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[Bugfix][Model] Make Olmo2Model weight loading return loaded weights (#18504)

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Signed-off-by: Shane A <shanea@allenai.org>
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Shane A 2025-05-21 21:17:03 -07:00 committed by GitHub
parent cf5984b2fe
commit 51797775c3
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1 changed files with 5 additions and 1 deletions
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6
vllm/model_executor/models/olmo2.py
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@ -314,7 +314,8 @@ class Olmo2Model(nn.Module):
hidden_states = self.norm(hidden_states)
return hidden_states
def load_weights(self, weights: Iterable[tuple[str, torch.Tensor]]):
def load_weights(self, weights: Iterable[tuple[str,
torch.Tensor]]) -> set[str]:
stacked_params_mapping = [
# (param_name, shard_name, shard_id)
("qkv_proj", "q_proj", "q"),
@ -325,6 +326,7 @@ class Olmo2Model(nn.Module):
]
params_dict = dict(self.named_parameters(remove_duplicate=False))
loaded_params: set[str] = set()
for name, loaded_weight in weights:
if is_pp_missing_parameter(name, self):
continue
@ -347,6 +349,8 @@ class Olmo2Model(nn.Module):
weight_loader = getattr(param, "weight_loader",
default_weight_loader)
weight_loader(param, loaded_weight)
loaded_params.add(name)
return loaded_params
class Olmo2ForCausalLM(nn.Module, SupportsPP):