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[Bugfix] Update multimodel models mapping to fit new checkpoint after Transformers v4.52 (#19151)

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Signed-off-by: Isotr0py <2037008807@qq.com>
This commit is contained in:
Isotr0py
2025-06-17 23:58:38 +08:00
committed by GitHub
parent 5a1c2e15d8
commit ca94d7fa00
12 changed files with 304 additions and 75 deletions
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16
vllm/model_executor/models/paligemma.py
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@@ -24,8 +24,9 @@ from vllm.sequence import IntermediateTensors
from .interfaces import MultiModalEmbeddings, SupportsMultiModal, SupportsPP
from .siglip import SiglipVisionModel
from .utils import (AutoWeightsLoader, flatten_bn, init_vllm_registered_model,
maybe_prefix, merge_multimodal_embeddings)
from .utils import (AutoWeightsLoader, WeightsMapper, flatten_bn,
init_vllm_registered_model, maybe_prefix,
merge_multimodal_embeddings)
from .vision import get_vision_encoder_info
logger = init_logger(__name__)
@@ -227,6 +228,15 @@ class PaliGemmaForConditionalGeneration(nn.Module, SupportsMultiModal,
],
}
hf_to_vllm_mapper = WeightsMapper(
orig_to_new_prefix={
# mapping for new names in checkpoint saved after transformers v4.52
"model.language_model.": "language_model.model.",
"model.vision_tower.": "vision_tower.",
"model.multi_modal_projector.": "multi_modal_projector.",
"lm_head.": "language_model.lm_head.",
})
def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
super().__init__()
config = vllm_config.model_config.hf_config
@@ -395,4 +405,4 @@ class PaliGemmaForConditionalGeneration(nn.Module, SupportsMultiModal,
def load_weights(self, weights: Iterable[tuple[str,
torch.Tensor]]) -> set[str]:
loader = AutoWeightsLoader(self)
return loader.load_weights(weights)
return loader.load_weights(weights, mapper=self.hf_to_vllm_mapper)