diff --git a/vllm/model_executor/models/gpt_oss.py b/vllm/model_executor/models/gpt_oss.py
index 291ac833f26a..9cb481fc30c7 100644
--- a/vllm/model_executor/models/gpt_oss.py
+++ b/vllm/model_executor/models/gpt_oss.py
@@ -92,7 +92,7 @@ class OAIAttention(nn.Module):
         self.scaling = self.head_dim**-0.5
         self.rope_theta = config.rope_theta
 
-        self.qkv = QKVParallelLinear(
+        self.qkv_proj = QKVParallelLinear(
             hidden_size=self.hidden_size,
             head_size=self.head_dim,
             total_num_heads=self.num_attention_heads,
@@ -129,7 +129,7 @@ class OAIAttention(nn.Module):
     def forward(
         self, hidden_states: torch.Tensor, positions: torch.Tensor
     ) -> torch.Tensor:
-        qkv, _ = self.qkv(hidden_states)
+        qkv, _ = self.qkv_proj(hidden_states)
         q, k, v = qkv.split([self.q_size, self.kv_size, self.kv_size], dim=-1)
         q, k = self.rotary_emb(positions, q, k)
         v = v.contiguous()
@@ -606,9 +606,9 @@ class GptOssModel(nn.Module):
     def load_weights(self, weights: Iterable[tuple[str, torch.Tensor]]) -> set[str]:
         stacked_params_mapping = [
             # (param_name, shard_name, shard_id)
-            (".qkv", ".q_proj", "q"),
-            (".qkv", ".k_proj", "k"),
-            (".qkv", ".v_proj", "v"),
+            (".qkv_proj", ".q_proj", "q"),
+            (".qkv_proj", ".k_proj", "k"),
+            (".qkv_proj", ".v_proj", "v"),
         ]
 
         tp_rank = get_tensor_model_parallel_rank()