Across 13 quantization setups on six LLMs and two APR benchmarks, memory falls sharply while time and energy rise, nearly half of configs are Pareto-dominated, and repaired bug sets drift despite similar counts.
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Smaller Models, Unexpected Costs: Trade-offs in LLM Quantization for Automated Program Repair
Across 13 quantization setups on six LLMs and two APR benchmarks, memory falls sharply while time and energy rise, nearly half of configs are Pareto-dominated, and repaired bug sets drift despite similar counts.