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

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NVIDIA RTX 4080 Super16GBllama.cpp v0.28L2 Cross-framework verified

This page aggregates 1 real-world runs of NVIDIA-Nemotron-3.5-Bolt-E4B-4GB (Q4_K_M) on NVIDIA RTX 4080 Super with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

162.68 tok/s

Decode

Decode speed

521.64 tok/s

Prefill

Prefill speed

1.22 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

12 days ago

Last verified

Performance

  1. llama.cpp · Q4_K_M (current)Decode 162.68 · Prefill 521.64 ·

Core figures

Decode (avg)
162.68 tok/s
Prefill (avg)
521.64 tok/s
TTFT (avg)
1.22 s
VRAM (avg)
15.2 GB
MTP acceptance rate
0.64
TTFB
1.3 GB
Power draw
274.3 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
llama.cpp
Version
v0.28
Context length
4096 tokens
Batch size
256
GPU layers
33
Flash Attention
Off

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 24H2
Driver
560.94
CUDA
12.8
Power draw
274.3 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

    v0.28 · Windows 11 24H2 · CUDA 12.8 · 4096 ctx

    162.68 tok/s

    Decode

    521.64 tok/s

    Prefill

    1.22 s

    TTFT

    15.2 GB

    VRAM

    0.64

    MTP

    274.3 W

    Power draw

    L2 batch seed 2026-10-24: llama.cpp on hw_id=20 running model_id=97 at Q4_K_M