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lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
80 vs 76
Hardware Fit
95 vs 100
Quality Score
73 vs 66

Hardware

lfm2.5:8b google/gemma-3-4b
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

lfm2.5:8b google/gemma-3-4b
Tokens/sec98.539.4
First chunk167 ms468 ms
TTFT2.5 s468 ms
Load time3.0 sN/A
Memory usage6.0 GB2.8 GB
Memory %37%9%

HW Fit Score Breakdown

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

google/gemma-3-4b

Speed
50/50
TTFT
20/20
Memory
30/30

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

google/gemma-3-4b

Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View lfm2.5:8b details | View google/gemma-3-4b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest