diff --git a/README-ja-JP.md b/README-ja-JP.md
index 77736fc..ac1efba 100644
--- a/README-ja-JP.md
+++ b/README-ja-JP.md
@@ -108,7 +108,7 @@ Transformers を使用して InternLM 7B チャットモデルをロードする
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_path = "/mnt/petrelfs/share_data/xingshuhao/internlm-chat-7b/"
+model_path = "internlm/internlm-chat-7b"
 model = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
 
diff --git a/README-zh-Hans.md b/README-zh-Hans.md
index edb64df..764eeca 100644
--- a/README-zh-Hans.md
+++ b/README-zh-Hans.md
@@ -183,7 +183,7 @@ InternLM-7B 包含了一个拥有70亿参数的基础模型和一个为实际场
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_path = "/mnt/petrelfs/share_data/xingshuhao/internlm-chat-7b/"
+model_path = "internlm/internlm-chat-7b"
 model = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
 
diff --git a/README.md b/README.md
index 9983337..eb21166 100644
--- a/README.md
+++ b/README.md
@@ -180,7 +180,7 @@ The responses can be streamed using `stream_chat`:
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_path = "/mnt/petrelfs/share_data/xingshuhao/internlm-chat-7b/"
+model_path = "internlm/internlm-chat-7b"
 model = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)