Add LD_LIBRARY_PATH to GitHub Actions workflows for CUDA library discovery

Set LD_LIBRARY_PATH in all workflow steps to ensure CUDA 11.4 libraries
are found during both compile time and runtime. This fixes the issue where
the GGML CUDA backend (libggml-cuda.so) fails to load when running
'ollama serve'.

Library paths added:
- /usr/local/cuda-11.4/lib64
- /usr/local/cuda-11.4/targets/x86_64-linux/lib
- /usr/lib64
- /usr/local/lib64

Updated workflows:
- tesla-k80-ci.yml: CMake configure, C++/CUDA build, Go build, binary verify
- tesla-k80-single-gpu-tests.yml: All test execution steps
- tesla-k80-multi-gpu-tests.yml: All test execution steps

.github/workflows/tesla-k80-ci.yml

@@ -28,20 +28,27 @@ jobs:
           CC=/usr/local/bin/gcc CXX=/usr/local/bin/g++ cmake -B build
         env:
           CMAKE_BUILD_TYPE: Release
+          LD_LIBRARY_PATH: /usr/local/cuda-11.4/lib64:/usr/local/cuda-11.4/targets/x86_64-linux/lib:/usr/lib64:/usr/local/lib64
 
       - name: Build C++/CUDA components
         run: |
           CC=/usr/local/bin/gcc CXX=/usr/local/bin/g++ cmake --build build -j$(nproc)
         timeout-minutes: 30
+        env:
+          LD_LIBRARY_PATH: /usr/local/cuda-11.4/lib64:/usr/local/cuda-11.4/targets/x86_64-linux/lib:/usr/lib64:/usr/local/lib64
 
       - name: Build Go binary
         run: |
           go build -v -o ollama .
+        env:
+          LD_LIBRARY_PATH: /usr/local/cuda-11.4/lib64:/usr/local/cuda-11.4/targets/x86_64-linux/lib:/usr/lib64:/usr/local/lib64
 
       - name: Verify binary was created
         run: |
           ls -lh ollama
           ./ollama --version
+        env:
+          LD_LIBRARY_PATH: /usr/local/cuda-11.4/lib64:/usr/local/cuda-11.4/targets/x86_64-linux/lib:/usr/lib64:/usr/local/lib64
 
       - name: Upload ollama binary as artifact
         uses: actions/upload-artifact@v4