The authors provide detailed instructions for installing and running the model, including how to clone the repository, install necessary packages, and download the required models. They also provide a demo and instructions for local inference. The code is released under the Apache-2.0 License, but as it is built on Llama 3.1, it must comply with the Llama 3.1 License. The authors encourage anyone who finds their work useful to cite their paper, "LLaMA-Omni: Seamless Speech Interaction with Large Language Models."
Key takeaways:
- LLaMA-Omni is a speech-language model that supports low-latency and high-quality speech interactions, simultaneously generating both text and speech responses based on speech instructions.
- The model is built on Llama-3.1-8B-Instruct, ensuring high-quality responses and it supports low-latency speech interaction with a latency as low as 226ms.
- It is capable of simultaneous generation of both text and speech responses and was trained in less than 3 days using just 4 GPUs.
- The model can be installed and used locally, with detailed instructions provided for installation, quick start, and local inference.