(2*embedding+vocab+1) + embedding*vocab*105/128
+	case "command-r":
+		fullOffload = max(
+			4*batch*(embedding+vocab),
+			4*batch*(2+4*embedding+context*(1+heads)),
+		)
+
+		partialOffload = max(
+			4*batch*(embedding+vocab)+embedding*vocab*105/128,
+			4*batch*(1+2*embedding+context*(1+heads))+ 4*embedding*context+embedding*embedding*9/16,
+		)
+	case "qwen2":
+		fullOffload = max(
+			4*batch*(embedding+vocab),
+			4*batch*(1+2*embedding+context+context*heads),
+		)
+
+		partialOffload = max(
+			4*batch*(embedding+vocab)+embedding*vocab*105/128,
+			4*(batch*(1+2*embedding+context*(1+heads))+embedding*(1+context)),
+		)
+	case "phi2":
+		fullOffload = max(
+			4*batch*(embedding+vocab),
+			4*batch*(1+4*embedding+context+context*heads),
+		)
+
+		partialOffload = 4*batch*(2*embedding+vocab) + embedding*vocab*105/128
+	}
+
+	return
 }

llm/llama.go

@@ -1,100 +0,0 @@
-package llm
-
-import (
-	_ "embed"
-	"fmt"
-	"time"
-
-	"github.com/ollama/ollama/api"
-)
-
-const jsonGrammar = `
-root   ::= object
-value  ::= object | array | string | number | ("true" | "false" | "null") ws
-
-object ::=
-  "{" ws (
-            string ":" ws value
-    ("," ws string ":" ws value)*
-  )? "}" ws
-
-array  ::=
-  "[" ws (
-            value
-    ("," ws value)*
-  )? "]" ws
-
-string ::=
-  "\"" (
-    [^"\\] |
-    "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F]) # escapes
-  )* "\"" ws
-
-number ::= ("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? ws
-
-# Optional space: by convention, applied in this grammar after literal chars when allowed
-ws ::= ([ \t\n] ws)?
-`
-
-type ImageData struct {
-	Data []byte `json:"data"`
-	ID   int    `json:"id"`
-}
-
-var payloadMissing = fmt.Errorf("expected dynamic library payloads not included in this build of ollama")
-
-type prediction struct {
-	Content string `json:"content"`
-	Model   string `json:"model"`
-	Prompt  string `json:"prompt"`
-	Stop    bool   `json:"stop"`
-
-	Timings struct {
-		PredictedN  int     `json:"predicted_n"`
-		PredictedMS float64 `json:"predicted_ms"`
-		PromptN     int     `json:"prompt_n"`
-		PromptMS    float64 `json:"prompt_ms"`
-	}
-}
-
-const maxRetries = 3
-
-type PredictOpts struct {
-	Prompt  string
-	Format  string
-	Images  []ImageData
-	Options api.Options
-}
-
-type PredictResult struct {
-	Content            string
-	Done               bool
-	PromptEvalCount    int
-	PromptEvalDuration time.Duration
-	EvalCount          int
-	EvalDuration       time.Duration
-}
-
-type TokenizeRequest struct {
-	Content string `json:"content"`
-}
-
-type TokenizeResponse struct {
-	Tokens []int `json:"tokens"`
-}
-
-type DetokenizeRequest struct {
-	Tokens []int `json:"tokens"`
-}
-
-type DetokenizeResponse struct {
-	Content string `json:"content"`
-}
-
-type EmbeddingRequest struct {
-	Content string `json:"content"`
-}
-
-type EmbeddingResponse struct {
-	Embedding []float64 `json:"embedding"`
-}

llm/llm.go

@@ -1,175 +1,86 @@
 package llm
 
+// #cgo CFLAGS: -Illama.cpp
+// #cgo darwin,arm64 LDFLAGS: ${SRCDIR}/build/darwin/arm64_static/libllama.a -lstdc++
+// #cgo darwin,amd64 LDFLAGS: ${SRCDIR}/build/darwin/x86_64_static/libllama.a -lstdc++
+// #cgo windows,amd64 LDFLAGS: ${SRCDIR}/build/windows/amd64_static/libllama.a -static -lstdc++
+// #cgo linux,amd64 LDFLAGS: ${SRCDIR}/build/linux/x86_64_static/libllama.a -lstdc++
+// #cgo linux,arm64 LDFLAGS: ${SRCDIR}/build/linux/arm64_static/libllama.a -lstdc++
+// #include <stdlib.h>
+// #include "llama.h"
+import "C"
 import (
-	"context"
 	"fmt"
-	"log/slog"
-	"os"
-	"runtime"
-	"slices"
-
-	"github.com/ollama/ollama/api"
-	"github.com/ollama/ollama/gpu"
+	"unsafe"
 )
 
-type LLM interface {
-	Predict(context.Context, PredictOpts, func(PredictResult)) error
-	Embedding(context.Context, string) ([]float64, error)
-	Encode(context.Context, string) ([]int, error)
-	Decode(context.Context, []int) (string, error)
-	Close()
+// SystemInfo is an unused example of calling llama.cpp functions using CGo
+func SystemInfo() string {
+	return C.GoString(C.llama_print_system_info())
 }
 
-var cpuOnlyFamilies = []string{
-	"mamba",
-}
+func Quantize(infile, outfile, filetype string) error {
+	cinfile := C.CString(infile)
+	defer C.free(unsafe.Pointer(cinfile))
 
-func New(model string, adapters, projectors []string, opts api.Options) (LLM, error) {
-	if _, err := os.Stat(model); err != nil {
-		return nil, err
-	}
+	coutfile := C.CString(outfile)
+	defer C.free(unsafe.Pointer(coutfile))
 
-	f, err := os.Open(model)
-	if err != nil {
-		return nil, err
-	}
-	defer f.Close()
+	params := C.llama_model_quantize_default_params()
+	params.nthread = -1
 
-	ggml, err := DecodeGGML(f)
-	if err != nil {
-		return nil, err
-	}
-
-	if opts.NumCtx > int(ggml.NumCtx()) {
-		slog.Warn(fmt.Sprintf("requested context length is greater than model's max context length (%d > %d), using %d instead", opts.NumCtx, ggml.NumCtx(), ggml.NumCtx()))
-		opts.NumCtx = int(ggml.NumCtx())
-	}
-
-	if opts.NumCtx < 4 {
-		opts.NumCtx = 4
-	}
-
-	vram, _ := gpu.CheckVRAM()
-	size := ggml.Size
-
-	// fp16 k,v matrices require = n_ctx * n_layer * n_embd / n_head * n_head_kv * 2 bytes each * 2 key and value
-	kv := 2 * 2 * int64(opts.NumCtx) * int64(ggml.NumLayers()) * int64(ggml.NumEmbed()) * int64(ggml.NumHeadKv()) / int64(max(ggml.NumHead(), 1))
-
-	// this amount is the overhead + tensors in memory
-	// TODO: get this from the llama.cpp's graph calculations instead of
-	// estimating it's 1/6 * kv_cache_size * num_gqa
-	graph := int64(ggml.NumGQA()) * kv / 6
-
-	// certain model architectures don't support gpu inference yet
-	if slices.Contains(cpuOnlyFamilies, ggml.ModelFamily()) {
-		opts.NumGPU = 0
-	}
-
-	info := gpu.GetGPUInfo()
-	switch runtime.GOOS {
-	case "darwin":
-		if opts.NumGPU == 0 {
-			break
-		}
-
-		if size+kv+graph > vram {
-			slog.Info("not enough vram available, setting num_gpu=0")
-			opts.NumGPU = 0
-			break
-		}
-
-		// TODO: implement layer splitting on macOS
-		opts.NumGPU = 999
+	switch filetype {
+	case "F32":
+		params.ftype = fileTypeF32
+	case "F16":
+		params.ftype = fileTypeF16
+	case "Q4_0":
+		params.ftype = fileTypeQ4_0
+	case "Q4_1":
+		params.ftype = fileTypeQ4_1
+	case "Q4_1_F16":
+		params.ftype = fileTypeQ4_1_F16
+	case "Q8_0":
+		params.ftype = fileTypeQ8_0
+	case "Q5_0":
+		params.ftype = fileTypeQ5_0
+	case "Q5_1":
+		params.ftype = fileTypeQ5_1
+	case "Q2_K":
+		params.ftype = fileTypeQ2_K
+	case "Q3_K_S":
+		params.ftype = fileTypeQ3_K_S
+	case "Q3_K_M":
+		params.ftype = fileTypeQ3_K_M
+	case "Q3_K_L":
+		params.ftype = fileTypeQ3_K_L
+	case "Q4_K_S":
+		params.ftype = fileTypeQ4_K_S
+	case "Q4_K_M":
+		params.ftype = fileTypeQ4_K_M
+	case "Q5_K_S":
+		params.ftype = fileTypeQ5_K_S
+	case "Q5_K_M":
+		params.ftype = fileTypeQ5_K_M
+	case "Q6_K":
+		params.ftype = fileTypeQ6_K
+	case "IQ2_XXS":
+		params.ftype = fileTypeIQ2_XXS
+	case "IQ2_XS":
+		params.ftype = fileTypeIQ2_XS
+	case "Q2_K_S":
+		params.ftype = fileTypeQ2_K_S
+	case "Q3_K_XS":
+		params.ftype = fileTypeQ3_K_XS
+	case "IQ3_XXS":
+		params.ftype = fileTypeIQ3_XXS
 	default:
-		if info.Library == "cpu" {
-			slog.Info("GPU not available, falling back to CPU")
-			opts.NumGPU = 0
-			break
-		}
-
-		// don't use GPU at all if no layers are loaded
-		if opts.NumGPU == 0 {
-			info.Library = "cpu"
-			info.Variant = gpu.GetCPUVariant()
-			break
-		}
-
-		// user-defined GPU count
-		if opts.NumGPU != -1 {
-			break
-		}
-
-		// the "main" GPU needs the most memory and determines the limit
-		// of how many layers can be loaded. It needs to fit:
-		// 1. the full compute graph allocation for all devices (graph)
-		// 2. the proportional kv cache for all devices (kv * % layers)
-		// 3. the proportional model (size * % layers / # devices)
-		// This estimates the number of layers
-		maxlayers := int64(ggml.NumLayers()) + 1
-		devices := int64(info.DeviceCount)
-		avg := vram / devices
-		layers := maxlayers * (avg - graph) / (kv + size/devices)
-		if layers > maxlayers {
-			layers = maxlayers
-		}
-
-		// 1 + 2 must fit on the main gpu
-		min := graph + kv*layers/maxlayers
-		if layers <= 0 || min > avg {
-			slog.Info("not enough vram available, falling back to CPU only")
-			info.Library = "cpu"
-			info.Variant = gpu.GetCPUVariant()
-			opts.NumGPU = 0
-			break
-		}
-
-		opts.NumGPU = int(layers)
+		return fmt.Errorf("unknown filetype: %s", filetype)
 	}
 
-	opts.RopeFrequencyBase = 0.0
-	opts.RopeFrequencyScale = 0.0
-	return newLlmServer(info, model, adapters, projectors, opts)
-}
-
-// Give any native cgo implementations an opportunity to initialize
-func Init() error {
-	return nativeInit()
-}
-
-func newLlmServer(gpuInfo gpu.GpuInfo, model string, adapters, projectors []string, opts api.Options) (LLM, error) {
-	dynLibs := getDynLibs(gpuInfo)
-
-	// Check to see if the user has requested a specific library instead of auto-detecting
-	demandLib := os.Getenv("OLLAMA_LLM_LIBRARY")
-	if demandLib != "" {
-		libPath := availableDynLibs[demandLib]
-		if libPath == "" {
-			slog.Info(fmt.Sprintf("Invalid OLLAMA_LLM_LIBRARY %s - not found", demandLib))
-		} else {
-			slog.Info(fmt.Sprintf("Loading OLLAMA_LLM_LIBRARY=%s", demandLib))
-			dynLibs = []string{libPath}
-		}
-	}
-
-	// We stage into a temp directory, and if we've been idle for a while, it may have been reaped
-	_, err := os.Stat(dynLibs[0])
-	if err != nil {
-		slog.Info(fmt.Sprintf("%s has disappeared, reloading libraries", dynLibs[0]))
-		err = nativeInit()
-		if err != nil {
-			return nil, err
-		}
-	}
-
-	err2 := fmt.Errorf("unable to locate suitable llm library")
-	for _, dynLib := range dynLibs {
-		srv, err := newDynExtServer(dynLib, model, adapters, projectors, opts)
-		if err == nil {
-			return srv, nil
-		}
-		slog.Warn(fmt.Sprintf("Failed to load dynamic library %s  %s", dynLib, err))
-		err2 = err
-	}
-
-	return nil, err2
+	if retval := C.llama_model_quantize(cinfile, coutfile, &params); retval != 0 {
+		return fmt.Errorf("llama_model_quantize: %d", retval)
+	}
+
+	return nil
 }

llm/llm_darwin_amd64.go

@@ -4,5 +4,5 @@ import (
 	"embed"
 )
 
-//go:embed llama.cpp/build/linux/*/*/lib/*
+//go:embed build/darwin/x86_64/*/bin/*
 var libEmbed embed.FS

llm/llm_darwin_arm64.go

@@ -4,5 +4,5 @@ import (
 	"embed"
 )
 
