convert : skip unknown tensors (need for LLaVA)
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1 changed files with 3 additions and 1 deletions
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@ -1195,7 +1195,9 @@ def convert_model_names(model: LazyModel, params: Params) -> LazyModel:
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for name, lazy_tensor in model.items():
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for name, lazy_tensor in model.items():
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tensor_type, name_new = tmap.get_type_and_name(name, try_suffixes = (".weight", ".bias")) or (None, None)
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tensor_type, name_new = tmap.get_type_and_name(name, try_suffixes = (".weight", ".bias")) or (None, None)
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if name_new is None:
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if name_new is None:
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raise Exception(f"Unexpected tensor name: {name}")
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#raise Exception(f"Unexpected tensor name: {name}")
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print(f"Unexpected tensor name: {name} - skipping")
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continue
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if tensor_type in should_skip:
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if tensor_type in should_skip:
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print(f"skipping tensor {name_new}")
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print(f"skipping tensor {name_new}")
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