Arao AI
Back to search results

Llama-3.1-8B-Instruct · IQ4_XS

Start a discussion
NVIDIA RTX 408016GBStrata v0.29L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3.1-8B-Instruct (IQ4_XS) on NVIDIA RTX 4080 with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.

248.44 tok/s

Decode

Decode speed

973.3 tok/s

Prefill

Prefill speed

0.73 s

TTFT

Time to first token

14.53 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · Q3_K_L Decode 160.83 · Prefill 637.28 ·
  2. Strata · IQ4_XS (current)Decode 248.44 · Prefill 973.3 ·
  3. Strata · Q3_K_M Decode 238.79 · Prefill 1287.02 ·

Core figures

Decode (avg)
248.44 tok/s
Prefill (avg)
973.3 tok/s
TTFT (avg)
0.73 s
VRAM (avg)
14.53 GB
MTP acceptance rate
0.76
TTFB
1.99 GB
Power draw
294.1 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3.1-8B-Instruct
Quantization
IQ4_XS
Framework
Strata
Version
v0.29
Context length
16384 tokens
Batch size
1024
GPU layers
8
Flash Attention
On

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)
14.53 GB
OS
Windows 11 23H2
Driver
560.94
CUDA
12.4
Power draw
294.1 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

    v0.29 · Windows 11 23H2 · CUDA 12.4 · 16384 ctx

    248.44 tok/s

    Decode

    973.3 tok/s

    Prefill

    0.73 s

    TTFT

    14.53 GB

    VRAM

    0.76

    MTP

    294.1 W

    Power draw

    L2 batch seed 2026-10-18: Strata on hw_id=41 running model_id=68 at IQ4_XS