Arao AI
Back to search results

gemma-4-E4B-it · Q5_K_M

Start a discussion
NVIDIA RTX 509032GBStrata v0.31L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-E4B-it (Q5_K_M) on NVIDIA RTX 5090 with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.

361.26 tok/s

Decode

Decode speed

1,894.18 tok/s

Prefill

Prefill speed

0.61 s

TTFT

Time to first token

9.91 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 · Q3_K_L Decode 336.48 · Prefill 1309.15 ·
  2. vLLM · Q3_K_S Decode 310.95 · Prefill 1691.37 ·
  3. Strata · Q3_K_S Decode 326.07 · Prefill 1598 ·
  4. Strata · Q5_K_M (current)Decode 361.26 · Prefill 1894.18 ·

Core figures

Decode (avg)
361.26 tok/s
Prefill (avg)
1,894.18 tok/s
TTFT (avg)
0.61 s
VRAM (avg)
9.91 GB
MTP acceptance rate
0.61
TTFB
2.89 GB
Power draw
368.2 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-E4B-it
Quantization
Q5_K_M
Framework
Strata
Version
v0.31
Context length
8192 tokens
Batch size
512
GPU layers
12
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
NVIDIA RTX 5090
Nominal VRAM
32 GB
Measured VRAM (avg)
9.91 GB
OS
Ubuntu 24.04
Driver
560.94
CUDA
12.6
Power draw
368.2 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 · Ubuntu 24.04 · CUDA 12.6 · 8192 ctx

    361.26 tok/s

    Decode

    1,894.18 tok/s

    Prefill

    0.61 s

    TTFT

    9.91 GB

    VRAM

    0.61

    MTP

    368.2 W

    Power draw

    L2 batch seed 2026-10-16: Strata on hw_id=13 running model_id=67 at Q5_K_M