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Koboldcpp Windows Full Binaries CUDA 12 #63

Koboldcpp Windows Full Binaries CUDA 12

Koboldcpp Windows Full Binaries CUDA 12 #63

name: Koboldcpp Windows Full Binaries CUDA 12
on: workflow_dispatch
env:
BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
jobs:
windows:
runs-on: windows-2019
steps:
- name: Clone
id: checkout
uses: actions/checkout@v3
with:
ref: ${{ github.head_ref || github.ref_name }}
- name: Get Python
uses: actions/setup-python@v2
with:
python-version: 3.8.10
- name: Install python dependencies
run: |
python -m pip install --upgrade pip
pip install customtkinter==5.2.0 pyinstaller==5.11.0 psutil==5.9.5
- name: Download and install win64devkit
run: |
curl -L https://github.com/skeeto/w64devkit/releases/download/v1.22.0/w64devkit-1.22.0.zip --output w64devkit.zip
Expand-Archive w64devkit.zip -DestinationPath .
- name: Add w64devkit to PATH
run: |
echo "$(Get-Location)\w64devkit\bin" | Out-File -Append -FilePath $env:GITHUB_PATH -Encoding utf8
- name: Print System Environment Variables
id: printvars
run: |
echo "Number of processors: $NUMBER_OF_PROCESSORS"
echo "Processor Architecture: $PROCESSOR_ARCHITECTURE"
echo "Computer Name: $COMPUTERNAME"
wmic cpu get name
wmic os get TotalVisibleMemorySize, FreePhysicalMemory
- name: Build Non-CUDA
id: make_build
run: |
make -j ${env:NUMBER_OF_PROCESSORS}
- uses: Jimver/cuda-toolkit@v0.2.15
id: cuda-toolkit
with:
cuda: '12.1.0'
- name: Build CUDA
id: cmake_build
run: |
mkdir build
cd build
cmake .. -DLLAMA_CUBLAS=ON -DCMAKE_SYSTEM_VERSION="10.0.19041.0"
cmake --build . --config Release -j $((${env:NUMBER_OF_PROCESSORS} - 1))
mv bin/Release/koboldcpp_cublas.dll ../koboldcpp_cublas.dll
cd ..
# note: The libraries that come from the github cuda directory seem to be larger, so they are not recommended
# - name: Download CuBLAS Libraries
# run: |
# curl -L https://github.com/LostRuins/koboldcpp/releases/download/cuda11_cublas_libraries/cublas64_11.dll --output cublas64_11.dll
# curl -L https://github.com/LostRuins/koboldcpp/releases/download/cuda11_cublas_libraries/cublasLt64_11.dll --output cublasLt64_11.dll
# ls
- name: Copy CuBLAS Libraries
run: |
copy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\cublasLt64_12.dll" .
copy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\cublas64_12.dll" .
ls
- name: Package PyInstallers
id: make_pyinstaller
run: |
./make_pyinstaller_cuda12.bat
- name: Save artifact
uses: actions/upload-artifact@v3
with:
name: kcpp_windows_pyinstallers
path: dist/