[Misc] Add compressed-tensors to optimized quant list (#7006)

vllm/config.py

@@ -197,13 +197,17 @@ class ModelConfig:
     def _parse_quant_hf_config(self):
         quant_cfg = getattr(self.hf_config, "quantization_config", None)
         if quant_cfg is None:
-            # compress-tensors uses a "compression_config" key
+            # compressed-tensors uses a "compression_config" key
             quant_cfg = getattr(self.hf_config, "compression_config", None)
         return quant_cfg
 
     def _verify_quantization(self) -> None:
         supported_quantization = [*QUANTIZATION_METHODS]
         rocm_supported_quantization = ["gptq", "squeezellm"]
+        optimized_quantization_methods = [
+            "fp8", "marlin", "gptq_marlin_24", "gptq_marlin", "awq_marlin",
+            "fbgemm_fp8", "compressed_tensors", "compressed-tensors"
+        ]
         if self.quantization is not None:
             self.quantization = self.quantization.lower()
 
@@ -242,9 +246,7 @@ class ModelConfig:
                 raise ValueError(
                     f"{self.quantization} quantization is currently not "
                     f"supported in ROCm.")
-            if (self.quantization
-                    not in ("fp8", "marlin", "gptq_marlin_24", "gptq_marlin",
-                            "awq_marlin", "fbgemm_fp8", "compressed_tensors")):
+            if self.quantization not in optimized_quantization_methods:
                 logger.warning(
                     "%s quantization is not fully "
                     "optimized yet. The speed can be slower than "