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[Model] Enable optional prefix when loading embedding models (#10639)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2024-11-26 02:14:33 +08:00
committed by GitHub
parent b1d920531f
commit cf73f0c95e
5 changed files with 20 additions and 13 deletions
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4
vllm/model_executor/models/gemma2.py
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@@ -42,7 +42,7 @@ from vllm.model_executor.sampling_metadata import SamplingMetadata
from vllm.sequence import IntermediateTensors, PoolerOutput
from .interfaces import SupportsLoRA, SupportsPP
from .utils import (AutoWeightsLoader, extract_layer_index,
from .utils import (AutoWeightsLoader, WeightsMapper, extract_layer_index,
is_pp_missing_parameter,
make_empty_intermediate_tensors_factory, make_layers,
maybe_prefix)
@@ -511,4 +511,6 @@ class Gemma2EmbeddingModel(nn.Module, SupportsPP):
return self._pooler(hidden_states, pooling_metadata)
def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
hf_to_vllm_mapper = WeightsMapper(orig_to_new_prefix={"model.": ""})
weights = hf_to_vllm_mapper.apply(weights)
self.model.load_weights(weights)