Back to search results

Qwen3-1.7B · IQ4_XS

Start a discussion
Apple M2 UltravLLM v0.31L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-1.7B (IQ4_XS) on Apple M2 Ultra with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

221.65 tok/s

Decode

Decode speed

888.85 tok/s

Prefill

Prefill speed

0.49 s

TTFT

Time to first token

4.75 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 (current)Decode 221.65 · Prefill 888.85 ·
  4. vLLM · Q6_K Decode 162.21 · Prefill 522.8 ·

Core figures

Decode (avg)
221.65 tok/s
Prefill (avg)
888.85 tok/s
TTFT (avg)
0.49 s
VRAM (avg)
4.75 GB
MTP acceptance rate
—
TTFB
1.77 GB
Power draw
36.2 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-1.7B
Quantization
IQ4_XS
Framework
vLLM
Version
v0.31
Context length
2048 tokens
Batch size
8
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 Ultra
Measured VRAM (avg)
4.75 GB
OS
macOS 15.0
Driver
Apple M2 Ultra
CUDA
N/A
Power draw
36.2 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

    v0.31 · macOS 15.0 · CUDA N/A · 2048 ctx

    221.65 tok/s

    Decode

    888.85 tok/s

    Prefill

    0.49 s

    TTFT

    4.75 GB

    VRAM

    —

    MTP

    36.2 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=103 running model_id=55 at IQ4_XS