ConvLLaVA/ConvLLaVA-pretrain-1024

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-pretrain-1024 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