🦙🎧 LLaMA-Omni: Seamless Speech Interaction with Large Language Models

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.

💡 Highlights

• 💪 Built on Llama-3.1-8B-Instruct, ensuring high-quality responses.

• 🚀 Low-latency speech interaction with a latency as low as 226ms.

• 🎧 Simultaneous generation of both text and speech responses.

• ♻️ Trained in less than 3 days using just 4 GPUs.

LICENSE

Our code is released under the Apache-2.0 License. Our model, as it is built on Llama 3.1, is required to comply with the Llama 3.1 License.

Acknowledgements

• LLaVA: The codebase we built upon.
• SLAM-LLM: We borrow some code about speech encoder and speech adaptor.

Citation

If you have any questions, please feel free to submit an issue or contact fangqingkai21b@ict.ac.cn.

If our work is useful for you, please cite as:

@article{fang-etal-2024-llama-omni,
  title={LLaMA-Omni: Seamless Speech Interaction with Large Language Models},
  author={Fang, Qingkai and Guo, Shoutao and Zhou, Yan and Ma, Zhengrui and Zhang, Shaolei and Feng, Yang},
  journal={arXiv preprint arXiv:2409.06666},
  year={2024}
}