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vLLM - Home

Getting Started

  • Installation
  • Installation with ROCm
  • Installation with Neuron
  • Installation with CPU
  • Quickstart
  • Examples
    • API Client
    • Aqlm Example
    • Gradio OpenAI Chatbot Webserver
    • Gradio Webserver
    • Llava Example
    • LLM Engine Example
    • MultiLoRA Inference
    • Offline Inference
    • Offline Inference Distributed
    • Offline Inference Neuron
    • Offline Inference With Prefix
    • OpenAI Chat Completion Client
    • OpenAI Completion Client
    • Tensorize vLLM Model

Serving

  • OpenAI Compatible Server
  • Deploying with Docker
  • Distributed Inference and Serving
  • Production Metrics
  • Usage Stats Collection
  • Integrations
    • Deploying and scaling up with SkyPilot
    • Deploying with KServe
    • Deploying with NVIDIA Triton
    • Deploying with BentoML
    • Serving with Langchain

Models

  • Supported Models
  • Adding a New Model
  • Engine Arguments
  • Using LoRA adapters

Quantization

  • AutoAWQ
  • FP8 E5M2 KV Cache
  • FP8 E4M3 KV Cache

Developer Documentation

  • Sampling Params
  • vLLM Engine
    • LLMEngine
    • AsyncLLMEngine
  • vLLM Paged Attention
  • .rst

Examples

Examples#

Scripts

  • API Client
  • Aqlm Example
  • Gradio OpenAI Chatbot Webserver
  • Gradio Webserver
  • Llava Example
  • LLM Engine Example
  • MultiLoRA Inference
  • Offline Inference
  • Offline Inference Distributed
  • Offline Inference Neuron
  • Offline Inference With Prefix
  • OpenAI Chat Completion Client
  • OpenAI Completion Client
  • Tensorize vLLM Model

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API Client

By the vLLM Team

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