FitMyLLM
NVIDIA/Dense

NVIDIANemotron 3.5 Bolt E4B

Nemotron 3.5 Bolt E4B — NVIDIA's post-train of Gemma 4 E4B for fast local assistants: better multi-turn tool use and instruction following, 8B stored, 4B effective, 64K context.

chatreasoningmultilingualtool_useagentic
8B
Parameters
64K
Context length
1
Benchmarks
6
Quantizations
13K
HF downloads
Architecture
Dense
Released
2026-10-23
Layers
42
KV Heads
2
Head Dim
256
Family
nemotron

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
5.6 GB
5.4 + 0.2 KV
good
Q5_K_S5.57
6.3 GB
6.1 + 0.2 KV
good
Q5_K_M5.7
6.4 GB
6.2 + 0.2 KV
good
Q6_K6.56
7.3 GB
7.0 + 0.2 KV
excellent
Q8_08.5
9.2 GB
9.0 + 0.2 KV
lossless
FP1616
16.7 GB
16.5 + 0.2 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN NEMOTRON 3.5 BOLT E4B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (1)

IFBench61.1

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run nemotron-3.5-bolt:e4b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA

Find the best GPU for Nemotron 3.5 Bolt E4B

Build Hardware for Nemotron 3.5 Bolt E4B
▸ SPEC SHEET

Nemotron 3.5 Bolt E4B — 8B Dense.

▸ SPECIFICATIONS
PARAMETERS
8B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
64K tokens
CAPABILITIES
chat, reasoning, multilingual, tool_use, agentic
RELEASE DATE
2026-10-23
PROVIDER
NVIDIA
FAMILY
nemotron
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.4 GB94%
Q5_K_S5.576.1 GB96%
Q5_K_M5.76.2 GB96%
Q6_K6.567.0 GB97%
Q8_08.59.0 GB100%
FP161616.5 GB100%
§ 01BENCHMARK SCORES
aa_ifbench61.1
§ 02RUN COMMAND

Run Nemotron 3.5 Bolt E4B locally with Ollama — needs 5.4 GB VRAM at Q4_K_M:

$ollama run nemotron-3.5-bolt:e4b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M