nemotron-3-nano:4b

nemotron_h · 4.0B · Q4_K_M

MacBook Pro (Apple M1 Pro)

16 GB · macOS 26.6.2

Tested on August 25, 2026 · Submitted by AAA

Top 23% Compare

Global Score

85 /100

Excellent

Hardware Fit

100/100

Quality

78/100

Get this model

🦙

Ollama

ollama pull nemotron-3-nano:4b

View on Ollama Library

ollama.com/library/nemotron-3-nano

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

GGUF versions & quantizations

Hardware

Machine: MacBook Pro
CPU: Apple M1 Pro
Cores: 10 total (8 perf + 2 eff)
Frequency: 2.4 GHz
RAM: 16 GB LPDDR5
GPU: Apple M1 Pro
OS: macOS 26.6.2
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 31.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 265 ms
Time to first token How fast the model starts responding — lower is better: 265 ms
Load time Time to load the model into memory before inference: 2.2 s
Memory usage RAM consumed during inference — percentage of total system memory: 4.1 GB (25%)
Total tokens Total number of tokens generated across all benchmark prompts: 900

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

16/20

Coding

14/20

Instruction following

16/20

Structured output

14/15

Math

8/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.15
Model format: GGUF
Hardware profile: ENTRY
Result hash: 6f205942c69407dc707588725dca9b476a9833ba8f83de87a7e00541a11ced88

Interpretation

Hardware fit: 100/100. Overall suitability: EXCELLENT (Global 85/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 32% (peak 38%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest