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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

gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
60 vs 76
Hardware Fit
80 vs 51
Quality Score
52 vs 87

Hardware

lfm2.5-thinking:1.2b gemma-3-27b-it-qat
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 gemma-3-27b-it-qat
Tokens/sec227.08.9
First chunk60 ms3976 ms
TTFT30.0 s4.0 s
Load time0.7 sN/A
Memory usage2.6 GB15.7 GB
Memory %6%25%

HW Fit Score Breakdown

lfm2.5-thinking:1.2b

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

gemma-3-27b-it-qat

Speed
12/50
TTFT
9/20
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

gemma-3-27b-it-qat

Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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