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[Bugfix] Fix Qwen3-VL-MoE weight loading for EP #25300

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Merged
merged 2 commits into from
Sep 20, 2025
+7 −5
Merged

[Bugfix] Fix Qwen3-VL-MoE weight loading for EP #25300

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325d4ac
fix
ywang96 Sep 20, 2025
09ad6eb
Merge branch 'main' into fix-qwen3-vl-ep
ywang96 Sep 20, 2025
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12 changes: 7 additions & 5 deletions vllm/model_executor/models/qwen3_vl_moe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -122,9 +122,10 @@ def forward(

def load_fused_expert_weights(self, name: str, params_dict: dict,
loaded_weight: torch.Tensor, shard_id: str,
num_experts: int):
num_experts: int) -> bool:
param = params_dict[name]
weight_loader = typing.cast(Callable[..., bool], param.weight_loader)
loaded_local_expert = False
for expert_id in range(num_experts):
curr_expert_weight = loaded_weight[expert_id]
success = weight_loader(param,
Expand All @@ -133,9 +134,10 @@ def load_fused_expert_weights(self, name: str, params_dict: dict,
shard_id,
expert_id,
return_success=True)
if not success:
return False
return True
if success:
loaded_local_expert = True

return loaded_local_expert

def load_weights(self, weights: Iterable[tuple[str,
torch.Tensor]]) -> set[str]:
Expand Down Expand Up @@ -345,4 +347,4 @@ def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
for _ in range(self.deepstack_num_level)
] if self.use_deepstack else None
self.visual_dim = config.vision_config.out_hidden_size
self.multiscale_dim = self.visual_dim * self.deepstack_num_level
self.multiscale_dim = self.visual_dim * self.deepstack_num_level