chore: precision -> model_precision option

Author: keehyuna

tests/py/dynamo/llm/test_llm_models.py

@@ -23,15 +23,15 @@ def test_llm_decoder_layer(precision):
         args.debug = False
         args.num_tokens = 128
         args.model = "Qwen/Qwen2.5-0.5B-Instruct"
-        args.precision = precision
+        args.model_precision = precision
         args.min_block_size = 1
         args.prompt = "What is parallel programming ?"
-        if args.precision == "FP16":
+        if args.model_precision == "FP16":
             dtype = torch.float16
-        elif args.precision == "BF16":
+        elif args.model_precision == "BF16":
             dtype = torch.bfloat16
         else:
-            args.precision = "FP32"
+            args.model_precision = "FP32"
             dtype = torch.float32
 
         model = (