diff --git a/python/sglang/srt/layers/quantization/compressed_tensors/schemes/compressed_tensors_w4a4_mxint4_moe.py b/python/sglang/srt/layers/quantization/compressed_tensors/schemes/compressed_tensors_w4a4_mxint4_moe.py
index 8419efcb8..865f3de43 100644
--- a/python/sglang/srt/layers/quantization/compressed_tensors/schemes/compressed_tensors_w4a4_mxint4_moe.py
+++ b/python/sglang/srt/layers/quantization/compressed_tensors/schemes/compressed_tensors_w4a4_mxint4_moe.py
@@ -287,7 +287,7 @@ class CompressedTensorsMxInt4MoE(CompressedTensorsMoEScheme):
     ):
         self.moe_runner_config = moe_runner_config
 
-    def apply(
+    def apply_weights(
         self,
         layer: torch.nn.Module,
         dispatch_output: StandardDispatchOutput,
diff --git a/test/registered/8-gpu-models/test_deepseek_v32.py b/test/registered/8-gpu-models/test_deepseek_v32.py
index 154fea493..5a6525d20 100644
--- a/test/registered/8-gpu-models/test_deepseek_v32.py
+++ b/test/registered/8-gpu-models/test_deepseek_v32.py
@@ -30,7 +30,7 @@ DP_ARGS = [
 
 # Accuracy thresholds
 GSM8K_BASELINE = 0.935
-GPQA_BASELINE = 0.835
+GPQA_BASELINE = 0.83
 
 
 class TestDeepseekV32(unittest.TestCase):