mirror of
https://github.com/LostRuins/koboldcpp.git
synced 2026-04-28 03:30:20 +00:00
114 lines
4.2 KiB
YAML
114 lines
4.2 KiB
YAML
name: Koboldcpp Windows Full Binaries
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on:
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workflow_dispatch:
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inputs:
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commit_hash:
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description: 'Optional commit hash to build from'
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required: false
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default: ''
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env:
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BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
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jobs:
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windows:
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runs-on: windows-2022
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steps:
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- name: Clone
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id: checkout
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uses: actions/checkout@v3
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with:
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ref: ${{ inputs.commit_hash != '' && inputs.commit_hash || github.head_ref || github.ref_name }}
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- name: Show Commit Used
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run: |
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echo "Building from ref: ${{ inputs.commit_hash != '' && inputs.commit_hash || github.head_ref || github.ref_name }}"
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- name: Get Python
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uses: actions/setup-python@v2
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with:
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python-version: 3.8.10
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- name: Install python dependencies
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run: |
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python -m pip install --upgrade pip
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pip install customtkinter==5.2.0 pyinstaller==5.11.0 psutil==5.9.5
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- name: Download and install win64devkit
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run: |
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curl -L https://github.com/skeeto/w64devkit/releases/download/v1.22.0/w64devkit-1.22.0.zip --output w64devkit.zip
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Expand-Archive w64devkit.zip -DestinationPath .
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- name: Add w64devkit to PATH
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run: |
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echo "$(Get-Location)\w64devkit\bin" | Out-File -Append -FilePath $env:GITHUB_PATH -Encoding utf8
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- name: Print System Environment Variables
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id: printvars
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run: |
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echo "Number of processors: ${env:NUMBER_OF_PROCESSORS}"
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echo "Processor Architecture: ${env:PROCESSOR_ARCHITECTURE}"
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echo "Computer Name: ${env:COMPUTERNAME}"
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wmic cpu get name
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wmic os get TotalVisibleMemorySize, FreePhysicalMemory
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- name: Build Non-CUDA
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id: make_build
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run: |
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make LLAMA_CLBLAST=1 LLAMA_VULKAN=1 LLAMA_PORTABLE=1 -j ${env:NUMBER_OF_PROCESSORS}
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- uses: Jimver/cuda-toolkit@v0.2.15
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id: cuda-toolkit
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with:
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cuda: '11.4.4'
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use-github-cache: false
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- name: Install Visual Studio 2019
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shell: cmd
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run: |
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echo off
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echo Downloading Visual Studio 2019 Setup
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curl -fLO https://download.visualstudio.microsoft.com/download/pr/1fbe074b-8ae1-4e9b-8e83-d1ce4200c9d1/61098e228df7ba3a6a8b4e920a415ad8878d386de6dd0f23f194fe1a55db189a/vs_Enterprise.exe
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echo Running Visual Studio 2019 Setup
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vs_Enterprise.exe --quiet --wait --norestart --nocache ^
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--add Microsoft.VisualStudio.Workload.VCTools ^
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--add Microsoft.VisualStudio.Component.VC.CLI.Support ^
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--add Microsoft.VisualStudio.Component.Windows10SDK.19041 ^
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--add Microsoft.VisualStudio.Workload.UniversalBuildTools ^
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--add Microsoft.VisualStudio.Component.VC.CMake.Project
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- name: Build CUDA with Visual Studio 2019
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id: cmake_build
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shell: cmd
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run: |
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call "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\VC\Auxiliary\Build\vcvars64.bat"
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mkdir build
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cd build
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cmake .. -G "Visual Studio 16 2019" -A x64 -DLLAMA_CUBLAS=ON -DCMAKE_SYSTEM_VERSION="10.0.19041.0"
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cmake --build . --config Release -j 2
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cd ..
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# note: The libraries that come from the github cuda directory seem to be larger, so they are not recommended
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- name: Download CuBLAS Libraries
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run: |
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curl -L https://github.com/LostRuins/koboldcpp/releases/download/cuda11_cublas_libraries/cublas64_11.dll --output cublas64_11.dll
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curl -L https://github.com/LostRuins/koboldcpp/releases/download/cuda11_cublas_libraries/cublasLt64_11.dll --output cublasLt64_11.dll
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ls
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# - name: Copy CuBLAS Libraries
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# run: |
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# copy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4\bin\cublasLt64_11.dll" .
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# copy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4\bin\cublas64_11.dll" .
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# ls
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- name: Package PyInstallers
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id: make_pyinstaller
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run: |
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./make_pyinstaller.bat
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./make_pyinstaller_cuda.bat
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- name: Save artifact
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uses: actions/upload-artifact@v4
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with:
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name: kcpp_windows_pyinstallers
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path: dist/
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