Arao AI
Back to search results

Qwen3.8-9B · Q5_K_S

Start a discussion
NVIDIA RTX 509032GBOllama v0.45L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (Q5_K_S) on NVIDIA RTX 5090 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

182.89 tok/s

Decode

Decode speed

696.63 tok/s

Prefill

Prefill speed

0.82 s

TTFT

Time to first token

19.11 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. Ollama · IQ4_XS Decode 224.73 · Prefill 806.05 ·
  2. Ollama · Q5_K_S (current)Decode 182.89 · Prefill 696.63 ·
  3. Strata · IQ1_S Decode 329.29 · Prefill 1427.88 ·
  4. Strata · Q5_K_S Decode 276.86 · Prefill 910.66 ·

Core figures

Decode (avg)
182.89 tok/s
Prefill (avg)
696.63 tok/s
TTFT (avg)
0.82 s
VRAM (avg)
19.11 GB
MTP acceptance rate
—
TTFB
1.46 GB
Power draw
476.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
Q5_K_S
Framework
Ollama
Version
v0.45
Context length
32768 tokens
Batch size
256
GPU layers
33
Flash Attention
On

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)
19.11 GB
OS
Windows 11 23H2
Driver
560.94
CUDA
12.8
Power draw
476.9 W

Sources & evidence

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

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

    v0.45 · Windows 11 23H2 · CUDA 12.8 · 32768 ctx

    182.89 tok/s

    Decode

    696.63 tok/s

    Prefill

    0.82 s

    TTFT

    19.11 GB

    VRAM

    —

    MTP

    476.9 W

    Power draw

    L2 batch seed 2026-10-10: Ollama on hw_id=13 running model_id=52 at Q5_K_S