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hf.co/ornith-ai/Ornith-1.0-9B-GGUF:Q8_0

OLLAMA GGUF

qwen35 · 8.95B · unknown

Marginal

Aug 23, 2026 · Apple M1 Pro

hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

Global Score
57 vs 66
Hardware Fit
81 vs 100
Quality Score
46 vs 52

Hardware

hf.co/ornith-ai/Or… hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/ornith-ai/Or… hf.co/empero-ai/Qw…
Tokens/sec18.640.2
First chunk303 ms325 ms
TTFT303 ms325 ms
Load time4.6 s3.1 s
Memory usage10.1 GB4.7 GB
Memory %63%30%

HW Fit Score Breakdown

hf.co/ornith-ai/Ornith-…

Speed
42/50
TTFT
20/20
Memory
19/30

hf.co/empero-ai/Qwen3.8…

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

hf.co/ornith-ai/Ornith-…

Reasoning
14/20
Coding
13/20
Instruction
5/20
Structured
1/15
Math
13/15
Multilingual
0/10
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

hf.co/empero-ai/Qwen3.8…

Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

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