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Qwen3.5-4B · Q3_K_S

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NVIDIA RTX 409024GBllama.cpp v0.32L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-4B (Q3_K_S) on NVIDIA RTX 4090 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

181.19 tok/s

Decode

Decode speed

930.71 tok/s

Prefill

Prefill speed

1.77 s

TTFT

Time to first token

7.56 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

17 days ago

Last verified

Performance

  1. llama.cpp · Q3_K_S (current)Decode 181.19 · Prefill 930.71 ·
  2. Strata · Q3_K_L Decode 236.63 · Prefill 1225.73 ·
  3. llama.cpp · FP16 Decode 79.5 · Prefill 355.19 ·
  4. llama.cpp · IQ4_XS Decode 170.35 · Prefill 636.3 ·
  5. vLLM · IQ2_M Decode 248.85 · Prefill 1225.63 ·
  6. vLLM · Q6_K Decode 133.61 · Prefill 629.89 ·
  7. llama.cpp · Q3_K_L Decode 174.81 · Prefill 809.7 ·
  8. vLLM · Q4_K_S Decode 181.53 · Prefill 809.47 ·
  9. Strata · Q6_K Decode 161.44 · Prefill 654.89 ·

Core figures

Decode (avg)
181.19 tok/s
Prefill (avg)
930.71 tok/s
TTFT (avg)
1.77 s
VRAM (avg)
7.56 GB
MTP acceptance rate
—
TTFB
1.45 GB
Power draw
362.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-4B
Quantization
Q3_K_S
Framework
llama.cpp
Version
v0.32
Context length
32768 tokens
Batch size
512
GPU layers
33
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)
7.56 GB
OS
Windows 11 23H2
Driver
560.94
CUDA
12.8
Power draw
362.8 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.32 · Windows 11 23H2 · CUDA 12.8 · 32768 ctx

    181.19 tok/s

    Decode

    930.71 tok/s

    Prefill

    1.77 s

    TTFT

    7.56 GB

    VRAM

    —

    MTP

    362.8 W

    Power draw

    L2 batch seed 2026-10-19: llama.cpp on hw_id=1 running model_id=48 at Q3_K_S