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mammoth-1 · IQ3_XS

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NVIDIA RTX PRO 6000 Blackwell 96GB96GBvLLM v0.51L2 Cross-framework verified

This page aggregates 1 real-world runs of mammoth-1 (IQ3_XS) on NVIDIA RTX PRO 6000 Blackwell 96GB with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

228.17 tok/s

Decode

Decode speed

758.2 tok/s

Prefill

Prefill speed

1.08 s

TTFT

Time to first token

37.25 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

13 days ago

Last verified

Performance

  1. vLLM · IQ3_XS (current)Decode 228.17 · Prefill 758.2 ·
  2. vLLM · Q5_K_M Decode 145.66 · Prefill 731.49 ·
  3. Ollama · IQ3_XS Decode 214.08 · Prefill 806.7 ·
  4. Ollama · Q5_K_S Decode 135.94 · Prefill 501.24 ·

Core figures

Decode (avg)
228.17 tok/s
Prefill (avg)
758.2 tok/s
TTFT (avg)
1.08 s
VRAM (avg)
37.25 GB
MTP acceptance rate
—
TTFB
1.83 GB
Power draw
328 W

Configuration

Member-level fields are taken from the most recent run

Model
mammoth-1
Quantization
IQ3_XS
Framework
vLLM
Version
v0.51
Context length
4096 tokens
Batch size
8
GPU layers
999
Flash Attention
Off

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)
37.25 GB
OS
Ubuntu 22.04
Driver
560.94
CUDA
12.4
Power draw
328 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

    v0.51 · Ubuntu 22.04 · CUDA 12.4 · 4096 ctx

    228.17 tok/s

    Decode

    758.2 tok/s

    Prefill

    1.08 s

    TTFT

    37.25 GB

    VRAM

    —

    MTP

    328 W

    Power draw

    L2 batch seed 2026-10-22: vLLM on hw_id=68 running model_id=94 at IQ3_XS