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Beyond Accuracy: How Quantization Affects Coding Agents
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research evaluates how 4-bit quantization (AWQ and GPTQ) impacts agentic coding performance across open-source model families.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 4 November 2026
- Collected by OneBench
- 5 Nov 2026, 02:01 UK
- Original headline
- Beyond Accuracy: How Quantization Affects Coding Agents ↗
Stored source excerpt
arXiv:2611.02368v1 Announce Type: new Abstract: Agents are increasingly used for coding tasks, but the inference cost of large language models (LLMs) limits where they can…
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