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inference: false |
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license: llama2 |
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pipeline_tag: video-text-to-text |
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--- |
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# LLaVA-Next-Video Model Card |
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## Model details |
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**Model type:** |
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LLaVA-Next-Video is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data. |
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Base LLM: lmsys/vicuna-7b-v1.5 |
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**Model date:** |
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LLaVA-Next-Video-7B was trained in April 2024. |
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**Paper or resources for more information:** |
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https://github.com/LLaVA-VL/LLaVA-NeXT |
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## License |
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Llama 2 is licensed under the LLAMA 2 Community License, |
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Copyright (c) Meta Platforms, Inc. All Rights Reserved. |
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## Where to send questions or comments about the model |
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https://github.com/LLaVA-VL/LLaVA-NeXT/issues |
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## Intended use |
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**Primary intended uses:** |
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The primary use of LLaVA is research on large multimodal models and chatbots. |
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**Primary intended users:** |
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The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence. |
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## Training dataset |
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### Image |
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- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP. |
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- 158K GPT-generated multimodal instruction-following data. |
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- 500K academic-task-oriented VQA data mixture. |
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- 50K GPT-4V data mixture. |
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- 40K ShareGPT data. |
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### Video |
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- 100K VideoChatGPT-Instruct. |
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## Evaluation dataset |
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A collection of 4 benchmarks, including 3 academic VQA benchmarks and 1 captioning benchmark. |
