atom-patterns

What problem does it solve?

This Skill provides coding patterns and architecture guidance for optimizing the ATOM LLM inference engine, enhancing performance and efficiency.

Core Features & Use Cases

• Code Architecture: Offers a detailed directory structure and module descriptions for the ATOM engine.
• Model Implementation: Provides a template for adding new models and reusing existing ones.
• Workflows: Describes workflows for adding models, fixing bugs, and debugging.
• Testing: Outlines testing patterns and the use of pytest for unit testing.
• Environment Variables: Lists and explains environment variables for configuring the ATOM engine.
• CI/CD: Details the CI/CD setup for accuracy testing and benchmarking.

Quick Start

Use the atom-patterns skill to review the directory structure of the ATOM engine and understand the architecture of model loading and execution.