Nvidia ModelOpt workaround for issue 28072 (#30164)

Signed-off-by: Shengliang Xu <shengliangx@nvidia.com>
Co-authored-by: Pavani Majety <pmajety@nvidia.com>

vllm/model_executor/layers/quantization/modelopt.py

@@ -188,7 +188,24 @@ class ModelOptQuantConfigBase(QuantizationConfig):
 
     def apply_vllm_mapper(self, hf_to_vllm_mapper: "WeightsMapper"):
         if len(self.exclude_modules) > 0:
-            self.exclude_modules = hf_to_vllm_mapper.apply_list(self.exclude_modules)
+            # This is a workaround for the weights remapping issue:
+            # https://github.com/vllm-project/vllm/issues/28072
+            # Right now, the Nvidia ModelOpt library use just one wildcard pattern:
+            #        module_path*
+            # It gets applied if the whole tree of modules rooted at module_path
+            # is not quantized. Here we replace such pattern by 2 patterns that are
+            # collectively equivalent to the original pattern:
+            #        module_path
+            #        module_path.*
+            new_exclude_modules = []
+            for exclude in self.exclude_modules:
+                if len(exclude) >= 2 and exclude[-1] == "*" and exclude[-2] != ".":
+                    new_exclude_modules.append(exclude[:-1])
+                    new_exclude_modules.append(exclude[:-1] + ".*")
+                else:
+                    new_exclude_modules.append(exclude)
+
+            self.exclude_modules = hf_to_vllm_mapper.apply_list(new_exclude_modules)
 
     @staticmethod
     def get_config_filenames() -> list[str]: