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vLLM: high-throughput LLM inference server v1.0.0

Use this resource to deploy an LLM inference server with vLLM

New

  • 531 downloads
  • 143 likes
  • 218 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install vllm-llm-inference-server

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent installs vLLM, serves an open model behind an OpenAI-compatible API, then sets multi-GPU tensor parallelism and quantization. You get launch commands, a Docker Compose file and the key options.

Mostly picked by

Updated November 2, 2026

Card for the “vLLM: high-throughput LLM inference server” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: installation, model serving and endpoint testing
  • SKILL.md: Docker Compose, configuration options and multi-GPU parallelism

Good fit for

  • You host an open model for many users
  • You want an OpenAI-compatible API on your own GPUs

Not for

    Tags

    • vllm
    • inference
    • llm
    • gpu
    • api

    About

    You say

    “Serve Mistral 7B with vLLM on my GPU and expose an OpenAI-compatible API.”

    Card for the “vLLM: high-throughput LLM inference server” skill

    Skill published by bagelhole under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to deploy an LLM inference server with vLLM
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.3 KB

    Origin and licence

    Listed unmodified

    Author
    bagelhole
    Source
    github.com/bagelhole/devops-security-agent-skills/tree/0365f57a079b1332f95cf26e31dd2d5332a8399f/infrastructure/local-ai/vllm-server
    Licence
    MIT

    Notice

    « vllm-server » (bagelhole, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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