---
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