From 3e98f6af8dc39e74188bac723141f9d021810534 Mon Sep 17 00:00:00 2001
From: Sahana CB <csahana@meta.com>
Date: Wed, 6 Dec 2023 19:15:18 -0800
Subject: [PATCH] Update README

Summary: - As title

Reviewed By: spencerwmeta

Differential Revision: D51927019

fbshipit-source-id: 57009c4f198eeb908338b8c3059744dc3241fe2f
---
 README.md | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index f1f036b28..2a861a4a1 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
 </p>
 
 <p align="center">
-        🤗 <a href="https://huggingface.co/meta-Llama"> Models on Hugging Face</a>&nbsp | <a href="https://ai.facebook.com/blog/purple-llama-open-trust-safety-generative-ai"> Blog</a>&nbsp |  <a href="https://ai.facebook.com/llama/purple-llama">Website</a>&nbsp | <a href="https://ai.meta.com/research/publications/purple-llama-cyberseceval-a-benchmark-for-evaluating-the-cybersecurity-risks-of-large-language-models/">CyberSec Eval Paper</a>&nbsp&nbsp | <a href="https://ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/">Llama Guard Paper</a>&nbsp
+        🤗 <a href="https://huggingface.co/meta-Llama"> Models on Hugging Face</a>&nbsp | <a href="https://ai.meta.com/blog/purple-llama-open-trust-safety-generative-ai"> Blog</a>&nbsp |  <a href="https://ai.meta.com/llama/purple-llama">Website</a>&nbsp | <a href="https://ai.meta.com/research/publications/purple-llama-cyberseceval-a-benchmark-for-evaluating-the-cybersecurity-risks-of-large-language-models/">CyberSec Eval Paper</a>&nbsp&nbsp | <a href="https://ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/">Llama Guard Paper</a>&nbsp
 <br>
 
 ---
@@ -72,8 +72,7 @@ accordance with content guidelines appropriate to the application.
 
 ### Llama Guard
 
-To support this, and empower the community, we are releasing
-[Llama Guard](https://ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/),
+To support this, and empower the community, we are releasing Llama Guard,
 an openly-available model that performs competitively on common open benchmarks
 and provides developers with a pretrained model to help defend against
 generating potentially risky outputs.