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URL: https://huggingface.co/DAMO-NLP-SG/VideoLLaMA2.1-7B-16F

⇱ DAMO-NLP-SG/VideoLLaMA2.1-7B-16F · Hugging Face

👁 Image

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

If you like our project, please give us a star ⭐ on Github for the latest update.

📰 News

🌎 Model Zoo

Model Name Type Visual Encoder Language Decoder # Training Frames
VideoLLaMA2-7B-Base Base clip-vit-large-patch14-336 Mistral-7B-Instruct-v0.2 8
VideoLLaMA2-7B Chat clip-vit-large-patch14-336 Mistral-7B-Instruct-v0.2 8
VideoLLaMA2-7B-16F-Base Base clip-vit-large-patch14-336 Mistral-7B-Instruct-v0.2 16
VideoLLaMA2-7B-16F Chat clip-vit-large-patch14-336 Mistral-7B-Instruct-v0.2 16
VideoLLaMA2-8x7B-Base Base clip-vit-large-patch14-336 Mixtral-8x7B-Instruct-v0.1 8
VideoLLaMA2-8x7B Chat clip-vit-large-patch14-336 Mixtral-8x7B-Instruct-v0.1 8
VideoLLaMA2-72B-Base Base clip-vit-large-patch14-336 Qwen2-72B-Instruct 8
VideoLLaMA2-72B Chat clip-vit-large-patch14-336 Qwen2-72B-Instruct 8
VideoLLaMA2.1-7B-16F-Base Base siglip-so400m-patch14-384 Qwen2-7B-Instruct 16
VideoLLaMA2.1-7B-16F (This Checkpoint) Chat siglip-so400m-patch14-384 Qwen2-7B-Instruct 16

🚀 Main Results

Multi-Choice Video QA & Video Captioning

👁 Image

Open-Ended Video QA

👁 Image

🤖 Inference with VideoLLaMA2 

import sys
sys.path.append('./')
from videollama2 import model_init, mm_infer
from videollama2.utils import disable_torch_init


def inference():
 disable_torch_init()

 # Video Inference
 modal = 'video'
 modal_path = 'assets/cat_and_chicken.mp4' 
 instruct = 'What animals are in the video, what are they doing, and how does the video feel?'
 
 # Image Inference
 modal = 'image'
 modal_path = 'assets/sora.png'
 instruct = 'What is the woman wearing, what is she doing, and how does the image feel?'
 
 model_path = 'DAMO-NLP-SG/VideoLLaMA2-7B-16F'
 model, processor, tokenizer = model_init(model_path)
 output = mm_infer(processor[modal](modal_path), instruct, model=model, tokenizer=tokenizer, do_sample=False, modal=modal)

 print(output)

if __name__ == "__main__":
 inference()

Citation

If you find VideoLLaMA useful for your research and applications, please cite using this BibTeX:

@article{damonlpsg2024videollama2,
 title={VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs},
 author={Cheng, Zesen and Leng, Sicong and Zhang, Hang and Xin, Yifei and Li, Xin and Chen, Guanzheng and Zhu, Yongxin and Zhang, Wenqi and Luo, Ziyang and Zhao, Deli and Bing, Lidong},
 journal={arXiv preprint arXiv:2406.07476},
 year={2024},
 url = {https://arxiv.org/abs/2406.07476}
}

@article{damonlpsg2023videollama,
 title = {Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding},
 author = {Zhang, Hang and Li, Xin and Bing, Lidong},
 journal = {arXiv preprint arXiv:2306.02858},
 year = {2023},
 url = {https://arxiv.org/abs/2306.02858}
}
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