-//go:embed llama.cpp/build/windows/*/*/lib/*.dll*
+//go:embed build/darwin/arm64/*/bin/*
 var libEmbed embed.FS

llm/llm_linux.go

@@ -0,0 +1,6 @@
+package llm
+
+import "embed"
+
+//go:embed build/linux/*/*/bin/*
+var libEmbed embed.FS

llm/llm_windows.go

@@ -0,0 +1,6 @@
+package llm
+
+import "embed"
+
+//go:embed build/windows/*/*/bin/*
+var libEmbed embed.FS

llm/patches/04-locale.diff

@@ -1,13 +0,0 @@
-diff --git a/llama.cpp b/llama.cpp
-index b27aa272..99372f9c 100644
---- a/llama.cpp
-+++ b/llama.cpp
-@@ -9360,7 +9360,7 @@ struct llm_tokenizer_wpm {
-     }
- 
-     uint32_t to_lower(uint32_t code) {
--        static const std::locale locale("en_US.UTF-8");
-+        static const std::locale locale("");
- #if defined(_WIN32)
-         if (code > 0xFFFF) {
-             return code;

llm/payload.go

@@ -0,0 +1,211 @@
+package llm
+
+import (
+	"compress/gzip"
+	"errors"
+	"fmt"
+	"io"
+	"io/fs"
+	"log/slog"
+	"os"
+	"path/filepath"
+	"strings"
+
+	"golang.org/x/exp/slices"
+	"golang.org/x/sync/errgroup"
+
+	"github.com/ollama/ollama/gpu"
+)
+
+var errPayloadMissing = fmt.Errorf("expected payloads not included in this build of ollama")
+
+func Init() error {
+	payloadsDir, err := gpu.PayloadsDir()
+	if err != nil {
+		return err
+	}
+
+	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 availableServers() {
+		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 availableServers() 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, "*")
+
+	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(file)] = 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 := availableServers()
+	requested := info.Library
+	if info.Variant != "" {
+		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...)
+	}
+
+	// Load up the best CPU variant if not primary requested
+	if info.Library != "cpu" {
+		variant := gpu.GetCPUVariant()
+		// 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 != "" {
+			for cmp := range availableServers {
+				if cmp == "cpu_"+variant {
+					servers = append(servers, cmp)
+					break
+				}
+			}
+		} else {
+			servers = append(servers, "cpu")
+		}
+	}
+
+	if len(servers) == 0 {
+		servers = []string{"cpu"}
+	}
+
+	return servers
+}
+
+// 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
+}

llm/payload_common.go

@@ -1,233 +0,0 @@
-package llm
-
-import (
-	"compress/gzip"
-	"errors"
-	"fmt"
-	"io"
-	"io/fs"
-	"log/slog"
-	"os"
-	"path/filepath"
-	"runtime"
-	"strings"
-	"sync"
-
-	"golang.org/x/exp/slices"
-	"golang.org/x/sync/errgroup"
-
-	"github.com/ollama/ollama/gpu"
-)
-
-// Libraries names may contain an optional variant separated by '_'
-// For example, "rocm_v6" and "rocm_v5" or "cpu" and "cpu_avx2"
-// Any library without a variant is the lowest common denominator
-var availableDynLibs = map[string]string{}
-
-const pathComponentCount = 7
-
-// getDynLibs returns an ordered list of LLM libraries to try, starting with the best
-func getDynLibs(gpuInfo gpu.GpuInfo) []string {
-	// Short circuit if we know we're using the default built-in (darwin only)
-	if gpuInfo.Library == "default" {
-		return []string{"default"}
-	}
-	// TODO - temporary until we have multiple CPU variations for Darwin
-	// Short circuit on darwin with metal only
-	if len(availableDynLibs) == 1 {
-		if _, onlyMetal := availableDynLibs["metal"]; onlyMetal {
-			return []string{availableDynLibs["metal"]}
-		}
-	}
-
-	exactMatch := ""
-	dynLibs := []string{}
-	altDynLibs := []string{}
-	requested := gpuInfo.Library
-	if gpuInfo.Variant != "" {
-		requested += "_" + gpuInfo.Variant
-	}
-	// Try to find an exact match
-	for cmp := range availableDynLibs {
-		if requested == cmp {
-			exactMatch = cmp
-			dynLibs = []string{availableDynLibs[cmp]}
-			break
-		}
-	}
-	// Then for GPUs load alternates and sort the list for consistent load ordering
-	if gpuInfo.Library != "cpu" {
-		for cmp := range availableDynLibs {
-			if gpuInfo.Library == strings.Split(cmp, "_")[0] && cmp != exactMatch {
-				altDynLibs = append(altDynLibs, cmp)
-			}
-		}
-		slices.Sort(altDynLibs)
-		for _, altDynLib := range altDynLibs {
-			dynLibs = append(dynLibs, availableDynLibs[altDynLib])
-		}
-	}
-
-	// Load up the best CPU variant if not primary requested
-	if gpuInfo.Library != "cpu" {
-		variant := gpu.GetCPUVariant()
-		// 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 != "" {
-			for cmp := range availableDynLibs {
-				if cmp == "cpu_"+variant {
-					dynLibs = append(dynLibs, availableDynLibs[cmp])
-					break
-				}
-			}
-		} else {
-			dynLibs = append(dynLibs, availableDynLibs["cpu"])
-		}
-	}
-
-	// Finally, if we didn't find any matches, LCD CPU FTW
-	if len(dynLibs) == 0 {
-		dynLibs = []string{availableDynLibs["cpu"]}
-	}
-	slog.Debug(fmt.Sprintf("ordered list of LLM libraries to try %v", dynLibs))
-	return dynLibs
-}
-
-func rocmDynLibPresent() bool {
-	for dynLibName := range availableDynLibs {
-		if strings.HasPrefix(dynLibName, "rocm") {
-			return true
-		}
-	}
-	return false
-}
-
-func nativeInit() error {
-	payloadsDir, err := gpu.PayloadsDir()
-	if err != nil {
-		return err
-	}
-
-	slog.Info(fmt.Sprintf("Extracting dynamic libraries to %s ...", payloadsDir))
-
-	libs, err := extractDynamicLibs(payloadsDir, "llama.cpp/build/*/*/*/lib/*")
-	if err != nil {
-		if errors.Is(err, payloadMissing) {
-			slog.Info(fmt.Sprintf("%s", payloadMissing))
-			return nil
-		}
-		return err
-	}
-	for _, lib := range libs {
-		// The last dir component is the variant name
-		variant := filepath.Base(filepath.Dir(lib))
-		availableDynLibs[variant] = lib
-	}
-
-	if err := verifyDriverAccess(); err != nil {
-		return err
-	}
-
-	// Report which dynamic libraries we have loaded to assist troubleshooting
-	variants := make([]string, len(availableDynLibs))
-	i := 0
-	for variant := range availableDynLibs {
-		variants[i] = variant
-		i++
-	}
-	slog.Info(fmt.Sprintf("Dynamic LLM libraries %v", variants))
-	slog.Debug("Override detection logic by setting OLLAMA_LLM_LIBRARY")
-
-	return nil
-}
-
-func extractDynamicLibs(payloadsDir, glob string) ([]string, error) {
-	files, err := fs.Glob(libEmbed, glob)
-	if err != nil || len(files) == 0 {
-		return nil, payloadMissing
-	}
-
-	var mu sync.Mutex
-	var libs []string
-	var g errgroup.Group
-	for _, file := range files {
-		pathComps := strings.Split(file, "/")
-		if len(pathComps) != pathComponentCount {
-			slog.Error(fmt.Sprintf("unexpected payload components: %v", pathComps))
-			continue
-		}
-
-		file := file
-		g.Go(func() error {
-			// llama.cpp/build/$OS/$GOARCH/$VARIANT/lib/$LIBRARY
-			// Include the variant in the path to avoid conflicts between multiple server libs
-			targetDir := filepath.Join(payloadsDir, pathComps[pathComponentCount-3])
-			srcFile, err := libEmbed.Open(file)
-			if err != nil {
-				return fmt.Errorf("read payload %s: %v", file, err)
-			}
-			defer srcFile.Close()
-			if err := os.MkdirAll(targetDir, 0o755); err != nil {
-				return fmt.Errorf("create payload lib dir %s: %v", payloadsDir, err)
-			}
-			src := io.Reader(srcFile)
-			filename := file
-			if strings.HasSuffix(file, ".gz") {
-				src, err = gzip.NewReader(src)
-				if err != nil {
-					return fmt.Errorf("decompress payload %s: %v", file, err)
-				}
-				filename = strings.TrimSuffix(filename, ".gz")
-			}
-
-			destFile := filepath.Join(targetDir, filepath.Base(filename))
-			if strings.Contains(destFile, "server") {
-				mu.Lock()
-				libs = append(libs, destFile)
-				mu.Unlock()
-			}
-
-			destFp, err := os.OpenFile(destFile, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, 0o755)
-			if err != nil {
-				return fmt.Errorf("write payload %s: %v", file, err)
-			}
-			defer destFp.Close()
-			if _, err := io.Copy(destFp, src); err != nil {
-				return fmt.Errorf("copy payload %s: %v", file, 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 nil, err
-	}
-	return libs, nil
-}
-
-func verifyDriverAccess() error {
-	if runtime.GOOS != "linux" {
-		return nil
-	}
-	// Only check ROCm access if we have the dynamic lib loaded
-	if rocmDynLibPresent() {
-		// 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, 0666)
-		if err != nil {
-			if errors.Is(err, fs.ErrPermission) {
-				return fmt.Errorf("Radeon card detected, but permissions not set up properly.  Either run ollama as root, or add you user account to the render group.")
-			} else if errors.Is(err, fs.ErrNotExist) {
-				// expected behavior without a radeon card
-				return nil
-			}
-
-			return fmt.Errorf("failed to check permission on /dev/kfd: %w", err)
-		}
-		fd.Close()
-	}
-	return nil
-}

llm/payload_darwin_amd64.go

@@ -1,8 +0,0 @@
-package llm
-
-import (
-	"embed"
-)
-
-//go:embed llama.cpp/build/darwin/x86_64/*/lib/*.dylib*
-var libEmbed embed.FS

llm/payload_darwin_arm64.go

@@ -1,8 +0,0 @@
-package llm
-
-import (
-	"embed"
-)
-
-//go:embed llama.cpp/ggml-metal.metal llama.cpp/build/darwin/arm64/*/lib/*.dylib*
-var libEmbed embed.FS

llm/payload_test.go

@@ -1,58 +0,0 @@
-package llm
-
-import (
-	"testing"
-
-	"github.com/ollama/ollama/gpu"
-	"github.com/stretchr/testify/assert"
-)
-
-func TestGetDynLibs(t *testing.T) {
-	availableDynLibs = map[string]string{
-		"cpu": "X_cpu",
-	}
-	assert.Equal(t, false, rocmDynLibPresent())
-	res := getDynLibs(gpu.GpuInfo{Library: "cpu"})
-	assert.Len(t, res, 1)
-	assert.Equal(t, availableDynLibs["cpu"], res[0])
-
-	variant := gpu.GetCPUVariant()
-	if variant != "" {
-		variant = "_" + variant
-	}
-	availableDynLibs = map[string]string{
-		"rocm_v5":       "X_rocm_v5",
-		"rocm_v6":       "X_rocm_v6",
-		"cpu" + variant: "X_cpu",
-	}
-	assert.Equal(t, true, rocmDynLibPresent())
-	res = getDynLibs(gpu.GpuInfo{Library: "rocm"})
-	assert.Len(t, res, 3)
-	assert.Equal(t, availableDynLibs["rocm_v5"], res[0])
-	assert.Equal(t, availableDynLibs["rocm_v6"], res[1])
-	assert.Equal(t, availableDynLibs["cpu"+variant], res[2])
-
-	res = getDynLibs(gpu.GpuInfo{Library: "rocm", Variant: "v6"})
-	assert.Len(t, res, 3)
-	assert.Equal(t, availableDynLibs["rocm_v6"], res[0])
-	assert.Equal(t, availableDynLibs["rocm_v5"], res[1])
-	assert.Equal(t, availableDynLibs["cpu"+variant], res[2])
-
-	res = getDynLibs(gpu.GpuInfo{Library: "cuda"})
-	assert.Len(t, res, 1)
-	assert.Equal(t, availableDynLibs["cpu"+variant], res[0])
-
-	res = getDynLibs(gpu.GpuInfo{Library: "default"})
-	assert.Len(t, res, 1)
-	assert.Equal(t, "default", res[0])
-
-	availableDynLibs = map[string]string{
-		"rocm":          "X_rocm_v5",
-		"cpu" + variant: "X_cpu",
-	}
-	assert.Equal(t, true, rocmDynLibPresent())
-	res = getDynLibs(gpu.GpuInfo{Library: "rocm", Variant: "v6"})
-	assert.Len(t, res, 2)
-	assert.Equal(t, availableDynLibs["rocm"], res[0])
-	assert.Equal(t, availableDynLibs["cpu"+variant], res[1])
-}

