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Qwen3.5-4B · Q5_K_S

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NVIDIA RTX 309024GBvLLM v0.46L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-4B (Q5_K_S) on NVIDIA RTX 3090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

129.61 tok/s

Decode

Decode speed

696.02 tok/s

Prefill

Prefill speed

0.96 s

TTFT

Time to first token

9.66 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · Q5_K_S Decode 139.06 · Prefill 548.16 ·
  2. llama.cpp · Q6_K Decode 108.41 · Prefill 420.36 ·
  3. vLLM · Q5_K_S (current)Decode 129.61 · Prefill 696.02 ·

Core figures

Decode (avg)
129.61 tok/s
Prefill (avg)
696.02 tok/s
TTFT (avg)
0.96 s
VRAM (avg)
9.66 GB
MTP acceptance rate
—
TTFB
1.04 GB
Power draw
314.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-4B
Quantization
Q5_K_S
Framework
vLLM
Version
v0.46
Context length
16384 tokens
Batch size
8
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
NVIDIA RTX 3090
Nominal VRAM
24 GB
Measured VRAM (avg)
9.66 GB
OS
Ubuntu 24.04
Driver
560.94
CUDA
12.8
Power draw
314.8 W

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-10

    v0.46 · Ubuntu 24.04 · CUDA 12.8 · 16384 ctx

    129.61 tok/s

    Decode

    696.02 tok/s

    Prefill

    0.96 s

    TTFT

    9.66 GB

    VRAM

    —

    MTP

    314.8 W

    Power draw

    L2 batch seed 2026-10-10: vLLM on hw_id=2 running model_id=48 at Q5_K_S