diff --git a/.gitea/workflows/build-sidecar.yml b/.gitea/workflows/build-sidecar.yml
index 66babee..d896e3a 100644
--- a/.gitea/workflows/build-sidecar.yml
+++ b/.gitea/workflows/build-sidecar.yml
@@ -152,7 +152,9 @@ jobs:
         run: |
           rm -rf dist/local-transcription-backend build/
           uv pip install torch torchaudio --index-url https://download.pytorch.org/whl/cpu --force-reinstall
-          uv run pyinstaller local-transcription-headless.spec
+          # Run pyinstaller directly from venv to prevent uv run from
+          # re-resolving torch back to the CUDA version via pyproject.toml sources
+          .venv/bin/pyinstaller local-transcription-headless.spec
 
       - name: Package sidecar (CPU)
         run: |
@@ -268,7 +270,9 @@ jobs:
         run: |
           Remove-Item -Recurse -Force dist\local-transcription-backend, build -ErrorAction SilentlyContinue
           uv pip install torch torchaudio --index-url https://download.pytorch.org/whl/cpu --force-reinstall
-          uv run pyinstaller local-transcription-headless.spec
+          # Run pyinstaller directly from venv to prevent uv run from
+          # re-resolving torch back to the CUDA version via pyproject.toml sources
+          .venv\Scripts\pyinstaller.exe local-transcription-headless.spec
 
       - name: Package sidecar (CPU)
         shell: powershell
@@ -370,10 +374,9 @@ jobs:
         run: |
           # UV_NO_SOURCES bypasses pyproject.toml's [tool.uv.sources] which forces
           # torch from the CUDA index (no macOS ARM wheels there).
-          # Applies to both uv sync AND uv run (which re-resolves).
           # Default PyPI torch includes MPS (Apple Silicon GPU) support.
           uv sync
-          uv run pyinstaller local-transcription-headless.spec
+          .venv/bin/pyinstaller local-transcription-headless.spec
 
       - name: Package sidecar (CPU)
         run: |