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| author | vodkaslime <646329483@qq.com> | 2023-12-01 05:49:21 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-11-30 23:49:21 +0200 |
| commit | 524907aa768a26cbf83d8e2eb30547e2ee1d1b1a (patch) | |
| tree | 5aad2be9a498305543733cf64de87f3f84e0157a | |
| parent | 3bd2c7ce1b752973cf937482a0333e85d1681e2b (diff) | |
readme : fix (#4135)
* fix: readme
* chore: resolve comments
* chore: resolve comments
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -324,7 +324,7 @@ mpirun -hostfile hostfile -n 3 ./main -m ./models/7B/ggml-model-q4_0.gguf -n 128 ### BLAS Build -Building the program with BLAS support may lead to some performance improvements in prompt processing using batch sizes higher than 32 (the default is 512). BLAS doesn't affect the normal generation performance. There are currently three different implementations of it: +Building the program with BLAS support may lead to some performance improvements in prompt processing using batch sizes higher than 32 (the default is 512). Support with CPU-only BLAS implementations doesn't affect the normal generation performance. We may see generation performance improvements with GPU-involved BLAS implementations, e.g. cuBLAS, hipBLAS and CLBlast. There are currently several different BLAS implementations available for build and use: - #### Accelerate Framework: |