From bd5ecc356e46f07701fb938afd4dc230d6abe5c4 Mon Sep 17 00:00:00 2001
From: Concedo <39025047+LostRuins@users.noreply.github.com>
Date: Sun, 31 Dec 2023 10:53:06 +0800
Subject: [PATCH] updated readme

---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 084527a14..4b5a4c780 100644
--- a/README.md
+++ b/README.md
@@ -31,7 +31,8 @@ For more information, be sure to run the program with the `--help` flag, or [che
 - Note that KoboldCpp is not responsible for your usage of this Colab Notebook, you should ensure that your own usage complies with Google Colab's terms of use.
 
 ## OSX and Linux
-- You will have to compile your binaries from source. A makefile is provided, simply run `make`.
+- For Linux users with a modern system with AVX2 support, you can try the `koboldcpp-linux-x64` PyInstaller prebuilt binary on the **[releases](https://github.com/LostRuins/koboldcpp/releases/latest)** page first.
+- Otherwise, you will have to compile your binaries from source. A makefile is provided, simply run `make`.
 - If you want you can also link your own install of OpenBLAS manually with `make LLAMA_OPENBLAS=1`
 - Arch Linux users can install koboldcpp via the AUR package provided by @AlpinDale. Please see [below](#arch-linux) for more details.
 - 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.