diff --git a/vllm/lora/models.py b/vllm/lora/models.py
index 97739d96bea32..27a85a3ca2297 100644
--- a/vllm/lora/models.py
+++ b/vllm/lora/models.py
@@ -13,7 +13,12 @@ from torch import nn
 
 from vllm.config.lora import LoRAConfig, ModelConfig
 from vllm.logger import init_logger
-from vllm.lora.layers import BaseLayerWithLoRA, LoRAMapping, LoRAMappingType
+from vllm.lora.layers import (
+    BaseLayerWithLoRA,
+    FusedMoEWithLoRA,
+    LoRAMapping,
+    LoRAMappingType,
+)
 from vllm.lora.lora_weights import LoRALayerWeights, PackedLoRALayerWeights
 from vllm.lora.peft_helper import PEFTHelper
 from vllm.lora.punica_wrapper import PunicaWrapperBase, get_punica_wrapper
@@ -25,7 +30,6 @@ from vllm.lora.utils import (
     is_moe_model,
     is_regex_target_modules,
     parse_fine_tuned_lora_name,
-    process_packed_modules_mapping,
     replace_submodule,
 )
 from vllm.model_executor.layers.fused_moe import FusedMoE
@@ -36,7 +40,6 @@ from vllm.model_executor.models.module_mapping import MultiModelKeys
 from vllm.model_executor.models.utils import PPMissingLayer, WeightsMapper
 from vllm.model_executor.utils import get_packed_modules_mapping
 from vllm.multimodal import MULTIMODAL_REGISTRY
-from vllm.utils import is_pin_memory_available
 from vllm.utils.cache import LRUCache
 from vllm.utils.platform_utils import is_pin_memory_available
 
diff --git a/vllm/v1/worker/lora_model_runner_mixin.py b/vllm/v1/worker/lora_model_runner_mixin.py
index 2e40de8491217..ed6b5525fa1a7 100644
--- a/vllm/v1/worker/lora_model_runner_mixin.py
+++ b/vllm/v1/worker/lora_model_runner_mixin.py
@@ -175,10 +175,10 @@ class LoRAModelRunnerMixin:
             }
 
             self._set_active_loras(
-                tuple(sample_lora_mapping), 
-                tuple(token_lora_mapping), 
-                lora_requests, 
-                mapping_type
+                tuple(sample_lora_mapping),
+                tuple(token_lora_mapping),
+                lora_requests,
+                mapping_type,
             )
 
             yield
@@ -196,7 +196,11 @@ class LoRAModelRunnerMixin:
         with (
             self.maybe_setup_dummy_loras(lora_config, remove_lora),
             self.maybe_select_dummy_loras(
-                lora_config, num_scheduled_tokens, mapping_type, num_sampled_tokens, activate_lora
+                lora_config,
+                num_scheduled_tokens,
+                mapping_type,
+                num_sampled_tokens,
+                activate_lora,
             ),
         ):
             yield