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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

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
60 vs 68
Hardware Fit
80 vs 93
Quality Score
52 vs 57

Hardware

lfm2.5-thinking:1.2b google/gemma-4-e4b
MachineMacBook ProLENOVO 82JQ
CPUApple M4 ProAMD Ryzen 7 5800H
Cores1416
RAM48 GB16 GB
GPUApple M4 ProNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.4.1Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

lfm2.5-thinking:1.2b google/gemma-4-e4b
Tokens/sec227.026.2
First chunk60 ms17 ms
TTFT30.0 s572 ms
Load time0.7 sN/A
Memory usage2.6 GB6.5 GB
Memory %6%41%

HW Fit Score Breakdown

lfm2.5-thinking:1.2b

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

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

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

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
View lfm2.5-thinking:1.2b details | View google/gemma-4-e4b 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