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Qwen2.5-0.5B-Instruct · Q3_K_M

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NVIDIA RTX 407012GBvLLM v0.54L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen2.5-0.5B-Instruct (Q3_K_M) on NVIDIA RTX 4070 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

277.32 tok/s

Decode

Decode speed

1,224.46 tok/s

Prefill

Prefill speed

0.72 s

TTFT

Time to first token

2.81 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. llama.cpp · IQ1_S Decode 330.62 · Prefill 1805.64 ·
  2. llama.cpp · Q5_K_S Decode 179.43 · Prefill 799.81 ·
  3. vLLM · IQ2_M Decode 318.42 · Prefill 1565.27 ·
  4. vLLM · Q3_K_M (current)Decode 277.32 · Prefill 1224.46 ·

Core figures

Decode (avg)
277.32 tok/s
Prefill (avg)
1,224.46 tok/s
TTFT (avg)
0.72 s
VRAM (avg)
2.81 GB
MTP acceptance rate
—
TTFB
2.22 GB
Power draw
240.4 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen2.5-0.5B-Instruct
Quantization
Q3_K_M
Framework
vLLM
Version
v0.54
Context length
2048 tokens
Batch size
32
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 4070
Nominal VRAM
12 GB
Measured VRAM (avg)
2.81 GB
OS
Ubuntu 24.04
Driver
560.94
CUDA
12.8
Power draw
240.4 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

    v0.54 · Ubuntu 24.04 · CUDA 12.8 · 2048 ctx

    277.32 tok/s

    Decode

    1,224.46 tok/s

    Prefill

    0.72 s

    TTFT

    2.81 GB

    VRAM

    —

    MTP

    240.4 W

    Power draw

    L2 batch seed 2026-10-13: vLLM on hw_id=45 running model_id=59 at Q3_K_M