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Qwen2.5-0.5B-Instruct · Q8_0

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NVIDIA RTX 4070 Ti12GBOllama v0.42L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen2.5-0.5B-Instruct (Q8_0) on NVIDIA RTX 4070 Ti with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

145.11 tok/s

Decode

Decode speed

753.08 tok/s

Prefill

Prefill speed

0.94 s

TTFT

Time to first token

3.31 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 · IQ3_S Decode 273.48 · Prefill 1262.92 ·
  2. vLLM · IQ4_XS Decode 254.8 · Prefill 1153.22 ·
  3. Ollama · Q3_K_S Decode 265.74 · Prefill 1442.65 ·
  4. Ollama · Q8_0 (current)Decode 145.11 · Prefill 753.08 ·

Core figures

Decode (avg)
145.11 tok/s
Prefill (avg)
753.08 tok/s
TTFT (avg)
0.94 s
VRAM (avg)
3.31 GB
MTP acceptance rate
—
TTFB
1.16 GB
Power draw
202.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen2.5-0.5B-Instruct
Quantization
Q8_0
Framework
Ollama
Version
v0.42
Context length
32768 tokens
Batch size
512
GPU layers
28
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 Ti
Nominal VRAM
12 GB
Measured VRAM (avg)
3.31 GB
OS
Ubuntu 22.04
Driver
570.86
CUDA
12.4
Power draw
202.3 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

    v0.42 · Ubuntu 22.04 · CUDA 12.4 · 32768 ctx

    145.11 tok/s

    Decode

    753.08 tok/s

    Prefill

    0.94 s

    TTFT

    3.31 GB

    VRAM

    —

    MTP

    202.3 W

    Power draw

    L2 batch seed 2026-10-13: Ollama on hw_id=42 running model_id=59 at Q8_0