diff --git a/ci/L0_multi_gpu/multi_lora/test.sh b/ci/L0_multi_gpu/multi_lora/test.sh
index de32c01e..b561a2d0 100755
--- a/ci/L0_multi_gpu/multi_lora/test.sh
+++ b/ci/L0_multi_gpu/multi_lora/test.sh
@@ -52,15 +52,16 @@ cp -r ${SAMPLE_MODELS_REPO}/vllm_model models/vllm_llama_multi_lora
 
 export SERVER_ENABLE_LORA=true
 
+# Check boolean flag value for `enable_lora`
 model_json=$(cat <<EOF
 {
     "model":"./weights/backbone/gemma-2b",
-    "disable_log_requests": "true",
+    "disable_log_requests": true,
     "gpu_memory_utilization": 0.7,
     "tensor_parallel_size": 2,
     "block_size": 16,
-    "enforce_eager": "true",
-    "enable_lora": "true",
+    "enforce_eager": true,
+    "enable_lora": true,
     "max_lora_rank": 32,
     "lora_extra_vocab_size": 256,
     "distributed_executor_backend":"ray"
@@ -110,16 +111,108 @@ set -e
 kill $SERVER_PID
 wait $SERVER_PID
 
+# Check string flag value for `enable_lora`
+model_json=$(cat <<EOF
+{
+    "model":"./weights/backbone/gemma-2b",
+    "disable_log_requests": true,
+    "gpu_memory_utilization": 0.7,
+    "tensor_parallel_size": 2,
+    "block_size": 16,
+    "enforce_eager": true,
+    "enable_lora": "true",
+    "max_lora_rank": 32,
+    "lora_extra_vocab_size": 256,
+    "distributed_executor_backend":"ray"
+}
+EOF
+)
+echo "$model_json" > models/vllm_llama_multi_lora/1/model.json
+
+run_server
+if [ "$SERVER_PID" == "0" ]; then
+    cat $SERVER_LOG
+    echo -e "\n***\n*** Failed to start $SERVER\n***"
+    exit 1
+fi
+
+set +e
+python3 $CLIENT_PY -v > $CLIENT_LOG 2>&1
+
+if [ $? -ne 0 ]; then
+    cat $CLIENT_LOG
+    echo -e "\n***\n*** Running $CLIENT_PY FAILED. \n***"
+    RET=1
+else
+    check_test_results $TEST_RESULT_FILE $EXPECTED_NUM_TESTS
+    if [ $? -ne 0 ]; then
+        cat $CLIENT_LOG
+        echo -e "\n***\n*** Test Result Verification FAILED.\n***"
+        RET=1
+    fi
+fi
+set -e
+
+kill $SERVER_PID
+wait $SERVER_PID
+
+# disable lora
+export SERVER_ENABLE_LORA=false
+# check bool flag value for `enable_lora`
+model_json=$(cat <<EOF
+{
+    "model":"./weights/backbone/gemma-2b",
+    "disable_log_requests": true,
+    "gpu_memory_utilization": 0.8,
+    "tensor_parallel_size": 2,
+    "block_size": 16,
+    "enforce_eager": true,
+    "enable_lora": false,
+    "lora_extra_vocab_size": 256,
+    "distributed_executor_backend":"ray"
+}
+EOF
+)
+echo "$model_json" > models/vllm_llama_multi_lora/1/model.json
+
+run_server
+if [ "$SERVER_PID" == "0" ]; then
+    cat $SERVER_LOG
+    echo -e "\n***\n*** Failed to start $SERVER\n***"
+    exit 1
+fi
+
+set +e
+python3 $CLIENT_PY -v >> $CLIENT_LOG 2>&1
+
+if [ $? -ne 0 ]; then
+    cat $CLIENT_LOG
+    echo -e "\n***\n*** Running $CLIENT_PY FAILED. \n***"
+    RET=1
+else
+    check_test_results $TEST_RESULT_FILE $EXPECTED_NUM_TESTS
+    if [ $? -ne 0 ]; then
+        cat $CLIENT_LOG
+        echo -e "\n***\n*** Test Result Verification FAILED.\n***"
+        RET=1
+    fi
+fi
+set -e
+
+kill $SERVER_PID
+wait $SERVER_PID
+
 # disable lora
 export SERVER_ENABLE_LORA=false
+# check string flag value for `enable_lora`
 model_json=$(cat <<EOF
 {
     "model":"./weights/backbone/gemma-2b",
-    "disable_log_requests": "true",
+    "disable_log_requests": true,
     "gpu_memory_utilization": 0.8,
     "tensor_parallel_size": 2,
     "block_size": 16,
-    "enforce_eager": "true",
+    "enforce_eager": true,
     "enable_lora": "false",
     "lora_extra_vocab_size": 256,
     "distributed_executor_backend":"ray"
diff --git a/src/model.py b/src/model.py
index e3fc62d7..bdf9c879 100644
--- a/src/model.py
+++ b/src/model.py
@@ -187,9 +187,11 @@ def init_engine(self):
     def setup_lora(self):
         self.enable_lora = False
 
+        # Check if `enable_lora` field is in the `model.json`,
+        # and if it is, read its contents, which can be string or bool.
         if (
             "enable_lora" in self.vllm_engine_config.keys()
-            and self.vllm_engine_config["enable_lora"].lower() == "true"
+            and str(self.vllm_engine_config["enable_lora"]).lower() == "true"
         ):
             # create Triton LoRA weights repository
             multi_lora_args_filepath = os.path.join(