diff --git a/qa/L0_backend_python/common.sh b/qa/L0_backend_python/common.sh
index 6cda002045..074ad26da0 100644
--- a/qa/L0_backend_python/common.sh
+++ b/qa/L0_backend_python/common.sh
@@ -56,13 +56,21 @@ install_build_deps() {
 }
 
 create_conda_env() {
-  python_version=$1
-  env_name=$2
+  local python_version=$1
+  local env_name=$2
   conda create -n $env_name python=$python_version -y
   conda activate $env_name
   conda install -c conda-forge conda-pack -y
 }
 
+create_conda_env_with_specified_path() {
+  local python_version=$1
+  local env_path=$2
+  conda create -p $env_path python=$python_version -y 
+  conda activate $env_path
+  conda install -c conda-forge conda-pack -y
+}
+
 create_python_backend_stub() {
   rm -rf python_backend
   git clone https://github.com/triton-inference-server/python_backend -b $PYTHON_BACKEND_REPO_TAG
diff --git a/qa/L0_backend_python/env/test.sh b/qa/L0_backend_python/env/test.sh
index 48957bc311..a32c4036a4 100644
--- a/qa/L0_backend_python/env/test.sh
+++ b/qa/L0_backend_python/env/test.sh
@@ -30,7 +30,7 @@ source ../common.sh
 source ../../common/util.sh
 
 SERVER=/opt/tritonserver/bin/tritonserver
-BASE_SERVER_ARGS="--model-repository=`pwd`/models --log-verbose=1 --strict-model-config=false"
+BASE_SERVER_ARGS="--model-repository=`pwd`/models --log-verbose=1 --disable-auto-complete-config"
 PYTHON_BACKEND_BRANCH=$PYTHON_BACKEND_REPO_TAG
 SERVER_ARGS=$BASE_SERVER_ARGS
 SERVER_LOG="./inference_server.log"
@@ -63,6 +63,30 @@ cp ../../python_models/python_version/model.py ./models/python_3_7/1/
 cp python_backend/builddir/triton_python_backend_stub ./models/python_3_7
 conda deactivate
 
+# Use python-3-7 without conda pack
+# Create a model with python 3.7 version and numpy 1.20.3 to distinguish from 
+# previous test.
+# Tensorflow 2.1.0 only works with Python 3.4 - 3.7. Successful execution of
+# the Python model indicates that the environment has been setup correctly.
+path_to_conda_pack="$PWD/python-3-7-1"
+create_conda_env_with_specified_path "3.7" $path_to_conda_pack
+conda install numpy=1.20.3 -y
+conda install tensorflow=2.1.0 -y
+conda install -c conda-forge libstdcxx-ng=12 -y
+
+PY37_1_VERSION_STRING="Python version is 3.7, NumPy version is 1.20.3, and Tensorflow version is 2.1.0"
+create_python_backend_stub
+mkdir -p models/python_3_7_1/1/
+cp ../../python_models/python_version/config.pbtxt ./models/python_3_7_1
+(cd models/python_3_7_1 && \
+          sed -i "s/^name:.*/name: \"python_3_7_1\"/" config.pbtxt && \
+          echo "parameters: {key: \"EXECUTION_ENV_PATH\", value: {string_value: \"$path_to_conda_pack\"}}">> config.pbtxt)
+cp ../../python_models/python_version/model.py ./models/python_3_7_1/1/
+# Copy activate script to folder
+cp $path_to_conda_pack/lib/python3.7/site-packages/conda_pack/scripts/posix/activate $path_to_conda_pack/bin/.
+cp python_backend/builddir/triton_python_backend_stub ./models/python_3_7_1
+conda deactivate
+
 # Create a model with python 3.6 version
 # Tensorflow 2.1.0 only works with Python 3.4 - 3.7. Successful execution of
 # the Python model indicates that the environment has been setup correctly.
@@ -115,7 +139,7 @@ kill $SERVER_PID
 wait $SERVER_PID
 
 set +e
-for EXPECTED_VERSION_STRING in "$PY36_VERSION_STRING" "$PY37_VERSION_STRING" "$PY310_VERSION_STRING"; do
+for EXPECTED_VERSION_STRING in "$PY36_VERSION_STRING" "$PY37_VERSION_STRING" "$PY37_1_VERSION_STRING" "$PY310_VERSION_STRING"; do
     grep "$EXPECTED_VERSION_STRING" $SERVER_LOG
     if [ $? -ne 0 ]; then
         cat $SERVER_LOG