LLaVA-JP Model Card
This is a pretrained checkpoint, you can use it to instruct tune your multimodal models.
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Model details
Model type:
LLaVA-JP is a vision-language model that can converse about input images.
This model is an LVLM model trained using google/siglip-so400m-patch14-384 as the image encoder and 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.
Training dataset
Acknowledgement
License
Apache-2.0
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