Model Card for InternVL

This repository contains the PyTorch version of the InternVL model weights.

What is InternVL?

InternVL scales up the ViT to 6B parameters and aligns it with LLM.

It is the largest open-source vision/vision-language foundation model (14B) to date, achieving 32 state-of-the-art performances on a wide range of tasks such as visual perception, cross-modal retrieval, multimodal dialogue, etc.

Pretrained Weights

model name	type	download	size
InternViT-6B-224px	pytorch	🤗 HF link	12 GB
InternVL-C-13B-224px	pytorch	🤗 HF link	25.4 GB

Linear-Probe Image Classification (ImageNet Series)

model name	IN-1K	IN-ReaL	IN-V2	IN-A	IN-R	IN-Sketch	download
InternViT-6B-224px	88.2	90.4	79.9	77.5	89.8	69.1	ckpt \| log

Semantic Segmentation (ADE20K)

type	backbone	head	mIoU	config	download
few-shot (1/16)	InternViT-6B	Linear	46.5	config	ckpt \| log
few-shot (1/8)	InternViT-6B	Linear	50.0	config	ckpt \| log
few-shot (1/4)	InternViT-6B	Linear	53.3	config	ckpt \| log
few-shot (1/2)	InternViT-6B	Linear	55.8	config	ckpt \| log
few-shot (1/1)	InternViT-6B	Linear	57.2	config	ckpt \| log
linear probing	InternViT-6B (frozen)	Linear	47.2	config	ckpt \| log
head tuning	InternViT-6B (frozen)	UperNet	54.9	config	ckpt \| log
full tuning	InternViT-6B	UperNet	58.9	config	ckpt \| log

License

This project is released under the MIT license. Parts of this project contain code and models from other sources, which are subject to their respective licenses.

Citation

If you find this project useful in your research, please consider cite:

@article{chen2023internvl,
  title={InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks},
  author={Chen, Zhe and Wu, Jiannan and Wang, Wenhai and Su, Weijie and Chen, Guo and Xing, Sen and Zhong, Muyan and Zhang, Qinglong and Zhu, Xizhou and Lu, Lewei and Li, Bin and Luo, Ping and Lu, Tong and Qiao, Yu and Dai, Jifeng},
  journal={arXiv preprint arXiv:2312.14238},
  year={2023}
}

Acknowledgement

InternVL is built with reference to the code of the following projects: OpenAI CLIP, Open CLIP, CLIP Benchmark, EVA, InternImage, ViT-Adapter, MMSegmentation, Transformers, DINOv2, BLIP-2, Qwen-VL, and LLaVA-1.5. Thanks for their awesome work!

OpenGVLab
/

InternVL