vLLM Command Generator

Generate copy-ready vLLM startup commands based on your hardware and model. Supports native, Docker, and docker-compose formats.

1Select Model

2Select Hardware

3Adjust Parameters

Model Choose from the preset library, or enter a custom model below Quantization Custom Model Path (optional, overrides selection above) HuggingFace model ID or absolute local path

GPU Type GPU Count VRAM Utilization Recommended 0.85–0.9, do not exceed 0.92 in production

Served Model Name Context Length Auto-filled with model recommendation, lower if needed Concurrency Data Type (dtype) KV Cache Data Type Port Host

Enable Prefix Caching --enable-prefix-caching, ideal for multi-turn conversations

Enable Chunked Prefill --enable-chunked-prefill, improves throughput

vLLM Command Generator

Model & Quantization

Hardware Configuration

Serving Parameters

Advanced Toggles

Generated Result

vLLM Command Generator

Model & Quantization

Hardware Configuration

Serving Parameters

Advanced Toggles

Generated Result

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