📄 中文摘要
P-EAGLE 是一种新技术，旨在加速大语言模型（LLM）的推理过程。该技术通过并行推测解码的方式，提高了推理效率。自 vLLM 版本 0.16.0（PR#32887）起，P-EAGLE 被成功集成到 vLLM 中，使得用户能够更快速地进行模型推理。此外，文章还介绍了如何使用预训练的检查点来服务 P-EAGLE，以便于开发者和研究人员在实际应用中充分利用这一技术。
P-EAGLE：通过 vLLM 中的并行推测解码加速 LLM 推理
出处: P-EAGLE: Faster LLM inference with Parallel Speculative Decoding in vLLM
发布: 2026年3月13日
📄 English Summary
P-EAGLE: Faster LLM inference with Parallel Speculative Decoding in vLLM
P-EAGLE is a novel technology designed to accelerate inference for large language models (LLMs). It enhances inference efficiency through parallel speculative decoding. Integrated into vLLM starting from version 0.16.0 (PR#32887), P-EAGLE enables users to perform model inference more rapidly. The post also details how to serve P-EAGLE using pre-trained checkpoints, allowing developers and researchers to leverage this technology effectively in practical applications.