MAV

Model Activity Visualiser (MAV)

MAV is a powerful tool designed to visualize the internal workings of Large Language Models (LLMs) as they generate text. It enables developers and researchers to gain insights into the model's behavior and decision-making processes.

Key Features:

• Multiple Installation Methods: Easily install using uv, pip, or set up local development environments.
• Interactive Visualization: Observe how models process prompts in real-time, enhancing understanding and debugging capabilities.
• Custom Plugin Development: Create your own plugins to extend the functionality of the visualizer.
• Advanced Usage Examples: Explore examples and run custom configurations to tailor the visualization to specific needs.

Benefits:

• Enhanced Understanding: Deep dive into LLM operations, improving model development and optimization.
• Community Contributions: Engage with a community of contributors to share and implement ideas.
• Documentation and Tutorials: Access a wealth of resources to help users get started and maximize their experience with MAV.

Highlights:

• Run visualizations for various Hugging Face models.
• Support for both Jupyter Notebook and Colab.
• Actively maintained with frequent updates and improvements.