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AVG-LLaVA-Stage3
zhibinlan/AVG-LLaVA-Stage3
AVG-LLaVA-Stage3 is a image-text-to-text model from zhibinlan. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product.
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At a glance
- Task
- Image-Text-to-Text
- Model type
- llava_llama
- Access
- Public
- Created
- Sep 26, 2024
- Updated
- Oct 12, 2024
- SHA
- 900b61b6
Try a prompt
Model card
From the Hugging Face model README
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AVG-LLaVA Model Card
Model details
Model type: AVG-LLaVA-Stage3 is an open-source LMM trained by multi-granularity visual instruction tuning. 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.
- Task
- Image-Text-to-Text
- Type
- llava_llama
- Created
- Sep 26, 2024
- Updated
- Oct 12, 2024