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Llama-3.1-8B-Instruct · IQ2_M

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NVIDIA RTX 4080 Super16GBOllama v0.54L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3.1-8B-Instruct (IQ2_M) on NVIDIA RTX 4080 Super with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

204.79 tok/s

Decode

Decode speed

1,109.54 tok/s

Prefill

Prefill speed

1.48 s

TTFT

Time to first token

10.84 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · IQ2_M Decode 224.52 · Prefill 1147.46 ·
  2. vLLM · Q3_K_L Decode 177.01 · Prefill 908.47 ·
  3. Ollama · IQ2_M (current)Decode 204.79 · Prefill 1109.54 ·

Core figures

Decode (avg)
204.79 tok/s
Prefill (avg)
1,109.54 tok/s
TTFT (avg)
1.48 s
VRAM (avg)
10.84 GB
MTP acceptance rate
—
TTFB
1.64 GB
Power draw
291.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3.1-8B-Instruct
Quantization
IQ2_M
Framework
Ollama
Version
v0.54
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 4080 Super
Nominal VRAM
16 GB
Measured VRAM (avg)
10.84 GB
OS
Windows 11 23H2
Driver
570.86
CUDA
12.8
Power draw
291.8 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

    v0.54 · Windows 11 23H2 · CUDA 12.8 · 4096 ctx

    204.79 tok/s

    Decode

    1,109.54 tok/s

    Prefill

    1.48 s

    TTFT

    10.84 GB

    VRAM

    —

    MTP

    291.8 W

    Power draw

    L2 batch seed 2026-10-18: Ollama on hw_id=20 running model_id=68 at IQ2_M