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

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

examples/offline_inference/basic/classify.py

@@ -28,10 +28,10 @@ def main(args: Namespace):
 
     # Create an LLM.
     # You should pass task="classify" for classification models
-    model = LLM(**vars(args))
+    llm = LLM(**vars(args))
 
     # Generate logits. The output is a list of ClassificationRequestOutputs.
-    outputs = model.classify(prompts)
+    outputs = llm.classify(prompts)
 
     # Print the outputs.
     print("\nGenerated Outputs:\n" + "-" * 60)

examples/offline_inference/basic/embed.py

@@ -31,10 +31,10 @@ def main(args: Namespace):
 
     # Create an LLM.
     # You should pass task="embed" for embedding models
-    model = LLM(**vars(args))
+    llm = LLM(**vars(args))
 
     # Generate embedding. The output is a list of EmbeddingRequestOutputs.
-    outputs = model.embed(prompts)
+    outputs = llm.embed(prompts)
 
     # Print the outputs.
     print("\nGenerated Outputs:\n" + "-" * 60)

examples/offline_inference/basic/score.py

@@ -27,10 +27,10 @@ def main(args: Namespace):
 
     # Create an LLM.
     # You should pass task="score" for cross-encoder models
-    model = LLM(**vars(args))
+    llm = LLM(**vars(args))
 
     # Generate scores. The output is a list of ScoringRequestOutputs.
-    outputs = model.score(text_1, texts_2)
+    outputs = llm.score(text_1, texts_2)
 
     # Print the outputs.
     print("\nGenerated Outputs:\n" + "-" * 60)