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vLLM High-Throughput LLM Serving Engine with PagedAttention

vLLM is a fast and memory-efficient inference and serving engine for large language models. It uses PagedAttention for efficient memory management, supports continuous batching, and provides an OpenAI-compatible API server for production-grade LLM deployment.

agentskillexchange Updated 28 repo stars
AI & ML

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vLLM High-Throughput LLM Serving Engine with PagedAttention

vLLM is a fast and memory-efficient inference and serving engine for large language models. It uses PagedAttention for efficient memory management, supports continuous batching, and provides an OpenAI-compatible API server for production-grade LLM deployment.

Installation

No source-backed install or usage instructions could be extracted automatically. Review the upstream project before running this skill in a sensitive workflow.

Source

agentskillexchange/skills/tree/main/skills/vllm-high-throughput-llm-serving commit 7001d9e687

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npx skillmds@latest add agentskillexchange/vllm-high-throughput-llm-serving-engine-with-pagedattention