llm/server.go

@@ -0,0 +1,850 @@
+package llm
+
+import (
+	"bufio"
+	"bytes"
+	"context"
+	"encoding/json"
+	"errors"
+	"fmt"
+	"io"
+	"log"
+	"log/slog"
+	"math/rand"
+	"net"
+	"net/http"
+	"os"
+	"os/exec"
+	"path/filepath"
+	"runtime"
+	"slices"
+	"strconv"
+	"strings"
+	"time"
+
+	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/format"
+	"github.com/ollama/ollama/gpu"
+)
+
+// LlamaServer is an instance of the llama.cpp server
+type LlamaServer struct {
+	port    int
+	cmd     *exec.Cmd
+	done    chan error // Channel to signal when the process exits
+	status  *StatusWriter
+	options api.Options
+}
+
+var cpuOnlyFamilies = []string{
+	"mamba",
+}
+
+func NewLlamaServer(model string, adapters, projectors []string, opts api.Options) (*LlamaServer, error) {
+	f, err := os.Open(model)
+	if err != nil {
+		return nil, err
+	}
+	defer f.Close()
+
+	ggml, _, err := DecodeGGML(f)
+	if err != nil {
+		return nil, err
+	}
+
+	if opts.NumCtx > int(ggml.KV().ContextLength()) {
+		slog.Warn("requested context length is greater than model max context length", "requested", opts.NumCtx, "model", ggml.KV().ContextLength())
+		opts.NumCtx = int(ggml.KV().ContextLength())
+	}
+
+	if opts.NumCtx < 4 {
+		opts.NumCtx = 4
+	}
+
+	memoryAvailable, _ := gpu.CheckVRAM()
+	info := gpu.GetGPUInfo()
+
+	memoryMinimum := info.MinimumMemory
+	for _, projector := range projectors {
+		memoryMinimum += projectorMemoryRequirements(projector)
+
+		// multimodal models require at least 2048 context
+		opts.NumCtx = max(opts.NumCtx, 2048)
+	}
+
+	// fp16 k,v = (1 (k) + 1 (v)) * sizeof(float16) * n_ctx * n_layer * n_embd / n_head * n_head_kv
+	var kv uint64 = 2 * 2 * uint64(opts.NumCtx) * ggml.KV().BlockCount() * ggml.KV().EmbeddingLength() / ggml.KV().HeadCount() * ggml.KV().HeadCountKV()
+
+	graphPartialOffload, graphFullOffload := ggml.GraphSize(uint64(opts.NumCtx), uint64(min(opts.NumCtx, opts.NumBatch)))
+	if graphPartialOffload == 0 {
+		graphPartialOffload = ggml.KV().GQA() * kv / 6
+	}
+
+	if graphFullOffload == 0 {
+		graphFullOffload = graphPartialOffload
+	}
+
+	// memoryRequiredTotal represents the memory required for full GPU offloading (all layers)
+	memoryRequiredTotal := memoryMinimum + graphFullOffload
+
+	// memoryRequiredPartial represents the memory required for partial GPU offloading (n > 0, n < layers)
+	memoryRequiredPartial := memoryMinimum + graphPartialOffload
+
+	if info.Library != "metal" {
+		if memoryRequiredPartial > memoryAvailable || slices.Contains(cpuOnlyFamilies, ggml.KV().Architecture()) {
+			info.Library = "cpu"
+		}
+	}
+
+	var layerCount int
+	layers := ggml.Tensors().Layers()
+	for i := 0; i < int(ggml.KV().BlockCount()); i++ {
+		memoryLayer := layers[fmt.Sprintf("%d", i)].size()
+
+		// KV is proportional to the number of layers
+		memoryLayer += kv / ggml.KV().BlockCount()
+
+		memoryRequiredTotal += memoryLayer
+		if memoryAvailable > memoryRequiredPartial+memoryLayer {
+			memoryRequiredPartial += memoryLayer
+			layerCount++
+		}
+	}
+
+	memoryLayerOutput := layers["output"].size()
+	memoryRequiredTotal += memoryLayerOutput
+	if memoryAvailable > memoryRequiredTotal {
+		layerCount = int(ggml.KV().BlockCount()) + 1
+		memoryRequiredPartial = memoryRequiredTotal
+	}
+
+	if opts.NumGPU < 0 {
+		opts.NumGPU = layerCount
+	}
+
+	slog.Info(
+		"offload to gpu",
+		"reallayers", opts.NumGPU,
+		"layers", layerCount,
+		"required", format.HumanBytes2(memoryRequiredTotal),
+		"used", format.HumanBytes2(memoryRequiredPartial),
+		"available", format.HumanBytes2(memoryAvailable),
+		"kv", format.HumanBytes2(kv),
+		"fulloffload", format.HumanBytes2(graphFullOffload),
+		"partialoffload", format.HumanBytes2(graphPartialOffload),
+	)
+
+	if len(adapters) > 1 {
+		return nil, errors.New("ollama supports only one lora adapter, but multiple were provided")
+	}
+
+	availableServers := availableServers()
+	servers := serversForGpu(info)
+
+	demandLib := os.Getenv("OLLAMA_LLM_LIBRARY")
+	if demandLib != "" {
+		serverPath := availableServers[demandLib]
+		if serverPath == "" {
+			slog.Info(fmt.Sprintf("Invalid OLLAMA_LLM_LIBRARY %s - not found", demandLib))
+		} else {
+			slog.Info("user override", "OLLAMA_LLM_LIBRARY", demandLib, "path", serverPath)
+			servers = []string{demandLib}
+		}
+	}
+
+	if len(servers) == 0 {
+		return nil, fmt.Errorf("no servers found for %v", info)
+	}
+
+	params := []string{
+		"--model", model,
+		"--ctx-size", fmt.Sprintf("%d", opts.NumCtx),
+		"--batch-size", fmt.Sprintf("%d", opts.NumBatch),
+		"--embedding",
+	}
+	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
+		params = append(params, "--log-format", "json")
+	} else {
+		params = append(params, "--log-disable")
+	}
+
+	if opts.NumGPU >= 0 {
+		params = append(params, "--n-gpu-layers", fmt.Sprintf("%d", opts.NumGPU))
+	}
+
+	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
+		params = append(params, "--verbose")
+	}
+
+	if opts.MainGPU > 0 {
+		params = append(params, "--main-gpu", fmt.Sprintf("%d", opts.MainGPU))
+	}
+
+	if len(adapters) > 0 {
+		// TODO: applying multiple adapters is not supported by the llama.cpp server yet
+		params = append(params, "--lora", adapters[0])
+	}
+
+	if len(projectors) > 0 {
+		// TODO: applying multiple projectors is not supported by the llama.cpp server yet
+		params = append(params, "--mmproj", projectors[0])
+	}
+
+	if opts.NumThread > 0 {
+		params = append(params, "--threads", fmt.Sprintf("%d", opts.NumThread))
+	}
+
+	if !opts.F16KV {
+		params = append(params, "--memory-f32")
+	}
+
+	if opts.UseMLock {
+		params = append(params, "--mlock")
+	}
+
+	if !opts.UseMMap {
+		params = append(params, "--no-mmap")
+	}
+
+	if opts.UseNUMA {
+		params = append(params, "--numa")
+	}
+
+	// Loop through potential servers
+	var finalErr error
+	for i := 0; i < len(servers); i++ {
+		dir := availableServers[servers[i]]
+
+		// Find an availableServers  port, retry on each iterration in case the failure was a port conflict race
+		port := 0
+		if a, err := net.ResolveTCPAddr("tcp", "localhost:0"); err == nil {
+			var l *net.TCPListener
+			if l, err = net.ListenTCP("tcp", a); err == nil {
+				port = l.Addr().(*net.TCPAddr).Port
+				l.Close()
+			}
+		}
+		if port == 0 {
+			slog.Debug("ResolveTCPAddr failed ", "error", err)
+			port = rand.Intn(65535-49152) + 49152 // get a random port in the ephemeral range
+		}
+		finalParams := append(params, "--port", strconv.Itoa(port))
+
+		pathEnv := "LD_LIBRARY_PATH"
+		if runtime.GOOS == "windows" {
+			pathEnv = "PATH"
+		}
+		// append the server directory to LD_LIBRARY_PATH/PATH
+		libraryPaths := []string{dir}
+		if libraryPath, ok := os.LookupEnv(pathEnv); ok {
+			// Append our runner directory to the path
+			// This will favor system libraries over our bundled library dependencies
+			libraryPaths = append(filepath.SplitList(libraryPath), libraryPaths...)
+		}
+
+		server := filepath.Join(dir, "ollama_llama_server")
+		if runtime.GOOS == "windows" {
+			server = server + ".exe"
+		}
+
+		s := &LlamaServer{
+			port:    port,
+			cmd:     exec.Command(server, finalParams...),
+			status:  NewStatusWriter(os.Stderr),
+			options: opts,
+		}
+		libEnv := fmt.Sprintf("%s=%s", pathEnv, strings.Join(libraryPaths, string(filepath.ListSeparator)))
+		slog.Debug(libEnv)
+		s.cmd.Env = append(os.Environ(), libEnv)
+		s.cmd.Stdout = os.Stdout
+		s.cmd.Stderr = s.status
+
+		slog.Info("starting llama server", "cmd", s.cmd.String())
+
+		if err = s.cmd.Start(); err != nil {
+			msg := ""
+			if s.status != nil && s.status.LastErrMsg != "" {
+				msg = s.status.LastErrMsg
+			}
+			err = fmt.Errorf("error starting the external llama server: %v %s", err, msg)
+			finalErr = err
+			continue
+		}
+
+		// reap subprocess when it exits
+		go func() {
+			// Exit status managed via getServerStatus
+			_ = s.cmd.Wait()
+		}()
+
+		if err = s.waitUntilRunning(); err != nil {
+			slog.Error("error starting llama server", "server", servers[i], "error", err)
+			s.Close()
+			finalErr = err
+			continue
+		}
+		return s, nil
+	}
+
+	slog.Error("unable to load any llama server", "error", finalErr)
+	return nil, finalErr
+}
+
+func projectorMemoryRequirements(filename string) uint64 {
+	file, err := os.Open(filename)
+	if err != nil {
+		return 0
+	}
+	defer file.Close()
+
+	ggml, _, err := DecodeGGML(file)
+	if err != nil {
+		return 0
+	}
+
+	var mem uint64
+	for _, layer := range ggml.Tensors().Layers() {
+		mem += layer.size()
+	}
+
+	return mem
+}
+
+type ServerStatus int
+
+const ( // iota is reset to 0
+	ServerStatusReady ServerStatus = iota
+	ServerStatusNoSlotsAvaialble
+	ServerStatusLoadingModel
+	ServerStatusNotResponding
+	ServerStatusError
+)
+
+type ServerStatusResp struct {
+	Status          string `json:"status"`
+	SlotsIdle       int    `json:"slots_idle"`
+	SlotsProcessing int    `json:"slots_processing"`
+	Error           string `json:"error"`
+}
+
+func (s *LlamaServer) getServerStatus(ctx context.Context) (ServerStatus, error) {
+	// Fail fast if its exited
+	if s.cmd.ProcessState != nil {
+		msg := ""
+		if s.status != nil && s.status.LastErrMsg != "" {
+			msg = s.status.LastErrMsg
+		}
+		return ServerStatusError, fmt.Errorf("llama runner process no longer running: %d %s", s.cmd.ProcessState.ExitCode(), msg)
+	}
+
+	req, err := http.NewRequestWithContext(ctx, http.MethodGet, fmt.Sprintf("http://127.0.0.1:%d/health", s.port), nil)
+	if err != nil {
+		return ServerStatusError, fmt.Errorf("error creating GET request: %v", err)
+	}
+	req.Header.Set("Content-Type", "application/json")
+
+	resp, err := http.DefaultClient.Do(req)
+	if err != nil {
+		if errors.Is(err, context.DeadlineExceeded) {
+			return ServerStatusNotResponding, fmt.Errorf("server not responding")
+		}
+		return ServerStatusError, fmt.Errorf("health resp: %w", err)
+	}
+	defer resp.Body.Close()
+
+	body, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return ServerStatusError, fmt.Errorf("read health request: %w", err)
+	}
+
+	var status ServerStatusResp
+	if err := json.Unmarshal(body, &status); err != nil {
+		return ServerStatusError, fmt.Errorf("health unmarshal encode response: %w", err)
+	}
+
+	switch status.Status {
+	case "ok":
+		return ServerStatusReady, nil
+	case "no slot available":
+		return ServerStatusNoSlotsAvaialble, nil
+	case "loading model":
+		return ServerStatusLoadingModel, nil
+	default:
+		return ServerStatusError, fmt.Errorf("server error: %+v", status)
+	}
+}
+
+func (s *LlamaServer) Ping(ctx context.Context) error {
+	_, err := s.getServerStatus(ctx)
+	if err != nil {
+		slog.Debug("server unhealthy", "error", err)
+		return err
+	}
+	return nil
+}
+
+func (s *LlamaServer) waitUntilRunning() error {
+	start := time.Now()
+	// TODO we need to wire up a better way to detect hangs during model load and startup of the server
+	expiresAt := time.Now().Add(10 * time.Minute) // be generous with timeout, large models can take a while to load
+	ticker := time.NewTicker(50 * time.Millisecond)
+	defer ticker.Stop()
+
+	slog.Info("waiting for llama runner to start responding")
+	var lastStatus ServerStatus = -1
+	for {
+		select {
+		case err := <-s.done:
+			msg := ""
+			if s.status != nil && s.status.LastErrMsg != "" {
+				msg = s.status.LastErrMsg
+			}
+			return fmt.Errorf("llama runner process has terminated: %v %s", err, msg)
+		case <-ticker.C:
+			if time.Now().After(expiresAt) {
+				// timeout
+				msg := ""
+				if s.status != nil && s.status.LastErrMsg != "" {
+					msg = s.status.LastErrMsg
+				}
+				return fmt.Errorf("timed out waiting for llama runner to start: %s", msg)
+			}
+			if s.cmd.ProcessState != nil {
+				msg := ""
+				if s.status != nil && s.status.LastErrMsg != "" {
+					msg = s.status.LastErrMsg
+				}
+				return fmt.Errorf("llama runner process no longer running: %d %s", s.cmd.ProcessState.ExitCode(), msg)
+			}
+
+			ctx, cancel := context.WithTimeout(context.Background(), 200*time.Millisecond)
+			defer cancel()
+			status, err := s.getServerStatus(ctx)
+			if err != nil && lastStatus != status {
+				slog.Debug("server not yet available", "error", err)
+				lastStatus = status
+				continue
+			}
+
+			switch status {
+			case ServerStatusLoadingModel:
+				// TODO - this state never seems to happen with the current server.cpp code (bug?)
+				// it doesn't respond to the health endpoint until after the model is loaded
+				slog.Debug("loading model")
+			case ServerStatusReady:
+				slog.Debug(fmt.Sprintf("llama runner started in %f seconds", time.Since(start).Seconds()))
+				return nil
+			}
+		}
+	}
+}
+
+const jsonGrammar = `
+root   ::= object
+value  ::= object | array | string | number | ("true" | "false" | "null") ws
+
+object ::=
+  "{" ws (
+            string ":" ws value
+    ("," ws string ":" ws value)*
+  )? "}" ws
+
+array  ::=
+  "[" ws (
+            value
+    ("," ws value)*
+  )? "]" ws
+
+string ::=
+  "\"" (
+    [^"\\] |
+    "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F]) # escapes
+  )* "\"" ws
+
+number ::= ("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? ws
+
+# Optional space: by convention, applied in this grammar after literal chars when allowed
+ws ::= ([ \t\n] ws)?
+`
+
+const maxBufferSize = 512 * format.KiloByte
+const maxRetries = 3
+
+type ImageData struct {
+	Data []byte `json:"data"`
+	ID   int    `json:"id"`
+}
+
+type completion struct {
+	Content string `json:"content"`
+	Model   string `json:"model"`
+	Prompt  string `json:"prompt"`
+	Stop    bool   `json:"stop"`
+
+	Timings struct {
+		PredictedN  int     `json:"predicted_n"`
+		PredictedMS float64 `json:"predicted_ms"`
+		PromptN     int     `json:"prompt_n"`
+		PromptMS    float64 `json:"prompt_ms"`
+	}
+}
+
+type CompletionRequest struct {
+	Prompt  string
+	Format  string
+	Images  []ImageData
+	Options api.Options
+}
+
+type CompletionResponse struct {
+	Content            string
+	Done               bool
+	PromptEvalCount    int
+	PromptEvalDuration time.Duration
+	EvalCount          int
+	EvalDuration       time.Duration
+}
+
+func (s *LlamaServer) Completion(ctx context.Context, req CompletionRequest, fn func(CompletionResponse)) error {
+	request := map[string]any{
+		"prompt":            req.Prompt,
+		"stream":            true,
+		"n_predict":         req.Options.NumPredict,
+		"n_keep":            req.Options.NumKeep,
+		"main_gpu":          req.Options.MainGPU,
+		"temperature":       req.Options.Temperature,
+		"top_k":             req.Options.TopK,
+		"top_p":             req.Options.TopP,
+		"tfs_z":             req.Options.TFSZ,
+		"typical_p":         req.Options.TypicalP,
+		"repeat_last_n":     req.Options.RepeatLastN,
+		"repeat_penalty":    req.Options.RepeatPenalty,
+		"presence_penalty":  req.Options.PresencePenalty,
+		"frequency_penalty": req.Options.FrequencyPenalty,
+		"mirostat":          req.Options.Mirostat,
+		"mirostat_tau":      req.Options.MirostatTau,
+		"mirostat_eta":      req.Options.MirostatEta,
+		"penalize_nl":       req.Options.PenalizeNewline,
+		"seed":              req.Options.Seed,
+		"stop":              req.Options.Stop,
+		"image_data":        req.Images,
+		"cache_prompt":      true,
+	}
+
+	// Make sure the server is ready
+	status, err := s.getServerStatus(ctx)
+	if err != nil {
+		return err
+	} else if status != ServerStatusReady {
+		return fmt.Errorf("unexpected server status: %d", status)
+	}
+
+	if req.Format == "json" {
+		request["grammar"] = jsonGrammar
+		if !strings.Contains(strings.ToLower(req.Prompt), "json") {
+			slog.Warn("Prompt does not specify that the LLM should response in JSON, but JSON format is expected. For best results specify that JSON is expected in the system prompt.")
+		}
+	}
+
+	retryDelay := 100 * time.Microsecond
+	for retries := 0; retries < maxRetries; retries++ {
+		if retries > 0 {
+			time.Sleep(retryDelay) // wait before retrying
+			retryDelay *= 2        // exponential backoff
+		}
+
+		// Handling JSON marshaling with special characters unescaped.
+		buffer := &bytes.Buffer{}
+		enc := json.NewEncoder(buffer)
+		enc.SetEscapeHTML(false)
+
+		if err := enc.Encode(request); err != nil {
+			return fmt.Errorf("failed to marshal data: %v", err)
+		}
+
+		endpoint := fmt.Sprintf("http://127.0.0.1:%d/completion", s.port)
+		req, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, buffer)
+		if err != nil {
+			return fmt.Errorf("error creating POST request: %v", err)
+		}
+		req.Header.Set("Content-Type", "application/json")
+
+		resp, err := http.DefaultClient.Do(req)
+		if err != nil {
+			return fmt.Errorf("POST predict: %v", err)
+		}
+		defer resp.Body.Close()
+
+		if resp.StatusCode >= 400 {
+			bodyBytes, err := io.ReadAll(resp.Body)
+			if err != nil {
+				return fmt.Errorf("failed reading llm error response: %w", err)
+			}
+			log.Printf("llm predict error: %s", bodyBytes)
+			return fmt.Errorf("%s", bodyBytes)
+		}
+
+		scanner := bufio.NewScanner(resp.Body)
+		buf := make([]byte, 0, maxBufferSize)
+		scanner.Buffer(buf, maxBufferSize)
+
+		retryNeeded := false
+		// keep track of the last token generated, this is used to abort if the model starts looping
+		var lastToken string
+		var tokenRepeat int
+
+		for scanner.Scan() {
+			select {
+			case <-ctx.Done():
+				// This handles the request cancellation
+				return ctx.Err()
+			default:
+				line := scanner.Bytes()
+				if len(line) == 0 {
+					continue
+				}
+
+				// try again on slot unavailable
+				if bytes.Contains(line, []byte("slot unavailable")) {
+					retryNeeded = true
+					break
+				}
+
+				evt, ok := bytes.CutPrefix(line, []byte("data: "))
+				if !ok {
+					return fmt.Errorf("error parsing llm response stream: %s", line)
+				}
+
+				var c completion
+				if err := json.Unmarshal(evt, &c); err != nil {
+					return fmt.Errorf("error unmarshaling llm prediction response: %v", err)
+				}
+
+				switch {
+				case strings.TrimSpace(c.Content) == lastToken:
+					tokenRepeat++
+				default:
+					lastToken = strings.TrimSpace(c.Content)
+					tokenRepeat = 0
+				}
+
+				// 30 picked as an arbitrary max token repeat limit, modify as needed
+				if tokenRepeat > 30 {
+					slog.Debug("prediction aborted, token repeat limit reached")
+					return ctx.Err()
+				}
+
+				if c.Content != "" {
+					fn(CompletionResponse{
+						Content: c.Content,
+					})
+				}
+
+				if c.Stop {
+					fn(CompletionResponse{
+						Done:               true,
+						PromptEvalCount:    c.Timings.PromptN,
+						PromptEvalDuration: parseDurationMs(c.Timings.PromptMS),
+						EvalCount:          c.Timings.PredictedN,
+						EvalDuration:       parseDurationMs(c.Timings.PredictedMS),
+					})
+					return nil
+				}
+			}
+		}
+
+		if err := scanner.Err(); err != nil {
+			if strings.Contains(err.Error(), "unexpected EOF") {
+				s.Close()
+				msg := ""
+				if s.status != nil && s.status.LastErrMsg != "" {
+					msg = s.status.LastErrMsg
+				}
+
+				return fmt.Errorf("an unknown error was encountered while running the model %s", msg)
+			}
+			return fmt.Errorf("error reading llm response: %v", err)
+		}
+
+		if !retryNeeded {
+			return nil // success
+		}
+	}
+
+	// should never reach here ideally
+	return fmt.Errorf("max retries exceeded")
+}
+
+type EmbeddingRequest struct {
+	Content string `json:"content"`
+}
+
+type EmbeddingResponse struct {
+	Embedding []float64 `json:"embedding"`
+}
+
+func (s *LlamaServer) Embedding(ctx context.Context, prompt string) ([]float64, error) {
+	// Make sure the server is ready
+	status, err := s.getServerStatus(ctx)
+	if err != nil {
+		return nil, err
+	} else if status != ServerStatusReady {
+		return nil, fmt.Errorf("unexpected server status: %d", status)
+	}
+
+	data, err := json.Marshal(TokenizeRequest{Content: prompt})
+	if err != nil {
+		return nil, fmt.Errorf("error marshaling embed data: %w", err)
+	}
+
+	req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/embedding", s.port), bytes.NewBuffer(data))
+	if err != nil {
+		return nil, fmt.Errorf("error creating embed request: %w", err)
+	}
+	req.Header.Set("Content-Type", "application/json")
+
+	resp, err := http.DefaultClient.Do(req)
+	if err != nil {
+		return nil, fmt.Errorf("do embedding request: %w", err)
+	}
+	defer resp.Body.Close()
+
+	body, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return nil, fmt.Errorf("error reading embed response: %w", err)
+	}
+
+	if resp.StatusCode >= 400 {
+		log.Printf("llm encode error: %s", body)
+		return nil, fmt.Errorf("%s", body)
+	}
+
+	var embedding EmbeddingResponse
+	if err := json.Unmarshal(body, &embedding); err != nil {
+		return nil, fmt.Errorf("unmarshal tokenize response: %w", err)
+	}
+
+	return embedding.Embedding, nil
+}
+
+type TokenizeRequest struct {
+	Content string `json:"content"`
+}
+
+type TokenizeResponse struct {
+	Tokens []int `json:"tokens"`
+}
+
+func (s *LlamaServer) Tokenize(ctx context.Context, content string) ([]int, error) {
+	// Make sure the server is ready
+	status, err := s.getServerStatus(ctx)
+	if err != nil {
+		return nil, err
+	} else if status != ServerStatusReady {
+		return nil, fmt.Errorf("unexpected server status: %d", status)
+	}
+
+	data, err := json.Marshal(TokenizeRequest{Content: content})
+	if err != nil {
+		return nil, fmt.Errorf("marshaling encode data: %w", err)
+	}
+
+	req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/tokenize", s.port), bytes.NewBuffer(data))
+	if err != nil {
+		return nil, fmt.Errorf("encode request: %w", err)
+	}
+	req.Header.Set("Content-Type", "application/json")
+
+	resp, err := http.DefaultClient.Do(req)
+	if err != nil {
+		return nil, fmt.Errorf("do encode request: %w", err)
+	}
+	defer resp.Body.Close()
+
+	body, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return nil, fmt.Errorf("read encode request: %w", err)
+	}
+
+	if resp.StatusCode >= 400 {
+		log.Printf("llm encode error: %s", body)
+		return nil, fmt.Errorf("%s", body)
+	}
+
+	var encoded TokenizeResponse
+	if err := json.Unmarshal(body, &encoded); err != nil {
+		return nil, fmt.Errorf("unmarshal encode response: %w", err)
+	}
+
+	return encoded.Tokens, nil
+}
+
+type DetokenizeRequest struct {
+	Tokens []int `json:"tokens"`
+}
+
+type DetokenizeResponse struct {
+	Content string `json:"content"`
+}
+
+func (s *LlamaServer) Detokenize(ctx context.Context, tokens []int) (string, error) {
+	// Make sure the server is ready
+	status, err := s.getServerStatus(ctx)
+	if err != nil {
+		return "", err
+	} else if status != ServerStatusReady {
+		return "", fmt.Errorf("unexpected server status: %d", status)
+	}
+
+	data, err := json.Marshal(DetokenizeRequest{Tokens: tokens})
+	if err != nil {
+		return "", fmt.Errorf("marshaling decode data: %w", err)
+	}
+
+	req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/detokenize", s.port), bytes.NewBuffer(data))
+	if err != nil {
+		return "", fmt.Errorf("decode request: %w", err)
+	}
+	req.Header.Set("Content-Type", "application/json")
+
+	resp, err := http.DefaultClient.Do(req)
+	if err != nil {
+		return "", fmt.Errorf("do decode request: %w", err)
+	}
+	defer resp.Body.Close()
+
+	body, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return "", fmt.Errorf("read decode request: %w", err)
+	}
+
+	if resp.StatusCode >= 400 {
+		log.Printf("llm decode error: %s", body)
+		return "", fmt.Errorf("%s", body)
+	}
+
+	var decoded DetokenizeResponse
+	if err := json.Unmarshal(body, &decoded); err != nil {
+		return "", fmt.Errorf("unmarshal encode response: %w", err)
+	}
+
+	return decoded.Content, nil
+}
+
+func (s *LlamaServer) Close() error {
+	if s.cmd != nil {
+		slog.Debug("stopping llama server")
+		return s.cmd.Process.Kill()
+	}
+
+	return nil
+}
+
+func parseDurationMs(ms float64) time.Duration {
+	dur, err := time.ParseDuration(fmt.Sprintf("%fms", ms))
+	if err != nil {
+		panic(err)
+	}
+
+	return dur
+}

