[r/LocalLLaMA] I made a tiny 0.8B Qwen model reason over a 100-file repo (89% Token Reduction)

Summary

A new framework called Graph-Oriented Generation (GOG) has been open-sourced, enabling a tiny 0.8B Qwen model to effectively reason over a 100-file code repository. This innovation achieves an 89% token reduction by utilizing Abstract Syntax Tree (AST) graphs to provide a precise map of the code, significantly reducing noise and hallucinations. This approach highlights that intelligent context utilization can be more impactful than simply increasing context window size, allowing smaller models to perform complex code understanding tasks efficiently.

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