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Qwen2.5-Omni-3B · Q6_K

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2x AMD Strix HalovLLM v0.37L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen2.5-Omni-3B (Q6_K) on 2x AMD Strix Halo with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

171.22 tok/s

Decode

Decode speed

756.33 tok/s

Prefill

Prefill speed

1.1 s

TTFT

Time to first token

8.4 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. llama.cpp · IQ2_XS Decode 273.09 · Prefill 1000.97 ·
  2. llama.cpp · IQ3_S Decode 239.07 · Prefill 794.3 ·
  3. vLLM · Q5_K_M Decode 183.47 · Prefill 864.96 ·
  4. vLLM · Q6_K (current)Decode 171.22 · Prefill 756.33 ·

Core figures

Decode (avg)
171.22 tok/s
Prefill (avg)
756.33 tok/s
TTFT (avg)
1.1 s
VRAM (avg)
8.4 GB
MTP acceptance rate
—
TTFB
1.37 GB
Power draw
72.1 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen2.5-Omni-3B
Quantization
Q6_K
Framework
vLLM
Version
v0.37
Context length
32768 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
2x AMD Strix Halo
Measured VRAM (avg)
8.4 GB
OS
Ubuntu 22.04
Driver
560.94
CUDA
N/A
Power draw
72.1 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

    v0.37 · Ubuntu 22.04 · CUDA N/A · 32768 ctx

    171.22 tok/s

    Decode

    756.33 tok/s

    Prefill

    1.1 s

    TTFT

    8.4 GB

    VRAM

    —

    MTP

    72.1 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=88 running model_id=60 at Q6_K