datasets:
- Lin-Chen/ShareGPT4V
- FreedomIntelligence/ALLaVA-4V
- Vision-Flan/vision-flan_191-task_1k
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-1536 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