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

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

vllm/model_executor/models/llama.py

@@ -53,7 +53,8 @@ from vllm.platforms import current_platform
 from vllm.sequence import IntermediateTensors, PoolerOutput
 
 from .interfaces import SupportsLoRA, SupportsPP
-from .utils import (AutoWeightsLoader, PPMissingLayer, is_pp_missing_parameter,
+from .utils import (AutoWeightsLoader, PPMissingLayer, WeightsMapper,
+                    is_pp_missing_parameter,
                     make_empty_intermediate_tensors_factory, make_layers,
                     maybe_prefix)
 
@@ -689,6 +690,8 @@ class LlamaEmbeddingModel(nn.Module, SupportsLoRA, 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)
 
     def load_kv_cache_scales(self, quantization_param_path: str) -> None: