diff --git a/python/llm/example/NPU/HF-Transformers-AutoModels/LLM/README.md b/python/llm/example/NPU/HF-Transformers-AutoModels/LLM/README.md
index 1445c56168f..d47dcf16984 100644
--- a/python/llm/example/NPU/HF-Transformers-AutoModels/LLM/README.md
+++ b/python/llm/example/NPU/HF-Transformers-AutoModels/LLM/README.md
@@ -62,7 +62,7 @@ python ./generate.py
 Arguments info:
 - `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for the Llama2 model (e.g. `meta-llama/Llama-2-7b-chat-hf`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'meta-llama/Llama-2-7b-chat-hf'`, and more verified models please see the list in [Verified Models](#verified-models).
 - `--lowbit-path LOWBIT_MODEL_PATH`: argument defining the path to save/load lowbit version of the model. If it is an empty string, the original pretrained model specified by `REPO_ID_OR_MODEL_PATH` will be loaded. If it is an existing path, the lowbit model in `LOWBIT_MODEL_PATH` will be loaded. If it is a non-existing path, the original pretrained model specified by `REPO_ID_OR_MODEL_PATH` will be loaded, and the converted lowbit version will be saved into `LOWBIT_MODEL_PATH`. It is default to be `''`, i.e. an empty string.
-- `--prompt PROMPT`: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be `'Once upon a time, there existed a little girl who liked to have adventures. She wanted to go to places and meet new people, and have fun'`.
+- `--prompt PROMPT`: argument defining the prompt to be infered. It is default to be `'Once upon a time, there existed a little girl who liked to have adventures. She wanted to go to places and meet new people, and have fun'`.
 - `--n-predict N_PREDICT`: argument defining the max number of tokens to predict. It is default to be `32`.
 - `--load_in_low_bit`: argument defining the `load_in_low_bit` format used. It is default to be `sym_int8`, `sym_int4` can also be used.
 
diff --git a/python/llm/example/NPU/HF-Transformers-AutoModels/LLM/generate.py b/python/llm/example/NPU/HF-Transformers-AutoModels/LLM/generate.py
index 6c1da3d89ed..41a14e1a32b 100644
--- a/python/llm/example/NPU/HF-Transformers-AutoModels/LLM/generate.py
+++ b/python/llm/example/NPU/HF-Transformers-AutoModels/LLM/generate.py
@@ -66,8 +66,7 @@
         model.save_low_bit(args.lowbit_path)
 
     with torch.inference_mode():
-        prompt = "Once upon a time, there existed a little girl who liked to have adventures. She wanted to go to places and meet new people, and have fun"
-        input_ids = tokenizer.encode(prompt, return_tensors="pt")
+        input_ids = tokenizer.encode(args.prompt, return_tensors="pt")
         print("finish to load")
         print('input length:', len(input_ids[0]))
         st = time.time()