diff --git a/vllm/model_executor/layers/mamba/linear_attn.py b/vllm/model_executor/layers/mamba/linear_attn.py
index d93cef1a27ad..5fe37a6289e0 100644
--- a/vllm/model_executor/layers/mamba/linear_attn.py
+++ b/vllm/model_executor/layers/mamba/linear_attn.py
@@ -83,17 +83,7 @@ class MiniMaxText01RMSNormTP(CustomOp):
             variance = tensor_model_parallel_all_reduce(
                 variance) / self.tp_world
         x = x * torch.rsqrt(variance + self.variance_epsilon)
-
-        weight = self.weight
-        if x.size(-1) != self.weight.size(0):
-            if self.weight.size(0) < x.size(-1):
-                repeat_count = (x.size(-1) + self.weight.size(0)) // x.size(-1)
-                full_weight = self.weight.repeat(repeat_count)
-                weight = full_weight[:x.size(-1)]
-            else:
-                weight = self.weight[:x.size(-1)]
-
-        x = x.to(orig_dtype) * weight
+        x = x.to(orig_dtype) * self.weight
         return x
 
     def forward(