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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

unsloth-phi-4

LM-STUDIO MLX

llama · 4bit

Excellent

Mar 6, 2026 · Apple M4 Pro

Global Score
60 vs 82
Hardware Fit
80 vs 88
Quality Score
52 vs 80

Hardware

lfm2.5-thinking:1.2b unsloth-phi-4
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 unsloth-phi-4
Tokens/sec227.027.4
First chunk60 ms457 ms
TTFT30.0 s457 ms
Load time0.7 sN/A
Memory usage2.6 GB7.7 GB
Memory %6%12%

HW Fit Score Breakdown

lfm2.5-thinking:1.2b

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

unsloth-phi-4

Speed
38/50
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

unsloth-phi-4

Reasoning
15/20
Coding
19/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View lfm2.5-thinking:1.2b details | View unsloth-phi-4 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