Back to search results

elephant-1 · IQ1_S

Start a discussion
NVIDIA RTX PRO 6000 Blackwell 96GB96GBOllama v0.28L2 Cross-framework verified

This page aggregates 1 real-world runs of elephant-1 (IQ1_S) on NVIDIA RTX PRO 6000 Blackwell 96GB with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

275.81 tok/s

Decode

Decode speed

1,195.7 tok/s

Prefill

Prefill speed

2.26 s

TTFT

Time to first token

10.04 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

14 days ago

Last verified

Performance

  1. Ollama · IQ1_S (current)Decode 275.81 · Prefill 1195.7 ·
  2. Ollama · IQ4_XS Decode 194.74 · Prefill 889.56 ·
  3. Strata · IQ3_XS Decode 354.49 · Prefill 1856.14 ·
  4. Strata · Q4_K_S Decode 293.11 · Prefill 1298.77 ·

Core figures

Decode (avg)
275.81 tok/s
Prefill (avg)
1,195.7 tok/s
TTFT (avg)
2.26 s
VRAM (avg)
10.04 GB
MTP acceptance rate
—
TTFB
2.21 GB
Power draw
333.6 W

Configuration

Member-level fields are taken from the most recent run

Model
elephant-1
Quantization
IQ1_S
Framework
Ollama
Version
v0.28
Context length
32768 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 PRO 6000 Blackwell 96GB
Nominal VRAM
96 GB
Measured VRAM (avg)
10.04 GB
OS
Windows 11 23H2
Driver
560.94
CUDA
12.8
Power draw
333.6 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

    v0.28 · Windows 11 23H2 · CUDA 12.8 · 32768 ctx

    275.81 tok/s

    Decode

    1,195.7 tok/s

    Prefill

    2.26 s

    TTFT

    10.04 GB

    VRAM

    —

    MTP

    333.6 W

    Power draw

    L2 batch seed 2026-10-22: Ollama on hw_id=68 running model_id=95 at IQ1_S