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Qwen3.8-9B · IQ1_S

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NVIDIA RTX 4070 Ti12GBvLLM v0.55L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (IQ1_S) on NVIDIA RTX 4070 Ti with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

170.52 tok/s

Decode

Decode speed

868.4 tok/s

Prefill

Prefill speed

0.71 s

TTFT

Time to first token

10.04 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · IQ1_S (current)Decode 170.52 · Prefill 868.4 ·
  2. vLLM · Q2_K Decode 102.51 · Prefill 448.1 ·

Core figures

Decode (avg)
170.52 tok/s
Prefill (avg)
868.4 tok/s
TTFT (avg)
0.71 s
VRAM (avg)
10.04 GB
MTP acceptance rate
—
TTFB
1.36 GB
Power draw
309.1 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
IQ1_S
Framework
vLLM
Version
v0.55
Context length
16384 tokens
Batch size
8
GPU layers
999
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX 4070 Ti
Nominal VRAM
12 GB
Measured VRAM (avg)
10.04 GB
OS
Ubuntu 24.04
Driver
570.86
CUDA
12.4
Power draw
309.1 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

    v0.55 · Ubuntu 24.04 · CUDA 12.4 · 16384 ctx

    170.52 tok/s

    Decode

    868.4 tok/s

    Prefill

    0.71 s

    TTFT

    10.04 GB

    VRAM

    —

    MTP

    309.1 W

    Power draw

    L2 batch seed 2026-10-18: vLLM on hw_id=42 running model_id=52 at IQ1_S