Local AI · Recipe · 1× RTX 3090

Qwen3.6 27B Q4_K_M with llama.cpp on 1× RTX 3090

Qwen3.6 27B Q4_K_M with llama.cpp on 1× RTX 3090: 50.3 tok/s according to github.com (dataset as of Nov 3, 2026).

by noonghunna

50.3tok/sEveryday

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

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

Engine

Engine
llama.cpp server-cuda-b9246
Quantization
GGUF Q4_K_M MTP
Model family
Qwen3.6
Context
200,000
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)50.3 tok/sNarrativ-Prompt (800-Wort-Essay), mean wall TPS; @noonghunna, 2026-05-23 Source 
  • Peak (decode)58.9 tok/sCode-Prompt (Quicksort), mean wall TPS; @noonghunna, 2026-05-23 Source 

Prefill by context

  • Prompt not stated1,025 tok/s@noonghunna, 2026-05-23 Source 

What you need

Hardware
1 × NVIDIA RTX 3090
Weights
Engine
llama.cpp server-cuda-b9246
Context
200,000 tokens

Related recipes

← Back to overview

Local AI in your company?

In a workshop we work out which models and which hardware fit your tasks, and build the first agent on your infrastructure.