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Llama-3.1-8B-Instruct · Q3_K_L

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NVIDIA RTX 4060 Ti 16GB16GBOllama v0.55L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3.1-8B-Instruct (Q3_K_L) on NVIDIA RTX 4060 Ti 16GB with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

118.42 tok/s

Decode

Decode speed

384.95 tok/s

Prefill

Prefill speed

0.9 s

TTFT

Time to first token

14.2 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. Ollama · Q3_K_L (current)Decode 118.42 · Prefill 384.95 ·
  2. Strata · IQ4_XS Decode 154.65 · Prefill 522.45 ·

Core figures

Decode (avg)
118.42 tok/s
Prefill (avg)
384.95 tok/s
TTFT (avg)
0.9 s
VRAM (avg)
14.2 GB
MTP acceptance rate
—
TTFB
0.95 GB
Power draw
152.7 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3.1-8B-Instruct
Quantization
Q3_K_L
Framework
Ollama
Version
v0.55
Context length
4096 tokens
Batch size
512
GPU layers
33
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
NVIDIA RTX 4060 Ti 16GB
Nominal VRAM
16 GB
Measured VRAM (avg)
14.2 GB
OS
Ubuntu 22.04
Driver
570.86
CUDA
12.6
Power draw
152.7 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

    v0.55 · Ubuntu 22.04 · CUDA 12.6 · 4096 ctx

    118.42 tok/s

    Decode

    384.95 tok/s

    Prefill

    0.9 s

    TTFT

    14.2 GB

    VRAM

    —

    MTP

    152.7 W

    Power draw

    L2 batch seed 2026-10-18: Ollama on hw_id=3 running model_id=68 at Q3_K_L