Evaluating Code Models

This wraps the BigCode Evaluation Harness, which benchmarks code generation models across 15+ standardized tests including HumanEval, MBPP, and MultiPL-E supporting 18 programming languages. You'd reach for this when you need to compare model performance systematically rather than relying on vibes, or when you're fine-tuning a code model and want real numbers on whether your changes actually help. The harness is widely used in research (9.2K stars), so your benchmarks will be comparable to published results. Setup requires cloning the repo and running accelerate config, so it's not quite as plug-and-play as some skills, but the tradeoff is you get the full evaluation suite that serious ML teams use.