inference: false
pipeline_tag: image-text-to-text
AVG-LLaVA Model Card
Model details
Model type: AVG-LLaVA is an open-source LMM that can adaptively select the appropriate visual granularity based on the input image and instruction. It is an auto-regressive language model, based on the transformer architecture. Base LLM: lmsys/vicuna-7b-v1.5
Paper or resources for more information: https://arxiv.org/abs/2410.02745
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/DeepLearnXMU/AVG-LLaVA/issues
Intended use
Primary intended uses: The primary use of LLaVA 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
- ShareGPT4V Mix665K
- 200K GPT4V-generated instruction data (ALLaVA)
- 200K various VQA data
Evaluation dataset
A collection of 11 benchmarks, including general VQA benchmarks, text-oriented VQA benchmarks, and general multimodal benchmarks.