Matching AlphaEvolve results with a local QWEN 30B

I've been working on an open-source framework for LLM-guided evolutionary code optimization (think AlphaEvolve, but you can actually run it). The core idea: existing frameworks like OpenEvolve, GEPA, and ShinkaEvolve were all built assuming you have GPT-5 or Gemini Pro for every single mutation. This is wasteful. Most mutations in evolutionary search are small, blind, incremental changes. A local 30B handles these just fine. You only need the big guns for occasional creative leaps. The framework is called LEVI. It does two things differently: Stratified model allocation.