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[Bugfix][DeepseekV4] Gate expert weight load on success #43442

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[Bugfix][DeepseekV4] Gate expert weight load on success #43442

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9 changes: 9 additions & 0 deletions vllm/models/deepseek_v4/nvidia/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1431,6 +1431,8 @@ def load_weights(self, weights: Iterable[tuple[str, torch.Tensor]]) -> set[str]:
and loaded_weight.dtype == torch.float8_e8m0fnu
):
loaded_weight = loaded_weight.view(torch.uint8)
name_mapped = None
success = False
for mapping in expert_mapping:
param_name, weight_name, expert_id, expert_shard_id = mapping
if weight_name not in name:
Expand All @@ -1456,6 +1458,13 @@ def load_weights(self, weights: Iterable[tuple[str, torch.Tensor]]) -> set[str]:
if success:
name = name_mapped
break
if not success:
# No expert mapping matched, or the loader did not
# load this weight for the current rank (e.g. a
# non-canonical checkpoint, or this rank holds no
# replica). Skip it instead of marking it loaded or
# raising UnboundLocalError.
continue
loaded_params.add(name_mapped)
continue
elif "attn_sink" in name:
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