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Osprey

model1 events
papersSEP 10 04:00 UTC

Osprey: Target-Agnostic Pre-training Builds Stronger Draft Models for Speculative Decoding

Researchers introduce Osprey, a pre-training approach for draft models used in speculative decoding that is not tied to any specific target model. Draft models are typically tuned to a single target's output distribution, causing acceptance rates to fall when workloads change, and target-agnostic pre-training aims to keep them robust. The work focuses on achieving faster and more stable inference for large language models.

speculative-decoding/llm-inference/efficiency/research