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Update llama.cpp-models.md
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@ -16,11 +16,22 @@ Enabled with the `--n-gpu-layers` parameter. If you have enough VRAM, use a high
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Note that you need to manually install `llama-cpp-python` with GPU support. To do that:
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#### Linux
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```
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pip uninstall -y llama-cpp-python
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CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python --no-cache-dir
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```
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#### Windows
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```
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pip uninstall -y llama-cpp-python
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set CMAKE_ARGS="-DLLAMA_CUBLAS=on"
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set FORCE_CMAKE=1
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pip install llama-cpp-python --no-cache-dir
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```
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Here you can find the different compilation options for OpenBLAS / cuBLAS / CLBlast: https://pypi.org/project/llama-cpp-python/
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## Performance
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