Local AI · Recipe · 4× RTX 3090

Qwen3.6 27B INT4 with vLLM on 4× RTX 3090

Qwen3.6 27B INT4 with vLLM on 4× RTX 3090: 105 tok/s according to github.com (dataset as of Nov 3, 2026).

by noonghunna

105tok/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 + int8-per-token-head 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)105 tok/sNarrativ-Prompt (800-Wort-Essay), mean wall TPS; @Whamp, 230 W, P2P via NCCL Source 
  • Peak (decode)138 tok/sCode-Prompt (Quicksort), mean wall TPS; @Whamp, 230 W, P2P via NCCL Source 

What you need

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

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