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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

text-embedding-nomic-embed-text-v1.5

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score
60 vs 59
Hardware Fit
80 vs 94
Quality Score
52 vs 44

Hardware

lfm2.5-thinking:1.2b text-embedding-nom…
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 text-embedding-nom…
Tokens/sec227.045.3
First chunk60 ms2440 ms
TTFT30.0 s2.4 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

text-embedding-nomic-em…

Speed
40/50
TTFT
25/20
Memory
29/30

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

text-embedding-nomic-em…

Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View lfm2.5-thinking:1.2b details | View text-embedding-nom… 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