Effectiveness of HyQuant in agent and coding settings

Determine whether the HyQuant hybrid-precision quantization framework remains effective for agent and coding-related inference settings.

Background

HyQuant is evaluated across multiple LLMs and benchmarks, primarily emphasizing long-context understanding and mathematical reasoning. The paper does not assess agent-oriented or coding-related workloads, where attention patterns, context usage, and KV-cache requirements may differ substantially from the evaluated tasks. Consequently, the transferability of HyQuant’s accuracy–efficiency trade-off to these settings remains unresolved.