lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
Global Score
60 vs 88
Hardware Fit
80 vs 70
Quality Score
52 vs 96
Hardware
lfm2.5-thinking:1.2b qwen3.8-27b-fable-…
MachineMacBook ProMacBook Pro
CPUApple M4 ProApple M4 Max
Cores1416
RAM48 GB128 GB
GPUApple M4 ProApple M4 Max
OSmacOS 26.4.1macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5-thinking:1.2b qwen3.8-27b-fable-…
Tokens/sec227.030.4
First chunk60 ms27 ms
TTFT30.0 s4.4 s
Load time0.7 sN/A
Memory usage2.6 GB19.9 GB
Memory %6%16%
HW Fit Score Breakdown
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
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
qwen3.8-27b-fable-fusio…
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest