lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
gemma4:e4b-mlx
OLLAMA GGUFAug 24, 2026 · Apple M1 Pro
Global Score
80 vs 90
Hardware Fit
95 vs 86
Quality Score
73 vs 92
Hardware
lfm2.5:8b gemma4:e4b-mlx
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5:8b gemma4:e4b-mlx
Tokens/sec98.541.8
First chunk167 ms359 ms
TTFT2.5 s4.2 s
Load time3.0 s5.1 s
Memory usage6.0 GB7.9 GB
Memory %37%49%
HW Fit Score Breakdown
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
gemma4:e4b-mlx
Speed
50/50
TTFT
11/20
Memory
25/30
Quality
lfm2.5:8b
Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
gemma4:e4b-mlx
Reasoning
19/20
Coding
19/20
Instruction
14/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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