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 NVIDIA RTX 3090 with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.
125.83 tok/s
Decode
Decode speed
630.14 tok/s
Prefill
Prefill speed
2.19 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 94.58 · Prefill 353.95 ·
- Strata · Q4_K_M (current)Decode 125.83 · Prefill 630.14 ·
Core figures
- Decode (avg)
- 125.83 tok/s
- Prefill (avg)
- 630.14 tok/s
- TTFT (avg)
- 2.19 s
- VRAM (avg)
- 15.88 GB
- MTP acceptance rate
- 0.58
- TTFB
- 1.01 GB
- Power draw
- 250.4 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
- Strata
- Version
- v0.28
- Context length
- 65536 tokens
- Batch size
- 1024
- GPU layers
- 5
- Flash Attention
- Off
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX 3090
- Nominal VRAM
- 24 GB
- Measured VRAM (avg)
- 15.88 GB
- OS
- Ubuntu 22.04
- Driver
- 572.83
- CUDA
- 12.4
- Power draw
- 250.4 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
v0.28 · Ubuntu 22.04 · CUDA 12.4 · 65536 ctx
125.83 tok/s
Decode
630.14 tok/s
Prefill
2.19 s
TTFT
15.88 GB
VRAM
0.58
MTP
250.4 W
Power draw
L2 batch seed 2026-10-24: Strata on hw_id=2 running model_id=97 at Q4_K_M