metadata
license: bsd-3-clause
language:
- en
- zh
pipeline_tag: visual-question-answering
Video-LLaMA: An Instruction-Finetuned 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.
| Checkpoint | Link | Note |
|---|---|---|
| pretrain-vicuna7b.pth | link | Vicuna-7B as language decoder, pre-trained on WebVid (2.5M video-caption pairs) and LLaVA-CC3M (595k image-caption pairs) |
| finetune-vicuna7b-v2.pth | link | Fine-tuned on VideoChat instruction-following dataset |
| pretrain-vicuna13b.pth | link | Vicuna-13B as language decoder, pre-trained on WebVid (2.5M video-caption pairs) and LLaVA-CC3M (595k image-caption pairs) |
| finetune-vicuna13b-v2.pth (recommended) | link | Fine-tuned on VideoChat instruction-following dataset |
| pretrain-ziya13b-zh.pth | link | Pre-trained with Chinese LLM Ziya-13B |
| finetune-ziya13b-zh.pth | link | Fine-tuned on machine-translated VideoChat instruction-following dataset (in Chinese) |
| pretrain-billa7b-zh.pth | link | Pre-trained with Chinese LLM BiLLA-7B |
| finetune-billa7b-zh.pth | link | Fine-tuned on machine-translated VideoChat instruction-following dataset (in Chinese) |