diff --git a/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/README.md b/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/README.md
index d6297bda5f2..39b6e9f3902 100644
--- a/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/README.md
+++ b/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/README.md
@@ -41,7 +41,6 @@ Then, './AdvertiseGen' will be converted to './AdvertiseGen_fix'. Now, we have p
 
 Start the fine-tuning by:
 
-
 ```bash
 bash lora_finetuning_on_chatglm3_6b_with_1_arc_card.sh
 ```
diff --git a/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/lora_finetune_chatglm.py b/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/lora_finetune_chatglm.py
index 2e99b8e4406..7e080a35629 100644
--- a/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/lora_finetune_chatglm.py
+++ b/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/lora_finetune_chatglm.py
@@ -13,10 +13,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-# Some parts of this file is adapted from
-# https://github.com/tloen/alpaca-lora/blob/main/finetune.py
-#
-# Copyright 2023 Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -30,7 +26,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # This example is ported from https://github.com/THUDM/ChatGLM3/blob/main/finetune_demo/finetune_hf.py
-
+# L415-L427 are modified to enable the example on Intel Arc
 
 import os
 import jieba
@@ -413,6 +409,8 @@ def load_tokenizer_and_model(
                 config=config,
             )
         if peft_config.peft_type.name == "LORA":
+            # Modified below to adapt to ipex-llm, which is different from
+            # https://github.com/THUDM/ChatGLM3/blob/main/finetune_demo/finetune_hf.py#L400-L406
             from ipex_llm.transformers import AutoModelForCausalLM
             from ipex_llm.transformers.qlora import get_peft_model
             import os
diff --git a/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/process_advertise_gen_dataset.py b/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/process_advertise_gen_dataset.py
index 18f1040ef01..097548b2a88 100644
--- a/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/process_advertise_gen_dataset.py
+++ b/python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/process_advertise_gen_dataset.py
@@ -14,7 +14,7 @@
 # limitations under the License.
 #
 # This is ported from https://github.com/THUDM/ChatGLM3/blob/main/finetune_demo/lora_finetune.ipynb
-
+# L60 is changed to enable users to finish all operations under one working directory
 
 import json
 from typing import Union
diff --git a/python/llm/example/GPU/LLM-Finetuning/README.md b/python/llm/example/GPU/LLM-Finetuning/README.md
index e1760a0c07b..cbd4d2695c2 100644
--- a/python/llm/example/GPU/LLM-Finetuning/README.md
+++ b/python/llm/example/GPU/LLM-Finetuning/README.md
@@ -17,7 +17,7 @@ This folder contains examples of running different training mode with IPEX-LLM o
 |------------|-----------------------------------------------------------------|-----------------------------------------------------------------|
 | LLaMA 2/3    |   [LoRA](LoRA), [QLoRA](QLoRA), [QA-LoRA](QA-LoRA), [ReLora](ReLora)  | [HF-PEFT](HF-PEFT), [axolotl](axolotl) |
 | Mistral | [LoRA](DPO), [QLoRA](DPO) | [DPO](DPO) |
-| ChatGLM 3 | [QLoRA](QLoRA/alpaca-qlora#3-qlora-finetune) | HF-PEFT |
+| ChatGLM 3 | [LoRA](LoRA/chatglm_finetune#lora-fine-tuning-on-chatglm3-6b-with-ipex-llm), [QLoRA](QLoRA/alpaca-qlora#3-qlora-finetune) | HF-PEFT |
 | Qwen-1.5 | [QLoRA](QLoRA/alpaca-qlora#3-qlora-finetune) | HF-PEFT |
 | Baichuan2 | [QLoRA](QLoRA/alpaca-qlora#3-qlora-finetune) | HF-PEFT |