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Llama-3-8B-Instruct · IQ1_S

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NVIDIA RTX 4080 Super16GBOllama v0.25L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3-8B-Instruct (IQ1_S) on NVIDIA RTX 4080 Super with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

212.31 tok/s

Decode

Decode speed

982.11 tok/s

Prefill

Prefill speed

2.3 s

TTFT

Time to first token

9.16 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · Q3_K_S Decode 189.4 · Prefill 632.63 ·
  2. Ollama · IQ1_S (current)Decode 212.31 · Prefill 982.11 ·
  3. Ollama · IQ3_XS Decode 184.92 · Prefill 617.23 ·

Core figures

Decode (avg)
212.31 tok/s
Prefill (avg)
982.11 tok/s
TTFT (avg)
2.3 s
VRAM (avg)
9.16 GB
MTP acceptance rate
—
TTFB
1.7 GB
Power draw
230.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3-8B-Instruct
Quantization
IQ1_S
Framework
Ollama
Version
v0.25
Context length
32768 tokens
Batch size
256
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 4080 Super
Nominal VRAM
16 GB
Measured VRAM (avg)
9.16 GB
OS
Ubuntu 22.04
Driver
572.83
CUDA
13.0
Power draw
230.3 W

Sources & evidence

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

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

    v0.25 · Ubuntu 22.04 · CUDA 13.0 · 32768 ctx

    212.31 tok/s

    Decode

    982.11 tok/s

    Prefill

    2.3 s

    TTFT

    9.16 GB

    VRAM

    —

    MTP

    230.3 W

    Power draw

    L2 batch seed 2026-10-18: Ollama on hw_id=20 running model_id=69 at IQ1_S