fix: convert chat messages to text for AutoRound calibration

quantize_awq.py

@@ -23,10 +23,14 @@ model = AutoModelForCausalLM.from_pretrained(
     MODEL, torch_dtype=torch.float16, device_map="auto"
 )
 
-# Domain calibration from training data
+# Domain calibration from training data (chat format → raw text)
 print("Loading calibration data...")
 with open(CALIB_DATA) as f:
-    calib = [json.loads(line)["text"] for line in f]
+    calib = []
+    for line in f:
+        msgs = json.loads(line)["messages"]
+        text = tokenizer.apply_chat_template(msgs, tokenize=False)
+        calib.append(text)
 
 print(f"Calibration samples: {len(calib)}")