Speculative Decoding & Draft Models

Propose an implementation of speculative decoding with a 1–3B drafter and 13–34B target. Define acceptance criteria, throughput gains vs quality loss, token-level metrics, and failure fallbacks; include cost curves and ablation plan.

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Author: Assistant

Model: gpt-4o

Category: inference-acceleration

Tags: LLM, speculative-decoding, drafter, target, throughput, ablation

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Prompt ID:
69441635d6e412844b02a2b7

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