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| author | Daniel Bevenius <daniel.bevenius@gmail.com> | 2024-05-15 23:41:03 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-05-15 23:41:03 +0200 |
| commit | 8f7080bf48828b538bc9387c3d150bbd4fb4cf2d (patch) | |
| tree | f3f3daea1f3428eb869d88c2155e6638bca2de53 | |
| parent | e1b40ac3b94824d761b5e26ea1bc5692706029d9 (diff) | |
readme : remove stray double quote (#7310)
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -532,7 +532,7 @@ Building the program with BLAS support may lead to some performance improvements cmake -B build -DLLAMA_HIPBLAS=ON -DAMDGPU_TARGETS=gfx1030 -DCMAKE_BUILD_TYPE=Release \ && cmake --build build --config Release -- -j 16 ``` - On Linux it is also possible to use unified memory architecture (UMA) to share main memory between the CPU and integrated GPU by setting `-DLLAMA_HIP_UMA=ON"`. + On Linux it is also possible to use unified memory architecture (UMA) to share main memory between the CPU and integrated GPU by setting `-DLLAMA_HIP_UMA=ON`. However, this hurts performance for non-integrated GPUs (but enables working with integrated GPUs). - Using `make` (example for target gfx1030, build with 16 CPU threads): |