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Qwen3.8-9B · Q3_K_S

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NVIDIA RTX 509032GBOllama v0.21L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (Q3_K_S) on NVIDIA RTX 5090 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

237.4 tok/s

Decode

Decode speed

1,150.93 tok/s

Prefill

Prefill speed

1.61 s

TTFT

Time to first token

14.38 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. Ollama · Q3_K_S (current)Decode 237.4 · Prefill 1150.93 ·
  2. Strata · Q3_K_L Decode 349.94 · Prefill 1124.59 ·
  3. vLLM · Q3_K_S Decode 286.31 · Prefill 1535.26 ·
  4. vLLM · Q8_0 Decode 152.59 · Prefill 801.24 ·
  5. Strata · IQ1_S Decode 313.75 · Prefill 1522.32 ·
  6. Ollama · IQ4_XS Decode 224.73 · Prefill 806.05 ·
  7. Ollama · Q5_K_S Decode 182.89 · Prefill 696.63 ·
  8. Strata · Q5_K_S Decode 276.86 · Prefill 910.66 ·

Core figures

Decode (avg)
237.4 tok/s
Prefill (avg)
1,150.93 tok/s
TTFT (avg)
1.61 s
VRAM (avg)
14.38 GB
MTP acceptance rate
—
TTFB
1.9 GB
Power draw
437.4 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
Q3_K_S
Framework
Ollama
Version
v0.21
Context length
16384 tokens
Batch size
256
GPU layers
20
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)
14.38 GB
OS
Ubuntu 24.04
Driver
565.57
CUDA
12.8
Power draw
437.4 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-18

    v0.21 · Ubuntu 24.04 · CUDA 12.8 · 16384 ctx

    237.4 tok/s

    Decode

    1,150.93 tok/s

    Prefill

    1.61 s

    TTFT

    14.38 GB

    VRAM

    —

    MTP

    437.4 W

    Power draw

    L2 batch seed 2026-10-18: Ollama on hw_id=13 running model_id=52 at Q3_K_S