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Qwen3.8-9B · Q3_K_M

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NVIDIA RTX 4080 Super16GBOllama v0.54L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (Q3_K_M) on NVIDIA RTX 4080 Super with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

141.22 tok/s

Decode

Decode speed

455.03 tok/s

Prefill

Prefill speed

0.79 s

TTFT

Time to first token

14.95 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · IQ1_S Decode 204.16 · Prefill 1111.21 ·
  2. Ollama · IQ2_XS Decode 174.28 · Prefill 597.11 ·
  3. Ollama · Q3_K_M (current)Decode 141.22 · Prefill 455.03 ·

Core figures

Decode (avg)
141.22 tok/s
Prefill (avg)
455.03 tok/s
TTFT (avg)
0.79 s
VRAM (avg)
14.95 GB
MTP acceptance rate
—
TTFB
1.13 GB
Power draw
213.4 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
Q3_K_M
Framework
Ollama
Version
v0.54
Context length
2048 tokens
Batch size
256
GPU layers
28
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX 4080 Super
Nominal VRAM
16 GB
Measured VRAM (avg)
14.95 GB
OS
Windows 11 23H2
Driver
572.83
CUDA
12.4
Power draw
213.4 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

    v0.54 · Windows 11 23H2 · CUDA 12.4 · 2048 ctx

    141.22 tok/s

    Decode

    455.03 tok/s

    Prefill

    0.79 s

    TTFT

    14.95 GB

    VRAM

    —

    MTP

    213.4 W

    Power draw

    L2 batch seed 2026-10-18: Ollama on hw_id=20 running model_id=52 at Q3_K_M