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lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

Global Score
60 vs 75
Hardware Fit
80 vs 100
Quality Score
52 vs 64

Hardware

lfm2.5-thinking:1.2b exaone-3.5-2.4b-in…
MachineMacBook ProMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM48 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 26.4.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2.5-thinking:1.2b exaone-3.5-2.4b-in…
Tokens/sec227.037.0
First chunk60 ms288 ms
TTFT30.0 s288 ms
Load time0.7 sN/A
Memory usage2.6 GB2.4 GB
Memory %6%8%

HW Fit Score Breakdown

lfm2.5-thinking:1.2b

Speed
50/50
TTFT
0/20
Memory
30/30

exaone-3.5-2.4b-instruc…

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

Quality

lfm2.5-thinking:1.2b

Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong

exaone-3.5-2.4b-instruc…

Reasoning
9/20
Coding
13/20
Instruction
15/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View lfm2.5-thinking:1.2b details | View exaone-3.5-2.4b-in… 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