vLLM/Recipes
Qwen

Qwen/Qwen3.5-2B

Qwen3.5 mini dense multimodal model (2B) — edge / low-VRAM serving with 262K context

View on HuggingFace
dense2B262,144 ctxvLLM 0.17.0+multimodaltext
Guide

Overview

Qwen3.5-2B is a miniature dense Qwen3.5 model — the full gated delta networks architecture, vision encoder, and 262K context, in a form small enough for 8 GB consumer GPUs or edge inference.

Prerequisites

  • vLLM version: >= 0.17.0
  • Hardware: single 8 GB GPU

Install vLLM

uv venv
source .venv/bin/activate
uv pip install -U vllm --torch-backend=auto

Launching the Server

vllm serve Qwen/Qwen3.5-2B \
  --max-model-len 262144 \
  --reasoning-parser qwen3

Client Usage

from openai import OpenAI

client = OpenAI(api_key="EMPTY", base_url="http://localhost:8000/v1")
resp = client.chat.completions.create(
    model="Qwen/Qwen3.5-2B",
    messages=[{"role": "user", "content": "Hi!"}],
    max_tokens=64,
)
print(resp.choices[0].message.content)

References