ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
69 vs 78
Hardware Fit
95 vs 100
Quality Score
58 vs 68
Hardware
ornith-1.5:9b lfm2-24b-a2b
MachineMacBook ProMac mini
CPUApple M1 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
ornith-1.5:9b lfm2-24b-a2b
Tokens/sec22.2105.9
First chunk341 ms252 ms
TTFT341 ms252 ms
Load time4.8 sN/A
Memory usage7.1 GB0.1 GB
Memory %45%0%
HW Fit Score Breakdown
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
ornith-1.5:9b
Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
lfm2-24b-a2b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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