vLLM

High-throughput LLM inference engine

High-Performance Inference with vLLM

vLLM provides fast and efficient LLM serving with PagedAttention.

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Installation

bash
pip install vllm

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Basic Usage

python
from vllm import LLM, SamplingParams

llm = LLM(model="meta-llama/Llama-2-7b-chat-hf")
sampling_params = SamplingParams(temperature=0.7, top_p=0.95, max_tokens=512)
outputs = llm.generate(["Tell me about AI"], sampling_params)

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Performance Features

  • PagedAttention for efficient memory management
  • Continuous batching for high throughput
  • Optimized CUDA kernels
  • Multi-GPU tensor parallelism support