Llm Architecture Gallery

What This Skill Does

The LLM Architecture Gallery skill serves as an administrative interface for the open-source repository maintained by Sebastian Raschka. Its primary function is to manage the source data and metadata that powers the visual catalog of large language model architectures. By using this skill, users can interact directly with the models.yml file, which acts as the "single source of truth" for the gallery. It simplifies the process of adding new model entries, updating existing metadata, and ensuring that architecture diagrams are correctly referenced. Whether you are adding a new release like DeepSeek R1 or updating the fact sheets for older models, this skill provides a structured way to contribute data to the community gallery.

Installation

To install this skill, use the OpenClaw CLI in your terminal: clawhub install openclaw/skills/skills/adisinghstudent/llm-architecture-gallery

Use Cases

This skill is designed for researchers, developers, and AI enthusiasts who want to contribute to the LLM Architecture Gallery. Common use cases include:

• Automating the contribution of new model entries by generating the required YAML schema format.
• Updating historical model data such as parameters, context length, and license information.
• Verifying metadata consistency across the gallery dataset.
• Onboarding new contributors by explaining the gallery structure and image path conventions.
• Maintaining the accuracy of research data to ensure the public website reflects the latest advancements in LLM architecture.

Example Prompts

• "Add a new entry for the Llama 3.1 model to the models.yml file, ensuring the image path points correctly to /images/architectures/llama-3-1.webp."
• "Update the DeepSeek R1 entry in the architecture gallery to include the new paper URL and update its notes field to mention the reinforcement learning training approach."
• "Show me the current schema requirements for adding a new architecture to the gallery and explain where I should store the .webp diagram files."

Tips & Limitations

When using this skill, ensure that all image files are correctly processed into the .webp format before adding them to the repository, as the gallery site exclusively uses this format for performance reasons. Always verify the canonical name used in models.yml to prevent duplicate entries. Note that while this skill streamlines metadata management, it does not automatically host images; you must manually place your architecture diagrams into the images/architectures/ folder structure of the repository. Maintain consistency in field naming—such as adhering to the specified release date format (YYYY-MM-DD)—to ensure the automated build process of the gallery site does not encounter parsing errors.