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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/llava_next.py
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@@ -26,8 +26,8 @@ from .llava import (BaseLlavaMultiModalProcessor, BaseLlavaProcessingInfo,
LlavaDummyInputsBuilder, LlavaLikeConfig,
LlavaMultiModalProjector, init_vision_tower_for_llava)
from .siglip import SiglipVisionModel
from .utils import (AutoWeightsLoader, embed_multimodal, flatten_bn,
init_vllm_registered_model, maybe_prefix)
from .utils import (AutoWeightsLoader, WeightsMapper, embed_multimodal,
flatten_bn, init_vllm_registered_model, maybe_prefix)
class LlavaNextImagePixelInputs(TypedDict):
@@ -205,6 +205,16 @@ class LlavaNextMultiModalProcessor(
class LlavaNextForConditionalGeneration(nn.Module, SupportsMultiModal,
SupportsPP):
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.",
"model.image_newline": "image_newline",
"lm_head.": "language_model.lm_head.",
})
def __init__(self, *, vllm_config: VllmConfig, prefix: str = "") -> None:
super().__init__()
config = vllm_config.model_config.hf_config
@@ -583,4 +593,4 @@ class LlavaNextForConditionalGeneration(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)