nemotron-3-nano:4b

nemotron_h · 4.0B · Q4_K_M

Microsoft WSL (AMD Ryzen 5 5500)

8 GB · Ubuntu 26.04.1 LTS

Tested on October 12, 2026 · Submitted by john_yuki

Top 26% Compare

Global Score

84 /100

Excellent

Hardware Fit

99/100

Quality

78/100

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ollama pull nemotron-3-nano:4b

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Hardware

Machine: Microsoft WSL
CPU: AMD Ryzen 5 5500
Cores: 12 threads (6 cores)
RAM: 8 GB
GPU: Integrated / Unknown
OS: Ubuntu 26.04.1 LTS
Arch: x64

Performance

Tokens/sec Tokens generated per second — higher is better: 109.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±2.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 349 ms
Time to first token How fast the model starts responding — lower is better: 349 ms
Load time Time to load the model into memory before inference: 7.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 2.6 GB (34%)
Total tokens Total number of tokens generated across all benchmark prompts: 889

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

29/30

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 0.34.0
Model format: GGUF
Hardware profile: ENTRY
Result hash: a5eb90f439a4281835e823e717c8ba5c7c616e47027cb9e9625994533456c531

Interpretation

Hardware fit: 99/100. Overall suitability: EXCELLENT (Global 84/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 26% (peak 33%)

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