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backenddevelopment

serving-llms-vllm

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.

math-inc
maintainer
math-inc
Atualizado 3/19/2026
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1165
Forks
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quick start

Installation and usage

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.

Instalação
$ install --globalskills.sh
Uso

Depois de instalar, você pode usar esta skill executando o seguinte comando no terminal:

skills use serving-llms-vllm