Arao AI
Back to search results

elephant-1 · Q3_K_L

Start a discussion
NVIDIA RTX 4080 Super16GBOllama v0.44L2 Cross-framework verified

This page aggregates 1 real-world runs of elephant-1 (Q3_K_L) on NVIDIA RTX 4080 Super with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

145.8 tok/s

Decode

Decode speed

516.93 tok/s

Prefill

Prefill speed

1.05 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

13 days ago

Last verified

Performance

  1. Ollama · Q3_K_L (current)Decode 145.8 · Prefill 516.93 ·
  2. Strata · IQ3_XS Decode 244.72 · Prefill 1076.88 ·

Core figures

Decode (avg)
145.8 tok/s
Prefill (avg)
516.93 tok/s
TTFT (avg)
1.05 s
VRAM (avg)
15.2 GB
MTP acceptance rate
—
TTFB
1.17 GB
Power draw
292.4 W

Configuration

Member-level fields are taken from the most recent run

Model
elephant-1
Quantization
Q3_K_L
Framework
Ollama
Version
v0.44
Context length
2048 tokens
Batch size
512
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)
15.2 GB
OS
Windows 11 23H2
Driver
565.57
CUDA
12.4
Power draw
292.4 W

Get started

Original model resources

Base model resources may not match this quantization. Use the verified deployment weights above when available.

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-22

    v0.44 · Windows 11 23H2 · CUDA 12.4 · 2048 ctx

    145.8 tok/s

    Decode

    516.93 tok/s

    Prefill

    1.05 s

    TTFT

    15.2 GB

    VRAM

    —

    MTP

    292.4 W

    Power draw

    L2 batch seed 2026-10-22: Ollama on hw_id=20 running model_id=95 at Q3_K_L