pretrain_dsg_OLA-VLM-CLIP-ConvNeXT-Llama3-8b

pretrain_dsg_OLA-VLM-CLIP-ConvNeXT-Llama3-8b Model Card

Note: This is the pretrained model used for OLA-VLM-CLIP-ConvNeXT-Llama3-8b.

OLA-VLM distills target visual information into the intermediate representations of the LLM from a set of target encoders. It adopts a predictive embedding optimization approach at selected LLM layers during training to minimize the embedding losses along with the next token prediction (NTP) objective, resulting in a vision-centric approach to training the Multimodal Large Language Model.

• GitHub Repo: https://github.com/SHI-Labs/OLA-VLM
• Project Page: https://praeclarumjj3.github.io/ola_vlm/

<p align="center"> <img src="https://praeclarumjj3.github.io/ola_vlm/teaser.png" width="90%" class="center"/> </p>

Citation

If you found our work useful in your research, please consider starring ⭐ us on GitHub and citing 📚 us in your research!

@article{jain2024ola_vlm,
    title={{OLA-VLM: Elevating Visual Perception in Multimodal LLMs with Auxiliary Embedding Distillation}},
    author={Jitesh Jain and Zhengyuan Yang and Humphrey Shi and Jianfeng Gao and Jianwei Yang},
    journal={arXiv},
    year={2024}
}