diff --git a/python/sglang/srt/models/deepseek_v2.py b/python/sglang/srt/models/deepseek_v2.py
index 624b7112f..988ed91e8 100644
--- a/python/sglang/srt/models/deepseek_v2.py
+++ b/python/sglang/srt/models/deepseek_v2.py
@@ -2844,7 +2844,7 @@ class DeepseekV2ForCausalLM(nn.Module, DeepseekV2WeightLoaderMixin):
             or self.config.n_routed_experts != 256
             or self.config.n_shared_experts != 1
         ):
-            disable_reason = "Config not support fused shared expert(s)."
+            disable_reason = "Config does not support fused shared expert(s)."
         elif (not _is_cuda or torch.cuda.get_device_capability("cuda") < (8, 0)) and (
             not _is_hip or torch.cuda.get_device_capability("cuda") < (9, 4)
         ):
@@ -2859,7 +2859,7 @@ class DeepseekV2ForCausalLM(nn.Module, DeepseekV2WeightLoaderMixin):
         elif disable_reason is None and (
             get_moe_a2a_backend().is_deepep() or get_moe_a2a_backend().is_mori()
         ):
-            disable_reason = "Deepseek V3/R1 can not use shared experts fusion optimization under deepep expert parallelism."
+            disable_reason = "Deepseek V3/R1 cannot use shared experts fusion optimization under deepep expert parallelism."
         elif self.quant_config and self.quant_config.get_name() == "w4afp8":
             disable_reason = "Deepseek V3/R1 W4AFP8 model uses different quant method for routed experts and shared experts."
 
diff --git a/python/sglang/srt/models/glm4_moe_lite.py b/python/sglang/srt/models/glm4_moe_lite.py
index e8e0d054b..ffd9acc4e 100644
--- a/python/sglang/srt/models/glm4_moe_lite.py
+++ b/python/sglang/srt/models/glm4_moe_lite.py
@@ -531,7 +531,7 @@ class Glm4MoeLiteForCausalLM(DeepseekV2ForCausalLM):
         ):
             disable_reason = "Only GLM-4.5 or GLM-4.6 on NV-platform with capability >= 80 can use shared experts fusion optimization."
         elif get_moe_expert_parallel_world_size() > 1:
-            disable_reason = "GLM-4.5 or GLM-4.6 can not use shared experts fusion optimization under expert parallelism."
+            disable_reason = "GLM-4.5 or GLM-4.6 cannot use shared experts fusion optimization under expert parallelism."
 
         if disable_reason is not None:
             get_global_server_args().disable_shared_experts_fusion = True