vLLM

Overview

vLLM is a fast and easy-to-use library for LLM inference and serving. It uses PagedAttention—an attention algorithm that manages attention key and value memory with near-zero waste.

Features

• PagedAttention: Efficient memory management for long sequences.
• High Throughput: Up to 24x higher throughput than HuggingFace Transformers.
• Broad Model Support: Supports Llama, Mistral, Mixtral, Qwen, etc.

Use Cases

• Deploying private LLM APIs.
• Cost-efficient serving of high-traffic AI applications.
• Experimenting with modern attention-optimization techniques.