lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
richardyoung/qwythos-9b-abliterated:Q8_0
OLLAMA GGUFqwen35 · 9.0B · Q8_0
Jun 28, 2026 · Apple M4 Pro
Global Score
60 vs 65
Hardware Fit
80 vs 96
Quality Score
52 vs 52
Hardware
lfm2.5-thinking:1.2b richardyoung/qwyth…
MachineMacBook ProMac mini
CPUApple M4 ProApple M4 Pro
Cores1412
RAM48 GB24 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 26.4.1macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5-thinking:1.2b richardyoung/qwyth…
Tokens/sec227.025.3
First chunk60 ms397 ms
TTFT30.0 s397 ms
Load time0.7 s6.3 s
Memory usage2.6 GB8.3 GB
Memory %6%34%
HW Fit Score Breakdown
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
richardyoung/qwythos-9b…
Speed
47/50
TTFT
20/20
Memory
29/30
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
richardyoung/qwythos-9b…
Reasoning
18/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak 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