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Qwen2.5-0.5B-Instruct · IQ2_M

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NVIDIA RTX 407012GBvLLM v0.32L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen2.5-0.5B-Instruct (IQ2_M) on NVIDIA RTX 4070 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

318.42 tok/s

Decode

Decode speed

1,565.27 tok/s

Prefill

Prefill speed

1.99 s

TTFT

Time to first token

2.65 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 (current)Decode 318.42 · Prefill 1565.27 ·
  4. vLLM · Q3_K_M Decode 277.32 · Prefill 1224.46 ·

Core figures

Decode (avg)
318.42 tok/s
Prefill (avg)
1,565.27 tok/s
TTFT (avg)
1.99 s
VRAM (avg)
2.65 GB
MTP acceptance rate
—
TTFB
2.55 GB
Power draw
225.5 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen2.5-0.5B-Instruct
Quantization
IQ2_M
Framework
vLLM
Version
v0.32
Context length
4096 tokens
Batch size
16
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)
2.65 GB
OS
Ubuntu 24.04
Driver
565.57
CUDA
12.6
Power draw
225.5 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 · Ubuntu 24.04 · CUDA 12.6 · 4096 ctx

    318.42 tok/s

    Decode

    1,565.27 tok/s

    Prefill

    1.99 s

    TTFT

    2.65 GB

    VRAM

    —

    MTP

    225.5 W

    Power draw

    L2 batch seed 2026-10-13: vLLM on hw_id=45 running model_id=59 at IQ2_M