--- tags: - vision-language model - mixtral - generation datasets: - YanweiLi/Mini-Gemini-Instruction --- # Mini-Gemini-8x7B-HD Model Card ## Model details 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. You can also try our other Mini-Gemini series models: 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) High resolution setting: [Mini-Gemini-7B-HD](https://huggingface.co/YanweiLi/Mini-Gemini-7B-HD), [Mini-Gemini-13B](https://huggingface.co/YanweiLi/Mini-Gemini-13B-HD), [Mini-Gemini-34B-HD](https://huggingface.co/YanweiLi/Mini-Gemini-34B-HD) **Model type:** Mini-Gemini is an open-source chatbot trained by fine-tuning Mixtral-8x7B on GPT-generated multimodal instruction-following data. Mini-Gemini empowers existing frameworks to support HD image understanding, reasoning, and generation simultaneously. **Model version:** Mini-Gemini with LLM Mixtral-8x7B-Instruct-v0.1 **Model date:** Mini-Gemini-8x7B-HD was trained on 03/2024. ## License Mixtral-8x7B is licensed under the apache-2.0 License, **Where to send questions or comments about the model:** https://github.com/dvlab-research/MiniGemini/issues ## Intended use **Primary intended uses:** The primary use of Mini-Gemini 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 data 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.