Feb. 5, 2024, 3:43 p.m. | Minghao Yan Saurabh Agarwal Shivaram Venkataraman

cs.LG updates on arXiv.org arxiv.org

Speculative Decoding is a widely used technique to speed up inference for Large Language Models (LLMs) without modifying its outcome. When performing inference on an LLM, speculative decoding uses a smaller draft model which generates speculative tokens and then uses the target LLM to verify those draft tokens. The speedup provided by speculative decoding heavily depends on the choice of the draft model. It has been widely suggested to select a draft model that provides a high probability of the …

cs.cl cs.lg decoding draft inference language language models large language large language models llm llms speed tokens verify

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