diff --git a/src/sagemaker_pytorch_serving_container/torchserve.py b/src/sagemaker_pytorch_serving_container/torchserve.py
index 048a06b4..529e4c85 100644
--- a/src/sagemaker_pytorch_serving_container/torchserve.py
+++ b/src/sagemaker_pytorch_serving_container/torchserve.py
@@ -136,18 +136,18 @@ def _generate_ts_config_properties(handler_service):
     ts_env = ts_environment.TorchServeEnvironment()
 
     if ts_env.is_env_set() and not ENABLE_MULTI_MODEL:
-        models_string = f'''{{\\
-        "{DEFAULT_TS_MODEL_NAME}": {{\\
-            "1.0": {{\\
-                "defaultVersion": true,\\
-                "marName": "{DEFAULT_TS_MODEL_NAME}.mar",\\
-                "minWorkers": {ts_env._min_workers},\\
-                "maxWorkers": {ts_env._max_workers},\\
-                "batchSize": {ts_env._batch_size},\\
-                "maxBatchDelay": {ts_env._max_batch_delay},\\
-                "responseTimeout": {ts_env._response_timeout}\\
-                }}\\
-            }}\\
+        models_string = f'''{{\\\n
+        "{DEFAULT_TS_MODEL_NAME}": {{\\\n
+            "1.0": {{\\\n
+                "defaultVersion": true,\\\n
+                "marName": "{DEFAULT_TS_MODEL_NAME}.mar",\\\n
+                "minWorkers": {ts_env._min_workers},\\\n
+                "maxWorkers": {ts_env._max_workers},\\\n
+                "batchSize": {ts_env._batch_size},\\\n
+                "maxBatchDelay": {ts_env._max_batch_delay},\\\n
+                "responseTimeout": {ts_env._response_timeout}\\\n
+                }}\\\n
+            }}\\\n
         }}'''
         user_defined_configuration["models"] = models_string
         logger.warn("Sagemaker TS environment variables have been set and will be used "
diff --git a/test/container/1.10.2/Dockerfile.dlc.cpu b/test/container/1.10.2/Dockerfile.dlc.cpu
index df81de2f..d3c7315c 100644
--- a/test/container/1.10.2/Dockerfile.dlc.cpu
+++ b/test/container/1.10.2/Dockerfile.dlc.cpu
@@ -1,9 +1,6 @@
 ARG region
 FROM 763104351884.dkr.ecr.$region.amazonaws.com/pytorch-inference:1.10.2-cpu-py38-ubuntu20.04-sagemaker
 
-RUN pip uninstall torchserve -y && \
-    pip install torchserve-nightly==2022.3.23.post2
-
 COPY dist/sagemaker_pytorch_inference-*.tar.gz /sagemaker_pytorch_inference.tar.gz
 RUN pip install --upgrade --no-cache-dir /sagemaker_pytorch_inference.tar.gz && \
     rm /sagemaker_pytorch_inference.tar.gz
diff --git a/test/container/1.10.2/Dockerfile.dlc.gpu b/test/container/1.10.2/Dockerfile.dlc.gpu
index 2970d718..192b6662 100644
--- a/test/container/1.10.2/Dockerfile.dlc.gpu
+++ b/test/container/1.10.2/Dockerfile.dlc.gpu
@@ -1,9 +1,6 @@
 ARG region
 FROM 763104351884.dkr.ecr.$region.amazonaws.com/pytorch-inference:1.10.2-gpu-py38-cu113-ubuntu20.04-sagemaker
 
-RUN pip uninstall torchserve -y && \
-    pip install torchserve-nightly==2022.3.23.post2
-
 COPY dist/sagemaker_pytorch_inference-*.tar.gz /sagemaker_pytorch_inference.tar.gz
 RUN pip install --upgrade --no-cache-dir /sagemaker_pytorch_inference.tar.gz && \
     rm /sagemaker_pytorch_inference.tar.gz