gemma4:e4b
OLLAMA GGUFgemma4 · 8.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
lfm2.5-1.2b-instruct-mlx
LM-STUDIO MLXlfm2 · 1.2B · 8bit
Mar 4, 2026 · Apple M4
Global Score
90 vs 68
Hardware Fit
88 vs 100
Quality Score
91 vs 54
Hardware
gemma4:e4b lfm2.5-1.2b-instru…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b lfm2.5-1.2b-instru…
Tokens/sec35.677.3
First chunk300 ms177 ms
TTFT6.1 s177 ms
Load time6.1 sN/A
Memory usage3.1 GB1.2 GB
Memory %19%4%
HW Fit Score Breakdown
gemma4:e4b
Speed
50/50
TTFT
8/20
Memory
30/30
lfm2.5-1.2b-instruct-mlx
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
lfm2.5-1.2b-instruct-mlx
Reasoning
10/20
Coding
7/20
Instruction
16/20
Structured
12/15
Math
1/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Strong 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