nemotron-3-nano:latest

nemotron_h_moe · 31.6B · Q4_K_M

AZW GTR Pro (AMD RYZEN AI MAX+ 395)

125 GB · Ubuntu 24.04.4 LTS

Tested on March 13, 2026

Top 6% Compare

Global Score

87 /100

Excellent

Hardware Fit

100/100

Quality

82/100

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Ollama

ollama pull nemotron-3-nano:latest

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ollama.com/library/nemotron-3-nano

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GGUF versions & quantizations

Hardware

Machine: AZW GTR Pro
CPU: AMD RYZEN AI MAX+ 395
Cores: 32 threads (16 cores)
Frequency: 3 GHz
RAM: 125 GB
GPU: Radeon 8060S
OS: Ubuntu 24.04.4 LTS
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 59.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 199 ms
Time to first token How fast the model starts responding — lower is better: 199 ms
Load time Time to load the model into memory before inference: 0.1 s
Memory usage RAM consumed during inference — percentage of total system memory: 26.0 GB (21%)
Total tokens Total number of tokens generated across all benchmark prompts: 1111

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

16/20

Coding

18/20

Instruction following

16/20

Structured output

15/15

Math

7/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 6e7604ad1866b6f40b108a991aa0a26e41e207393344d6db1f01c63bd94fe609

Interpretation

Hardware fit: 100/100. Overall suitability: EXCELLENT (Global 87/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Warnings

CPU appears throttled (2.4 GHz current vs 3.0 GHz nominal, 79%).

Bench Environment

Thermal: nominal CPU load: avg 3% (peak 4%)

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