| # ConvNeXt Model Card | |
| ## Model details | |
| **Model type:** ConvNeXt is an open-source visual encoder trained by fine-tuning LLM on multimodal caption and instruction-following data. The base model is: laion/CLIP-convnext_large_d_320.laion2B-s29B-b131K-ft-soup. | |
| **Model date:** ConvLLaVA-ConvNeXt-1024 was trained in March 2024. | |
| Paper or resources for more information: https://github.com/alibaba/conv-llava/ | |
| Where to send questions or comments about the model: https://github.com/alibaba/conv-llava/issues | |
| ## Intended use | |
| **Primary intended uses:** The primary use of ConvLLaVA-ConvNeXt is research on large multimodal models and chatbots. | |
| ## Paper | |
| arxiv.org/abs/2405.15738 | |