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---
datasets:
- liuhaotian/LLaVA-Instruct-150K
---
# ConvLLaVA Model Card
## Model details
**Model type:** ConvLLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: lmsys/vicuna-7b-v1.5
**Model date:** ConvLLaVA-768 was trained in March 2024.
Paper or resources for more information: https://github.com/alibaba/conv-llava/
## License
Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
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 is research on large multimodal models and chatbots.
**Primary intended users:** The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
## Training dataset
- 1.2M ShareGPT4V-PT caption data.
- 100K ShareGPT4V caption data.
- 1.4M ALLaVA caption and instruction data.
- 186K VFLAN multitask data.
- 158K GPT-generated multimodal instruction-following data.
- 500K academic-task-oriented VQA data mixture.
- 40K ShareGPT data.
## Paper
arxiv.org/abs/2405.15738 |