llm/status.go

@@ -0,0 +1,42 @@
+package llm
+
+import (
+	"bytes"
+	"os"
+)
+
+// StatusWriter is a writer that captures error messages from the llama runner process
+type StatusWriter struct {
+	LastErrMsg string
+	out        *os.File
+}
+
+func NewStatusWriter(out *os.File) *StatusWriter {
+	return &StatusWriter{
+		out: out,
+	}
+}
+
+// TODO - regex matching to detect errors like
+// libcublasLt.so.11: cannot open shared object file: No such file or directory
+
+var errorPrefixes = []string{
+	"error:",
+	"CUDA error",
+	"cudaMalloc failed",
+	"\"ERR\"",
+}
+
+func (w *StatusWriter) Write(b []byte) (int, error) {
+	var errMsg string
+	for _, prefix := range errorPrefixes {
+		if _, after, ok := bytes.Cut(b, []byte(prefix)); ok {
+			errMsg = prefix + string(bytes.TrimSpace(after))
+		}
+	}
+	if errMsg != "" {
+		w.LastErrMsg = errMsg
+	}
+
+	return w.out.Write(b)
+}

llm/utils.go

@@ -1,15 +0,0 @@
-package llm
-
-import (
-	"fmt"
-	"time"
-)
-
-func parseDurationMs(ms float64) time.Duration {
-	dur, err := time.ParseDuration(fmt.Sprintf("%fms", ms))
-	if err != nil {
-		panic(err)
-	}
-
-	return dur
-}

macapp/README.md

@@ -14,7 +14,7 @@ go build .
 Then run the desktop app with `npm start`:
 
 ```
-cd app
+cd macapp
 npm install
 npm start
 ```

readline/history.go

@@ -142,7 +142,9 @@ func (h *History) Save() error {
 	for cnt := 0; cnt < h.Size(); cnt++ {
 		v, _ := h.Buf.Get(cnt)
 		line, _ := v.([]rune)
-		buf.WriteString(string(line) + "\n")
+		if _, err := buf.WriteString(string(line) + "\n"); err != nil {
+			return err
+		}
 	}
 	buf.Flush()
 	f.Close()

scripts/build_docker.sh

@@ -10,7 +10,7 @@ export GOFLAGS="'-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=$V
 # For developers, you can override the DOCKER_ORG to generate multiarch manifests
 #  DOCKER_ORG=jdoe PUSH=1 ./scripts/build_docker.sh
 DOCKER_ORG=${DOCKER_ORG:-"ollama"}
-ARCH_IMAGE_REPO=${ARCH_IMAGE_REPO:-"${DOCKER_ORG}/release"}
+RELEASE_IMAGE_REPO=${RELEASE_IMAGE_REPO:-"${DOCKER_ORG}/release"}
 FINAL_IMAGE_REPO=${FINAL_IMAGE_REPO:-"${DOCKER_ORG}/ollama"}
 
 BUILD_ARCH=${BUILD_ARCH:-"amd64 arm64"}
@@ -25,7 +25,7 @@ OLLAMA_SKIP_IMAGE_BUILD=${OLLAMA_SKIP_IMAGE_BUILD:-""}
 if [ -z "${PUSH}" ] ; then
     LOAD_OR_PUSH="--load"
 else
-    echo "Will be pushing ${ARCH_IMAGE_REPO}:$VERSION for ${BUILD_ARCH}"
+    echo "Will be pushing ${RELEASE_IMAGE_REPO}:$VERSION for ${BUILD_ARCH}"
     LOAD_OR_PUSH="--push"
 fi
 
@@ -37,7 +37,7 @@ if [ -z "${OLLAMA_SKIP_IMAGE_BUILD}" ]; then
             --build-arg=VERSION \
             --build-arg=GOFLAGS \
             -f Dockerfile \
-            -t ${ARCH_IMAGE_REPO}:$VERSION-${TARGETARCH} \
+            -t ${RELEASE_IMAGE_REPO}:$VERSION-${TARGETARCH} \
             .
     done
 
@@ -49,7 +49,7 @@ if [ -z "${OLLAMA_SKIP_IMAGE_BUILD}" ]; then
             --build-arg=GOFLAGS \
             --target runtime-rocm \
             -f Dockerfile \
-            -t ${ARCH_IMAGE_REPO}:$VERSION-rocm \
+            -t ${RELEASE_IMAGE_REPO}:$VERSION-rocm \
             .
     fi
 fi
@@ -57,21 +57,21 @@ fi
 if [ -z "${OLLAMA_SKIP_MANIFEST_CREATE}" ]; then
     if [ -n "${PUSH}" ]; then
         docker manifest create ${FINAL_IMAGE_REPO}:$VERSION \
-            ${ARCH_IMAGE_REPO}:$VERSION-amd64 \
-            ${ARCH_IMAGE_REPO}:$VERSION-arm64
+            ${RELEASE_IMAGE_REPO}:$VERSION-amd64 \
+            ${RELEASE_IMAGE_REPO}:$VERSION-arm64
         docker manifest push ${FINAL_IMAGE_REPO}:$VERSION
 
         # For symmetry, tag/push the rocm image
-        if [ "${ARCH_IMAGE_REPO}" != "${FINAL_IMAGE_REPO}" ]; then
+        if [ "${RELEASE_IMAGE_REPO}" != "${FINAL_IMAGE_REPO}" ]; then
             echo "Tagging and pushing rocm image"
-            docker pull ${ARCH_IMAGE_REPO}:$VERSION-rocm
-            docker tag ${ARCH_IMAGE_REPO}:$VERSION-rocm ${FINAL_IMAGE_REPO}:$VERSION-rocm
+            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 "  ${ARCH_IMAGE_REPO}:$VERSION-amd64"
-        echo "  ${ARCH_IMAGE_REPO}:$VERSION-arm64"
-        echo "  ${ARCH_IMAGE_REPO}:$VERSION-rocm"
+        echo "  ${RELEASE_IMAGE_REPO}:$VERSION-amd64"
+        echo "  ${RELEASE_IMAGE_REPO}:$VERSION-arm64"
+        echo "  ${RELEASE_IMAGE_REPO}:$VERSION-rocm"
     fi
 fi

scripts/tag_latest.sh

@@ -0,0 +1,33 @@
+#!/bin/sh
+
+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=${DOCKER_ORG:-"ollama"}
+RELEASE_IMAGE_REPO=${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
+
+

server/download.go

@@ -247,7 +247,8 @@ func (b *blobDownload) downloadChunk(ctx context.Context, requestURL *url.URL, w
 				}
 
 				if !part.lastUpdated.IsZero() && time.Since(part.lastUpdated) > 5*time.Second {
-					slog.Info(fmt.Sprintf("%s part %d stalled; retrying", b.Digest[7:19], part.N))
+					const msg = "%s part %d stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."
+					slog.Info(fmt.Sprintf(msg, b.Digest[7:19], part.N))
 					// reset last updated
 					part.lastUpdated = time.Time{}
 					return errPartStalled

server/images.go

@@ -26,6 +26,7 @@ import (
 
 	"github.com/ollama/ollama/api"
 	"github.com/ollama/ollama/convert"
+	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/llm"
 	"github.com/ollama/ollama/parser"
 	"github.com/ollama/ollama/version"
@@ -283,7 +284,7 @@ func realpath(mfDir, from string) string {
 	return abspath
 }
 
