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+ ---
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+ tags:
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+ - vision-language model
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+ - llama
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+ - generation
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+ datasets:
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+ - YanweiLi/Mini-Gemini-Instruction
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+ ---
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+
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+
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+ # Mini-Gemini-13B-HD Model Card
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+ <a href='https://github.com/dvlab-research/MiniGemini'><img src='https://img.shields.io/badge/Project-Code-violet'></a>
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+ <a href='https://mini-gemini.github.io/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
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+ <a href='https://arxiv.org/pdf/2403.18814.pdf'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
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+
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+ ## Model details
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+ Mini-Gemini supports a series of dense and MoE Large Language Models (LLMs) from 2B to 34B with HD image understanding, reasoning, and generation simultaneously.
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+
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+ **Model type:**
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+ Mini-Gemini is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
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+
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+ Mini-Gemini empowers existing frameworks to support HD image understanding, reasoning, and generation simultaneously.
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+
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+ **Model version:**
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+ Mini-Gemini HD Version with LLM Vicuna-13B-v1.5
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+
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+ **Model date:**
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+ Mini-Gemini-13B-HD was trained on 03/2024.
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+
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+ ## License
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+ Llama 2 is licensed under the LLAMA 2 Community License,
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+ Copyright (c) Meta Platforms, Inc. All Rights Reserved.
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+
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+ **Where to send questions or comments about the model:**
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+ https://github.com/dvlab-research/MiniGemini/issues
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+
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+ ## Intended use
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+ **Primary intended uses:**
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+ The primary use of Mini-Gemini is research on large multimodal models and chatbots.
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+
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+ **Primary intended users:**
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+ The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
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+
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+ ## Training data
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+ This model is trained based on [Mini-Gemini-Instruction](https://huggingface.co/datasets/YanweiLi/Mini-Gemini-Instruction) dataset, please to the [Github](https://github.com/dvlab-research/MiniGemini) for more detail.