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Getting Started

Installation
Quickstart
Examples
Troubleshooting
Frequently Asked Questions
vLLM V1 User Guide

Models

Supported Models
Generative Models
Pooling Models
Built-in Extensions

Features

Quantization
- Supported Hardware
- AutoAWQ
- BitsAndBytes
- BitBLAS
- GGUF
- GPTQModel
- INT4 W4A16
- INT8 W8A8
- FP8 W8A8
- AMD QUARK
- Quantized KV Cache
- TorchAO
LoRA Adapters
Tool Calling
Reasoning Outputs
Structured Outputs
Automatic Prefix Caching
Disaggregated Prefilling (experimental)
Speculative Decoding
Compatibility Matrix

Training

Transformers Reinforcement Learning
Reinforcement Learning from Human Feedback

Inference and Serving

Offline Inference
OpenAI-Compatible Server
Multimodal Inputs
Distributed Inference and Serving
Production Metrics
Engine Arguments
Environment Variables
Usage Stats Collection
External Integrations
- LangChain
- LlamaIndex

Deployment

Security Guide
Using Docker
Using Kubernetes
Using Nginx
Using other frameworks
- Anything LLM
- BentoML
- Cerebrium
- dstack
- Helm
- LWS
- Modal
- Open WebUI
- SkyPilot
- NVIDIA Triton
External Integrations
- KServe
- KubeAI
- Llama Stack
- llmaz
- Production stack

Performance

Optimization and Tuning
Benchmark Suites

Design Documents

Architecture Overview
Integration with HuggingFace
vLLM’s Plugin System
vLLM Paged Attention
Multi-Modal Data Processing
Automatic Prefix Caching
Python Multiprocessing

V1 Design Documents

vLLM’s torch.compile integration
Automatic Prefix Caching
Metrics

Developer Guide

Contributing to vLLM
Profiling vLLM
Dockerfile
Adding a New Model
Vulnerability Management

API Reference

Offline Inference
- LLM Class
- LLM Inputs
vLLM Engine
- LLMEngine
- AsyncLLMEngine
Inference Parameters
Multi-Modality
Model Development

Community

vLLM Blog
vLLM Meetups
Sponsors

Repository
Suggest edit

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Using other frameworks

Using other frameworks#

Anything LLM
BentoML
Cerebrium
dstack
Helm
LWS
Modal
Open WebUI
SkyPilot
NVIDIA Triton

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Using Nginx

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Anything LLM

By the vLLM Team

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