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Qwen3-1.7B · Q6_K

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Apple M2 UltravLLM v0.22L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-1.7B (Q6_K) on Apple M2 Ultra with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

162.21 tok/s

Decode

Decode speed

522.8 tok/s

Prefill

Prefill speed

0.88 s

TTFT

Time to first token

5.67 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 · Q2_K Decode 247.88 · Prefill 1258.27 ·
  2. llama.cpp · Q4_K_M Decode 200.31 · Prefill 817.12 ·
  3. vLLM · IQ4_XS Decode 221.65 · Prefill 888.85 ·
  4. vLLM · Q6_K (current)Decode 162.21 · Prefill 522.8 ·

Core figures

Decode (avg)
162.21 tok/s
Prefill (avg)
522.8 tok/s
TTFT (avg)
0.88 s
VRAM (avg)
5.67 GB
MTP acceptance rate
—
TTFB
1.3 GB
Power draw
39.4 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-1.7B
Quantization
Q6_K
Framework
vLLM
Version
v0.22
Context length
2048 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)
5.67 GB
OS
macOS 15.0
Driver
Apple M2 Ultra
CUDA
N/A
Power draw
39.4 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

    v0.22 · macOS 15.0 · CUDA N/A · 2048 ctx

    162.21 tok/s

    Decode

    522.8 tok/s

    Prefill

    0.88 s

    TTFT

    5.67 GB

    VRAM

    —

    MTP

    39.4 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=103 running model_id=55 at Q6_K