-func CreateModel(ctx context.Context, name, modelFileDir string, commands []parser.Command, fn func(resp api.ProgressResponse)) error {
+func CreateModel(ctx context.Context, name, modelFileDir, quantization string, commands []parser.Command, fn func(resp api.ProgressResponse)) error {
 	deleteMap := make(map[string]struct{})
 	if manifest, _, err := GetManifest(ParseModelPath(name)); err == nil {
 		for _, layer := range append(manifest.Layers, manifest.Config) {
@@ -321,7 +322,7 @@ func CreateModel(ctx context.Context, name, modelFileDir string, commands []pars
 
 			pathName := realpath(modelFileDir, c.Args)
 
-			ggufName, err := convertSafetensors(name, pathName)
+			ggufName, err := convertSafetensors(name, pathName, fn)
 			if err != nil {
 				var pathErr *fs.PathError
 				switch {
@@ -337,6 +338,26 @@ func CreateModel(ctx context.Context, name, modelFileDir string, commands []pars
 			if ggufName != "" {
 				pathName = ggufName
 				defer os.RemoveAll(ggufName)
+
+				if quantization != "" {
+					quantization = strings.ToUpper(quantization)
+					fn(api.ProgressResponse{Status: fmt.Sprintf("quantizing %s model to %s", "F16", quantization)})
+					tempfile, err := os.CreateTemp(filepath.Dir(ggufName), quantization)
+					if err != nil {
+						return err
+					}
+					defer os.RemoveAll(tempfile.Name())
+
+					if err := llm.Quantize(ggufName, tempfile.Name(), quantization); err != nil {
+						return err
+					}
+
+					if err := tempfile.Close(); err != nil {
+						return err
+					}
+
+					pathName = tempfile.Name()
+				}
 			}
 
 			bin, err := os.Open(pathName)
@@ -419,34 +440,32 @@ func CreateModel(ctx context.Context, name, modelFileDir string, commands []pars
 			defer bin.Close()
 
 			var offset int64
-		CREATE:
 			for {
 				fn(api.ProgressResponse{Status: "creating model layer"})
+				if _, err := bin.Seek(offset, io.SeekStart); err != nil {
+					return err
+				}
 
-				bin.Seek(offset, io.SeekStart)
-				ggml, err := llm.DecodeGGML(bin)
-				if err != nil {
-					switch {
-					case errors.Is(err, io.EOF):
-						break CREATE
-					case errors.Is(err, llm.ErrUnsupportedFormat):
-						return fmt.Errorf("model binary specified in FROM field is not a valid gguf format model, %w", err)
-					default:
-						return err
-					}
+				ggml, size, err := llm.DecodeGGML(bin)
+				if errors.Is(err, io.EOF) {
+					break
+				} else if errors.Is(err, llm.ErrUnsupportedFormat) {
+					return fmt.Errorf("model binary specified in FROM field is not a valid gguf format model, %w", err)
+				} else if err != nil {
+					return err
 				}
 
 				config.SetModelFormat(ggml.Name())
-				config.SetModelFamily(ggml.ModelFamily())
-				config.SetModelType(ggml.ModelType())
-				config.SetFileType(ggml.FileType())
+				config.SetModelFamily(ggml.KV().Architecture())
+				config.SetModelType(format.HumanNumber(ggml.KV().ParameterCount()))
+				config.SetFileType(ggml.KV().FileType())
 
 				mediatype := mediatype
-				if ggml.ModelFamily() == "clip" {
+				if ggml.KV().Architecture() == "clip" {
 					mediatype = "application/vnd.ollama.image.projector"
 				}
 
-				sr := io.NewSectionReader(bin, offset, ggml.Size)
+				sr := io.NewSectionReader(bin, offset, size)
 				layer, err := NewLayer(sr, mediatype)
 				if err != nil {
 					return err
@@ -454,7 +473,7 @@ func CreateModel(ctx context.Context, name, modelFileDir string, commands []pars
 
 				layers.Add(layer)
 
-				offset += ggml.Size
+				offset += size
 			}
 		case "adapter":
 			if strings.HasPrefix(c.Args, "@") {
@@ -473,12 +492,12 @@ func CreateModel(ctx context.Context, name, modelFileDir string, commands []pars
 			}
 			defer bin.Close()
 
-			ggml, err := llm.DecodeGGML(bin)
+			_, size, err := llm.DecodeGGML(bin)
 			if err != nil {
 				return err
 			}
 
-			sr := io.NewSectionReader(bin, 0, ggml.Size)
+			sr := io.NewSectionReader(bin, 0, size)
 			layer, err := NewLayer(sr, mediatype)
 			if err != nil {
 				return err
@@ -550,13 +569,6 @@ func CreateModel(ctx context.Context, name, modelFileDir string, commands []pars
 			}
 		}
 
-		// xxx - can this be removed?
-		if config.ModelType == "65B" {
-			if gqa, ok := formattedParams["gqa"].(int); ok && gqa == 8 {
-				config.ModelType = "70B"
-			}
-		}
-
 		var b bytes.Buffer
 		if err := json.NewEncoder(&b).Encode(formattedParams); err != nil {
 			return err
@@ -621,8 +633,8 @@ func CreateModel(ctx context.Context, name, modelFileDir string, commands []pars
 	return nil
 }
 
-func convertSafetensors(name, fn string) (string, error) {
-	r, err := zip.OpenReader(fn)
+func convertSafetensors(name, path string, fn func(resp api.ProgressResponse)) (string, error) {
+	r, err := zip.OpenReader(path)
 	if err != nil {
 		return "", err
 	}
@@ -634,6 +646,7 @@ func convertSafetensors(name, fn string) (string, error) {
 	}
 	defer os.RemoveAll(tempDir)
 
+	fn(api.ProgressResponse{Status: "unpacking model metadata"})
 	for _, f := range r.File {
 		fpath := filepath.Join(tempDir, f.Name)
 		outFile, err := os.OpenFile(fpath, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, f.Mode())
@@ -660,32 +673,27 @@ func convertSafetensors(name, fn string) (string, error) {
 		return "", err
 	}
 
-	SupportedArchs := []string{
-		"MistralForCausalLM",
-	}
-
-	for _, arch := range params.Architectures {
-		if !slices.Contains(SupportedArchs, arch) {
-			return "", fmt.Errorf("this safetensors model is not yet supported")
-		}
-	}
-
-	t, err := convert.GetSafeTensors(tempDir)
+	mArch, err := convert.GetModelArchFromParams(name, tempDir, params)
 	if err != nil {
 		return "", err
 	}
 
-	vocab, err := convert.LoadTokens(tempDir)
+	fn(api.ProgressResponse{Status: "processing safetensors"})
+	if err := mArch.GetTensors(); err != nil {
+		return "", err
+	}
+
+	if err := mArch.LoadVocab(); err != nil {
+		return "", err
+	}
+
+	fn(api.ProgressResponse{Status: "converting model"})
+	path, err = mArch.WriteGGUF()
 	if err != nil {
 		return "", err
 	}
 
-	fn, err = convert.WriteGGUF(name, t, params, vocab)
-	if err != nil {
-		return "", err
-	}
-
-	return fn, nil
+	return path, nil
 }
 
 func CopyModel(src, dest string) error {

server/routes.go

@@ -56,12 +56,13 @@ func init() {
 var loaded struct {
 	mu sync.Mutex
 
-	runner llm.LLM
+	llama *llm.LlamaServer
 
-	expireAt    time.Time
 	expireTimer *time.Timer
 
-	*Model
+	model      string
+	adapters   []string
+	projectors []string
 	*api.Options
 }
 
@@ -69,21 +70,28 @@ var defaultSessionDuration = 5 * time.Minute
 
 // load a model into memory if it is not already loaded, it is up to the caller to lock loaded.mu before calling this function
 func load(c *gin.Context, model *Model, opts api.Options, sessionDuration time.Duration) error {
-	needLoad := loaded.runner == nil || // is there a model loaded?
-		loaded.ModelPath != model.ModelPath || // has the base model changed?
-		!reflect.DeepEqual(loaded.AdapterPaths, model.AdapterPaths) || // have the adapters changed?
-		!reflect.DeepEqual(loaded.Options.Runner, opts.Runner) // have the runner options changed?
+	ctx, cancel := context.WithTimeout(c, 10*time.Second)
+	defer cancel()
+
+	needLoad := loaded.llama == nil || // is there a model loaded?
+		loaded.model != model.ModelPath || // has the base model changed?
+		!reflect.DeepEqual(loaded.adapters, model.AdapterPaths) || // have the adapters changed?
+		!reflect.DeepEqual(loaded.projectors, model.ProjectorPaths) || // have the adapters changed?
+		!reflect.DeepEqual(loaded.Options.Runner, opts.Runner) || // have the runner options changed?
+		loaded.llama.Ping(ctx) != nil
 
 	if needLoad {
-		if loaded.runner != nil {
+		if loaded.llama != nil {
 			slog.Info("changing loaded model")
-			loaded.runner.Close()
-			loaded.runner = nil
-			loaded.Model = nil
+			loaded.llama.Close()
+			loaded.llama = nil
+			loaded.model = ""
+			loaded.adapters = nil
+			loaded.projectors = nil
 			loaded.Options = nil
 		}
 
-		llmRunner, err := llm.New(model.ModelPath, model.AdapterPaths, model.ProjectorPaths, opts)
+		llama, err := llm.NewLlamaServer(model.ModelPath, model.AdapterPaths, model.ProjectorPaths, opts)
 		if err != nil {
 			// some older models are not compatible with newer versions of llama.cpp
 			// show a generalized compatibility error until there is a better way to
@@ -95,28 +103,26 @@ func load(c *gin.Context, model *Model, opts api.Options, sessionDuration time.D
 			return err
 		}
 
-		loaded.Model = model
-		loaded.runner = llmRunner
+		loaded.model = model.ModelPath
+		loaded.adapters = model.AdapterPaths
+		loaded.projectors = model.ProjectorPaths
+		loaded.llama = llama
 		loaded.Options = &opts
 	}
 
-	loaded.expireAt = time.Now().Add(sessionDuration)
-
 	if loaded.expireTimer == nil {
 		loaded.expireTimer = time.AfterFunc(sessionDuration, func() {
 			loaded.mu.Lock()
 			defer loaded.mu.Unlock()
 
-			if time.Now().Before(loaded.expireAt) {
-				return
+			if loaded.llama != nil {
+				loaded.llama.Close()
 			}
 
-			if loaded.runner != nil {
-				loaded.runner.Close()
-			}
-
-			loaded.runner = nil
-			loaded.Model = nil
+			loaded.llama = nil
+			loaded.model = ""
+			loaded.adapters = nil
+			loaded.projectors = nil
 			loaded.Options = nil
 		})
 	}
@@ -265,7 +271,7 @@ func GenerateHandler(c *gin.Context) {
 
 		sb.Reset()
 		if req.Context != nil {
-			prev, err := loaded.runner.Decode(c.Request.Context(), req.Context)
+			prev, err := loaded.llama.Detokenize(c.Request.Context(), req.Context)
 			if err != nil {
 				c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
 				return
@@ -286,9 +292,8 @@ func GenerateHandler(c *gin.Context) {
 	go func() {
 		defer close(ch)
 
-		fn := func(r llm.PredictResult) {
+		fn := func(r llm.CompletionResponse) {
 			// Update model expiration
-			loaded.expireAt = time.Now().Add(sessionDuration)
 			loaded.expireTimer.Reset(sessionDuration)
 
 			// Build up the full response
@@ -322,7 +327,7 @@ func GenerateHandler(c *gin.Context) {
 					}
 
 					// TODO (jmorganca): encode() should not strip special tokens
-					tokens, err := loaded.runner.Encode(c.Request.Context(), p)
+					tokens, err := loaded.llama.Tokenize(c.Request.Context(), p)
 					if err != nil {
 						ch <- gin.H{"error": err.Error()}
 						return
@@ -344,13 +349,13 @@ func GenerateHandler(c *gin.Context) {
 		}
 
 		// Start prediction
-		predictReq := llm.PredictOpts{
+		req := llm.CompletionRequest{
 			Prompt:  prompt,
 			Format:  req.Format,
 			Images:  images,
 			Options: opts,
 		}
-		if err := loaded.runner.Predict(c.Request.Context(), predictReq, fn); err != nil {
+		if err := loaded.llama.Completion(c.Request.Context(), req, fn); err != nil {
 			ch <- gin.H{"error": err.Error()}
 		}
 	}()
@@ -471,7 +476,7 @@ func EmbeddingsHandler(c *gin.Context) {
 		return
 	}
 
-	embedding, err := loaded.runner.Embedding(c.Request.Context(), req.Prompt)
+	embedding, err := loaded.llama.Embedding(c.Request.Context(), req.Prompt)
 	if err != nil {
 		slog.Info(fmt.Sprintf("embedding generation failed: %v", err))
 		c.JSON(http.StatusInternalServerError, gin.H{"error": "failed to generate embedding"})
@@ -642,7 +647,7 @@ func CreateModelHandler(c *gin.Context) {
 		ctx, cancel := context.WithCancel(c.Request.Context())
 		defer cancel()
 
-		if err := CreateModel(ctx, model, filepath.Dir(req.Path), commands, fn); err != nil {
+		if err := CreateModel(ctx, model, filepath.Dir(req.Path), req.Quantization, commands, fn); err != nil {
 			ch <- gin.H{"error": err.Error()}
 		}
 	}()
@@ -908,6 +913,24 @@ func HeadBlobHandler(c *gin.Context) {
 }
 
 func CreateBlobHandler(c *gin.Context) {
+	path, err := GetBlobsPath(c.Param("digest"))
+	if err != nil {
+		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
+		return
+	}
+
+	_, err = os.Stat(path)
+	switch {
+	case errors.Is(err, os.ErrNotExist):
+		// noop
+	case err != nil:
+		c.AbortWithStatusJSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		return
+	default:
+		c.Status(http.StatusOK)
+		return
+	}
+
 	layer, err := NewLayer(c.Request.Body, "")
 	if err != nil {
 		c.AbortWithStatusJSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
@@ -1013,16 +1036,14 @@ func allowedHostsMiddleware(addr net.Addr) gin.HandlerFunc {
 }
 
 func (s *Server) GenerateRoutes() http.Handler {
-	var origins []string
-	if o := os.Getenv("OLLAMA_ORIGINS"); o != "" {
-		origins = strings.Split(o, ",")
-	}
-
 	config := cors.DefaultConfig()
 	config.AllowWildcard = true
 	config.AllowBrowserExtensions = true
 
-	config.AllowOrigins = origins
+	if allowedOrigins := strings.Trim(os.Getenv("OLLAMA_ORIGINS"), "\"'"); allowedOrigins != "" {
+		config.AllowOrigins = strings.Split(allowedOrigins, ",")
+	}
+
 	for _, allowOrigin := range defaultAllowOrigins {
 		config.AllowOrigins = append(config.AllowOrigins,
 			fmt.Sprintf("http://%s", allowOrigin),
@@ -1125,8 +1146,8 @@ func Serve(ln net.Listener) error {
 	signal.Notify(signals, syscall.SIGINT, syscall.SIGTERM)
 	go func() {
 		<-signals
-		if loaded.runner != nil {
-			loaded.runner.Close()
+		if loaded.llama != nil {
+			loaded.llama.Close()
 		}
 		gpu.Cleanup()
 		os.Exit(0)
@@ -1198,7 +1219,7 @@ func streamResponse(c *gin.Context, ch chan any) {
 // ChatPrompt builds up a prompt from a series of messages for the currently `loaded` model
 func chatPrompt(ctx context.Context, template string, messages []api.Message, numCtx int) (string, error) {
 	encode := func(s string) ([]int, error) {
-		return loaded.runner.Encode(ctx, s)
+		return loaded.llama.Tokenize(ctx, s)
 	}
 
 	prompt, err := ChatPrompt(template, messages, numCtx, encode)
@@ -1328,9 +1349,8 @@ func ChatHandler(c *gin.Context) {
 	go func() {
 		defer close(ch)
 
