Flat Score, Amplified Failures: How the Error Budget Masks Damage in Quantized LLM Agents

Jiwon Jang, Kisu Yang, Heuiseok Lim +1

Post-training quantization to 4-bit weights is widely reported to be nearly lossless. We test this claim for multi-turn, tool-calling agents, where it now matters most. On ${\tau }^2$-be…