Local AI · Recipe · 2× RTX 3090

Qwen3.6 27B Q4_K_M with llama.cpp on 2× RTX 3090

Qwen3.6 27B Q4_K_M with llama.cpp on 2× RTX 3090: 65.3 tok/s according to github.com (dataset as of Nov 3, 2026).

by alesha-pro

65.3tok/sPeak

1 request, best value reported by source

Source: github.com
Intelligence (original model) · Artificial Analysisno independent value

Engine

Engine
llama.cpp mainline build 10013 (a4ce2595c)
Quantization
GGUF Q4_K_M + q4_0 KV
Model family
Qwen3.6
Context
262,144
Parameters
27B dense
Creator
alesha-pro
GitHub stars
0
Repo updated
Aug 4, 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

  • Peak (decode)65.3 tok/scontext 0 (leerer Kontext) · 2x 262K ub1024 q4_0 MTP2 @350W; 220 W: 51.9 Source 

Prefill by context

What you need

Hardware
2 × NVIDIA RTX 3090
Weights
Engine
llama.cpp mainline build 10013 (a4ce2595c)
Context
262,144 tokens

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