This model checkpoint contains the depth probes for CLIP-ConvNeXT-XXL Llama-3-8b based LLaVA-1.5 model after the PT and 50% IFT stages, i.e., trained on the LLaVA-558K and 50% LLaVA-665K dataset. Please refer to documentation for more details.
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@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}
}
