diff --git a/vllm/model_executor/layers/quantization/bitnet_bitblas.py b/vllm/model_executor/layers/quantization/bitnet_bitblas.py
index 04625a536df8..597eac3eef54 100644
--- a/vllm/model_executor/layers/quantization/bitnet_bitblas.py
+++ b/vllm/model_executor/layers/quantization/bitnet_bitblas.py
@@ -2,7 +2,6 @@
 from enum import Enum
 from typing import Any, Dict, List, Optional
 
-import bitblas.cache
 import torch
 from torch.nn.parameter import Parameter
 
@@ -16,20 +15,6 @@
 
 logger = init_logger(__name__)
 
-try:
-    import bitblas
-    from bitblas.utils import auto_detect_nvidia_target
-except ImportError as e:
-    bitblas_import_exception = e
-    error_message = (
-        "Trying to use the bitblas backend, but could not import dependencies "
-        f"with the following error: {bitblas_import_exception}")
-    raise ValueError(error_message) from bitblas_import_exception
-
-bitblas.set_log_level("Debug")
-BITBLAS_TARGET = auto_detect_nvidia_target()
-BITBLAS_DATABASE_PATH = bitblas.cache.get_database_path()
-
 BITNET_BITBLAS_SUPPORTED_NUM_BITS = [1, 2, 4, 8]
 
 
@@ -285,7 +270,11 @@ def _configure_bitblas_matmul(
 
     def _get_or_create_bitblas_operator(self, config, enable_tuning):
         from bitblas import Matmul
-        from bitblas.cache import global_operator_cache
+        from bitblas.cache import get_database_path, global_operator_cache
+        from bitblas.utils import auto_detect_nvidia_target
+
+        BITBLAS_DATABASE_PATH = get_database_path()
+        BITBLAS_TARGET = auto_detect_nvidia_target()
 
         if global_operator_cache.size() == 0:
             global_operator_cache.load_from_database(BITBLAS_DATABASE_PATH,
diff --git a/vllm/model_executor/layers/quantization/gptq_bitblas.py b/vllm/model_executor/layers/quantization/gptq_bitblas.py
index 0dfd9d638944..22c6f2062e92 100644
--- a/vllm/model_executor/layers/quantization/gptq_bitblas.py
+++ b/vllm/model_executor/layers/quantization/gptq_bitblas.py
@@ -2,7 +2,6 @@
 from enum import Enum
 from typing import Any, Dict, List, Optional
 
-import bitblas.cache
 import torch
 from torch.nn.parameter import Parameter
 
@@ -14,20 +13,6 @@
 
 logger = init_logger(__name__)
 
-try:
-    import bitblas
-    from bitblas.utils import auto_detect_nvidia_target
-except ImportError as e:
-    bitblas_import_exception = e
-    raise ValueError(
-        "Trying to use the bitblas backend, but could not import dependencies"
-        f"with the following error: {bitblas_import_exception}"
-    ) from bitblas_import_exception
-
-bitblas.set_log_level("Debug")
-BITBLAS_TARGET = auto_detect_nvidia_target()
-BITBLAS_DATABASE_PATH = bitblas.cache.get_database_path()
-
 GPTQ_BITBLAS_SUPPORTED_NUM_BITS = [1, 2, 4, 8]
 GPTQ_BITBLAS_SUPPORTED_SYM = [False, True]
 
@@ -415,8 +400,10 @@ def _configure_bitblas_matmul(
             matmul_config, enable_tuning)
 
     def _get_or_create_bitblas_operator(self, config, enable_tuning):
-        from bitblas import Matmul
-        from bitblas.cache import global_operator_cache
+        from bitblas import Matmul, auto_detect_nvidia_target
+        from bitblas.cache import get_database_path, global_operator_cache
+        BITBLAS_DATABASE_PATH = get_database_path()
+        BITBLAS_TARGET = auto_detect_nvidia_target()
 
         if global_operator_cache.size() == 0:
             global_operator_cache.load_from_database(BITBLAS_DATABASE_PATH,