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--- |
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license: apache-2.0 |
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datasets: |
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- turing-motors/LLaVA-Pretrain-JA |
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language: |
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- ja |
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--- |
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# LLaVA-JP Model Card |
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This is a pretrained checkpoint, you can use it to instruct tune your multimodal models. |
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Check out the instructions [here](https://github.com/tosiyuki/LLaVA-JP) |
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## Model details |
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**Model type:** |
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LLaVA-JP is a vision-language model that can converse about input images.<br> |
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This model is an LVLM model trained using [google/siglip-so400m-patch14-384](https://huggingface.co/google/siglip-so400m-patch14-384) as the image encoder and [llm-jp/llm-jp-1.3b-v1.0](https://huggingface.co/llm-jp/llm-jp-1.3b-v1.0) as the text decoder. supports the input of 768 x 768 high resolution images by scaling_on_scales method. |
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## Training dataset |
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- [LLaVA-Pretrain-JA](https://huggingface.co/datasets/turing-motors/LLaVA-Pretrain-JA) |
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## Acknowledgement |
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- [LLaVA](https://llava-vl.github.io/) |
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- [LLM-jp](https://llm-jp.nii.ac.jp/) |
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- [scaling_on_scales](https://github.com/bfshi/scaling_on_scales/tree/master) |
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## License |
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Apache-2.0 |
