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Qwen3.5-4B · Q3_K_L

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Apple M2 UltravLLM v0.33L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-4B (Q3_K_L) on Apple M2 Ultra with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

164.19 tok/s

Decode

Decode speed

535.64 tok/s

Prefill

Prefill speed

0.5 s

TTFT

Time to first token

8.15 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 164.19 · Prefill 535.64 ·
  2. vLLM · Q3_K_S Decode 169.83 · Prefill 644.07 ·
  3. Ollama · FP16 Decode 60.62 · Prefill 204.54 ·
  4. Ollama · IQ2_M Decode 182.13 · Prefill 713.62 ·

Core figures

Decode (avg)
164.19 tok/s
Prefill (avg)
535.64 tok/s
TTFT (avg)
0.5 s
VRAM (avg)
8.15 GB
MTP acceptance rate
—
TTFB
1.31 GB
Power draw
27 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-4B
Quantization
Q3_K_L
Framework
vLLM
Version
v0.33
Context length
4096 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
Apple M2 Ultra
Measured VRAM (avg)
8.15 GB
OS
macOS 15.0
Driver
Apple M2 Ultra
CUDA
N/A
Power draw
27 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 · 4096 ctx

    164.19 tok/s

    Decode

    535.64 tok/s

    Prefill

    0.5 s

    TTFT

    8.15 GB

    VRAM

    —

    MTP

    27 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=103 running model_id=48 at Q3_K_L