-		fn := func(r llm.PredictResult) {
+		fn := func(r llm.CompletionResponse) {
 			// Update model expiration
-			loaded.expireAt = time.Now().Add(sessionDuration)
 			loaded.expireTimer.Reset(sessionDuration)
 
 			resp := api.ChatResponse{
@@ -1354,14 +1374,12 @@ func ChatHandler(c *gin.Context) {
 			ch <- resp
 		}
 
-		// Start prediction
-		predictReq := llm.PredictOpts{
+		if err := loaded.llama.Completion(c.Request.Context(), llm.CompletionRequest{
 			Prompt:  prompt,
 			Format:  req.Format,
 			Images:  images,
 			Options: opts,
-		}
-		if err := loaded.runner.Predict(c.Request.Context(), predictReq, fn); err != nil {
+		}, fn); err != nil {
 			ch <- gin.H{"error": err.Error()}
 		}
 	}()

server/routes_test.go

@@ -3,6 +3,7 @@ package server
 import (
 	"bytes"
 	"context"
+	"encoding/binary"
 	"encoding/json"
 	"fmt"
 	"io"
@@ -16,7 +17,6 @@ import (
 	"github.com/stretchr/testify/assert"
 
 	"github.com/ollama/ollama/api"
-	"github.com/ollama/ollama/llm"
 	"github.com/ollama/ollama/parser"
 	"github.com/ollama/ollama/version"
 )
@@ -31,13 +31,22 @@ func Test_Routes(t *testing.T) {
 	}
 
 	createTestFile := func(t *testing.T, name string) string {
+		t.Helper()
+
 		f, err := os.CreateTemp(t.TempDir(), name)
 		assert.Nil(t, err)
 		defer f.Close()
 
-		_, err = f.Write([]byte("GGUF"))
+		err = binary.Write(f, binary.LittleEndian, []byte("GGUF"))
 		assert.Nil(t, err)
-		_, err = f.Write([]byte{0x2, 0})
+
+		err = binary.Write(f, binary.LittleEndian, uint32(3))
+		assert.Nil(t, err)
+
+		err = binary.Write(f, binary.LittleEndian, uint64(0))
+		assert.Nil(t, err)
+
+		err = binary.Write(f, binary.LittleEndian, uint64(0))
 		assert.Nil(t, err)
 
 		return f.Name()
@@ -52,7 +61,7 @@ func Test_Routes(t *testing.T) {
 		fn := func(resp api.ProgressResponse) {
 			t.Logf("Status: %s", resp.Status)
 		}
-		err = CreateModel(context.TODO(), name, "", commands, fn)
+		err = CreateModel(context.TODO(), name, "", "", commands, fn)
 		assert.Nil(t, err)
 	}
 
@@ -201,7 +210,7 @@ func Test_Routes(t *testing.T) {
 		},
 	}
 
-	s := Server{}
+	s := &Server{}
 	router := s.GenerateRoutes()
 
 	httpSrv := httptest.NewServer(router)
@@ -232,27 +241,3 @@ func Test_Routes(t *testing.T) {
 
 	}
 }
-
-type MockLLM struct {
-	encoding []int
-}
-
-func (llm *MockLLM) Predict(ctx context.Context, pred llm.PredictOpts, fn func(llm.PredictResult)) error {
-	return nil
-}
-
-func (llm *MockLLM) Encode(ctx context.Context, prompt string) ([]int, error) {
-	return llm.encoding, nil
-}
-
-func (llm *MockLLM) Decode(ctx context.Context, tokens []int) (string, error) {
-	return "", nil
-}
-
-func (llm *MockLLM) Embedding(ctx context.Context, input string) ([]float64, error) {
-	return []float64{}, nil
-}
-
-func (llm *MockLLM) Close() {
-	// do nothing
-}

types/model/digest.go

@@ -0,0 +1,83 @@
+package model
+
+import (
+	"database/sql"
+	"database/sql/driver"
+	"errors"
+	"fmt"
+	"log/slog"
+	"strings"
+	"unicode"
+)
+
+// Digest represents a digest of a model Manifest. It is a comparable value
+// type and is immutable.
+//
+// The zero Digest is not a valid digest.
+type Digest struct {
+	s string
+}
+
+// Type returns the digest type of the digest.
+//
+// Example:
+//
+//	ParseDigest("sha256-1234").Type() // returns "sha256"
+func (d Digest) Type() string {
+	typ, _, _ := strings.Cut(d.s, "-")
+	return typ
+}
+
+// String returns the digest in the form of "<digest-type>-<digest>", or the
+// empty string if the digest is invalid.
+func (d Digest) String() string { return d.s }
+
+// IsValid returns true if the digest is valid (not zero).
+//
+// A valid digest may be created only by ParseDigest, or
+// ParseName(name).Digest().
+func (d Digest) IsValid() bool { return d.s != "" }
+
+// LogValue implements slog.Value.
+func (d Digest) LogValue() slog.Value {
+	return slog.StringValue(d.String())
+}
+
+var (
+	_ slog.LogValuer = Digest{}
+)
+
+// ParseDigest parses a string in the form of "<digest-type>-<digest>" into a
+// Digest.
+func ParseDigest(s string) Digest {
+	typ, digest, ok := strings.Cut(s, "-")
+	if ok && isValidDigestType(typ) && isValidHex(digest) {
+		return Digest{s: s}
+	}
+	return Digest{}
+}
+
+func isValidDigestType(s string) bool {
+	if len(s) == 0 {
+		return false
+	}
+	for _, r := range s {
+		if !unicode.IsLower(r) && !unicode.IsDigit(r) {
+			return false
+		}
+	}
+	return true
+}
+
+func isValidHex(s string) bool {
+	if len(s) == 0 {
+		return false
+	}
+	for i := range s {
+		c := s[i]
+		if c < '0' || c > '9' && c < 'a' || c > 'f' {
+			return false
+		}
+	}
+	return true
+}

types/model/digest_test.go

@@ -0,0 +1,46 @@
+package model
+
+import "testing"
+
+var testDigests = map[string]Digest{
+	"":                 {},
+	"sha256-1234":      {s: "sha256-1234"},
+	"sha256-5678":      {s: "sha256-5678"},
+	"blake2-9abc":      {s: "blake2-9abc"},
+	"-1234":            {},
+	"sha256-":          {},
+	"sha256-1234-5678": {},
+	"sha256-P":         {}, //         invalid  hex
+	"sha256-1234P":     {},
+	"---":              {},
+}
+
+func TestDigestParse(t *testing.T) {
+	// Test cases.
+	for s, want := range testDigests {
+		got := ParseDigest(s)
+		t.Logf("ParseDigest(%q) = %#v", s, got)
+		if got != want {
+			t.Errorf("ParseDigest(%q) = %q; want %q", s, got, want)
+		}
+	}
+}
+
+func TestDigestString(t *testing.T) {
+	// Test cases.
+	for s, d := range testDigests {
+		want := s
+		if !d.IsValid() {
+			want = ""
+		}
+		got := d.String()
+		if got != want {
+			t.Errorf("ParseDigest(%q).String() = %q; want %q", s, got, want)
+		}
+
+		got = ParseDigest(s).String()
+		if got != want {
+			t.Errorf("roundtrip ParseDigest(%q).String() = %q; want %q", s, got, want)
+		}
+	}
+}

