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Qwen3.5-9B · Q5_K_M

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NVIDIA RTX 509032GBOllama v0.34L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-9B (Q5_K_M) on NVIDIA RTX 5090 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

166 tok/s

Decode

Decode speed

599.13 tok/s

Prefill

Prefill speed

2.05 s

TTFT

Time to first token

19.68 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. llama.cpp · Q2_K Decode 277.25 · Prefill 1119.33 ·
  2. Ollama · Q5_K_M (current)Decode 166 · Prefill 599.13 ·

Core figures

Decode (avg)
166 tok/s
Prefill (avg)
599.13 tok/s
TTFT (avg)
2.05 s
VRAM (avg)
19.68 GB
MTP acceptance rate
—
TTFB
1.33 GB
Power draw
469.4 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-9B
Quantization
Q5_K_M
Framework
Ollama
Version
v0.34
Context length
2048 tokens
Batch size
512
GPU layers
28
Flash Attention
Off

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
Measured VRAM (avg)
19.68 GB
OS
Ubuntu 24.04
Driver
570.86
CUDA
12.6
Power draw
469.4 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-16

    v0.34 · Ubuntu 24.04 · CUDA 12.6 · 2048 ctx

    166 tok/s

    Decode

    599.13 tok/s

    Prefill

    2.05 s

    TTFT

    19.68 GB

    VRAM

    —

    MTP

    469.4 W

    Power draw

    L2 batch seed 2026-10-16: Ollama on hw_id=13 running model_id=49 at Q5_K_M