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  > **Authors: [Qingkai Fang](https://fangqingkai.github.io/), [Shoutao Guo](https://scholar.google.com/citations?hl=en&user=XwHtPyAAAAAJ), [Yan Zhou](https://zhouyan19.github.io/zhouyan/), [Zhengrui Ma](https://scholar.google.com.hk/citations?user=dUgq6tEAAAAJ), [Shaolei Zhang](https://zhangshaolei1998.github.io/), [Yang Feng*](https://people.ucas.edu.cn/~yangfeng?language=en)**
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- [![arXiv](https://img.shields.io/badge/arXiv-xxxx.xxxxx-b31b1b.svg?logo=arXiv)](https://arxiv.org/abs/xxxx.xxxxx)
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- [![model](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging_Face-Model-blue.svg)](https://huggingface.co/ICTNLP/Llama-3.1-8B-Omni)
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- [![code](https://img.shields.io/badge/Github-Code-keygen.svg?logo=github)](https://github.com/ictnlp/LLaMA-Omni)
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  LLaMA-Omni is a speech-language model built upon Llama-3.1-8B-Instruct. It supports low-latency and high-quality speech interactions, simultaneously generating both text and speech responses based on speech instructions.
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  > **Authors: [Qingkai Fang](https://fangqingkai.github.io/), [Shoutao Guo](https://scholar.google.com/citations?hl=en&user=XwHtPyAAAAAJ), [Yan Zhou](https://zhouyan19.github.io/zhouyan/), [Zhengrui Ma](https://scholar.google.com.hk/citations?user=dUgq6tEAAAAJ), [Shaolei Zhang](https://zhangshaolei1998.github.io/), [Yang Feng*](https://people.ucas.edu.cn/~yangfeng?language=en)**
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+ [[Paper]](https://arxiv.org/abs/xxxx.xxxxx) [[Model]](https://huggingface.co/ICTNLP/Llama-3.1-8B-Omni) [[Code]](https://github.com/ictnlp/LLaMA-Omni)
 
 
 
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  LLaMA-Omni is a speech-language model built upon Llama-3.1-8B-Instruct. It supports low-latency and high-quality speech interactions, simultaneously generating both text and speech responses based on speech instructions.
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