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Qwen3-1.7B · Q5_K_M

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NVIDIA DGX Spark128GBvLLM v0.54L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-1.7B (Q5_K_M) on NVIDIA DGX Spark with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

240.21 tok/s

Decode

Decode speed

1,012.49 tok/s

Prefill

Prefill speed

2.34 s

TTFT

Time to first token

5.42 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. vLLM · Q2_K Decode 374.76 · Prefill 1672.78 ·
  2. vLLM · Q5_K_M (current)Decode 240.21 · Prefill 1012.49 ·
  3. Strata · IQ3_XS Decode 315.95 · Prefill 1231.57 ·
  4. Strata · Q4_K_S Decode 375.7 · Prefill 1600.4 ·
  5. llama.cpp · Q6_K Decode 210 · Prefill 1074.66 ·
  6. vLLM · Q3_K_M Decode 331.74 · Prefill 1116.84 ·

Core figures

Decode (avg)
240.21 tok/s
Prefill (avg)
1,012.49 tok/s
TTFT (avg)
2.34 s
VRAM (avg)
5.42 GB
MTP acceptance rate
—
TTFB
1.92 GB
Power draw
209.2 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-1.7B
Quantization
Q5_K_M
Framework
vLLM
Version
v0.54
Context length
4096 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 DGX Spark
Nominal VRAM
128 GB
Measured VRAM (avg)
5.42 GB
OS
macOS 15.0
Driver
565.57
CUDA
12.8
Power draw
209.2 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-16

    v0.54 · macOS 15.0 · CUDA 12.8 · 4096 ctx

    240.21 tok/s

    Decode

    1,012.49 tok/s

    Prefill

    2.34 s

    TTFT

    5.42 GB

    VRAM

    —

    MTP

    209.2 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=54 running model_id=55 at Q5_K_M