mlx-community/quantized-gemma-2b-it
LM-STUDIO GGUFMar 5, 2026 · Apple M4
gemma4:e4b
OLLAMA GGUFgemma4 · 8.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
45 vs 90
Hardware Fit
100 vs 88
Quality Score
21 vs 91
Hardware
mlx-community/quan… gemma4:e4b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/quan… gemma4:e4b
Tokens/sec44.435.6
First chunk336 ms300 ms
TTFT336 ms6.1 s
Load timeN/A6.1 s
Memory usage0.1 GB3.1 GB
Memory %0%19%
HW Fit Score Breakdown
mlx-community/quantized…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:e4b
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
mlx-community/quantized…
Reasoning
4/20
Coding
1/20
Instruction
9/20
Structured
4/15
Math
2/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Poor
gemma4:e4b
Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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