simplification

Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com>

Author: LucasWilkinson

vllm/config.py

@@ -980,18 +980,19 @@ def use_mla(self) -> bool:
         # have fp8 for both weights and activations.
         if self.quantization == "compressed-tensors":
             quant_config = self._parse_quant_hf_config()
-            for group_name, group_cfg in quant_config.get("config_groups",
-                                                          {}).items():
-                input_act_type = group_cfg.get("input_activations", {})\
-                    .get("type", "unknown").lower()
-                weights_type = group_cfg.get("weights", {})\
-                    .get("type", "unknown").lower()
-                if input_act_type != "fp8" or weights_type != "fp8":
+        if self.quantization == "compressed-tensors":
+            quant_config = self._parse_quant_hf_config()
+            for group_name, cfg in quant_config.get("config_groups",
+                                                    {}).items():
+                act_type = cfg.get("input_activations", {}).get("type", "")
+                weight_type = cfg.get("weights", {}).get("type", "")
+                if act_type != "fp8" or weight_type != "fp8":
                     logger.warning(
                         "compressed-tensors MLA support requires fp8 "
                         "activations and weights in group '%s', but got "
-                        "activations type '%s' and weights type '%s'.",
-                        group_name, input_act_type, weights_type)
+                        "activations type '%s' and weights type '%s'.\n "
+                        "Full config: %s", group_name, act_type, weight_type,
+                        quant_config)
                     return False
 
         use_mla = (self.is_deepseek_mla and not envs.VLLM_MLA_DISABLE)