
# Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
This is the Hugging Face repo for storing pre-trained & fine-tuned checkpoints of our [Video-LLaMA](https://arxiv.org/abs/2306.02858), which is a multi-modal conversational large language model with video understanding capability. 


## Vision-Language Branch
| Checkpoint       | Link | Note |
|:------------|-------------|-------------|
| pretrain-vicuna7b    | [link](https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-Series/resolve/main/pretrain_vicuna7b-v2.pth)       | Pre-trained on WebVid (2.5M video-caption pairs) and LLaVA-CC3M (595k image-caption pairs) |
| finetune-vicuna7b-v2 | [link](https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-Series/resolve/main/finetune-vicuna7b-v2.pth) | Fine-tuned on the instruction-tuning data from [MiniGPT-4](https://github.com/Vision-CAIR/MiniGPT-4), [LLaVA](https://github.com/haotian-liu/LLaVA) and [VideoChat](https://github.com/OpenGVLab/Ask-Anything)|
| pretrain-vicuna13b    | [link](https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-Series/resolve/main/pretrain-vicuna13b.pth)       | Pre-trained on WebVid (2.5M video-caption pairs) and LLaVA-CC3M (595k image-caption pairs) |
| finetune-vicuna13b-v2 | [link](https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-Series/resolve/main/finetune-vicuna13b-v2.pth) | Fine-tuned on the instruction-tuning data from [MiniGPT-4](https://github.com/Vision-CAIR/MiniGPT-4), [LLaVA](https://github.com/haotian-liu/LLaVA) and [VideoChat](https://github.com/OpenGVLab/Ask-Anything)|
| pretrain-ziya13b-zh | [link](https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-Series/resolve/main/pretrain-ziya13b-zh.pth) | Pre-trained with Chinese LLM [Ziya-13B](https://huggingface.co/IDEA-CCNL/Ziya-LLaMA-13B-v1) |
| finetune-ziya13b-zh | [link](https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-Series/resolve/main/finetune-ziya13b-zh.pth) | Fine-tuned on machine-translated [VideoChat](https://github.com/OpenGVLab/Ask-Anything) instruction-following dataset (in Chinese)|
| pretrain-billa7b-zh | [link](https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-Series/resolve/main/pretrain-billa7b-zh.pth) | Pre-trained with Chinese LLM [BiLLA-7B](https://huggingface.co/IDEA-CCNL/Ziya-LLaMA-13B-v1) |
| finetune-billa7b-zh | [link](https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-Series/resolve/main/finetune-billa7b-zh.pth) | Fine-tuned on machine-translated [VideoChat](https://github.com/OpenGVLab/Ask-Anything) instruction-following dataset (in Chinese) |

## Audio-Language Branch
| Checkpoint       | Link | Note |
|:------------|-------------|-------------|
| pretrain-vicuna7b    | [link](https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-Series/resolve/main/pretrain_vicuna7b_audiobranch.pth)       | Pre-trained on WebVid (2.5M video-caption pairs) and LLaVA-CC3M (595k image-caption pairs) |
| finetune-vicuna7b-v2 | [link](https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-Series/resolve/main/finetune_vicuna7b_audiobranch.pth) | Fine-tuned on the instruction-tuning data from [MiniGPT-4](https://github.com/Vision-CAIR/MiniGPT-4), [LLaVA](https://github.com/haotian-liu/LLaVA) and [VideoChat](https://github.com/OpenGVLab/Ask-Anything)|


## Usage
For launching the pre-trained Video-LLaMA on your own machine, please refer to our [github repo](https://github.com/DAMO-NLP-SG/Video-LLaMA).
{"language": ["en", "zh"], "license": "bsd-3-clause", "pipeline_tag": "visual-question-answering"}
visual-question-answering en zh arxiv:2306.02858 license:bsd-3-clause has_space region:us
TAGS
#visual-question-answering #en #zh #arxiv-2306.02858 #license-bsd-3-clause #has_space #region-us 

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
=====================================================================================


This is the Hugging Face repo for storing pre-trained & fine-tuned checkpoints of our Video-LLaMA, which is a multi-modal conversational large language model with video understanding capability.


Vision-Language Branch
----------------------



Audio-Language Branch
---------------------



Usage
-----


For launching the pre-trained Video-LLaMA on your own machine, please refer to our github repo.



TAGS
#visual-question-answering #en #zh #arxiv-2306.02858 #license-bsd-3-clause #has_space #region-us 
