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Zhiqiang007/Math-LLaVA
Math-LLaVA is a image-text-to-text model from Zhiqiang007. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Downloads · 30 days
37
2% of all-time downloads
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26.7 GB on disk
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From the Hugging Face model README
Model type: Math-LLaVA is an open-source MLLM by fine-tuning LLaVA-1.5-13B on selected and GPT4-Vision-assisted synthesized MathV360K data.
Model date: Math-LLaVA-13B was trained in June 2024.
Paper or resources for more information: [Paper] [Code]
Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
Primary intended uses: The primary use of Math-LLaVA is research on multimodal large language models, multimodal reasoning and question answering.
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.
A collection of 3 benchmarks, including 2 multimodal mathematical reasoning benchmarks and 1 benchmark for multi-discipline multimodal reasoning.