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gemma-4-E2B-it · Q4_K_M

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Intel Arc 140VvLLM v0.35L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-E2B-it (Q4_K_M) on Intel Arc 140V with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

93.69 tok/s

Decode

Decode speed

438.33 tok/s

Prefill

Prefill speed

0.13 s

TTFT

Time to first token

5.54 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 · Q4_K_M Decode 78.89 · Prefill 345.96 ·
  2. llama.cpp · Q8_0 Decode 53.13 · Prefill 172.01 ·
  3. vLLM · Q4_K_M (current)Decode 93.69 · Prefill 438.33 ·

Core figures

Decode (avg)
93.69 tok/s
Prefill (avg)
438.33 tok/s
TTFT (avg)
0.13 s
VRAM (avg)
5.54 GB
MTP acceptance rate
—
TTFB
0.75 GB
Power draw
197.1 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-E2B-it
Quantization
Q4_K_M
Framework
vLLM
Version
v0.35
Context length
8192 tokens
Batch size
32
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
Intel Arc 140V
Measured VRAM (avg)
5.54 GB
OS
Ubuntu 24.04
Driver
Intel Arc 31.0.101.5186
CUDA
12.6
Power draw
197.1 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

    v0.35 · Ubuntu 24.04 · CUDA 12.6 · 8192 ctx

    93.69 tok/s

    Decode

    438.33 tok/s

    Prefill

    0.13 s

    TTFT

    5.54 GB

    VRAM

    —

    MTP

    197.1 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=98 running model_id=66 at Q4_K_M