diff --git a/swift/llm/model/model/qwen.py b/swift/llm/model/model/qwen.py
index f02f38aaf9..c717346aa9 100644
--- a/swift/llm/model/model/qwen.py
+++ b/swift/llm/model/model/qwen.py
@@ -582,9 +582,13 @@ def get_model_tokenizer_qwen2_vl(*args, **kwargs):
     from transformers import Qwen2VLForConditionalGeneration
     kwargs['automodel_class'] = kwargs['automodel_class'] or Qwen2VLForConditionalGeneration
     model, tokenizer = get_model_tokenizer_multimodal(*args, **kwargs)
-    if model is not None and hasattr(model.model, 'embed_tokens'):
-        patch_output_clone(model.model.embed_tokens)
-        patch_output_to_input_device(model.model.embed_tokens)
+    if model is not None:
+        if hasattr(model.model, 'embed_tokens'):
+            embed_tokens = model.model.embed_tokens
+        else:
+            embed_tokens = model.model.language_model.embed_tokens
+        patch_output_clone(embed_tokens)
+        patch_output_to_input_device(embed_tokens)
 
     from qwen_vl_utils import vision_process
     patch_qwen_vl_utils(vision_process)
diff --git a/swift/megatron/init.py b/swift/megatron/init.py
index 72380c414a..ef1486d5dd 100644
--- a/swift/megatron/init.py
+++ b/swift/megatron/init.py
@@ -10,13 +10,22 @@
 
 
 def _patch_transformer_engine():
+    import transformer_engine
     try:
-        from transformer_engine.pytorch.attention import FusedRoPEFunc
+        from transformer_engine.pytorch.attention import apply_rotary_pos_emb
     except ImportError:
         try:
-            import transformer_engine
-            transformer_engine.pytorch.attention.FusedRoPEFunc = (
-                transformer_engine.pytorch.dot_product_attention.rope.FusedRoPEFunc)
+            transformer_engine.pytorch.attention.apply_rotary_pos_emb = (
+                transformer_engine.pytorch.attention.rope.apply_rotary_pos_emb)
+            logger.info('Patch apply_rotary_pos_emb successfully applied.')
+        except (ImportError, AttributeError):
+            pass
+    try:
+        from transformer_engine.pytorch.attention import _SplitAlongDim
+    except ImportError:
+        try:
+            transformer_engine.pytorch.attention._SplitAlongDim = (transformer_engine.pytorch.utils.SplitAlongDim)
+            logger.info('Patch _SplitAlongDim successfully applied.')
         except (ImportError, AttributeError):
             pass
 
diff --git a/swift/trainers/rlhf_trainer/rlhf_mixin.py b/swift/trainers/rlhf_trainer/rlhf_mixin.py
index 103c149cc2..8380553600 100644
--- a/swift/trainers/rlhf_trainer/rlhf_mixin.py
+++ b/swift/trainers/rlhf_trainer/rlhf_mixin.py
@@ -52,8 +52,9 @@ def __init__(self,
 
     def get_train_dataloader(self):
         train_dataloader = super().get_train_dataloader()
-        base_dataloader = train_dataloader if isinstance(train_dataloader,
-                                                         DataLoader) else train_dataloader.base_dataloader
+        base_dataloader = train_dataloader.base_dataloader if hasattr(
+            train_dataloader, 'base_dataloader') and isinstance(train_dataloader.base_dataloader,
+                                                                DataLoader) else train_dataloader
         if base_dataloader.worker_init_fn is not None and not isinstance(
                 base_dataloader.worker_init_fn, partial) and 'num_workers' in inspect.signature(
                     base_dataloader.worker_init_fn).parameters: