vLLM 深度指南：高性能 LLM 推理服务

vLLM 核心创新：PagedAttention

from vllm import LLM, SamplingParams
llm = LLM(model="meta-llama/Llama-2-7b-hf")
sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
outputs = llm.generate(["Hello, how are you?"], sampling_params)

from vllm import LLM, SamplingParams

llm = LLM(model="meta-llama/Llama-2-7b-hf")

sampling_params = SamplingParams(temperature=0.8, top_p=0.95)

outputs = llm.generate(["Hello, how are you?"], sampling_params)

vLLM 相比 HF 原生推理，吞吐量提升 10-20 倍。