When llama-server is built with shared libs (setup.sh default), it needs libcudart.so.12 and other CUDA runtime libs. Add /usr/local/cuda/lib64 and targets path to LD_LIBRARY_PATH so the server starts correctly even when CUDA isn't on the system path. |
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| .. | ||
| data_recipe | ||
| export | ||
| inference | ||
| training | ||
| __init__.py | ||