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NVIDIA-Nemotron-3.5-Bolt-E4B-4GB · Q4_K_M

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NVIDIA H100 80GB HBM380GBOllama v0.45L2 Cross-framework verified

This page aggregates 1 real-world runs of NVIDIA-Nemotron-3.5-Bolt-E4B-4GB (Q4_K_M) on NVIDIA H100 80GB HBM3 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

345.26 tok/s

Decode

Decode speed

1,726.58 tok/s

Prefill

Prefill speed

1.8 s

TTFT

Time to first token

15.88 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

12 days ago

Last verified

Performance

  1. Ollama · Q4_K_M (current)Decode 345.26 · Prefill 1726.58 ·
  2. Strata · Q4_K_M Decode 317.23 · Prefill 1729.64 ·

Core figures

Decode (avg)
345.26 tok/s
Prefill (avg)
1,726.58 tok/s
TTFT (avg)
1.8 s
VRAM (avg)
15.88 GB
MTP acceptance rate
—
TTFB
2.76 GB
Power draw
678.6 W

Configuration

Member-level fields are taken from the most recent run

Model
NVIDIA-Nemotron-3.5-Bolt-E4B-4GB
Quantization
Q4_K_M
Framework
Ollama
Version
v0.45
Context length
32768 tokens
Batch size
512
GPU layers
99
Flash Attention
Off

Hardware

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

GPU
NVIDIA H100 80GB HBM3
Nominal VRAM
80 GB
Measured VRAM (avg)
15.88 GB
OS
Ubuntu 22.04
Driver
565.57
CUDA
13.0
Power draw
678.6 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 2026-10-24

    v0.45 · Ubuntu 22.04 · CUDA 13.0 · 32768 ctx

    345.26 tok/s

    Decode

    1,726.58 tok/s

    Prefill

    1.8 s

    TTFT

    15.88 GB

    VRAM

    —

    MTP

    678.6 W

    Power draw

    L2 batch seed 2026-10-24: Ollama on hw_id=55 running model_id=97 at Q4_K_M