types/model/name.go

@@ -0,0 +1,572 @@
+package model
+
+import (
+	"cmp"
+	"errors"
+	"hash/maphash"
+	"io"
+	"log/slog"
+	"slices"
+	"strings"
+	"sync"
+
+	"github.com/ollama/ollama/types/structs"
+)
+
+// Errors
+var (
+	// ErrInvalidName, ErrIncompleteName, and ErrInvalidDigest are not
+	// used by this package, but are exported so that other packages can
+	// use them, instead of defining their own errors for them.
+	ErrInvalidName    = errors.New("invalid model name")
+	ErrIncompleteName = errors.New("incomplete model name")
+	ErrInvalidDigest  = errors.New("invalid digest")
+)
+
+// Defaults
+const (
+	// DefaultMask is the default mask used by [Name.DisplayShortest].
+	DefaultMask = "registry.ollama.ai/library/_:latest"
+
+	// DefaultFill is the default fill used by [ParseName].
+	DefaultFill = "registry.ollama.ai/library/_:latest"
+)
+
+const MaxNamePartLen = 128
+
+type PartKind int
+
+// Levels of concreteness
+const (
+	// Each value aligns with its index in the Name.parts array.
+
+	PartHost PartKind = iota
+	PartNamespace
+	PartModel
+	PartTag
+	PartBuild
+	PartDigest
+
+	// Invalid is a special part that is used to indicate that a part is
+	// invalid. It is not a valid part of a Name.
+	//
+	// It should be kept as the last part in the list.
+	PartInvalid
+)
+
+var kindNames = map[PartKind]string{
+	PartHost:      "Host",
+	PartNamespace: "Namespace",
+	PartModel:     "Name",
+	PartTag:       "Tag",
+	PartBuild:     "Build",
+	PartDigest:    "Digest",
+	PartInvalid:   "Invalid",
+}
+
+func (k PartKind) String() string {
+	return cmp.Or(kindNames[k], "Unknown")
+}
+
+// Name is an opaque reference to a model. It holds the parts of a model
+// with the case preserved, but is not directly comparable with other Names
+// since model names can be represented with different casing depending on
+// the use case. For instance, "Mistral" and "mistral" are the same model
+// but each version may have come from different sources (e.g. copied from a
+// Web page, or from a file path).
+//
+// Valid Names can ONLY be constructed by calling [ParseName].
+//
+// A Name is valid if and only if is have a valid Model part. The other parts
+// are optional.
+//
+// A Name is considered "complete" if it has all parts present. To check if a
+// Name is complete, use [Name.IsComplete].
+//
+// To compare two names in a case-insensitive manner, use [Name.EqualFold].
+//
+// The parts of a Name are:
+//
+//   - Host: the domain of the model (optional)
+//   - Namespace: the namespace of the model (optional)
+//   - Model: the name of the model (required)
+//   - Tag: the tag of the model (optional)
+//   - Build: the build of the model; usually the quantization or "file type" (optional)
+//
+// The parts can be obtained in their original form by calling [Name.Parts].
+//
+// To check if a Name has at minimum a valid model part, use [Name.IsValid].
+//
+// To make a Name by filling in missing parts from another Name, use [Fill].
+type Name struct {
+	_     structs.Incomparable
+	parts [6]string // host, namespace, model, tag, build, digest
+
+	// TODO(bmizerany): track offsets and hold s (raw string) here? We
+	// could pack the offsets all into a single uint64 since the first
+	// parts take less bits since their max offset is less than the max
+	// offset of the next part. This would save a ton of bytes per Name
+	// and mean zero allocations for String.
+}
+
+// ParseNameFill parses s into a Name, and returns the result of filling it with
+// defaults. The input string must be a valid string
+// representation of a model name in the form:
+//
+//	[host/][namespace/]<model>[:tag][+build][@<digest-type>-<digest>]
+//
+// The name part is required, all others are optional. If a part is missing,
+// it is left empty in the returned Name. If a part is invalid, the zero Ref
+// value is returned.
+//
+// The build part is normalized to uppercase.
+//
+// Examples of valid paths:
+//
+//	"example.com/library/mistral:7b+x"
+//	"example.com/eva/mistral:7b+Q4_0"
+//	"mistral:7b+x"
+//	"example.com/mike/mistral:latest+Q4_0"
+//	"example.com/bruce/mistral:latest"
+//	"example.com/pdevine/thisisfine:7b+Q4_0@sha256-1234567890abcdef"
+//
+// Examples of invalid paths:
+//
+//	"example.com/mistral:7b+"
+//	"example.com/mistral:7b+Q4_0+"
+//	"x/y/z/z:8n+I"
+//	""
+//
+// It returns the zero value if any part is invalid.
+//
+// As a rule of thumb, an valid name is one that can be round-tripped with
+// the [Name.String] method. That means ("x+") is invalid because
+// [Name.String] will not print a "+" if the build is empty.
+//
+// For more about filling in missing parts, see [Fill].
+func ParseNameFill(s, defaults string) Name {
+	var r Name
+	parts(s)(func(kind PartKind, part string) bool {
+		if kind == PartInvalid {
+			r = Name{}
+			return false
+		}
+		if kind == PartDigest && !ParseDigest(part).IsValid() {
+			r = Name{}
+			return false
+		}
+		r.parts[kind] = part
+		return true
+	})
+	if r.IsValid() || r.IsResolved() {
+		if defaults == "" {
+			return r
+		}
+		return Fill(r, ParseNameFill(defaults, ""))
+	}
+	return Name{}
+}
+
+// ParseName is equal to ParseNameFill(s, DefaultFill).
+func ParseName(s string) Name {
+	return ParseNameFill(s, DefaultFill)
+}
+
+func MustParseNameFill(s, defaults string) Name {
+	r := ParseNameFill(s, "")
+	if !r.IsValid() {
+		panic("model.MustParseName: invalid name: " + s)
+	}
+	return r
+}
+
+// Fill fills in the missing parts of dst with the parts of src.
+//
+// The returned Name will only be valid if dst is valid.
+func Fill(dst, src Name) Name {
+	var r Name
+	for i := range r.parts {
+		r.parts[i] = cmp.Or(dst.parts[i], src.parts[i])
+	}
+	return r
+}
+
+// WithBuild returns a copy of r with the build set to the given string.
+func (r Name) WithBuild(build string) Name {
+	r.parts[PartBuild] = build
+	return r
+}
+
+func (r Name) WithDigest(digest Digest) Name {
+	r.parts[PartDigest] = digest.String()
+	return r
+}
+
+var mapHashSeed = maphash.MakeSeed()
+
+// MapHash returns a case insensitive hash for use in maps and equality
+// checks. For a convenient way to compare names, use [Name.EqualFold].
+//
+//nolint:errcheck
+func (r Name) MapHash() uint64 {
+	// correctly hash the parts with case insensitive comparison
+	var h maphash.Hash
+	h.SetSeed(mapHashSeed)
+	for _, part := range r.Parts() {
+		// downcase the part for hashing
+		for i := range part {
+			c := part[i]
+			if c >= 'A' && c <= 'Z' {
+				c = c - 'A' + 'a'
+			}
+			h.WriteByte(c)
+		}
+	}
+	return h.Sum64()
+}
+
+func (r Name) slice(from, to PartKind) Name {
+	var v Name
+	copy(v.parts[from:to+1], r.parts[from:to+1])
+	return v
+}
+
+// DisplayShortest returns the shortest possible display string in form:
+//
+//	[host/][<namespace>/]<model>[:<tag>]
+//
+// The host is omitted if it is the mask host is the same as r.
+// The namespace is omitted if the host and the namespace are the same as r.
+// The tag is omitted if it is the mask tag is the same as r.
+func (r Name) DisplayShortest(mask string) string {
+	mask = cmp.Or(mask, DefaultMask)
+	d := ParseName(mask)
+	if !d.IsValid() {
+		panic("mask is an invalid Name")
+	}
+	equalSlice := func(form, to PartKind) bool {
+		return r.slice(form, to).EqualFold(d.slice(form, to))
+	}
+	if equalSlice(PartHost, PartNamespace) {
+		r.parts[PartNamespace] = ""
+	}
+	if equalSlice(PartHost, PartHost) {
+		r.parts[PartHost] = ""
+	}
+	if equalSlice(PartTag, PartTag) {
+		r.parts[PartTag] = ""
+	}
+	return r.slice(PartHost, PartTag).String()
+}
+
+var seps = [...]string{
+	PartHost:      "/",
+	PartNamespace: "/",
+	PartModel:     ":",
+	PartTag:       "+",
+	PartBuild:     "@",
+	PartDigest:    "",
+}
+
+// WriteTo implements io.WriterTo. It writes the fullest possible display
+// string in form:
+//
+//	<host>/<namespace>/<model>:<tag>+<build>@<digest-type>-<digest>
+//
+// Missing parts and their separators are not written.
+//
+// The full digest is always prefixed with "@". That is if [Name.IsValid]
+// reports false and [Name.IsResolved] reports true, then the string is
+// returned as "@<digest-type>-<digest>".
+func (r Name) writeTo(w io.StringWriter) error {
+	var partsWritten int
+	for i := range r.parts {
+		if r.parts[i] == "" {
+			continue
+		}
+		if partsWritten > 0 || i == int(PartDigest) {
+			if _, err := w.WriteString(seps[i-1]); err != nil {
+				return err
+			}
+		}
+		if _, err := w.WriteString(r.parts[i]); err != nil {
+			return err
+		}
+		partsWritten++
+	}
+	return nil
+}
+
+var builderPool = sync.Pool{
+	New: func() interface{} {
+		return &strings.Builder{}
+	},
+}
+
+// String returns the fullest possible display string in form:
+//
+//	<host>/<namespace>/<model>:<tag>+<build>
+//
+// If any part is missing, it is omitted from the display string.
+//
+// For the fullest possible display string without the build, use
+// [Name.DisplayFullest].
+func (r Name) String() string {
+	b := builderPool.Get().(*strings.Builder)
+	defer builderPool.Put(b)
+	b.Reset()
+	b.Grow(50) // arbitrarily long enough for most names
+	_ = r.writeTo(b)
+	return b.String()
+}
+
+// GoString implements fmt.GoStringer. It returns a string suitable for
+// debugging and logging. It is similar to [Name.String] but it always
+// returns a string that includes all parts of the Name, with missing parts
+// replaced with a ("?").
+func (r Name) GoString() string {
+	for i := range r.parts {
+		r.parts[i] = cmp.Or(r.parts[i], "?")
+	}
+	return r.String()
+}
+
+// LogValue implements slog.Valuer.
+func (r Name) LogValue() slog.Value {
+	return slog.StringValue(r.GoString())
+}
+
+// IsComplete reports whether the Name is fully qualified. That is it has a
+// domain, namespace, name, tag, and build.
+func (r Name) IsComplete() bool {
+	return !slices.Contains(r.parts[:PartDigest], "")
+}
+
+// IsCompleteNoBuild is like [Name.IsComplete] but it does not require the
+// build part to be present.
+func (r Name) IsCompleteNoBuild() bool {
+	return !slices.Contains(r.parts[:PartBuild], "")
+}
+
+// IsResolved reports true if the Name has a valid digest.
+//
+// It is possible to have a valid Name, or a complete Name that is not
+// resolved.
+func (r Name) IsResolved() bool {
+	return r.Digest().IsValid()
+}
+
+// Digest returns the digest part of the Name, if any.
+//
+// If Digest returns a non-empty string, then [Name.IsResolved] will return
+// true, and digest is considered valid.
+func (r Name) Digest() Digest {
+	// This was already validated by ParseName, so we can just return it.
+	return Digest{r.parts[PartDigest]}
+}
+
+// EqualFold reports whether r and o are equivalent model names, ignoring
+// case.
+func (r Name) EqualFold(o Name) bool {
+	return r.CompareFold(o) == 0
+}
+
+// CompareFold performs a case-insensitive cmp.Compare on r and o.
+//
+// This can be used with [slices.SortFunc].
+//
+// For simple equality checks, use [Name.EqualFold].
+func (r Name) CompareFold(o Name) int {
+	return slices.CompareFunc(r.parts[:], o.parts[:], compareFold)
+}
+
+func compareFold(a, b string) int {
+	return slices.CompareFunc([]rune(a), []rune(b), func(a, b rune) int {
+		return cmp.Compare(downcase(a), downcase(b))
+	})
+}
+
+func downcase(r rune) rune {
+	if r >= 'A' && r <= 'Z' {
+		return r - 'A' + 'a'
+	}
+	return r
+}
+
+// TODO(bmizerany): driver.Value? (MarshalText etc should be enough)
+
+// Parts returns the parts of the Name in order of concreteness.
+//
+// The length of the returned slice is always 5.
+func (r Name) Parts() []string {
+	return slices.Clone(r.parts[:])
+}
+
+// iter_Seq2 is a iter.Seq2 defined here to avoid the current build
+// restrictions in the go1.22 iter package requiring the
+// goexperiment.rangefunc tag to be set via the GOEXPERIMENT=rangefunc flag,
+// which we are not yet ready to support.
+//
+// Once we are ready to support rangefunc, this can be removed and replaced
+// with the iter.Seq2 type.
+type iter_Seq2[A, B any] func(func(A, B) bool)
+
+// Parts returns a sequence of the parts of a Name string from most specific
+// to least specific.
+//
+// It normalizes the input string by removing "http://" and "https://" only.
+// No other normalizations are performed.
+func parts(s string) iter_Seq2[PartKind, string] {
+	return func(yield func(PartKind, string) bool) {
+		//nolint:gosimple
+		if strings.HasPrefix(s, "http://") {
+			s = s[len("http://"):]
+		}
+		//nolint:gosimple
+		if strings.HasPrefix(s, "https://") {
+			s = s[len("https://"):]
+		}
+
+		if len(s) > MaxNamePartLen || len(s) == 0 {
+			return
+		}
+
+		yieldValid := func(kind PartKind, part string) bool {
+			if !isValidPart(kind, part) {
+				yield(PartInvalid, "")
+				return false
+			}
+			return yield(kind, part)
+		}
+
+		numConsecutiveDots := 0
+		partLen := 0
+		state, j := PartDigest, len(s)
+		for i := len(s) - 1; i >= 0; i-- {
+			if partLen++; partLen > MaxNamePartLen {
+				// catch a part that is too long early, so
+				// we don't keep spinning on it, waiting for
+				// an isInValidPart check which would scan
+				// over it again.
+				yield(PartInvalid, "")
+				return
+			}
+
+			switch s[i] {
+			case '@':
+				switch state {
+				case PartDigest:
+					if !yieldValid(PartDigest, s[i+1:j]) {
+						return
+					}
+					if i == 0 {
+						// This is the form
+						// "@<digest>" which is valid.
+						//
+						// We're done.
+						return
+					}
+					state, j, partLen = PartBuild, i, 0
+				default:
+					yield(PartInvalid, "")
+					return
+				}
+			case '+':
+				switch state {
+				case PartBuild, PartDigest:
+					if !yieldValid(PartBuild, s[i+1:j]) {
+						return
+					}
+					state, j, partLen = PartTag, i, 0
+				default:
+					yield(PartInvalid, "")
+					return
+				}
+			case ':':
+				switch state {
+				case PartTag, PartBuild, PartDigest:
+					if !yieldValid(PartTag, s[i+1:j]) {
+						return
+					}
+					state, j, partLen = PartModel, i, 0
+				default:
+					yield(PartInvalid, "")
+					return
+				}
+			case '/':
+				switch state {
+				case PartModel, PartTag, PartBuild, PartDigest:
+					if !yieldValid(PartModel, s[i+1:j]) {
+						return
+					}
+					state, j = PartNamespace, i
+				case PartNamespace:
+					if !yieldValid(PartNamespace, s[i+1:j]) {
+						return
+					}
+					state, j, partLen = PartHost, i, 0
+				default:
+					yield(PartInvalid, "")
+					return
+				}
+			default:
+				if s[i] == '.' {
+					if numConsecutiveDots++; numConsecutiveDots > 1 {
+						yield(PartInvalid, "")
+						return
+					}
+				} else {
+					numConsecutiveDots = 0
+				}
+				if !isValidByteFor(state, s[i]) {
+					yield(PartInvalid, "")
+					return
+				}
+			}
+		}
+
+		if state <= PartNamespace {
+			yieldValid(state, s[:j])
+		} else {
+			yieldValid(PartModel, s[:j])
+		}
+	}
+}
+
+func (r Name) IsZero() bool {
+	return r.parts == [6]string{}
+}
+
+// IsValid reports if a model has at minimum a valid model part.
+func (r Name) IsValid() bool {
+	// Parts ensures we only have valid parts, so no need to validate
+	// them here, only check if we have a name or not.
+	return r.parts[PartModel] != ""
+}
+
+// isValidPart reports if s contains all valid characters for the given
+// part kind.
+func isValidPart(kind PartKind, s string) bool {
+	if s == "" {
+		return false
+	}
+	for _, c := range []byte(s) {
+		if !isValidByteFor(kind, c) {
+			return false
+		}
+	}
+	return true
+}
+
+func isValidByteFor(kind PartKind, c byte) bool {
+	if kind == PartNamespace && c == '.' {
+		return false
+	}
+	if c == '.' || c == '-' {
+		return true
+	}
+	if c >= 'a' && c <= 'z' || c >= 'A' && c <= 'Z' || c >= '0' && c <= '9' || c == '_' {
+		return true
+	}
+	return false
+}

