nvidia/nemotron-3-nano
LM-STUDIO MLXnemotron_h · 30B · 4bit
Mar 4, 2026 · Apple M4
gemma2:2b
OLLAMA GGUFgemma2 · 2.6B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
84 vs 77
Hardware Fit
100 vs 100
Quality Score
77 vs 67
Hardware
nvidia/nemotron-3-… gemma2:2b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
nvidia/nemotron-3-… gemma2:2b
Tokens/sec47.955.1
First chunk465 msN/A
TTFT465 ms152 ms
Load timeN/A0.6 s
Memory usage16.6 GB2.8 GB
Memory %52%9%
HW Fit Score Breakdown
nvidia/nemotron-3-nano
Speed
50/50
TTFT
20/20
Memory
30/30
gemma2:2b
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
nvidia/nemotron-3-nano
Reasoning
13/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
gemma2:2b
Reasoning
11/20
Coding
13/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest