Gazelle - Joint Speech Language Model
Gazelle is an innovative project that features a Joint Speech Language Model. Aimed at enhancing the functionality of speech processing applications, Gazelle embodies cutting-edge artificial intelligence techniques to handle speech and language tasks simultaneously.
Project Overview
The Gazelle project repository hosts the modeling code for the Joint Speech Language Model. It stands as a remarkable tool that focuses on integrating the capabilities of speech recognition and language understanding into a single, cohesive model. By doing so, Gazelle offers a streamlined solution for applications that require both functionalities.
How It Works
The inference code of Gazelle draws heavily from Huggingface's Llava implementation, suggesting that it benefits from robust community-driven standards in AI modeling. However, it is mentioned that the model is not particularly optimized yet, which opens up opportunities for further contributions from the community to refine and enhance its performance.
Checkpoints and Versions
Gazelle has released several checkpoints that serve as benchmark versions of the model:
- v0.2: This version is available on Huggingface, and it includes improvements over earlier releases.
- v0.2-dpo: Another variant of v0.2, also accessible on Huggingface.
- v0.1: The initial version, which formed the foundation of the model, is also hosted on Huggingface.
Community and Resources
Interested individuals can join the Gazelle community on Discord to participate in discussions, contribute to development, or seek support. Additionally, the project has a series of communications, such as a blog post and release notes, providing deeper insights into its development and capabilities.
Important Considerations
Gazelle is in its nascent stages, and the creators have issued a disclaimer highlighting some limitations. The initial checkpoints may not yet adequately address all real-world scenarios and might be susceptible to certain vulnerabilities like adversarial attacks and jailbreaks. Hence, caution is advised against using Gazelle in production environments until further stability and robustness are achieved.
Licensing
The Gazelle code is licensed under Apache 2.0, ensuring open access while maintaining necessary use terms. The v0.2 release is notably derived from the Mistral 7B model, while v0.1 checkpoints inherit from Llama 2, necessitating compliance with the Llama 2 license terms when utilized.
In summary, Gazelle represents a pivotal step in the convergence of speech and language understanding within AI, poised for growth and development through continuous community involvement and user engagement.