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Qwen2.5-0.5B-Instruct · Q3_K_L

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Apple M2 ProvLLM v0.24L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen2.5-0.5B-Instruct (Q3_K_L) on Apple M2 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

248.22 tok/s

Decode

Decode speed

810.72 tok/s

Prefill

Prefill speed

0.92 s

TTFT

Time to first token

2.86 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_L (current)Decode 248.22 · Prefill 810.72 ·
  2. Ollama · Q5_K_S Decode 165.81 · Prefill 551.58 ·
  3. Ollama · Q8_0 Decode 140.52 · Prefill 749.46 ·

Core figures

Decode (avg)
248.22 tok/s
Prefill (avg)
810.72 tok/s
TTFT (avg)
0.92 s
VRAM (avg)
2.86 GB
MTP acceptance rate
—
TTFB
1.99 GB
Power draw
21.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen2.5-0.5B-Instruct
Quantization
Q3_K_L
Framework
vLLM
Version
v0.24
Context length
8192 tokens
Batch size
16
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
Apple M2 Pro
Measured VRAM (avg)
2.86 GB
OS
macOS 15.0
Driver
Apple M2 Pro
CUDA
N/A
Power draw
21.8 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

    v0.24 · macOS 15.0 · CUDA N/A · 8192 ctx

    248.22 tok/s

    Decode

    810.72 tok/s

    Prefill

    0.92 s

    TTFT

    2.86 GB

    VRAM

    —

    MTP

    21.8 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=102 running model_id=59 at Q3_K_L