diff --git a/python/sglang/srt/models/llava.py b/python/sglang/srt/models/llava.py
index fad0e68b8..258cc8c2f 100644
--- a/python/sglang/srt/models/llava.py
+++ b/python/sglang/srt/models/llava.py
@@ -323,36 +323,6 @@ class LlavaQwenForCausalLM(LlavaLlamaForCausalLM):
                 torch.empty(config.text_config.hidden_size, dtype=torch.float16)
             )
 
-    def pad_input_ids(self, input_ids, pad_value, pt_shape=None, image_size=None):
-        new_image_feature_len = self.image_feature_len
-        # now only support spatial_unpad + anyres
-        if self.mm_patch_merge_type.startswith("spatial"):
-            height = width = self.num_patches_per_side
-            if pt_shape[0] > 1:
-                if self.image_aspect_ratio == "anyres":
-                    num_patch_width, num_patch_height = get_anyres_image_grid_shape(
-                        image_size,
-                        self.image_grid_pinpoints,
-                        self.vision_tower.config.image_size,
-                    )
-                if "unpad" in self.mm_patch_merge_type:
-                    h = num_patch_height * height
-                    w = num_patch_width * width
-                    new_h, new_w = unpad_image_shape(h, w, image_size)
-                    new_image_feature_len += new_h * (new_w + 1)
-
-        pad_ids = pad_value * (
-            (new_image_feature_len + len(pad_value)) // len(pad_value)
-        )
-        offset = input_ids.index(self.config.image_token_index)
-        # old_len + pad_len - 1, because we need to remove image_token_id
-        new_input_ids = (
-            input_ids[:offset]
-            + pad_ids[:new_image_feature_len]
-            + input_ids[offset + 1 :]
-        )
-        return new_input_ids, offset
-
 
 class LlavaMistralForCausalLM(LlavaLlamaForCausalLM):
     def __init__(