diff --git a/tico/quantization/wrapq/examples/quantize_full_qmodel_with_gptq.py b/tico/quantization/wrapq/examples/quantize_full_qmodel_with_gptq.py
index 404efd1d..5e002d87 100644
--- a/tico/quantization/wrapq/examples/quantize_full_qmodel_with_gptq.py
+++ b/tico/quantization/wrapq/examples/quantize_full_qmodel_with_gptq.py
@@ -36,6 +36,7 @@
 import torch
 import tqdm
 from datasets import load_dataset
+from lm_eval.utils import make_table
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
 from transformers.cache_utils import Cache
@@ -48,6 +49,7 @@
 from tico.quantization import convert, prepare
 from tico.quantization.config.gptq import GPTQConfig
 from tico.quantization.config.ptq import PTQConfig
+from tico.quantization.evaluation.script.llm_tasks_eval import evaluate_llm_on_tasks
 from tico.quantization.wrapq.dtypes import DType
 from tico.quantization.wrapq.observers.affine_base import AffineObserverBase
 from tico.quantization.wrapq.qscheme import QScheme
@@ -364,6 +366,11 @@ def evaluate(q_m, tokenizer, dataset_test, args):
     print(f"│ int16 : {ppl_uint8:8.2f}")
     print("└───────────────────────────────────────────")
 
+    if args.eval_tasks is not None:
+        results = evaluate_llm_on_tasks(q_m, tokenizer, args.eval_tasks)
+        print("Quantized RESULTS ARE:")
+        print(make_table(results))
+
 
 def main():
     parser = argparse.ArgumentParser(
@@ -521,6 +528,11 @@ def main():
     print(f"│ FP32 : {ppl_fp32:8.2f}")
     print("└───────────────────────────────────────────")
 
+    if args.eval_tasks is not None:
+        results = evaluate_llm_on_tasks(model, tokenizer, args.eval_tasks)
+        print("Original RESULTS ARE:")
+        print(make_table(results))
+
     # -------------------------------------------------------------------------
     # Prepare calibration dataset
     # -------------------------------------------------------------------------