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lfm2.5-1.2b-instruct-mlx

LM-STUDIO MLX

lfm2 · 1.2B · 8bit

Good

Mar 4, 2026 · Apple M4

tinyllama:1.1b

OLLAMA GGUF

llama · 1B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

Global Score
68 vs 43
Hardware Fit
100 vs 100
Quality Score
54 vs 19

Hardware

lfm2.5-1.2b-instru… tinyllama:1.1b
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… tinyllama:1.1b
Tokens/sec77.3121.0
First chunk177 msN/A
TTFT177 ms82 ms
Load timeN/A0.4 s
Memory usage1.2 GB0.7 GB
Memory %4%2%

HW Fit Score Breakdown

lfm2.5-1.2b-instruct-mlx

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

tinyllama:1.1b

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

tinyllama:1.1b

Reasoning
2/20
Coding
1/20
Instruction
6/20
Structured
7/15
Math
0/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak
View lfm2.5-1.2b-instru… details | View tinyllama:1.1b 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