Arao AI
Back to search results

Qwen3-8B · Q8_0

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

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

48.02 tok/s

Decode

Decode speed

169.17 tok/s

Prefill

Prefill speed

0.18 s

TTFT

Time to first token

21.42 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · IQ3_XS Decode 108.64 · Prefill 552.19 ·
  2. Ollama · IQ4_XS Decode 96.65 · Prefill 382.18 ·
  3. Ollama · Q8_0 (current)Decode 48.02 · Prefill 169.17 ·
  4. Strata · Q5_K_S Decode 138.04 · Prefill 495.5 ·
  5. llama.cpp · Q8_0 Decode 84.9 · Prefill 636.8 ·
  6. llama.cpp · Q5_K_M Decode 123.7 · Prefill 927.8 ·
  7. llama.cpp · Q4_K_M Decode 149 · Prefill 1117.5 ·

Core figures

Decode (avg)
48.02 tok/s
Prefill (avg)
169.17 tok/s
TTFT (avg)
0.18 s
VRAM (avg)
21.42 GB
MTP acceptance rate
—
TTFB
0.38 GB
Power draw
259.2 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-8B
Quantization
Q8_0
Framework
Ollama
Version
v0.22
Context length
8192 tokens
Batch size
512
GPU layers
99
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)
21.42 GB
OS
Ubuntu 24.04
Driver
570.86
CUDA
12.4
Power draw
259.2 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 · Ubuntu 24.04 · CUDA 12.4 · 8192 ctx

    48.02 tok/s

    Decode

    169.17 tok/s

    Prefill

    0.18 s

    TTFT

    21.42 GB

    VRAM

    —

    MTP

    259.2 W

    Power draw

    L2 batch seed 2026-10-18: Ollama on hw_id=2 running model_id=53 at Q8_0