Arao AI
Back to search results

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

Start a discussion
AMD Ryzen AI Max+ 395128GBOllama v0.20L2 Cross-framework verified

This page aggregates 1 real-world runs of NVIDIA-Nemotron-3.5-Bolt-E4B-4GB (Q4_K_M) on AMD Ryzen AI Max+ 395 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

33.77 tok/s

Decode

Decode speed

108.98 tok/s

Prefill

Prefill speed

1.79 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

11 days ago

Last verified

Performance

  1. llama.cpp · Q4_K_M Decode 35.76 · Prefill 167.23 ·
  2. Ollama · Q4_K_M (current)Decode 33.77 · Prefill 108.98 ·

Core figures

Decode (avg)
33.77 tok/s
Prefill (avg)
108.98 tok/s
TTFT (avg)
1.79 s
VRAM (avg)
15.88 GB
MTP acceptance rate
—
TTFB
0.27 GB
Power draw
64.3 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
Ollama
Version
v0.20
Context length
65536 tokens
Batch size
512
GPU layers
99
Flash Attention
On

Hardware

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

GPU
AMD Ryzen AI Max+ 395
Nominal VRAM
128 GB
Measured VRAM (avg)
15.88 GB
OS
Ubuntu 24.04
Driver
amdgpu-pro 24.20
CUDA
12.4
Power draw
64.3 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

    v0.20 · Ubuntu 24.04 · CUDA 12.4 · 65536 ctx

    33.77 tok/s

    Decode

    108.98 tok/s

    Prefill

    1.79 s

    TTFT

    15.88 GB

    VRAM

    —

    MTP

    64.3 W

    Power draw

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