`vllm-rs` CLI Quick Start

Start Qwen3 with one managed vllm-rs serve command from the repo root:

bash

HF_HUB_OFFLINE=1 \
VLLM_CPU_KVCACHE_SPACE=2 \
VLLM_HOST_IP=127.0.0.1 \
VLLM_LOOPBACK_IP=127.0.0.1 \
cargo run --bin vllm-rs -- serve \
  Qwen/Qwen3-0.6B \
  --python ../vllm/.venv/bin/python \
  --max-model-len 512 \
  -- \
  --dtype float16

This launches:

a managed headless Python vllm engine
the Rust OpenAI-compatible frontend on 127.0.0.1:8000

All Python engine arguments must be placed after --. Arguments before -- are parsed by the Rust frontend itself.

You can then send OpenAI-style requests to the Rust frontend:

bash

curl http://127.0.0.1:8000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen/Qwen3-0.6B",
    "messages": [{"role": "user", "content": "What is the capital of France?"}],
    "stream": true
  }'

If you already started headless vllm yourself, use frontend instead:

bash

cargo run --bin vllm-rs -- frontend \
  --handshake-address tcp://127.0.0.1:62100 \
  Qwen/Qwen3-0.6B

`vllm-rs` CLI Quick Start

vllm-rs CLI Quick Start

`vllm-rs` CLI Quick Start