Sparrow
Collection
Sparrow is a data augmentation method that enriches the instruction diversity of video data. You can find related data and weights here.
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3 items
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Updated
Sparrow: Data-Efficient Video-LLM with Text-to-Image Augmentation
Model Summary
This model is a part of the project Sparrow. It's a video-LLM fine-tuned from the image-LLM MiniCPM-Llama3-V-2_5.
License
Model License
- The code in this repo is released under the Apache-2.0 License.
- The usage of MiniCPM-V series model weights must strictly follow MiniCPM Model License.md.
- The models and weights of MiniCPM are completely free for academic research. After filling out a "questionnaire" for registration, are also available for free commercial use.
Statement
- As an LLM, MiniCPM-Llama3-V 2.5 generates contents by learning a large mount of texts, but it cannot comprehend, express personal opinions or make value judgement. Anything generated by MiniCPM-Llama3-V 2.5 does not represent the views and positions of the model developers
- We will not be liable for any problems arising from the use of the MinCPM-V open Source model, including but not limited to data security issues, risk of public opinion, or any risks and problems arising from the misdirection, misuse, dissemination or misuse of the model.
Training dataset
- 100K video instruction data from Video-ChatGPT
- 100K video caption data from ShareGemini
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Inference Providers
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This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The HF Inference API does not support model that require custom code execution.
Model tree for xjtupanda/MiniCPM-V-200K-video-finetune
Base model
openbmb/MiniCPM-Llama3-V-2_5