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Use MGM to represent Mini-Gemini

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@@ -4,32 +4,32 @@ tags:
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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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- # Mini-Gemini-7B-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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  ## 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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- Normal resolution setting: [Mini-Gemini-2B](https://huggingface.co/YanweiLi/Mini-Gemini-2B), [Mini-Gemini-7B](https://huggingface.co/YanweiLi/Mini-Gemini-7B), [Mini-Gemini-13B](https://huggingface.co/YanweiLi/Mini-Gemini-13B), [Mini-Gemini-8x7B](https://huggingface.co/YanweiLi/Mini-Gemini-8x7B), [Mini-Gemini-34B](https://huggingface.co/YanweiLi/Mini-Gemini-34B)
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- High resolution setting: [Mini-Gemini-13B-HD](https://huggingface.co/YanweiLi/Mini-Gemini-13B-HD), [Mini-Gemini-8x7B-HD](https://huggingface.co/YanweiLi/Mini-Gemini-8x7B-HD), [Mini-Gemini-34B-HD](https://huggingface.co/YanweiLi/Mini-Gemini-34B-HD)
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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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- Mini-Gemini empowers existing frameworks to support HD image understanding, reasoning, and generation simultaneously.
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  **Model version:**
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- Mini-Gemini HD Version with LLM Vicuna-7B-v1.5
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  **Model date:**
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- Mini-Gemini-7B-HD was trained on 03/2024.
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  ## License
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  Llama 2 is licensed under the LLAMA 2 Community License,
@@ -40,10 +40,13 @@ https://github.com/dvlab-research/MiniGemini/issues
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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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  **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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  ## 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.
 
 
 
 
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  - llama
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  - generation
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  datasets:
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+ - YanweiLi/MGM-Instruction
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  ---
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+ # MGM-7B-HD Model Card
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+ <a href='https://github.com/dvlab-research/MGM'><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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  ## Model details
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+ The framework 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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+ Normal resolution setting: [MGM-2B](https://huggingface.co/YanweiLi/MGM-2B), [MGM-7B](https://huggingface.co/YanweiLi/MGM-7B), [MGM-13B](https://huggingface.co/YanweiLi/MGM-13B), [MGM-8x7B](https://huggingface.co/YanweiLi/MGM-8x7B), [MGM-34B](https://huggingface.co/YanweiLi/MGM-34B)
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+ High resolution setting: [MGM-13B-HD](https://huggingface.co/YanweiLi/MGM-13B-HD), [MGM-8x7B-HD](https://huggingface.co/YanweiLi/MGM-8x7B-HD), [MGM-34B-HD](https://huggingface.co/YanweiLi/MGM-34B-HD)
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  **Model type:**
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+ MGM is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
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+ It empowers existing frameworks to support HD image understanding, reasoning, and generation simultaneously.
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  **Model version:**
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+ MGM HD Version with LLM Vicuna-7B-v1.5
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  **Model date:**
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+ MGM-7B-HD was trained on 03/2024.
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  ## License
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  Llama 2 is licensed under the LLAMA 2 Community License,
 
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  ## Intended use
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  **Primary intended uses:**
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+ The primary use is research on large multimodal models and chatbots.
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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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  ## Training data
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+ This model is trained based on [MGM-Instruction](https://huggingface.co/datasets/YanweiLi/MGM-Instruction) dataset, please to the [Github](https://github.com/dvlab-research/MGM) for more detail.
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+
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+ ## Acknowledgement
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+ This project is not affiliated with Google LLC.