vllm-project/vllm-skills
6 skills · 111 total installs
$npx skills add vllm-project/vllm-skillsSkillInstalls
vllm-bench-serveBenchmark vLLM or OpenAI-compatible serving endpoints using vllm bench serve. Supports multiple datasets (random, sharegpt, sonnet, HF), backends (openai, openai-chat, vllm-pooling, embeddings), throuvllm-bench-random-syntheticRun vLLM performance benchmark using synthetic random data to measure throughput, TTFT (Time to First Token), TPOT (Time per Output Token), and other key performance metrics. Use when the user wants tvllm-deploy-dockerDeploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server.vllm-deploy-k8sDeploy vLLM to Kubernetes (K8s) with GPU support, health probes, and OpenAI-compatible API endpoint. Use this skill whenever the user wants to deploy, run, or serve vLLM on a Kubernetes cluster, incluvllm-deploy-simpleQuick install and deploy vLLM, start serving with a simple LLM, and test OpenAI API.vllm-prefix-cache-benchThis is a skill for benchmarking the efficiency of automatic prefix caching in vLLM using fixed prompts, real-world datasets, or synthetic prefix/suffix patterns. Use when the user asks to benchmark p