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 Spark with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
80.69 tok/s
Decode
Decode speed
270.65 tok/s
Prefill
Prefill speed
0.23 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 (current)Decode 80.69 · Prefill 270.65 ·
- Ollama · Q4_K_M Decode 79.19 · Prefill 309.44 ·
Core figures
- Decode (avg)
- 80.69 tok/s
- Prefill (avg)
- 270.65 tok/s
- TTFT (avg)
- 0.23 s
- VRAM (avg)
- 15.88 GB
- MTP acceptance rate
- 0.57
- TTFB
- 0.65 GB
- Power draw
- 55.8 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
- v0.43
- Context length
- 4096 tokens
- Batch size
- 256
- 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 RTX Spark
- Nominal VRAM
- 128 GB
- Measured VRAM (avg)
- 15.88 GB
- OS
- Ubuntu 24.04
- Driver
- 615.78
- CUDA
- 13.0
- Power draw
- 55.8 W
- Reference price
- $2,399 · updated 2026-10-19
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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
v0.43 · Ubuntu 24.04 · CUDA 13.0 · 4096 ctx
80.69 tok/s
Decode
270.65 tok/s
Prefill
0.23 s
TTFT
15.88 GB
VRAM
0.57
MTP
55.8 W
Power draw
L2 batch seed 2026-10-24: llama.cpp on hw_id=110 running model_id=97 at Q4_K_M