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Qwen3.5-9B · IQ2_M

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NVIDIA DGX Spark128GBvLLM v0.41L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-9B (IQ2_M) on NVIDIA DGX Spark with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

210.69 tok/s

Decode

Decode speed

1,114.84 tok/s

Prefill

Prefill speed

0.7 s

TTFT

Time to first token

11.93 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. llama.cpp · Q6_K Decode 110.08 · Prefill 496.59 ·
  2. Strata · Q3_K_M Decode 209.28 · Prefill 1036.76 ·
  3. llama.cpp · IQ2_M Decode 181.94 · Prefill 684.54 ·
  4. vLLM · IQ2_M (current)Decode 210.69 · Prefill 1114.84 ·
  5. vLLM · Q8_0 Decode 101.73 · Prefill 523.44 ·

Core figures

Decode (avg)
210.69 tok/s
Prefill (avg)
1,114.84 tok/s
TTFT (avg)
0.7 s
VRAM (avg)
11.93 GB
MTP acceptance rate
—
TTFB
1.69 GB
Power draw
249.7 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-9B
Quantization
IQ2_M
Framework
vLLM
Version
v0.41
Context length
4096 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 DGX Spark
Nominal VRAM
128 GB
Measured VRAM (avg)
11.93 GB
OS
Ubuntu 24.04
Driver
570.86
CUDA
12.8
Power draw
249.7 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-13

    v0.41 · Ubuntu 24.04 · CUDA 12.8 · 4096 ctx

    210.69 tok/s

    Decode

    1,114.84 tok/s

    Prefill

    0.7 s

    TTFT

    11.93 GB

    VRAM

    —

    MTP

    249.7 W

    Power draw

    L2 batch seed 2026-10-13: vLLM on hw_id=54 running model_id=49 at IQ2_M