fix: missing CLBLAS documentation

README.md

@@ -299,6 +299,22 @@ Building the program with BLAS support may lead to some performance improvements
     cmake --build . --config Release
     ```
 
+- clBLAS
+
+  This provides BLAS acceleration using the CUDA cores of your GPU. Make sure to have the cblas installed.
+  - Using `make`:
+    ```bash
+    make LLAMA_CLBLAS=1
+    ```
+  - Using `CMake`:
+
+    ```bash
+    mkdir build
+    cd build
+    cmake .. -DLLAMA_CLBLAS=ON
+    cmake --build . --config Release
+    ```
+
 Note: Because llama.cpp uses multiple CUDA streams for matrix multiplication results [are not guaranteed to be reproducible](https://docs.nvidia.com/cuda/cublas/index.html#results-reproducibility). If you need reproducibility, set `GGML_CUDA_MAX_STREAMS` in the file `ggml-cuda.cu` to 1.
 
 ### Prepare Data & Run