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Qwen3.5-4B · Q5_K_M

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NVIDIA RTX 308010GBvLLM v0.32L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-4B (Q5_K_M) on NVIDIA RTX 3080 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

82.42 tok/s

Decode

Decode speed

333.84 tok/s

Prefill

Prefill speed

1.83 s

TTFT

Time to first token

9.5 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. vLLM · Q5_K_M (current)Decode 82.42 · Prefill 333.84 ·
  2. Ollama · IQ2_M Decode 105.52 · Prefill 563.01 ·
  3. Ollama · IQ3_S Decode 92.66 · Prefill 391.24 ·

Core figures

Decode (avg)
82.42 tok/s
Prefill (avg)
333.84 tok/s
TTFT (avg)
1.83 s
VRAM (avg)
9.5 GB
MTP acceptance rate
—
TTFB
0.66 GB
Power draw
351.5 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-4B
Quantization
Q5_K_M
Framework
vLLM
Version
v0.32
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 3080
Nominal VRAM
10 GB
Measured VRAM (avg)
9.5 GB
OS
Windows 11 23H2
Driver
555.85
CUDA
12.6
Power draw
351.5 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-13

    v0.32 · Windows 11 23H2 · CUDA 12.6 · 16384 ctx

    82.42 tok/s

    Decode

    333.84 tok/s

    Prefill

    1.83 s

    TTFT

    9.5 GB

    VRAM

    —

    MTP

    351.5 W

    Power draw

    L2 batch seed 2026-10-13: vLLM on hw_id=44 running model_id=48 at Q5_K_M