diff --git a/README.md b/README.md
index d8bd0facf..17dfa815b 100644
--- a/README.md
+++ b/README.md
@@ -40,7 +40,7 @@ What does it mean? You get llama.cpp with a fancy UI, persistent stories, editin
 - If you want you can also link your own install of OpenBLAS manually with `make LLAMA_OPENBLAS=1`
 - Alternatively, if you want you can also link your own install of CLBlast manually with `make LLAMA_CLBLAST=1`, for this you will need to obtain and link OpenCL and CLBlast libraries.
 - For a full featured build, do `make LLAMA_OPENBLAS=1 LLAMA_CLBLAST=1`
-  - For Arch Linux: Install `cblas` and `openblas`. 
+  - For Arch Linux: Install `cblas` `openblas` and `clblast`. 
   - For Debian: Install `libclblast-dev` and `libopenblas-dev`.
 - After all binaries are built, you can run the python script with the command `koboldcpp.py [ggml_model.bin] [port]`
 
@@ -66,4 +66,4 @@ What does it mean? You get llama.cpp with a fancy UI, persistent stories, editin
   - GPT-J (All versions including legacy f16, newer format + quantized, pyg.cpp, new pygmalion, janeway etc.) Supports OpenBLAS acceleration only for newer format. 
   - RWKV (f16 GGMF format), unaccelerated due to RNN properties.
   - GPT-NeoX / Pythia
-  - Basically every single current and historical GGML format that has ever existed should be supported, except for bloomz.cpp due to lack of demand.
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+  - Basically every single current and historical GGML format that has ever existed should be supported, except for bloomz.cpp due to lack of demand.