diff --git a/model_analyzer/config/generate/brute_run_config_generator.py b/model_analyzer/config/generate/brute_run_config_generator.py
index de97655dd..d226811aa 100755
--- a/model_analyzer/config/generate/brute_run_config_generator.py
+++ b/model_analyzer/config/generate/brute_run_config_generator.py
@@ -101,7 +101,8 @@ def get_configs(self) -> Generator[RunConfig, None, None]:
     def _get_next_config(self) -> Generator[RunConfig, None, None]:
         if not self._skip_default_config:
             yield from self._generate_subset(0, default_only=True)
-            yield from self._generate_subset(0, default_only=False)
+
+        yield from self._generate_subset(0, default_only=False)
 
     def _generate_subset(
         self, index: int, default_only: bool
diff --git a/model_analyzer/config/generate/manual_model_config_generator.py b/model_analyzer/config/generate/manual_model_config_generator.py
index 6d4abc631..a95ae27ab 100755
--- a/model_analyzer/config/generate/manual_model_config_generator.py
+++ b/model_analyzer/config/generate/manual_model_config_generator.py
@@ -130,14 +130,7 @@ def _get_next_model_config_variant(self) -> ModelConfigVariant:
 
     def _generate_model_config_variants(self) -> List[List[ModelConfigVariant]]:
         """Generate all model config combinations"""
-        configs = self._generate_all_modes_model_config_variants()
 
-        return configs
-
-    def _generate_all_modes_model_config_variants(
-        self,
-    ) -> List[List[ModelConfigVariant]]:
-        """Generate model configs for all modes"""
         model_config_variants = []
         for param_combo in self._non_max_batch_size_param_combos:
             configs_with_max_batch_size = []
diff --git a/qa/L0_config_search/test.sh b/qa/L0_config_search/test.sh
index 347f31efd..a029d3682 100755
--- a/qa/L0_config_search/test.sh
+++ b/qa/L0_config_search/test.sh
@@ -70,9 +70,6 @@ for launch_mode in $TRITON_LAUNCH_MODES; do
         MODEL_ANALYZER_ARGS="$MODEL_ANALYZER_ARGS $MODEL_ANALYZER_PORTS"
 
         if [ $launch_mode == 'remote' ]; then
-            NUM_ROW_OUTPUT_FILE=`echo $config | sed 's/\.yml//'`-param-$launch_mode.txt
-            NUM_MODELS_OUTPUT_FILE=`echo $config | sed 's/\.yml//'`-models-$launch_mode.txt
-
             # For remote launch, set server args and start server
             SERVER=`which tritonserver`
             SERVER_ARGS="--model-repository=$MODEL_REPOSITORY --model-control-mode=explicit --http-port $http_port --grpc-port $grpc_port --metrics-port $metrics_port"
diff --git a/qa/L0_config_search/test_config_generator.py b/qa/L0_config_search/test_config_generator.py
index 6fa72f912..79145d56c 100755
--- a/qa/L0_config_search/test_config_generator.py
+++ b/qa/L0_config_search/test_config_generator.py
@@ -70,7 +70,7 @@ def generate_search_disable(self):
         total_param_count = self._calculate_total_params(
             concurrency_count, instance_count
         )
-        self._write_file(total_param_count, total_param_count, 2, 2, model_config)
+        self._write_file(total_param_count, 2, model_config)
 
     def generate_max_limit_with_model_config(self):
         concurrency_count = 2
@@ -91,7 +91,7 @@ def generate_max_limit_with_model_config(self):
         total_param_count = self._calculate_total_params(
             concurrency_count, instance_count
         )
-        self._write_file(total_param_count, total_param_count, 2, 2, model_config)
+        self._write_file(total_param_count, 2, model_config)
 
     def generate_max_limit(self):
         concurrency_count = 2
@@ -105,7 +105,7 @@ def generate_max_limit(self):
         total_param_count = self._calculate_total_params(
             concurrency_count, instance_count
         )
-        self._write_file(total_param_count, total_param_count, 8, 8, model_config)
+        self._write_file(total_param_count, 8, model_config)
 
     def generate_max_limit_with_param(self):
         concurrency_count = 1  # 1 because concurrency parameter is 1 entry below
@@ -124,7 +124,7 @@ def generate_max_limit_with_param(self):
         total_param_count = self._calculate_total_params(
             concurrency_count, instance_count
         )
-        self._write_file(total_param_count, total_param_count, 6, 6, model_config)
+        self._write_file(total_param_count, 6, model_config)
 
     def generate_max_limit_with_param_and_model_config(self):
         concurrency_count = 1  # 1 because concurrency parameter is 1 entry below
@@ -146,7 +146,7 @@ def generate_max_limit_with_param_and_model_config(self):
         total_param_count = self._calculate_total_params(
             concurrency_count, instance_count
         )
-        self._write_file(total_param_count, total_param_count, 2, 2, model_config)
+        self._write_file(total_param_count, 2, model_config)
 
     def generate_max_limit_with_dynamic_batch_disable(self):
         concurrency_count = 2
@@ -160,7 +160,7 @@ def generate_max_limit_with_dynamic_batch_disable(self):
         total_param_count = self._calculate_total_params(
             concurrency_count, instance_count
         )
-        self._write_file(total_param_count, total_param_count, 4, 4, model_config)
+        self._write_file(total_param_count, 4, model_config)
 
     def _calculate_total_params(
         self, concurrency_count, instance_count, default_config_count=1
@@ -178,19 +178,13 @@ def _calculate_total_params(
     def _write_file(
         self,
         total_param,
-        total_param_remote,
         total_models,
-        total_models_remote,
         model_config,
     ):
         with open(f"./config-{self.test_id}-param.txt", "w") as file:
             file.write(str(total_param))
-        with open(f"./config-{self.test_id}-param-remote.txt", "w") as file:
-            file.write(str(total_param_remote))
         with open(f"./config-{self.test_id}-models.txt", "w") as file:
             file.write(str(total_models))
-        with open(f"./config-{self.test_id}-models-remote.txt", "w") as file:
-            file.write(str(total_models_remote))
         with open(f"./config-{self.test_id}.yml", "w") as file:
             yaml.dump(model_config, file)