diff --git a/tests/ut/models/test_qwen2_5_vl.py b/tests/ut/models/test_qwen2_5_vl.py
index b4f06803706..4a8bcba580a 100644
--- a/tests/ut/models/test_qwen2_5_vl.py
+++ b/tests/ut/models/test_qwen2_5_vl.py
@@ -8,8 +8,8 @@
 from tests.ut.base import PytestBase
 from vllm_ascend.models.qwen2_5_vl import (
     AscendQwen2_5_VisionAttention, AscendQwen2_5_VisionBlock,
-    AscendQwen2_5_VisionPatchEmbed, AscendQwen2_5_VisionRotaryEmbedding,
-    AscendQwen2_5_VisionTransformer, AscendQwen2_5_VLForConditionalGeneration)
+    AscendQwen2_5_VisionRotaryEmbedding, AscendQwen2_5_VisionTransformer,
+    AscendQwen2_5_VLForConditionalGeneration)
 
 
 class TestAscendQwen2_5_VisionAttention(PytestBase):
@@ -215,15 +215,6 @@ def test_vision_block_forward(self, mocker: MockerFixture):
         assert torch.all(x * 3 == output)
 
 
-class TestAscendQwen2_5_VisionPatchEmbed(PytestBase):
-
-    def test_forward(self):
-        patch_embed = AscendQwen2_5_VisionPatchEmbed()
-
-        ret = patch_embed(torch.rand((120, 1176)))
-        assert ret.shape == (120, 1152)
-
-
 class TestAscendQwen2_5_VisionRotaryEmbedding(PytestBase):
 
     def init_rotary_embedding(
diff --git a/vllm_ascend/models/qwen2_5_vl.py b/vllm_ascend/models/qwen2_5_vl.py
index 6f07afdc61d..321a12a56fd 100644
--- a/vllm_ascend/models/qwen2_5_vl.py
+++ b/vllm_ascend/models/qwen2_5_vl.py
@@ -46,9 +46,6 @@
 from vllm_ascend.utils import (ACL_FORMAT_FRACTAL_ND, is_enable_nz,
                                vllm_version_is)
 
-if not vllm_version_is("0.11.0"):
-    from vllm.model_executor.models.vision import conv3d_to_linear_weight
-
 MIN_PAD_SIZE = 64  # min_size to pad weight
 MAX_PAD_SIZE = 128  # max_size to pad weight
 
@@ -164,14 +161,6 @@ def forward(self, x: torch.Tensor, cu_seqlens: torch.Tensor,
         return x
 
 
-class AscendQwen2_5_VisionPatchEmbed(Qwen2_5_VisionPatchEmbed):
-
-    def forward(self, x: torch.Tensor) -> torch.Tensor:
-        x = x.matmul(
-            self.proj.weight.data.view(self.hidden_size, -1).transpose(0, 1))
-        return x
-
-
 class AscendQwen2_5_VisionRotaryEmbedding(Qwen2_5_VisionRotaryEmbedding):
 
     def __init__(self, dim: int, theta: float = 10000.0) -> None:
@@ -198,7 +187,7 @@ def __init__(
         head_dim = self.hidden_size // self.num_heads
         self.rotary_pos_emb = AscendQwen2_5_VisionRotaryEmbedding(head_dim //
                                                                   2)
-        self.patch_embed = AscendQwen2_5_VisionPatchEmbed(
+        self.patch_embed = Qwen2_5_VisionPatchEmbed(
             patch_size=vision_config.patch_size,
             temporal_patch_size=vision_config.temporal_patch_size,
             in_channels=vision_config.in_channels,
@@ -360,9 +349,6 @@ def load_weights(self, weights: Iterable[Tuple[str,
         params_dict = dict(self.named_parameters(remove_duplicate=False))
         loaded_params: Set[str] = set()
         for name, loaded_weight in weights:
-            if not vllm_version_is("0.11.0"):
-                if name.endswith("patch_embed.proj.weight"):
-                    loaded_weight = conv3d_to_linear_weight(loaded_weight)
             for (param_name, weight_name, shard_id) in stacked_params_mapping:
                 if weight_name not in name:
                     continue