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lfm2.5-1.2b-instruct-mlx

LM-STUDIO MLX

lfm2 · 1.2B · 8bit

Good

Mar 4, 2026 · Apple M4

phi:2.7b

OLLAMA GGUF

phi2 · 3B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

Global Score
68 vs 59
Hardware Fit
100 vs 100
Quality Score
54 vs 41

Hardware

lfm2.5-1.2b-instru… phi:2.7b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2.5-1.2b-instru… phi:2.7b
Tokens/sec77.356.6
First chunk177 msN/A
TTFT177 ms110 ms
Load timeN/A0.4 s
Memory usage1.2 GB2.2 GB
Memory %4%7%

HW Fit Score Breakdown

lfm2.5-1.2b-instruct-mlx

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

phi:2.7b

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

Quality

lfm2.5-1.2b-instruct-mlx

Reasoning
10/20
Coding
7/20
Instruction
16/20
Structured
12/15
Math
1/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong

phi:2.7b

Reasoning
7/20
Coding
4/20
Instruction
9/20
Structured
11/15
Math
8/15
Multilingual
2/10
Reasoning: Weak Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Poor

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