Unverified90% confidenceFactTime unknown

vLLM由加州大学伯克利分校开发，其核心创新PagedAttention技术相比原生HuggingFace Transformers推理可实现数倍到数十倍的吞吐量提升

1

Sources

90%

Confidence

Long-term

Relevance

6/1/2026

First Seen

Sources

GPT-OSS 120B/20B开源模型深度测评：幻觉、推理、代码全面实测

bilibiliAI超元域

Related Entities

vLLMproduct 加州大学伯克利分校company PagedAttentionconcept HuggingFacecompany

Related Claims

UnverifiedvLLM相比已有优化的FasterTransformer有3.5倍以上的吞吐提升68% similar UnverifiedTransformers库集成了GPTQ、AWQ、bitsandbytes等量化技术和Flash Attention加速方案65% similar UnverifiedvLLM结合连续批处理策略，在相同硬件上的吞吐量较Hugging Face原生实现提升可达24倍62% similar

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