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thaki-AI/daily-paper-2026-09-17-tool-call-quantization-cliff

The Tool-Call Cliff: Measuring the Accuracy Decay of Agentic Structured Output Under Low-Bit Quantization in Self-Hosted H200 Serving TL;DR — We formalize the tool-call cliff - the hypothesis that agentic structured tool calls decay faster than free-form prose under NVFP4/8-bit quantization - as an accuracy tax and a cliff ratio against a free-form control, derive two falsifiable predictions (a per-category failure-mode composition and a superlinear 8-to-4-bit tax jump), and… See the full description on the dataset page: https://huggingface.co/datasets/thaki-AI/daily-paper-2026-09-17-tool-call

Author / organizationthaki-AI
License (as declared)cc-by-4.0
Downloads194 (as reported by Hugging Face)
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Created16 September 2026
Last updated at source16 September 2026
tool-callingllm-quantizationnvfp4structured-outputh200-servingprecision-tier-routingagentic-workflowbfcl
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