types/model/name_test.go

@@ -0,0 +1,490 @@
+package model
+
+import (
+	"bytes"
+	"cmp"
+	"fmt"
+	"log/slog"
+	"slices"
+	"strings"
+	"testing"
+)
+
+type fields struct {
+	host, namespace, model, tag, build string
+	digest                             string
+}
+
+func fieldsFromName(p Name) fields {
+	return fields{
+		host:      p.parts[PartHost],
+		namespace: p.parts[PartNamespace],
+		model:     p.parts[PartModel],
+		tag:       p.parts[PartTag],
+		build:     p.parts[PartBuild],
+		digest:    p.parts[PartDigest],
+	}
+}
+
+var testNames = map[string]fields{
+	"mistral:latest":                 {model: "mistral", tag: "latest"},
+	"mistral":                        {model: "mistral"},
+	"mistral:30B":                    {model: "mistral", tag: "30B"},
+	"mistral:7b":                     {model: "mistral", tag: "7b"},
+	"mistral:7b+Q4_0":                {model: "mistral", tag: "7b", build: "Q4_0"},
+	"mistral+KQED":                   {model: "mistral", build: "KQED"},
+	"mistral.x-3:7b+Q4_0":            {model: "mistral.x-3", tag: "7b", build: "Q4_0"},
+	"mistral:7b+q4_0":                {model: "mistral", tag: "7b", build: "q4_0"},
+	"llama2":                         {model: "llama2"},
+	"user/model":                     {namespace: "user", model: "model"},
+	"example.com/ns/mistral:7b+Q4_0": {host: "example.com", namespace: "ns", model: "mistral", tag: "7b", build: "Q4_0"},
+	"example.com/ns/mistral:7b+X":    {host: "example.com", namespace: "ns", model: "mistral", tag: "7b", build: "X"},
+
+	// invalid digest
+	"mistral:latest@invalid256-": {},
+	"mistral:latest@-123":        {},
+	"mistral:latest@!-123":       {},
+	"mistral:latest@1-!":         {},
+	"mistral:latest@":            {},
+
+	// resolved
+	"x@sha123-1": {model: "x", digest: "sha123-1"},
+	"@sha456-2":  {digest: "sha456-2"},
+
+	"@@sha123-1": {},
+
+	// preserves case for build
+	"x+b": {model: "x", build: "b"},
+
+	// invalid (includes fuzzing trophies)
+	" / / : + ": {},
+	" / : + ":   {},
+	" : + ":     {},
+	" + ":       {},
+	" : ":       {},
+	" / ":       {},
+	" /":        {},
+	"/ ":        {},
+	"/":         {},
+	":":         {},
+	"+":         {},
+
+	// (".") in namepsace is not allowed
+	"invalid.com/7b+x": {},
+
+	"invalid:7b+Q4_0:latest": {},
+	"in valid":               {},
+	"invalid/y/z/foo":        {},
+	"/0":                     {},
+	"0 /0":                   {},
+	"0 /":                    {},
+	"0/":                     {},
+	":/0":                    {},
+	"+0/00000":               {},
+	"0+.\xf2\x80\xf6\x9d00000\xe5\x99\xe6\xd900\xd90\xa60\x91\xdc0\xff\xbf\x99\xe800\xb9\xdc\xd6\xc300\x970\xfb\xfd0\xe0\x8a\xe1\xad\xd40\x9700\xa80\x980\xdd0000\xb00\x91000\xfe0\x89\x9b\x90\x93\x9f0\xe60\xf7\x84\xb0\x87\xa5\xff0\xa000\x9a\x85\xf6\x85\xfe\xa9\xf9\xe9\xde00\xf4\xe0\x8f\x81\xad\xde00\xd700\xaa\xe000000\xb1\xee0\x91": {},
+	"0//0":                        {},
+	"m+^^^":                       {},
+	"file:///etc/passwd":          {},
+	"file:///etc/passwd:latest":   {},
+	"file:///etc/passwd:latest+u": {},
+
+	":x": {},
+	"+x": {},
+	"x+": {},
+
+	// Disallow ("\.+") in any part to prevent path traversal anywhere
+	// we convert the name to a path.
+	"../etc/passwd":  {},
+	".../etc/passwd": {},
+	"./../passwd":    {},
+	"./0+..":         {},
+
+	strings.Repeat("a", MaxNamePartLen):   {model: strings.Repeat("a", MaxNamePartLen)},
+	strings.Repeat("a", MaxNamePartLen+1): {},
+}
+
+// TestConsecutiveDots tests that consecutive dots are not allowed in any
+// part, to avoid path traversal. There also are some tests in testNames, but
+// this test is more exhaustive and exists to emphasize the importance of
+// preventing path traversal.
+func TestNameConsecutiveDots(t *testing.T) {
+	for i := 1; i < 10; i++ {
+		s := strings.Repeat(".", i)
+		if i > 1 {
+			if g := ParseNameFill(s, "").String(); g != "" {
+				t.Errorf("ParseName(%q) = %q; want empty string", s, g)
+			}
+		} else {
+			if g := ParseNameFill(s, "").String(); g != s {
+				t.Errorf("ParseName(%q) = %q; want %q", s, g, s)
+			}
+		}
+	}
+}
+
+func TestNameParts(t *testing.T) {
+	var p Name
+	if w, g := int(PartDigest+1), len(p.Parts()); w != g {
+		t.Errorf("Parts() = %d; want %d", g, w)
+	}
+}
+
+func TestNamePartString(t *testing.T) {
+	if g := PartKind(-2).String(); g != "Unknown" {
+		t.Errorf("Unknown part = %q; want %q", g, "Unknown")
+	}
+	for kind, name := range kindNames {
+		if g := kind.String(); g != name {
+			t.Errorf("%s = %q; want %q", kind, g, name)
+		}
+	}
+}
+
+func TestParseName(t *testing.T) {
+	for baseName, want := range testNames {
+		for _, prefix := range []string{"", "https://", "http://"} {
+			// We should get the same results with or without the
+			// http(s) prefixes
+			s := prefix + baseName
+
+			t.Run(s, func(t *testing.T) {
+				name := ParseNameFill(s, "")
+				got := fieldsFromName(name)
+				if got != want {
+					t.Errorf("ParseName(%q) = %q; want %q", s, got, want)
+				}
+
+				// test round-trip
+				if !ParseNameFill(name.String(), "").EqualFold(name) {
+					t.Errorf("ParseName(%q).String() = %s; want %s", s, name.String(), baseName)
+				}
+			})
+		}
+	}
+}
+
+func TestCompleteWithAndWithoutBuild(t *testing.T) {
+	cases := []struct {
+		in              string
+		complete        bool
+		completeNoBuild bool
+	}{
+		{"", false, false},
+		{"incomplete/mistral:7b+x", false, false},
+		{"incomplete/mistral:7b+Q4_0", false, false},
+		{"incomplete:7b+x", false, false},
+		{"complete.com/x/mistral:latest+Q4_0", true, true},
+		{"complete.com/x/mistral:latest", false, true},
+	}
+
+	for _, tt := range cases {
+		t.Run(tt.in, func(t *testing.T) {
+			p := ParseNameFill(tt.in, "")
+			t.Logf("ParseName(%q) = %#v", tt.in, p)
+			if g := p.IsComplete(); g != tt.complete {
+				t.Errorf("Complete(%q) = %v; want %v", tt.in, g, tt.complete)
+			}
+			if g := p.IsCompleteNoBuild(); g != tt.completeNoBuild {
+				t.Errorf("CompleteNoBuild(%q) = %v; want %v", tt.in, g, tt.completeNoBuild)
+			}
+		})
+	}
+
+	// Complete uses Parts which returns a slice, but it should be
+	// inlined when used in Complete, preventing any allocations or
+	// escaping to the heap.
+	allocs := testing.AllocsPerRun(1000, func() {
+		keep(ParseNameFill("complete.com/x/mistral:latest+Q4_0", "").IsComplete())
+	})
+	if allocs > 0 {
+		t.Errorf("Complete allocs = %v; want 0", allocs)
+	}
+}
+
+func TestNameLogValue(t *testing.T) {
+	cases := []string{
+		"example.com/library/mistral:latest+Q4_0",
+		"mistral:latest",
+		"mistral:7b+Q4_0",
+	}
+	for _, s := range cases {
+		t.Run(s, func(t *testing.T) {
+			var b bytes.Buffer
+			log := slog.New(slog.NewTextHandler(&b, nil))
+			name := ParseNameFill(s, "")
+			log.Info("", "name", name)
+			want := fmt.Sprintf("name=%s", name.GoString())
+			got := b.String()
+			if !strings.Contains(got, want) {
+				t.Errorf("expected log output to contain %q; got %q", want, got)
+			}
+		})
+	}
+}
+
+func TestNameGoString(t *testing.T) {
+	cases := []struct {
+		name         string
+		in           string
+		wantString   string
+		wantGoString string // default is tt.in
+	}{
+		{
+			name:         "Complete Name",
+			in:           "example.com/library/mistral:latest+Q4_0",
+			wantGoString: "example.com/library/mistral:latest+Q4_0@?",
+		},
+		{
+			name:         "Short Name",
+			in:           "mistral:latest",
+			wantGoString: "?/?/mistral:latest+?@?",
+		},
+		{
+			name:         "Long Name",
+			in:           "library/mistral:latest",
+			wantGoString: "?/library/mistral:latest+?@?",
+		},
+		{
+			name:         "Case Preserved",
+			in:           "Library/Mistral:Latest",
+			wantGoString: "?/Library/Mistral:Latest+?@?",
+		},
+		{
+			name:         "With digest",
+			in:           "Library/Mistral:Latest@sha256-123456",
+			wantGoString: "?/Library/Mistral:Latest+?@sha256-123456",
+		},
+	}
+
+	for _, tt := range cases {
+		t.Run(tt.name, func(t *testing.T) {
+			p := ParseNameFill(tt.in, "")
+			tt.wantGoString = cmp.Or(tt.wantGoString, tt.in)
+			if g := fmt.Sprintf("%#v", p); g != tt.wantGoString {
+				t.Errorf("GoString() = %q; want %q", g, tt.wantGoString)
+			}
+		})
+	}
+}
+
+func TestDisplayShortest(t *testing.T) {
+	cases := []struct {
+		in        string
+		mask      string
+		want      string
+		wantPanic bool
+	}{
+		{"example.com/library/mistral:latest+Q4_0", "example.com/library/_:latest", "mistral", false},
+		{"example.com/library/mistral:latest+Q4_0", "example.com/_/_:latest", "library/mistral", false},
+		{"example.com/library/mistral:latest+Q4_0", "", "example.com/library/mistral", false},
+		{"example.com/library/mistral:latest+Q4_0", "", "example.com/library/mistral", false},
+
+		// case-insensitive
+		{"Example.com/library/mistral:latest+Q4_0", "example.com/library/_:latest", "mistral", false},
+		{"example.com/Library/mistral:latest+Q4_0", "example.com/library/_:latest", "mistral", false},
+		{"example.com/library/Mistral:latest+Q4_0", "example.com/library/_:latest", "Mistral", false},
+		{"example.com/library/mistral:Latest+Q4_0", "example.com/library/_:latest", "mistral", false},
+		{"example.com/library/mistral:Latest+q4_0", "example.com/library/_:latest", "mistral", false},
+
+		// invalid mask
+		{"example.com/library/mistral:latest+Q4_0", "example.com/mistral", "", true},
+
+		// DefaultMask
+		{"registry.ollama.ai/library/mistral:latest+Q4_0", DefaultMask, "mistral", false},
+
+		// Auto-Fill
+		{"x", "example.com/library/_:latest", "x", false},
+		{"x", "example.com/library/_:latest+Q4_0", "x", false},
+		{"x/y:z", "a.com/library/_:latest+Q4_0", "x/y:z", false},
+		{"x/y:z", "a.com/library/_:latest+Q4_0", "x/y:z", false},
+	}
+
+	for _, tt := range cases {
+		t.Run("", func(t *testing.T) {
+			defer func() {
+				if tt.wantPanic {
+					if recover() == nil {
+						t.Errorf("expected panic")
+					}
+				}
+			}()
+
+			p := ParseNameFill(tt.in, "")
+			t.Logf("ParseName(%q) = %#v", tt.in, p)
+			if g := p.DisplayShortest(tt.mask); g != tt.want {
+				t.Errorf("got = %q; want %q", g, tt.want)
+			}
+		})
+	}
+}
+
+func TestParseNameAllocs(t *testing.T) {
+	allocs := testing.AllocsPerRun(1000, func() {
+		keep(ParseNameFill("example.com/mistral:7b+Q4_0", ""))
+	})
+	if allocs > 0 {
+		t.Errorf("ParseName allocs = %v; want 0", allocs)
+	}
+}
+
+func BenchmarkParseName(b *testing.B) {
+	b.ReportAllocs()
+
+	for range b.N {
+		keep(ParseNameFill("example.com/mistral:7b+Q4_0", ""))
+	}
+}
+
+func FuzzParseName(f *testing.F) {
+	f.Add("example.com/mistral:7b+Q4_0")
+	f.Add("example.com/mistral:7b+q4_0")
+	f.Add("example.com/mistral:7b+x")
+	f.Add("x/y/z:8n+I")
+	f.Add(":x")
+	f.Add("@sha256-123456")
+	f.Add("example.com/mistral:latest+Q4_0@sha256-123456")
+	f.Add(":@!@")
+	f.Add("...")
+	f.Fuzz(func(t *testing.T, s string) {
+		r0 := ParseNameFill(s, "")
+
+		if strings.Contains(s, "..") && !r0.IsZero() {
+			t.Fatalf("non-zero value for path with '..': %q", s)
+		}
+
+		if !r0.IsValid() && !r0.IsResolved() {
+			if !r0.EqualFold(Name{}) {
+				t.Errorf("expected invalid path to be zero value; got %#v", r0)
+			}
+			t.Skipf("invalid path: %q", s)
+		}
+
+		for _, p := range r0.Parts() {
+			if len(p) > MaxNamePartLen {
+				t.Errorf("part too long: %q", p)
+			}
+		}
+
+		if !strings.EqualFold(r0.String(), s) {
+			t.Errorf("String() did not round-trip with case insensitivity: %q\ngot  = %q\nwant = %q", s, r0.String(), s)
+		}
+
+		r1 := ParseNameFill(r0.String(), "")
+		if !r0.EqualFold(r1) {
+			t.Errorf("round-trip mismatch: %+v != %+v", r0, r1)
+		}
+	})
+}
+
+func TestFill(t *testing.T) {
+	cases := []struct {
+		dst  string
+		src  string
+		want string
+	}{
+		{"mistral", "o.com/library/PLACEHOLDER:latest+Q4_0", "o.com/library/mistral:latest+Q4_0"},
+		{"o.com/library/mistral", "PLACEHOLDER:latest+Q4_0", "o.com/library/mistral:latest+Q4_0"},
+		{"", "o.com/library/mistral:latest+Q4_0", "o.com/library/mistral:latest+Q4_0"},
+	}
+
+	for _, tt := range cases {
+		t.Run(tt.dst, func(t *testing.T) {
+			r := Fill(ParseNameFill(tt.dst, ""), ParseNameFill(tt.src, ""))
+			if r.String() != tt.want {
+				t.Errorf("Fill(%q, %q) = %q; want %q", tt.dst, tt.src, r, tt.want)
+			}
+		})
+	}
+}
+
+func TestNameStringAllocs(t *testing.T) {
+	name := ParseNameFill("example.com/ns/mistral:latest+Q4_0", "")
+	allocs := testing.AllocsPerRun(1000, func() {
+		keep(name.String())
+	})
+	if allocs > 1 {
+		t.Errorf("String allocs = %v; want 0", allocs)
+	}
+}
+
+func ExampleFill() {
+	defaults := ParseNameFill("registry.ollama.com/library/PLACEHOLDER:latest+Q4_0", "")
+	r := Fill(ParseNameFill("mistral", ""), defaults)
+	fmt.Println(r)
+
+	// Output:
+	// registry.ollama.com/library/mistral:latest+Q4_0
+}
+
+func ExampleName_MapHash() {
+	m := map[uint64]bool{}
+
+	// key 1
+	m[ParseNameFill("mistral:latest+q4", "").MapHash()] = true
+	m[ParseNameFill("miSTRal:latest+Q4", "").MapHash()] = true
+	m[ParseNameFill("mistral:LATest+Q4", "").MapHash()] = true
+
+	// key 2
+	m[ParseNameFill("mistral:LATest", "").MapHash()] = true
+
+	fmt.Println(len(m))
+	// Output:
+	// 2
+}
+
+func ExampleName_CompareFold_sort() {
+	names := []Name{
+		ParseNameFill("mistral:latest", ""),
+		ParseNameFill("mistRal:7b+q4", ""),
+		ParseNameFill("MIstral:7b", ""),
+	}
+
+	slices.SortFunc(names, Name.CompareFold)
+
+	for _, n := range names {
+		fmt.Println(n)
+	}
+
+	// Output:
+	// MIstral:7b
+	// mistRal:7b+q4
+	// mistral:latest
+}
+
+func ExampleName_completeAndResolved() {
+	for _, s := range []string{
+		"x/y/z:latest+q4_0@sha123-1",
+		"x/y/z:latest+q4_0",
+		"@sha123-1",
+	} {
+		name := ParseNameFill(s, "")
+		fmt.Printf("complete:%v resolved:%v  digest:%s\n", name.IsComplete(), name.IsResolved(), name.Digest())
+	}
+
+	// Output:
+	// complete:true resolved:true  digest:sha123-1
+	// complete:true resolved:false  digest:
+	// complete:false resolved:true  digest:sha123-1
+}
+
+func ExampleName_DisplayShortest() {
+	name := ParseNameFill("example.com/jmorganca/mistral:latest+Q4_0", "")
+
+	fmt.Println(name.DisplayShortest("example.com/jmorganca/_:latest"))
+	fmt.Println(name.DisplayShortest("example.com/_/_:latest"))
+	fmt.Println(name.DisplayShortest("example.com/_/_:_"))
+	fmt.Println(name.DisplayShortest("_/_/_:_"))
+
+	// Default
+	name = ParseNameFill("registry.ollama.ai/library/mistral:latest+Q4_0", "")
+	fmt.Println(name.DisplayShortest(""))
+
+	// Output:
+	// mistral
+	// jmorganca/mistral
+	// jmorganca/mistral:latest
+	// example.com/jmorganca/mistral:latest
+	// mistral
+}
+
+func keep[T any](v T) T { return v }

types/model/testdata/fuzz/FuzzParseRef/1d43ee52085cb4aa

@@ -0,0 +1,2 @@
+go test fuzz v1
+string("/0")

types/model/testdata/fuzz/FuzzParseRef/27fd759314f0e6d6

@@ -0,0 +1,2 @@
+go test fuzz v1
+string("0//0")

types/model/testdata/fuzz/FuzzParseRef/3e3b70dba384074d

@@ -0,0 +1,2 @@
+go test fuzz v1
+string("0 /0")

types/model/testdata/fuzz/FuzzParseRef/71f1fdff711b6dab

@@ -0,0 +1,2 @@
+go test fuzz v1
+string("+0/00000")

types/model/testdata/fuzz/FuzzParseRef/82c2975c430ac608

@@ -0,0 +1,2 @@
+go test fuzz v1
+string(":")

types/model/testdata/fuzz/FuzzParseRef/b51b1c875e61a948

@@ -0,0 +1,2 @@
+go test fuzz v1
+string("0+.\xf2\x80\xf6\x9d00000\xe5\x99\xe6\xd900\xd90\xa60\x91\xdc0\xff\xbf\x99\xe800\xb9\xdc\xd6\xc300\x970\xfb\xfd0\xe0\x8a\xe1\xad\xd40\x9700\xa80\x980\xdd0000\xb00\x91000\xfe0\x89\x9b\x90\x93\x9f0\xe60\xf7\x84\xb0\x87\xa5\xff0\xa000\x9a\x85\xf6\x85\xfe\xa9\xf9\xe9\xde00\xf4\xe0\x8f\x81\xad\xde00\xd700\xaa\xe000000\xb1\xee0\x91")

types/structs/structs.go

@@ -0,0 +1,15 @@
+// Copyright (c) Tailscale Inc & AUTHORS
+// SPDX-License-Identifier: BSD-3-Clause
+
+// Package structs contains the Incomparable type.
+package structs
+
+// Incomparable is a zero-width incomparable type. If added as the
+// first field in a struct, it marks that struct as not comparable
+// (can't do == or be a map key) and usually doesn't add any width to
+// the struct (unless the struct has only small fields).
+//
+// By making a struct incomparable, you can prevent misuse (prevent
+// people from using ==), but also you can shrink generated binaries,
+// as the compiler can omit equality funcs from the binary.
+type Incomparable [0]func()