[Glm46v] Bug fix for accuracy drop and unable to launch server (#14585)

Co-authored-by: yhyang201 <yhyang201@gmail.com>
Co-authored-by: zRzRzRzRzRzRzR <2448370773@qq.com>
Co-authored-by: Minglei Zhu <mingleizhu1122@gmail.com>

python/sglang/srt/configs/qwen3_omni.py

@@ -1,6 +1,5 @@
 from transformers import PretrainedConfig
 from transformers.configuration_utils import layer_type_validation
-from transformers.modeling_rope_utils import rope_config_validation
 
 from sglang.utils import logger
 
@@ -168,7 +167,6 @@ class Qwen3OmniMoeTextConfig(PretrainedConfig):
         # BC: if there is a 'type' field, move it to 'rope_type'.
         if self.rope_scaling is not None and "type" in self.rope_scaling:
             self.rope_scaling["rope_type"] = self.rope_scaling["type"]
-        rope_config_validation(self)
 
         # MoE arguments
         self.decoder_sparse_step = decoder_sparse_step
@@ -311,7 +309,6 @@ class Qwen3OmniMoeTalkerCodePredictorConfig(PretrainedConfig):
         # BC: if there is a 'type' field, move it to 'rope_type'.
         if self.rope_scaling is not None and "type" in self.rope_scaling:
             self.rope_scaling["rope_type"] = self.rope_scaling["type"]
-        rope_config_validation(self)
 
         self.layer_types = layer_types
         if self.layer_types is None:
@@ -405,7 +402,6 @@ class Qwen3OmniMoeTalkerTextConfig(PretrainedConfig):
         # BC: if there is a 'type' field, move it to 'rope_type'.
         if self.rope_scaling is not None and "type" in self.rope_scaling:
             self.rope_scaling["rope_type"] = self.rope_scaling["type"]
-        rope_config_validation(self)
 
         # MoE arguments
         self.decoder_sparse_step = decoder_sparse_step

python/sglang/srt/configs/qwen3_vl.py

@@ -1,5 +1,4 @@
 from transformers import PretrainedConfig
-from transformers.modeling_rope_utils import rope_config_validation
 
 
 class Qwen3VLVisionConfig(PretrainedConfig):
@@ -187,8 +186,6 @@ class Qwen3VLTextConfig(PretrainedConfig):
         self.attention_bias = attention_bias
         self.attention_dropout = attention_dropout
 
-        rope_config_validation(self, ignore_keys={"mrope_section", "mrope_interleaved"})
-
         super().__init__(tie_word_embeddings=tie_word_embeddings, **kwargs)
 
 
@@ -450,8 +447,6 @@ class Qwen3VLMoeTextConfig(PretrainedConfig):
         self.rope_scaling = rope_scaling
         self.head_dim = head_dim or hidden_size // num_attention_heads
 
-        rope_config_validation(self, ignore_keys={"mrope_section", "mrope_interleaved"})
-
         # MoE arguments
         self.decoder_sparse_step = decoder_sparse_step
         self.moe_intermediate_size = moe_intermediate_size