What is vllm-deployment?
Deploy vLLM for high-performance LLM inference. Covers Docker CPU/GPU deployments and cloud VM provisioning with OpenAI-compatible API endpoints. Source: stakpak/community-paks.
·vllm-deployment
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vllm-deployment
✓Deploy vLLM for high-performance LLM inference. Covers Docker CPU/GPU deployments and cloud VM provisioning with OpenAI-compatible API endpoints.
Installation
How to Install vllm-deployment
Quickly install vllm-deployment AI skill to your development environment via command line
- Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
- Run Installation Command: Copy and run this command: npx skills add https://github.com/stakpak/community-paks --skill vllm-deployment
- Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Source: stakpak/community-paks.
SKILL.md
View raw| CPU | 2x model size | 4x model size | | GPU | Model size + 2GB | Model size + 4GB VRAM |
| VLLMCPUKVCACHESPACE | KV cache size in GB (CPU) | 4 | | VLLMCPUOMPTHREADSBIND | CPU core binding (CPU) | 0-7 | | CUDAVISIBLEDEVICES | GPU device selection | 0,1 | | HFTOKEN | HuggingFace authentication | hfxxx |
| --shm-size=4g | Shared memory for IPC | | --cap-add SYSNICE | NUMA optimization (CPU) | | --security-opt seccomp=unconfined | Memory policy syscalls (CPU) | | --gpus all | GPU access | | -p 8000:8000 | Port mapping |
Deploy vLLM for high-performance LLM inference. Covers Docker CPU/GPU deployments and cloud VM provisioning with OpenAI-compatible API endpoints. Source: stakpak/community-paks.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/stakpak/community-paks --skill vllm-deployment- Source
- stakpak/community-paks
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-26
- Updated
- 2026-03-10
Quick answers
How do I install vllm-deployment?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/stakpak/community-paks --skill vllm-deployment Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Where is the source repository?
https://github.com/stakpak/community-paks
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-26