diff --git a/modules/sdnq/loader.py b/modules/sdnq/loader.py
index 9af93227f..d808d67ff 100644
--- a/modules/sdnq/loader.py
+++ b/modules/sdnq/loader.py
@@ -130,13 +130,18 @@ def load_sdnq_model(model_path: str, model_cls: ModelMixin = None, file_name: st
 
     state_dict = load_files(files, key_mapping=key_mapping, device=device, method=load_method)
 
-    if model.__class__.__name__ in {"T5EncoderModel", "UMT5EncoderModel"} and "encoder.embed_tokens.weight" not in state_dict.keys():
-        state_dict["encoder.embed_tokens.weight"] = state_dict["shared.weight"]
-
-    # Handle Qwen models with tied lm_head weights
-    if model.__class__.__name__ in {"Qwen3ForCausalLM"} and "lm_head.weight" not in state_dict.keys():
-        if "model.embed_tokens.weight" in state_dict.keys():
-            state_dict["lm_head.weight"] = state_dict["model.embed_tokens.weight"]
+    if isinstance(getattr(model, "_tied_weights_keys", None), dict):
+        for key, value in model._tied_weights_keys.items():
+            print(key, value)
+            if value in state_dict.keys() and key not in state_dict.keys():
+                state_dict[key] = state_dict[value]
+    else:
+        # older transformers case, handle known models manually
+        if model.__class__.__name__ in {"T5EncoderModel", "UMT5EncoderModel"} and "encoder.embed_tokens.weight" not in state_dict.keys():
+            state_dict["encoder.embed_tokens.weight"] = state_dict["shared.weight"]
+        elif model.__class__.__name__ in {"Qwen3ForCausalLM"} and "lm_head.weight" not in state_dict.keys():
+            if "model.embed_tokens.weight" in state_dict.keys():
+                state_dict["lm_head.weight"] = state_dict["model.embed_tokens.weight"]
 
     model.load_state_dict(state_dict, assign=True)
     del state_dict