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Qwen2.5-0.5B-Instruct · Q4_K_S

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Apple M2 UltravLLM v0.54L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen2.5-0.5B-Instruct (Q4_K_S) on Apple M2 Ultra with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

318.45 tok/s

Decode

Decode speed

1,454.37 tok/s

Prefill

Prefill speed

0.76 s

TTFT

Time to first token

2.92 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 · Q4_K_S (current)Decode 318.45 · Prefill 1454.37 ·
  2. Ollama · Q2_K Decode 393.85 · Prefill 1387.41 ·
  3. Ollama · Q4_K_M Decode 265.57 · Prefill 1148.27 ·

Core figures

Decode (avg)
318.45 tok/s
Prefill (avg)
1,454.37 tok/s
TTFT (avg)
0.76 s
VRAM (avg)
2.92 GB
MTP acceptance rate
—
TTFB
2.55 GB
Power draw
45.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen2.5-0.5B-Instruct
Quantization
Q4_K_S
Framework
vLLM
Version
v0.54
Context length
8192 tokens
Batch size
32
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
Apple M2 Ultra
Measured VRAM (avg)
2.92 GB
OS
macOS 15.0
Driver
Apple M2 Ultra
CUDA
N/A
Power draw
45.8 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 N/A · 8192 ctx

    318.45 tok/s

    Decode

    1,454.37 tok/s

    Prefill

    0.76 s

    TTFT

    2.92 GB

    VRAM

    —

    MTP

    45.8 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=103 running model_id=59 at Q4_K_S