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Qwen3.5-4B · Q3_K_S

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NVIDIA H100 80GB HBM380GBvLLM v0.34L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-4B (Q3_K_S) on NVIDIA H100 80GB HBM3 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

362.27 tok/s

Decode

Decode speed

1,696.48 tok/s

Prefill

Prefill speed

1.81 s

TTFT

Time to first token

7.56 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

16 days ago

Last verified

Performance

  1. vLLM · IQ3_S Decode 329.61 · Prefill 1536.04 ·
  2. vLLM · Q3_K_S (current)Decode 362.27 · Prefill 1696.48 ·
  3. Strata · Q2_K Decode 373.13 · Prefill 1907.75 ·

Core figures

Decode (avg)
362.27 tok/s
Prefill (avg)
1,696.48 tok/s
TTFT (avg)
1.81 s
VRAM (avg)
7.56 GB
MTP acceptance rate
—
TTFB
2.9 GB
Power draw
571.5 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-4B
Quantization
Q3_K_S
Framework
vLLM
Version
v0.34
Context length
4096 tokens
Batch size
16
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 H100 80GB HBM3
Nominal VRAM
80 GB
Measured VRAM (avg)
7.56 GB
OS
Ubuntu 22.04
Driver
560.94
CUDA
12.8
Power draw
571.5 W

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.34 · Ubuntu 22.04 · CUDA 12.8 · 4096 ctx

    362.27 tok/s

    Decode

    1,696.48 tok/s

    Prefill

    1.81 s

    TTFT

    7.56 GB

    VRAM

    —

    MTP

    571.5 W

    Power draw

    L2 batch seed 2026-10-19: vLLM on hw_id=55 running model_id=48 at Q3_K_S