diff --git a/language/bert/onnxruntime_SUT.py b/language/bert/onnxruntime_SUT.py
index 0b2a4a7b0..aff0c6321 100644
--- a/language/bert/onnxruntime_SUT.py
+++ b/language/bert/onnxruntime_SUT.py
@@ -34,10 +34,13 @@ def __init__(self, args):
 
         print("Loading ONNX model...")
         self.quantized = args.quantized
-        if self.quantized:
-            model_path = "build/data/bert_tf_v1_1_large_fp32_384_v2/bert_large_v1_1_fake_quant.onnx"
-        else:
-            model_path = "build/data/bert_tf_v1_1_large_fp32_384_v2/model.onnx"
+
+        model_path = os.environ.get("MODEL_FILE")
+        if not model_path:
+            if self.quantized:
+                model_path = "build/data/bert_tf_v1_1_large_fp32_384_v2/bert_large_v1_1_fake_quant.onnx"
+            else:
+                model_path = "build/data/bert_tf_v1_1_large_fp32_384_v2/model.onnx"
         self.sess = onnxruntime.InferenceSession(model_path, self.options)
 
         print("Constructing SUT...")
diff --git a/language/bert/run.py b/language/bert/run.py
index 8d471bfc5..9319d23dd 100644
--- a/language/bert/run.py
+++ b/language/bert/run.py
@@ -86,8 +86,9 @@ def main():
         settings.mode = lg.TestMode.AccuracyOnly
     else:
         settings.mode = lg.TestMode.PerformanceOnly
-
-    log_path = "build/logs"
+    log_path = os.environ.get("LOG_PATH")
+    if not log_path:
+        log_path = "build/logs"
     if not os.path.exists(log_path):
         os.makedirs(log_path)
     log_output_settings = lg.LogOutputSettings()
@@ -99,8 +100,7 @@ def main():
 
     print("Running LoadGen test...")
     lg.StartTestWithLogSettings(sut.sut, sut.qsl.qsl, settings, log_settings)
-
-    if args.accuracy:
+    if args.accuracy and not os.environ.get("SKIP_VERIFY_ACCURACY"):
         cmd = "python3 {:}/accuracy-squad.py {}".format(
             os.path.dirname(os.path.abspath(__file__)),
             '--max_examples {}'.format(
diff --git a/language/bert/squad_QSL.py b/language/bert/squad_QSL.py
index 270a26e99..c751c33c6 100644
--- a/language/bert/squad_QSL.py
+++ b/language/bert/squad_QSL.py
@@ -44,10 +44,16 @@ def __init__(self, total_count_override=None, perf_count_override=None, cache_pa
             print("No cached features at '%s'... converting from examples..." % cache_path)
 
             print("Creating tokenizer...")
-            tokenizer = BertTokenizer("build/data/bert_tf_v1_1_large_fp32_384_v2/vocab.txt")
+            vocab_file = os.environ.get("VOCAB_FILE")
+            if not vocab_file:
+                vocab_file = "build/data/bert_tf_v1_1_large_fp32_384_v2/vocab.txt"
+            tokenizer = BertTokenizer(vocab_file)
 
             print("Reading examples...")
-            eval_examples = read_squad_examples(input_file="build/data/dev-v1.1.json",
+            dataset_file = os.environ.get("DATASET_FILE")
+            if not dataset_file:
+                dataset_file = "build/data/dev-v1.1.json"
+            eval_examples = read_squad_examples(input_file=dataset_file,
                 is_training=False, version_2_with_negative=False)
 
             print("Converting examples to features...")