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Qwen3.5-4B · Q4_K_M

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NVIDIA RTX 507012GBvLLM v0.22L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-4B (Q4_K_M) on NVIDIA RTX 5070 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

84.51 tok/s

Decode

Decode speed

408.98 tok/s

Prefill

Prefill speed

1.63 s

TTFT

Time to first token

8.99 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · Q3_K_M Decode 112.72 · Prefill 436.5 ·
  2. vLLM · Q4_K_M (current)Decode 84.51 · Prefill 408.98 ·
  3. Strata · IQ3_S Decode 154.26 · Prefill 563.04 ·
  4. llama.cpp · Q5_K_M Decode 174.7 · Prefill 1310.3 ·

Core figures

Decode (avg)
84.51 tok/s
Prefill (avg)
408.98 tok/s
TTFT (avg)
1.63 s
VRAM (avg)
8.99 GB
MTP acceptance rate
—
TTFB
0.68 GB
Power draw
155.6 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-4B
Quantization
Q4_K_M
Framework
vLLM
Version
v0.22
Context length
4096 tokens
Batch size
16
GPU layers
999
Flash Attention
Off

Hardware

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

GPU
NVIDIA RTX 5070
Nominal VRAM
12 GB
Measured VRAM (avg)
8.99 GB
OS
Ubuntu 22.04
Driver
565.57
CUDA
12.8
Power draw
155.6 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

    v0.22 · Ubuntu 22.04 · CUDA 12.8 · 4096 ctx

    84.51 tok/s

    Decode

    408.98 tok/s

    Prefill

    1.63 s

    TTFT

    8.99 GB

    VRAM

    —

    MTP

    155.6 W

    Power draw

    L2 batch seed 2026-10-10: vLLM on hw_id=18 running model_id=48 at Q4_K_M