diff --git a/models/nlp/language_model/bert_large_squad/igie/ci/prepare.sh b/models/nlp/language_model/bert_large_squad/igie/ci/prepare.sh
index 13d88f0235a3d50be446ded38c54d1fdc64147e1..f0b1ac0f136b553eb02061714fbe774475b6ecdf 100644
--- a/models/nlp/language_model/bert_large_squad/igie/ci/prepare.sh
+++ b/models/nlp/language_model/bert_large_squad/igie/ci/prepare.sh
@@ -22,7 +22,7 @@ pip3 install -r requirements.txt
 python3 export.py --output bert-large-uncased-squad-v1.onnx
 
 # Do QAT for INT8 test, will take a long time  
-cd Int8QAT
-bash run_qat.sh
+# cd Int8QAT
+# bash run_qat.sh
 
-python3 export_hdf5.py --model quant_bert_large/pytorch_model.bin --model_name large
\ No newline at end of file
+# python3 export_hdf5.py --model quant_bert_large/pytorch_model.bin --model_name large
\ No newline at end of file
diff --git a/tests/run_igie.py b/tests/run_igie.py
index 7023414bc2246cac21081b514c68f53cd21c0bcc..db4548d9b018d024db4fc57b5fc9db6275d5dc73 100644
--- a/tests/run_igie.py
+++ b/tests/run_igie.py
@@ -374,7 +374,7 @@ def run_nlp_testcase(model):
     d_url = model["download_url"]
     checkpoint_n = d_url.split("/")[-1]
     dataset_n = model["datasets"].split("/")[-1]
-    target_dirs = {"bert_base_squad": "csarron/bert-base-uncased-squad-v1", "bert_base_ner":"test"}
+    target_dirs = {"bert_base_squad": "csarron/bert-base-uncased-squad-v1", "bert_base_ner":"test", "bert_large_squad": "neuralmagic/bert-large-uncased-finetuned-squadv1"}
     target_dir = target_dirs[model_name]
     dirname = os.path.dirname(target_dir)
     mkdir_script = f"mkdir -p {dirname}" if dirname else ""
@@ -388,6 +388,10 @@ def run_nlp_testcase(model):
     bash ci/prepare.sh
     """
 
+    # prepare int8 model for bert_large_squad
+    if model_name == "bert_large_squad":
+        prepare_script += "ln -s /mnt/deepspark/data/checkpoints/bert_large_int8.hdf5 ./\n"
+
     # add pip list info when in debug mode
     if utils.is_debug():
         pip_list_script = "pip list | grep -E 'numpy|transformer|igie|mmcv|onnx'\n"