diff --git a/.github/workflows/llm_performance_tests.yml b/.github/workflows/llm_performance_tests.yml
index 511c3e4f..8275aa44 100644
--- a/.github/workflows/llm_performance_tests.yml
+++ b/.github/workflows/llm_performance_tests.yml
@@ -83,7 +83,16 @@ jobs:
           cd python/llm/dev/benchmark/all-in-one
           # hide time info
           sed -i 's/str(end - st)/"xxxxxx"/g' run.py
+          # change csv name
+          sed -i 's/{today}/{today}_test1/g' run.py
           python run.py
+          # upgrade transformers for model Mistral-7B-v0.1
+          python -m pip install transformers==4.34.0
+          mv ../../../test/benchmark/arc-perf-transformers-434.yaml ./config.yaml
+          # change csv name
+          sed -i 's/test1/test2/g' run.py
+          python run.py
+          python ../../../test/benchmark/concat_csv.py
           cp ./*.csv $CSV_SAVE_PATH
           cd ../../../test/benchmark
           python csv_to_html.py -f $CSV_SAVE_PATH
diff --git a/python/llm/test/benchmark/arc-perf-test.yaml b/python/llm/test/benchmark/arc-perf-test.yaml
index 43a36e63..adbd4c5a 100644
--- a/python/llm/test/benchmark/arc-perf-test.yaml
+++ b/python/llm/test/benchmark/arc-perf-test.yaml
@@ -15,8 +15,6 @@ repo_id:
   - 'baichuan-inc/Baichuan2-7B-Chat'
   - 'bigscience/bloomz-7b1'
   - 'fnlp/moss-moon-003-sft'
-  # - 'baichuan-inc/Baichuan-13B-Chat'
-  # - 'mistralai/Mistral-7B-v0.1'
 local_model_hub: '/mnt/disk1/models'
 warm_up: 1
 num_trials: 3
diff --git a/python/llm/test/benchmark/arc-perf-transformers-434.yaml b/python/llm/test/benchmark/arc-perf-transformers-434.yaml
new file mode 100644
index 00000000..8f4c24d9
--- /dev/null
+++ b/python/llm/test/benchmark/arc-perf-transformers-434.yaml
@@ -0,0 +1,14 @@
+# For the models that require transformers 4.34.0
+repo_id:
+  - 'mistralai/Mistral-7B-v0.1'
+local_model_hub: '/mnt/disk1/models'
+warm_up: 1
+num_trials: 3
+num_beams: 1 # default to greedy search
+low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
+in_out_pairs:
+  - '32-32'
+  - '1024-128'
+  - '2048-256'
+test_api:
+  - "transformer_int4_gpu"  # on Intel GPU
\ No newline at end of file
diff --git a/python/llm/test/benchmark/concat_csv.py b/python/llm/test/benchmark/concat_csv.py
new file mode 100644
index 00000000..d230c21b
--- /dev/null
+++ b/python/llm/test/benchmark/concat_csv.py
@@ -0,0 +1,48 @@
+#
+# Copyright 2016 The BigDL Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+# Python program to concat CSVs
+
+import os
+import sys
+import argparse
+import pandas as pd
+
+def main():
+    parser = argparse.ArgumentParser(description="concat .csv files")
+    parser.add_argument("-f", "--folder_path", type=str, dest="folder_path",
+                        help="The directory which stores the .csv files", default="./")
+    args = parser.parse_args()
+
+    csv_files = []
+    for file_name in os.listdir(args.folder_path):
+        file_path = os.path.join(args.folder_path, file_name)
+        if os.path.isfile(file_path) and file_name.endswith(".csv"):
+            csv_files.append(file_path)
+    csv_files.sort()
+
+    df1 = pd.read_csv(csv_files[0], index_col=0)
+    df2 = pd.read_csv(csv_files[1], index_col=0)
+    merged_df = pd.concat([df1, df2], ignore_index=True)
+    merged_df.reset_index(drop=True, inplace=True)
+
+    merged_csv=csv_files[0].replace("_test1", "")
+    merged_df.to_csv(merged_csv)
+    os.remove(csv_files[0])
+    os.remove(csv_files[1])
+
+if __name__ == "__main__":
+    sys.exit(main())