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Qwen3-8B · IQ1_S

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NVIDIA RTX 508016GBStrata v0.23L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-8B (IQ1_S) on NVIDIA RTX 5080 with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.

376.58 tok/s

Decode

Decode speed

1,681.2 tok/s

Prefill

Prefill speed

1.08 s

TTFT

Time to first token

9.16 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. Ollama · Q5_K_S Decode 128.2 · Prefill 585.03 ·
  2. Strata · IQ1_S (current)Decode 376.58 · Prefill 1681.2 ·
  3. llama.cpp · Q5_K_S Decode 91.75 · Prefill 454.66 ·
  4. Ollama · Q3_K_L Decode 101.88 · Prefill 405.42 ·
  5. Strata · IQ4_XS Decode 144.31 · Prefill 545.08 ·

Core figures

Decode (avg)
376.58 tok/s
Prefill (avg)
1,681.2 tok/s
TTFT (avg)
1.08 s
VRAM (avg)
9.16 GB
MTP acceptance rate
0.51
TTFB
3.01 GB
Power draw
293.4 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-8B
Quantization
IQ1_S
Framework
Strata
Version
v0.23
Context length
8192 tokens
Batch size
256
GPU layers
8
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX 5080
Nominal VRAM
16 GB
Measured VRAM (avg)
9.16 GB
OS
Ubuntu 22.04
Driver
565.57
CUDA
12.8
Power draw
293.4 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

    v0.23 · Ubuntu 22.04 · CUDA 12.8 · 8192 ctx

    376.58 tok/s

    Decode

    1,681.2 tok/s

    Prefill

    1.08 s

    TTFT

    9.16 GB

    VRAM

    0.51

    MTP

    293.4 W

    Power draw

    L2 batch seed 2026-10-18: Strata on hw_id=14 running model_id=53 at IQ1_S