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Qwen3.5-0.8B · IQ3_XS

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Apple M1 ProvLLM v0.55L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-0.8B (IQ3_XS) on Apple M1 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

221.94 tok/s

Decode

Decode speed

834.89 tok/s

Prefill

Prefill speed

1.34 s

TTFT

Time to first token

3.14 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 · FP16 Decode 88.25 · Prefill 446.82 ·
  2. vLLM · IQ3_XS (current)Decode 221.94 · Prefill 834.89 ·
  3. Strata · IQ4_XS Decode 263.91 · Prefill 1056.07 ·
  4. Strata · Q6_K Decode 165.63 · Prefill 531.23 ·

Core figures

Decode (avg)
221.94 tok/s
Prefill (avg)
834.89 tok/s
TTFT (avg)
1.34 s
VRAM (avg)
3.14 GB
MTP acceptance rate
—
TTFB
1.78 GB
Power draw
44.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-0.8B
Quantization
IQ3_XS
Framework
vLLM
Version
v0.55
Context length
16384 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 M1 Pro
Measured VRAM (avg)
3.14 GB
OS
macOS 15.0
Driver
Apple M1 Pro
CUDA
N/A
Power draw
44.9 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

    v0.55 · macOS 15.0 · CUDA N/A · 16384 ctx

    221.94 tok/s

    Decode

    834.89 tok/s

    Prefill

    1.34 s

    TTFT

    3.14 GB

    VRAM

    —

    MTP

    44.9 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=100 running model_id=51 at IQ3_XS