NVIDIA-Nemotron-3.5-Bolt-E4B-4GB · Q4_K_M
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
1
Measured runs
1
Independent sources
Other
Source platforms
12 days ago
Last verified
Performance
- llama.cpp · Q4_K_M Decode 35.76 · Prefill 167.23 ·
- 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
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