Back to search results

Qwen3-8B · Q3_K_M

Start a discussion
NVIDIA DGX Spark128GBvLLM v0.45L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-8B (Q3_K_M) on NVIDIA DGX Spark with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

167.2 tok/s

Decode

Decode speed

861.79 tok/s

Prefill

Prefill speed

1.29 s

TTFT

Time to first token

13.52 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 · Q3_K_M (current)Decode 167.2 · Prefill 861.79 ·
  2. Strata · Q5_K_S Decode 197.21 · Prefill 856.13 ·
  3. llama.cpp · Q4_K_M Decode 146.4 · Prefill 699.64 ·
  4. vLLM · IQ4_XS Decode 168.28 · Prefill 770.17 ·

Core figures

Decode (avg)
167.2 tok/s
Prefill (avg)
861.79 tok/s
TTFT (avg)
1.29 s
VRAM (avg)
13.52 GB
MTP acceptance rate
—
TTFB
1.34 GB
Power draw
251.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-8B
Quantization
Q3_K_M
Framework
vLLM
Version
v0.45
Context length
4096 tokens
Batch size
8
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)
13.52 GB
OS
macOS 15.0
Driver
570.86
CUDA
12.8
Power draw
251.9 W

Sources & evidence

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

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

    v0.45 · macOS 15.0 · CUDA 12.8 · 4096 ctx

    167.2 tok/s

    Decode

    861.79 tok/s

    Prefill

    1.29 s

    TTFT

    13.52 GB

    VRAM

    —

    MTP

    251.9 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=54 running model_id=53 at Q3_K_M