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Qwen3.5-27B · Q4_K_M

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NVIDIA RTX 509032GBllama.cpp b10741L1 Reproduced

This page aggregates 1 real-world runs of Qwen3.5-27B (Q4_K_M) on NVIDIA RTX 5090 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

30.09 tok/s

Decode

Decode speed

1,515.83 tok/s

Prefill

Prefill speed

— s

TTFT

Time to first token

— GB

VRAM

VRAM usage

L1 Reproduced

1

Measured runs

1

Independent sources

GitHub

Source platforms

Yesterday

Last verified

Performance

  1. llama.cpp · Q4_K_M (current)Decode 30.09 · Prefill 1515.83 ·

Core figures

Decode (avg)
30.09 tok/s
Prefill (avg)
1,515.83 tok/s
TTFT (avg)
— s
VRAM (avg)
— GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-27B
Quantization
Q4_K_M
Framework
llama.cpp
Version
b10741

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
NVIDIA RTX 5090
Nominal VRAM
32 GB
OS
Windows 11

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L1 ReproducedGitHubOriginal link Verified on 2026-10-02

    b10741 · Windows 11

    30.09 tok/s

    Decode

    1,515.83 tok/s

    Prefill

    — s

    TTFT

    0 GB

    VRAM

    —

    MTP

    — W

    Power draw

    qwen35 27B Q4_K_M | pp1024 | 1515.83 ± 47.03; qwen35 27B Q4_K_M | tg400 | 30.09 ± 0.44