nemotron-3-nano:4b

nemotron_h · 4.0B · Q4_K_M

THINKING MODEL

MacBook Pro (Apple M1 Pro)

16 GB · macOS 26.6.2

Tested on August 26, 2026 · Submitted by AAA

Top 2% Compare

Global Score

93 /100

Excellent

Hardware Fit

95/100

Quality

92/100

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ollama pull nemotron-3-nano:4b

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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: ±0.7
First chunk latency Delay before the first streamed chunk arrives from runtime: 270 ms
Time to first token How fast the model starts responding — lower is better: 2.9 s
Load time Time to load the model into memory before inference: 2.1 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: 1283
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~284

Score breakdown

Speed

50/50

Time to first token

15/20

Memory

30/30

Quality

Reasoning

18/20

Coding

17/20

Instruction following

17/20

Structured output

15/15

Math

15/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.15
Model format: GGUF
Hardware profile: ENTRY
Result hash: a67387afa8b7d2c26a1b6145e39444149778985ef982d0e0d2a2e80847b68371

Interpretation

Hardware fit: 95/100. Overall suitability: EXCELLENT (Global 93/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 31% (peak 37%)

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