diff --git a/python/sglang/srt/layers/moe/fused_moe_triton/layer.py b/python/sglang/srt/layers/moe/fused_moe_triton/layer.py
index 61b919270..da7157c8a 100644
--- a/python/sglang/srt/layers/moe/fused_moe_triton/layer.py
+++ b/python/sglang/srt/layers/moe/fused_moe_triton/layer.py
@@ -292,6 +292,7 @@ class FusedMoE(torch.nn.Module):
                 else self.weight_loader_fused
             ),
             with_bias=with_bias,
+            moe_intermediate_size=intermediate_size,
         )
 
         self.quant_method.create_moe_runner(self, self.moe_runner_config)
diff --git a/python/sglang/srt/layers/quantization/compressed_tensors/schemes/compressed_tensors_wNa16_moe.py b/python/sglang/srt/layers/quantization/compressed_tensors/schemes/compressed_tensors_wNa16_moe.py
index 6264f36d0..7a8fb6542 100644
--- a/python/sglang/srt/layers/quantization/compressed_tensors/schemes/compressed_tensors_wNa16_moe.py
+++ b/python/sglang/srt/layers/quantization/compressed_tensors/schemes/compressed_tensors_wNa16_moe.py
@@ -503,7 +503,7 @@ class NPUCompressedTensorsW4A16Int4DynamicMoE(CompressedTensorsMoEScheme):
         self.num_experts = num_experts
         if (
             extra_weight_attrs.get(
-                "intermediate_size_full", intermediate_size_per_partition
+                "moe_intermediate_size", intermediate_size_per_partition
             )
             // intermediate_size_per_partition
             > 1