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Qwen3.8-9B · Q8_0

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NVIDIA RTX 309024GBOllama v0.22L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (Q8_0) on NVIDIA RTX 3090 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

46.15 tok/s

Decode

Decode speed

154.63 tok/s

Prefill

Prefill speed

2.37 s

TTFT

Time to first token

22.8 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · IQ2_XS Decode 98.31 · Prefill 360.63 ·
  2. llama.cpp · Q3_K_L Decode 79.17 · Prefill 416.87 ·
  3. Ollama · Q5_K_S Decode 58.86 · Prefill 223.43 ·
  4. Ollama · Q8_0 (current)Decode 46.15 · Prefill 154.63 ·
  5. llama.cpp · Q3_K_S Decode 130.89 · Prefill 575.17 ·
  6. Ollama · IQ4_XS Decode 98.13 · Prefill 496.33 ·

Core figures

Decode (avg)
46.15 tok/s
Prefill (avg)
154.63 tok/s
TTFT (avg)
2.37 s
VRAM (avg)
22.8 GB
MTP acceptance rate
—
TTFB
0.37 GB
Power draw
343.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
Q8_0
Framework
Ollama
Version
v0.22
Context length
32768 tokens
Batch size
512
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 3090
Nominal VRAM
24 GB
Measured VRAM (avg)
22.8 GB
OS
Windows 11 24H2
Driver
560.94
CUDA
12.4
Power draw
343.3 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

    v0.22 · Windows 11 24H2 · CUDA 12.4 · 32768 ctx

    46.15 tok/s

    Decode

    154.63 tok/s

    Prefill

    2.37 s

    TTFT

    22.8 GB

    VRAM

    —

    MTP

    343.3 W

    Power draw

    L2 batch seed 2026-10-18: Ollama on hw_id=2 running model_id=52 at Q8_0