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Qwen2.5-0.5B-Instruct · Q5_K_S

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AMD Strix Halo (Radeon 8060S)vLLM v0.33L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen2.5-0.5B-Instruct (Q5_K_S) on AMD Strix Halo (Radeon 8060S) with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

228.54 tok/s

Decode

Decode speed

950.08 tok/s

Prefill

Prefill speed

2.25 s

TTFT

Time to first token

3.04 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 · FP16 Decode 124.48 · Prefill 656.36 ·
  2. llama.cpp · Q6_K Decode 171.39 · Prefill 894.49 ·
  3. vLLM · Q5_K_S (current)Decode 228.54 · Prefill 950.08 ·

Core figures

Decode (avg)
228.54 tok/s
Prefill (avg)
950.08 tok/s
TTFT (avg)
2.25 s
VRAM (avg)
3.04 GB
MTP acceptance rate
—
TTFB
1.83 GB
Power draw
85 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen2.5-0.5B-Instruct
Quantization
Q5_K_S
Framework
vLLM
Version
v0.33
Context length
2048 tokens
Batch size
16
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
AMD Strix Halo (Radeon 8060S)
Measured VRAM (avg)
3.04 GB
OS
macOS 15.0
Driver
565.57
CUDA
N/A
Power draw
85 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

    v0.33 · macOS 15.0 · CUDA N/A · 2048 ctx

    228.54 tok/s

    Decode

    950.08 tok/s

    Prefill

    2.25 s

    TTFT

    3.04 GB

    VRAM

    —

    MTP

    85 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=87 running model_id=59 at Q5_K_S