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[Bug Fix] Fix Glm4vVisionBlock norm (#9884)

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This commit is contained in:
Adam Yanxiao Zhao
2025-09-06 05:20:36 +08:00
committed by GitHub
parent 2985090084
commit 0f6ac5e21d
2 changed files with 4 additions and 4 deletions
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3
python/sglang/srt/models/glm4v.py
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@@ -93,9 +93,8 @@ class Glm4vVisionBlock(Qwen2_5_VisionBlock):
quant_config=quant_config,
prefix=prefix,
num_dummy_heads=config.num_dummy_heads,
rms_norm_eps=config.rms_norm_eps,
)
self.norm1 = Glm4vRMSNorm(config.hidden_size, eps=config.rms_norm_eps)
self.norm2 = Glm4vRMSNorm(config.hidden_size, eps=config.rms_norm_eps)
self.mlp = Glm4vVisionMLP(
config.hidden_size,

5
python/sglang/srt/models/qwen2_5_vl.py
View File

@@ -113,12 +113,13 @@ class Qwen2_5_VisionBlock(nn.Module):
quant_config: Optional[QuantizationConfig] = None,
prefix: str = "",
num_dummy_heads: int = 0,
rms_norm_eps: float = 1e-6,
) -> None:
super().__init__()
if norm_layer is None:
norm_layer = partial(nn.LayerNorm, eps=1e-6)
self.norm1 = RMSNorm(dim, eps=1e-6)
self.norm2 = RMSNorm(dim, eps=1e-6)
self.norm1 = RMSNorm(dim, eps=rms_norm_eps)
self.norm2 = RMSNorm(dim, eps=rms_norm_eps)
if attn_implementation is None:
softmax_in_single_precision = False