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mammoth-1 · Q4_K_M

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NVIDIA RTX Spark128GBllama.cpp v0.38L2 Cross-framework verified

This page aggregates 1 real-world runs of mammoth-1 (Q4_K_M) on NVIDIA RTX Spark with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

11.03 tok/s

Decode

Decode speed

58.41 tok/s

Prefill

Prefill speed

1.92 s

TTFT

Time to first token

48.59 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

13 days ago

Last verified

Performance

  1. llama.cpp · IQ1_S Decode 15.77 · Prefill 62.48 ·
  2. llama.cpp · Q4_K_M (current)Decode 11.03 · Prefill 58.41 ·
  3. llama.cpp · Q4_K_S Decode 11.75 · Prefill 39.19 ·
  4. Ollama · IQ3_S Decode 12.19 · Prefill 51.57 ·
  5. Ollama · IQ4_XS Decode 9.95 · Prefill 46.04 ·
  6. Ollama · Q4_K_M Decode 9.21 · Prefill 45.35 ·

Core figures

Decode (avg)
11.03 tok/s
Prefill (avg)
58.41 tok/s
TTFT (avg)
1.92 s
VRAM (avg)
48.59 GB
MTP acceptance rate
—
TTFB
0.09 GB
Power draw
75.3 W

Configuration

Member-level fields are taken from the most recent run

Model
mammoth-1
Quantization
Q4_K_M
Framework
llama.cpp
Version
v0.38
Context length
8192 tokens
Batch size
256
GPU layers
28
Flash Attention
Off

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
NVIDIA RTX Spark
Nominal VRAM
128 GB
Measured VRAM (avg)
48.59 GB
OS
Ubuntu 24.04
Driver
615.78
CUDA
13.0
Power draw
75.3 W
Reference price
$2,399 · updated 2026-10-19

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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

    v0.38 · Ubuntu 24.04 · CUDA 13.0 · 8192 ctx

    11.03 tok/s

    Decode

    58.41 tok/s

    Prefill

    1.92 s

    TTFT

    48.59 GB

    VRAM

    —

    MTP

    75.3 W

    Power draw

    L2 batch seed 2026-10-22: llama.cpp on hw_id=110 running model_id=94 at Q4_K_M