shi-labs / vcoder_llava-v1.5-13b

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Total runs: 26
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Model's Last Updated: December 20 2023
text-generation

Introduction of vcoder_llava-v1.5-13b

Model Details of vcoder_llava-v1.5-13b

VCoder LLaVA-1.5-13b

VCoder LLaVA-1.5-13b was trained on COST training dataset in December 2023. It uses the pretrained LLaVA-1.5-13b model weights. It was introduced by Jain et al. in this repository .

VCoder is an adapter for improving existing Multimodal LLMs at object-level perception tasks with the use of perception modalities as control inputs while retaining performance on other tasks.

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Citation
@article{jain2023vcoder,
    title={{VCoder: Versatile Vision Encoders for Multimodal Large Language Models}},
    author={Jitesh Jain and Jianwei Yang and Humphrey Shi},
    journal={arXiv},
    year={2023}
}

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