[Misc] unify variable for LLM instance (#20996)

Signed-off-by: Andy Xie <andy.xning@gmail.com>

examples/offline_inference/neuron_speculation.py

@@ -25,7 +25,7 @@ def config_buckets():
     os.environ["NEURON_TOKEN_GEN_BUCKETS"] = "128,512,1024,2048"
 
 
-def initialize_model():
+def initialize_llm():
     """Create an LLM with speculative decoding."""
     return LLM(
         model="openlm-research/open_llama_7b",
@@ -43,9 +43,9 @@ def initialize_model():
     )
 
 
-def process_requests(model: LLM, sampling_params: SamplingParams):
+def process_requests(llm: LLM, sampling_params: SamplingParams):
     """Generate texts from prompts and print them."""
-    outputs = model.generate(prompts, sampling_params)
+    outputs = llm.generate(prompts, sampling_params)
     for output in outputs:
         prompt = output.prompt
         generated_text = output.outputs[0].text
@@ -53,12 +53,12 @@ def process_requests(model: LLM, sampling_params: SamplingParams):
 
 
 def main():
-    """Main function that sets up the model and processes prompts."""
+    """Main function that sets up the llm and processes prompts."""
     config_buckets()
-    model = initialize_model()
+    llm = initialize_llm()
     # Create a sampling params object.
     sampling_params = SamplingParams(max_tokens=100, top_k=1)
-    process_requests(model, sampling_params)
+    process_requests(llm, sampling_params)
 
 
 if __name__ == "__main__":