docs: LLAMA_CUBLAS -> LLAMA_CUDA

This commit is contained in:
Andrei Betlen 2024-04-04 02:49:19 -04:00
parent 612e78d322
commit c50309e52a

View file

@ -102,10 +102,10 @@ CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS" pip install llama-cpp-
<details>
<summary>cuBLAS (CUDA)</summary>
To install with cuBLAS, set the `LLAMA_CUBLAS=on` environment variable before installing:
To install with cuBLAS, set the `LLAMA_CUDA=on` environment variable before installing:
```bash
CMAKE_ARGS="-DLLAMA_CUBLAS=on" pip install llama-cpp-python
CMAKE_ARGS="-DLLAMA_CUDA=on" pip install llama-cpp-python
```
</details>
@ -569,7 +569,7 @@ python3 -m llama_cpp.server --model models/7B/llama-model.gguf
Similar to Hardware Acceleration section above, you can also install with GPU (cuBLAS) support like this:
```bash
CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install 'llama-cpp-python[server]'
CMAKE_ARGS="-DLLAMA_CUDA=on" FORCE_CMAKE=1 pip install 'llama-cpp-python[server]'
python3 -m llama_cpp.server --model models/7B/llama-model.gguf --n_gpu_layers 35
```