---
license: apache-2.0
datasets:
- turing-motors/LLaVA-Pretrain-JA
language:
- ja
---

# ConvLLaVA-JP Model Card
This is a pretrained checkpoint, you can use it to instruct tune your multimodal models.

Check out the instructions [here](https://github.com/tosiyuki/LLaVA-JP)

## Model details
**Model type:**
ConvLLaVA-JP is a vision-language model that can converse about input images.<br>
This model is an LVLM model trained using [laion/CLIP-convnext_large_d_320.laion2B-s29B-b131K-ft](https://huggingface.co/laion/CLIP-convnext_large_d_320.laion2B-s29B-b131K-ft) 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 

## Training dataset
- [LLaVA-Pretrain-JA](https://huggingface.co/datasets/turing-motors/LLaVA-Pretrain-JA)

## Acknowledgement
- [ConvLLaVA](https://arxiv.org/abs/2405.15738)
- [LLM-jp](https://llm-jp.nii.ac.jp/)
- [Open CLIP](https://github.com/mlfoundations/open_clip)

## License
Apache-2.0