Back to leaderboard

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

OLLAMA GGUF

qwen35 · 8.95B · unknown

Marginal

Aug 23, 2026 · Apple M1 Pro

ministral-3-14b-instruct-2512

LM-STUDIO GGUF

mistral3 · 14B · Q5_K_M

Excellent

Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor

Global Score
57 vs 83
Hardware Fit
81 vs 90
Quality Score
46 vs 80

Hardware

hf.co/ornith-ai/Or… ministral-3-14b-in…
MachineMacBook ProASUS
CPUApple M1 ProAMD Ryzen 7 7800X3D 8-Core Processor
Cores1016
RAM16 GB31 GB
GPUApple M1 ProNVIDIA GeForce RTX 4090, Raphael
OSmacOS 26.6.2cachyos rolling
Archarm64x64
Power Modebalancedlow-power

Performance

hf.co/ornith-ai/Or… ministral-3-14b-in…
Tokens/sec18.683.7
First chunk303 ms16 ms
TTFT303 ms117 ms
Load time4.6 sN/A
Memory usage10.1 GB18.2 GB
Memory %63%60%

HW Fit Score Breakdown

hf.co/ornith-ai/Ornith-…

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

ministral-3-14b-instruc…

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

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

ministral-3-14b-instruc…

Reasoning
17/20
Coding
17/20
Instruction
15/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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