diff --git a/README.md b/README.md
index 72bd59d..4a381c8 100644
--- a/README.md
+++ b/README.md
@@ -693,6 +693,8 @@ model = AutoPeftModelForCausalLM.from_pretrained(
 ).eval()
 ```
 
+> NOTE: If `peft>=0.8.0`, it will try to load the tokenizer as well, however, initialized without `trust_remote_code=True`, leading to `ValueError: Tokenizer class QWenTokenizer does not exist or is not currently imported.` Currently, you could downgrade `peft<0.8.0` or move tokenizer files elsewhere to workaround this issue.
+
 If you want to merge the adapters and save the finetuned model as a standalone model (you can only do this with LoRA, and you CANNOT merge the parameters from Q-LoRA), you can run the following codes:
 
 ```python