lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
60 vs 66
Hardware Fit
80 vs 100
Quality Score
52 vs 52
Hardware
lfm2.5-thinking:1.2b hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M4 ProApple M4
Cores1410
RAM48 GB16 GB
GPUApple M4 ProApple M4
OSmacOS 26.4.1macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5-thinking:1.2b hf.co/empero-ai/Qw…
Tokens/sec227.026.5
First chunk60 ms447 ms
TTFT30.0 s447 ms
Load time0.7 s3.3 s
Memory usage2.6 GB4.8 GB
Memory %6%30%
HW Fit Score Breakdown
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
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
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
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