- Linux: CUDA detection via /usr/local/cuda*, Ninja preferred - macOS: Metal backend auto-enabled (llama.cpp default), no CUDA - Windows: CUDA via CUDA_PATH env and toolkit dirs, VS generator fallback, binaries in build/bin/Release/, copy instead of symlink - Reuse existing source (don't re-clone if CMakeLists.txt present) - Both llama-server and llama-quantize verified and built |
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|---|---|---|
| .. | ||
| __init__.py | ||
| audio_codecs.py | ||
| defaults.py | ||
| inference.py | ||
| llama_cpp.py | ||
| llama_cpp_builder.py | ||
| orchestrator.py | ||
| worker.py | ||