diff --git a/vllm/model_executor/layers/linear.py b/vllm/model_executor/layers/linear.py
index 3ff82c9b256bb..58ef5dd97c149 100644
--- a/vllm/model_executor/layers/linear.py
+++ b/vllm/model_executor/layers/linear.py
@@ -19,6 +19,8 @@
 
 logger = init_logger(__name__)
 
+WEIGHT_LOADER_V2_SUPPORTED = ["CompressedTensorsLinearMethod"]
+
 
 def adjust_marlin_shard(param, shard_size, shard_offset):
     marlin_tile_size = getattr(param, "marlin_tile_size", None)
@@ -287,9 +289,6 @@ def __init__(self,
         if output_sizes is None:
             output_sizes = [output_size]
 
-        from vllm.model_executor.layers.quantization.compressed_tensors.compressed_tensors import (  # noqa: E501; TODO: temporary fix; have to fix circular import
-            CompressedTensorsLinearMethod)
-
         self.quant_method.create_weights(
             layer=self,
             input_size_per_partition=self.input_size,
@@ -297,9 +296,9 @@ def __init__(self,
             input_size=self.input_size,
             output_size=self.output_size,
             params_dtype=self.params_dtype,
-            weight_loader=(self.weight_loader_v2 if isinstance(
-                self.quant_method, CompressedTensorsLinearMethod) else
-                           self.weight_loader),
+            weight_loader=(
+                self.weight_loader_v2 if self.quant_method.__class__.__name__
+                in WEIGHT_LOADER_V2_SUPPORTED else self.weight_loader),
             prefix=prefix)
         if bias:
             self.bias = Parameter(
@@ -868,8 +867,6 @@ def __init__(self,
         self.tp_size = get_tensor_model_parallel_world_size()
         self.input_size_per_partition = divide(input_size, self.tp_size)
         assert self.quant_method is not None
-        from vllm.model_executor.layers.quantization.compressed_tensors.compressed_tensors import (  # noqa: E501; TODO: fix cir import
-            CompressedTensorsLinearMethod)
 
         self.quant_method.create_weights(
             layer=self,
@@ -878,9 +875,9 @@ def __init__(self,
             input_size=self.input_size,
             output_size=self.output_size,
             params_dtype=self.params_dtype,
-            weight_loader=(self.weight_loader_v2 if isinstance(
-                self.quant_method, CompressedTensorsLinearMethod) else
-                           self.weight_loader),
+            weight_loader=(
+                self.weight_loader_v2 if self.quant_method.__class__.__name__
+                in WEIGHT_LOADER_V2_SUPPORTED else self.weight_loader),
             prefix=prefix)
         if not reduce_results and (bias and not skip_bias_add):
             raise ValueError("When not reduce the results, adding bias to the "