AI IDE

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Cursor

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Workflow for studying unfamiliar LLMs

1. Read the official report first
   • Use it to understand the model family, goals, and top-level architecture.
   • Treat it as the overview, not the final source of implementation truth.
2. Inspect the Hugging Face config
   • Check layers, hidden size, attention heads, RoPE settings, MoE options, KV heads, and other structural fields.
   • Config files often expose details that summaries skip.
3. Read the reference implementation
   • If the model is supported by transformers or an official repo, inspect the real code path.
   • Working code is usually the most reliable way to confirm module order and implementation details.
4. Only then summarize or diagram it
   • Once you have your own mental model, use the AI IDE to generate diagrams, compare related architectures, or explain local modules.

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Best fit

• Open-weight models
• Models with public configs and reference implementations
• Less useful for closed models that only expose product-level descriptions

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Reference

• Sebastian Raschka: My Workflow for Understanding LLM Architectures

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