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ornith-1.5:9b

OLLAMA GGUF

qwen35 · 9.0B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
69 vs 60
Hardware Fit
95 vs 80
Quality Score
58 vs 52

Hardware

ornith-1.5:9b lfm2.5-thinking:1.2b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4 Pro
Cores1014
RAM16 GB48 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced

Performance

ornith-1.5:9b lfm2.5-thinking:1.2b
Tokens/sec22.2227.0
First chunk341 ms60 ms
TTFT341 ms30.0 s
Load time4.8 s0.7 s
Memory usage7.1 GB2.6 GB
Memory %45%6%

HW Fit Score Breakdown

ornith-1.5:9b

Speed
49/50
TTFT
20/20
Memory
26/30

lfm2.5-thinking:1.2b

Speed
50/50
TTFT
0/20
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

lfm2.5-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

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest