Back to leaderboard

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

Global Score
60 vs 18
Hardware Fit
80 vs 59
Quality Score
52 vs 0

Hardware

lfm2.5-thinking:1.2b lfm2-24b-a2b
MachineMacBook ProMac mini
CPUApple M4 ProApple M4 Pro
Cores1414
RAM48 GB64 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 26.4.1macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2.5-thinking:1.2b lfm2-24b-a2b
Tokens/sec227.06.6
First chunk60 ms1025 ms
TTFT30.0 s1.0 s
Load time0.7 sN/A
Memory usage2.6 GB0.0 GB
Memory %6%0%

HW Fit Score Breakdown

lfm2.5-thinking:1.2b

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

lfm2-24b-a2b

Speed
9/50
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

lfm2-24b-a2b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View lfm2.5-thinking:1.2b details | View lfm2-24b-a2b 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