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Thanks for the great work! I am trying to run the inference code according to the instruction, and met this error when loading the pretraining weight, is there any issue to resolve this?
Could you provide more details about your intended purpose and usage? The pre-trained weights for VILA-U can be easily loaded using the following command:
import vila_u
vila_u.load("vila-u-7b-256") # pre-trained model path
Hi,
Thanks for the great work! I am trying to run the inference code according to the instruction, and met this error when loading the pretraining weight, is there any issue to resolve this?
llm = AutoModelForCausalLM.from_pretrained(model_name_or_path, config=llm_cfg, torch_dtype=eval(config.model_dtype), *args, **kwargs)
Error: safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge
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