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Llama-3-8B-Instruct · Q5_K_S

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NVIDIA RTX 408016GBvLLM v0.51L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3-8B-Instruct (Q5_K_S) on NVIDIA RTX 4080 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

132.58 tok/s

Decode

Decode speed

716.19 tok/s

Prefill

Prefill speed

2.4 s

TTFT

Time to first token

15.2 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · IQ3_XS Decode 205.69 · Prefill 981.9 ·
  2. vLLM · Q5_K_S (current)Decode 132.58 · Prefill 716.19 ·
  3. Strata · Q3_K_M Decode 260.87 · Prefill 961.11 ·

Core figures

Decode (avg)
132.58 tok/s
Prefill (avg)
716.19 tok/s
TTFT (avg)
2.4 s
VRAM (avg)
15.2 GB
MTP acceptance rate
—
TTFB
1.06 GB
Power draw
301 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3-8B-Instruct
Quantization
Q5_K_S
Framework
vLLM
Version
v0.51
Context length
32768 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 4080
Nominal VRAM
16 GB
Measured VRAM (avg)
15.2 GB
OS
Windows 11 24H2
Driver
560.94
CUDA
13.0
Power draw
301 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-18

    v0.51 · Windows 11 24H2 · CUDA 13.0 · 32768 ctx

    132.58 tok/s

    Decode

    716.19 tok/s

    Prefill

    2.4 s

    TTFT

    15.2 GB

    VRAM

    —

    MTP

    301 W

    Power draw

    L2 batch seed 2026-10-18: vLLM on hw_id=41 running model_id=69 at Q5_K_S