From 3b82834aafbd0966fef7dce67ea762bb928ce96d Mon Sep 17 00:00:00 2001
From: Guancheng Fu <110874468+gc-fu@users.noreply.github.com>
Date: Mon, 22 Apr 2024 14:18:51 +0800
Subject: [PATCH] Update README.md (#10838)

---
 docker/llm/README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docker/llm/README.md b/docker/llm/README.md
index 51d9b7f9..47a2fac7 100644
--- a/docker/llm/README.md
+++ b/docker/llm/README.md
@@ -152,14 +152,14 @@ Additionally, for examples related to Inference with Speculative Decoding, you c
 
 ## IPEX-LLM Inference on XPU
 
-### 1. Prepare ipex-llm-cpu Docker Image
+### 1. Prepare ipex-llm-xpu Docker Image
 
 Run the following command to pull image from dockerhub:
 ```bash
 docker pull intelanalytics/ipex-llm-xpu:2.1.0-SNAPSHOT
 ```
 
-### 2. Start bigdl-llm-cpu Docker Container
+### 2. Start ipex-llm-xpu Docker Container
 
 To map the xpu into the container, you need to specify --device=/dev/dri when booting the container.
 ```bash
@@ -650,4 +650,4 @@ Using the [export_merged_model.py](../../python/llm/example/GPU/LLM-Finetuning/Q
 python ./export_merged_model.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --adapter_path ./outputs/checkpoint-200 --output_path ./outputs/checkpoint-200-merged
 ```
 
-Then you can use `./outputs/checkpoint-200-merged` as a normal huggingface transformer model to do inference.
\ No newline at end of file
+Then you can use `./outputs/checkpoint-200-merged` as a normal huggingface transformer model to do inference.