pretrain_dsg_OLA-VLM-CLIP-ViT-Phi3-4k-mini Model Card
Note: This is the pretrained model used for OLA-VLM-CLIP-ViT-Phi3-4k-mini.
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/
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}
}