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[VLM] Support loading InternVideo2.5 models as original InternVLChatModel (#14738)

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Signed-off-by: Isotr0py <2037008807@qq.com>
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Isotr0py 2025-03-13 18:10:02 +08:00 committed by GitHub
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2 changed files with 10 additions and 3 deletions
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4
docs/source/models/supported_models.md
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@ -786,9 +786,9 @@ See [this page](#generative-models) for more information on how to use generativ
* *
* ✅︎ * ✅︎
- * `InternVLChatModel` - * `InternVLChatModel`
* InternVL 2.5, Mono-InternVL, InternVL 2.0 * InternVideo 2.5, InternVL 2.5, Mono-InternVL, InternVL 2.0
* T + I<sup>E+</sup> * T + I<sup>E+</sup>
* `OpenGVLab/InternVL2_5-4B`, `OpenGVLab/Mono-InternVL-2B`, `OpenGVLab/InternVL2-4B`, etc. * `OpenGVLab/InternVideo2_5_Chat_8B`, `OpenGVLab/InternVL2_5-4B`, `OpenGVLab/Mono-InternVL-2B`, `OpenGVLab/InternVL2-4B`, etc.
* *
* ✅︎ * ✅︎
* ✅︎ * ✅︎

9
vllm/model_executor/models/internvl.py
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@ -981,5 +981,12 @@ class InternVLChatModel(nn.Module, SupportsMultiModal, SupportsPP):
def load_weights(self, weights: Iterable[Tuple[str, def load_weights(self, weights: Iterable[Tuple[str,
torch.Tensor]]) -> Set[str]: torch.Tensor]]) -> Set[str]:
loader = AutoWeightsLoader(self) # unused modules appear in OpenGVLab/InternVideo2_5_Chat_8B
skip_prefixes = [
"action_embed", "temporal_embed", "track_embed",
"track_embed_decoder", "box_token", "cg_criterion", "cg_model",
"loc_encoder", "loc_decoder", "sam", "temporal_token",
"track_token"
]
loader = AutoWeightsLoader(self, skip_prefixes=skip_prefixes)
return loader.load_weights(weights) return loader.load_weights(weights)