Arao AI
Back to search results

Qwen3.5-4B · Q4_K_S

Start a discussion
NVIDIA RTX 409024GBvLLM v0.33L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-4B (Q4_K_S) on NVIDIA RTX 4090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

181.53 tok/s

Decode

Decode speed

809.47 tok/s

Prefill

Prefill speed

1.04 s

TTFT

Time to first token

8.65 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · Q3_K_L Decode 174.81 · Prefill 809.7 ·
  2. vLLM · Q4_K_S (current)Decode 181.53 · Prefill 809.47 ·
  3. Strata · Q6_K Decode 161.44 · Prefill 654.89 ·

Core figures

Decode (avg)
181.53 tok/s
Prefill (avg)
809.47 tok/s
TTFT (avg)
1.04 s
VRAM (avg)
8.65 GB
MTP acceptance rate
—
TTFB
1.45 GB
Power draw
479 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-4B
Quantization
Q4_K_S
Framework
vLLM
Version
v0.33
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 4090
Nominal VRAM
24 GB
Measured VRAM (avg)
8.65 GB
OS
Windows 11 23H2
Driver
560.94
CUDA
12.6
Power draw
479 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

    v0.33 · Windows 11 23H2 · CUDA 12.6 · 16384 ctx

    181.53 tok/s

    Decode

    809.47 tok/s

    Prefill

    1.04 s

    TTFT

    8.65 GB

    VRAM

    —

    MTP

    479 W

    Power draw

    L2 batch seed 2026-10-10: vLLM on hw_id=1 running model_id=48 at Q4_K_S