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Osprey: Target-agnostic Pre-training Makes Stronger Drafters in Speculative Decoding
Author1, Author2, Author3, Author4, Author5
speculative decodingpretraininglanguage modelstransfer learning
2609.09338
Builder Relevance
1h ago80%
Abstract
Osprey introduces a target-agnostic pretraining approach for drafters in speculative decoding, enhancing their performance across various models.
Reality Card
Core Claim
Osprey improves mean acceptance length by 16.1% to 22.7% across different target models while increasing tokens per second by 17.5%.
Method / Result
Mean acceptance length improved by 22.7% for the 229B MiniMax-M2.5.
Limitations
The method requires careful adaptation for each target, which may complicate reproducibility.
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