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lfm2.5-1.2b-instruct-mlx

LM-STUDIO MLX

lfm2 · 1.2B · 8bit

Good

Mar 4, 2026 · Apple M4

qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Jun 19, 2026 · Apple M4 Max

Global Score
68 vs 89
Hardware Fit
100 vs 96
Quality Score
54 vs 86

Hardware

lfm2.5-1.2b-instru… qwen3-coder:30b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4 Max
Cores1016
RAM32 GB64 GB
GPUApple M4Apple M4 Max
OSmacOS 26.3macOS 26.5.1
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2.5-1.2b-instru… qwen3-coder:30b
Tokens/sec77.389.9
First chunk177 ms188 ms
TTFT177 ms188 ms
Load timeN/A4.0 s
Memory usage1.2 GB30.2 GB
Memory %4%47%

HW Fit Score Breakdown

lfm2.5-1.2b-instruct-mlx

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

qwen3-coder:30b

Speed
50/50
TTFT
20/20
Memory
26/30

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

qwen3-coder:30b

Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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