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gemma-4-E4B-it · Q3_K_M

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Apple M1 ProvLLM v0.53L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-E4B-it (Q3_K_M) on Apple M1 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

98.62 tok/s

Decode

Decode speed

525.36 tok/s

Prefill

Prefill speed

0.99 s

TTFT

Time to first token

7.81 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 · Q2_K Decode 122.43 · Prefill 598.25 ·
  2. vLLM · Q3_K_M (current)Decode 98.62 · Prefill 525.36 ·
  3. Ollama · Q4_K_S Decode 77.92 · Prefill 280.34 ·

Core figures

Decode (avg)
98.62 tok/s
Prefill (avg)
525.36 tok/s
TTFT (avg)
0.99 s
VRAM (avg)
7.81 GB
MTP acceptance rate
—
TTFB
0.79 GB
Power draw
47.7 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-E4B-it
Quantization
Q3_K_M
Framework
vLLM
Version
v0.53
Context length
8192 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 M1 Pro
Measured VRAM (avg)
7.81 GB
OS
macOS 15.0
Driver
Apple M1 Pro
CUDA
N/A
Power draw
47.7 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

    v0.53 · macOS 15.0 · CUDA N/A · 8192 ctx

    98.62 tok/s

    Decode

    525.36 tok/s

    Prefill

    0.99 s

    TTFT

    7.81 GB

    VRAM

    —

    MTP

    47.7 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=100 running model_id=67 at Q3_K_M