From d42b1eb0deeb2f97858ca647200731f57adce540 Mon Sep 17 00:00:00 2001
From: Zhanghao Wu <zhanghao.wu@outlook.com>
Date: Tue, 19 Mar 2024 00:24:36 +0000
Subject: [PATCH] fix lorax logo

---
 llm/lorax/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/llm/lorax/README.md b/llm/lorax/README.md
index cd9ffb171f7..2fe548c92a8 100644
--- a/llm/lorax/README.md
+++ b/llm/lorax/README.md
@@ -4,7 +4,7 @@
 <!-- $UNCOMMENT# LoRAX: Multi-LoRA Inference Server -->
 
 <p align="center">
-    <img src="https://github.com/predibase/lorax/blob/main/docs/images/lorax_guy.png" alt="LoRAX" style="width:200px;" />
+    <img src="https://imgur.com/OUapRYC.png" alt="LoRAX" style="width:200px;" />
 </p>
 
 [LoRAX](https://github.com/predibase/lorax) (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned LLMs on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency. It works by dynamically loading multiple fine-tuned "adapters" (LoRAs, etc.) on top of a single base model at runtime. Concurrent requests for different adapters can be processed together in a single batch, allowing LoRAX to maintain near linear throughput scaling as the number of adapters increases.