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4 Commits
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3229228b8e
Author | SHA1 | Message | Date | |
---|---|---|---|---|
Yann Follet
|
3229228b8e
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Merge 14f64dab74 into 32d6ee6385
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Yann Follet
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14f64dab74
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Merge branch 'ggerganov:master' into cuda-build-doc | ||
Yann Follet
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f70b5148e1 | Merge branch 'cuda-build-doc' of https://github.com/YannFollet/llama.cpp into cuda-build-doc | ||
Yann Follet
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de1bb5a4ad | Add build command for CUDA with path example |
1 changed files with 6 additions and 0 deletions
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@ -134,6 +134,12 @@ This provides GPU acceleration using an NVIDIA GPU. Make sure to have the CUDA t
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cmake --build build --config Release
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```
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- Using `CMake` with path :
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```bash
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rm -rf build & /usr/local/bin/cmake -B build -DGGML_CUDA=ON -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc
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/usr/local/bin/cmake --build build --config Release -j
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```
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The environment variable [`CUDA_VISIBLE_DEVICES`](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars) can be used to specify which GPU(s) will be used.
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The environment variable `GGML_CUDA_ENABLE_UNIFIED_MEMORY=1` can be used to enable unified memory in Linux. This allows swapping to system RAM instead of crashing when the GPU VRAM is exhausted. In Windows this setting is available in the NVIDIA control panel as `System Memory Fallback`.
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|
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