ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
lfm2:24b
OLLAMA GGUFlfm2moe · 23.8B · Q4_K_M
Mar 7, 2026 · AMD RYZEN AI MAX+ 395
Global Score
69 vs 88
Hardware Fit
95 vs 100
Quality Score
58 vs 83
Hardware
ornith-1.5:9b lfm2:24b
MachineMacBook ProAZW GTR Pro
CPUApple M1 ProAMD RYZEN AI MAX+ 395
Cores1032
RAM16 GB125 GB
GPUApple M1 ProRadeon 8060S
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance
Performance
ornith-1.5:9b lfm2:24b
Tokens/sec22.285.3
First chunk341 ms123 ms
TTFT341 ms123 ms
Load time4.8 s2.9 s
Memory usage7.1 GB14.3 GB
Memory %45%12%
HW Fit Score Breakdown
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
lfm2:24b
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
Reasoning
14/20
Coding
17/20
Instruction
16/20
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest