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Qwen3.5-0.8B · Q3_K_S

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NVIDIA H100 80GB HBM380GBvLLM v0.31L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-0.8B (Q3_K_S) on NVIDIA H100 80GB HBM3 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

355.68 tok/s

Decode

Decode speed

1,952.96 tok/s

Prefill

Prefill speed

0.29 s

TTFT

Time to first token

3.19 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

17 days ago

Last verified

Performance

  1. llama.cpp · Q4_K_S Decode 340.19 · Prefill 1569.8 ·
  2. vLLM · IQ2_M Decode 294.68 · Prefill 1324.31 ·
  3. vLLM · Q3_K_S (current)Decode 355.68 · Prefill 1952.96 ·

Core figures

Decode (avg)
355.68 tok/s
Prefill (avg)
1,952.96 tok/s
TTFT (avg)
0.29 s
VRAM (avg)
3.19 GB
MTP acceptance rate
—
TTFB
2.85 GB
Power draw
645.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-0.8B
Quantization
Q3_K_S
Framework
vLLM
Version
v0.31
Context length
8192 tokens
Batch size
32
GPU layers
999
Flash Attention
Off

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)
3.19 GB
OS
Ubuntu 24.04
Driver
560.94
CUDA
13.0
Power draw
645.9 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

    v0.31 · Ubuntu 24.04 · CUDA 13.0 · 8192 ctx

    355.68 tok/s

    Decode

    1,952.96 tok/s

    Prefill

    0.29 s

    TTFT

    3.19 GB

    VRAM

    —

    MTP

    645.9 W

    Power draw

    L2 batch seed 2026-10-19: vLLM on hw_id=55 running model_id=51 at Q3_K_S