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.
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}
}
Runs of shi-labs vcoder_llava-v1.5-13b on huggingface.co
26
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
20
30-day runs
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