Flat Score, Amplified Failures: Quantization to 4-bit weights hides damage in multi-turn tool-calling LLM agents
Read the original at arxiv.org→arXiv:2607.27275v1 Announce Type: new Abstract: 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...
Original headline: "Flat Score, Amplified Failures: How the Error Budget Masks Damage in Quantized LLM Agents"
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- Jul 31, 04:00 UTC arXiv cs.LG lead source Flat Score, Amplified Failures: How the Error Budget Masks Damage in Quantized LLM Agents