vbatts/llama.cpp
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fix trailing ws

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Henri Vasserman 2023-05-27 00:37:31 +03:00 • committed by GitHub
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README.md
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@ -335,7 +335,7 @@ Building the program with BLAS support may lead to some performance improvements
</details>
Installing CLBlast: it may be found in your operating system's packages.
- <details>
<summary>If not, then installing from source:</summary>
@ -364,9 +364,9 @@ Building the program with BLAS support may lead to some performance improvements
cmake .. -DLLAMA_CLBLAST=ON -DCLBlast_dir=/some/path
cmake --build . --config Release
```
Running:
The CLBlast build supports `--gpu-layers|-ngl` like the CUDA version does.
To select the correct platform (driver) and device (GPU), you can use the environment variables `GGML_OPENCL_PLATFORM` and `GGML_OPENCL_DEVICE`.
@ -383,7 +383,7 @@ Building the program with BLAS support may lead to some performance improvements
Using the variables it is possible to select a CPU-based driver as well, if so desired.
You can get a list of platforms and devices from the `clinfo -l` command, etc.
### Prepare Data & Run
```bash