fixed classmethod

tests/models/test_compressed_tensors.py

@@ -7,6 +7,8 @@
 
 import pytest
 
+from tests.quantization.utils import is_quant_method_supported
+
 from .utils import check_logprobs_close
 
 MODELS = [
@@ -17,6 +19,8 @@
 NUM_LOGPROBS = 5
 
 
+@pytest.mark.skipif(not is_quant_method_supported("compressed-tensors"),
+                    reason="compressed-tensors is not supported on this machine type.")
 @pytest.mark.parametrize("model_name", MODELS)
 def test_models(
     vllm_runner,

vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py

@@ -33,7 +33,8 @@ def get_supported_act_dtypes(cls) -> List[torch.dtype]:
         return [torch.float16, torch.bfloat16]
 
     # Need to figure it out
-    def get_min_capability(self) -> int:
+    @classmethod
+    def get_min_capability(cls) -> int:
         return 60
 
     def get_name(self) -> str: