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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

nvidia/nemotron-3-nano

LM-STUDIO MLX

nemotron_h · 30B · 4bit

Excellent

Mar 4, 2026 · Apple M4

Global Score
57 vs 84
Hardware Fit
81 vs 100
Quality Score
46 vs 77

Hardware

hf.co/ornith-ai/Or… nvidia/nemotron-3-…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/ornith-ai/Or… nvidia/nemotron-3-…
Tokens/sec18.647.9
First chunk303 ms465 ms
TTFT303 ms465 ms
Load time4.6 sN/A
Memory usage10.1 GB16.6 GB
Memory %63%52%

HW Fit Score Breakdown

hf.co/ornith-ai/Ornith-…

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

nvidia/nemotron-3-nano

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

nvidia/nemotron-3-nano

Reasoning
13/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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