Local AI · Recipe · 2× RTX 3090

Qwen3.6 27B AutoRound INT4 with vLLM on 2× RTX 3090

Qwen3.6 27B AutoRound INT4 with vLLM on 2× RTX 3090: 69.8 tok/s according to github.com (dataset as of Nov 3, 2026).

by noonghunna

69.8tok/sEveryday

1 request, prose prompt, with MTP (per recipe)

Source: github.com
Intelligence (original model) · Artificial Analysis21with thinkingno thinking 20

Engine

Engine
vLLM 0.25.1
Quantization
INT4 (AutoRound) + fp8 KV
Model family
Qwen3.6
Context
262,144
Parameters
27B dense
Creator
noonghunna
GitHub stars
2,471
Repo updated
Nov 2, 2026

Measurements

Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.

Decode · 1 request

  • Everyday (decode)69.8 tok/sNarrativ-Prompt (800-Wort-Essay), mean wall TPS; PCIe ohne NVLink Source 
  • Peak (decode)89.8 tok/sCode-Prompt (Quicksort), mean wall TPS; PCIe ohne NVLink Source 

Prefill by context

What you need

Hardware
2 × NVIDIA RTX 3090
Weights
Engine
vLLM 0.25.1
Context
262,144 tokens

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