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hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

richardyoung/qwythos-9b-abliterated:Q8_0

OLLAMA GGUF

qwen35 · 9.0B · Q8_0

Good

Jun 28, 2026 · Apple M4 Pro

Global Score
64 vs 65
Hardware Fit
92 vs 96
Quality Score
52 vs 52

Hardware

hf.co/bartowski/ai… richardyoung/qwyth…
MachineMacBook ProMac mini
CPUApple M1 ProApple M4 Pro
Cores1012
RAM16 GB24 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/bartowski/ai… richardyoung/qwyth…
Tokens/sec29.925.3
First chunk108 ms397 ms
TTFT108 ms397 ms
Load time3.4 s6.3 s
Memory usage8.9 GB8.3 GB
Memory %56%34%

HW Fit Score Breakdown

hf.co/bartowski/ai9star…

Speed
50/50
TTFT
20/20
Memory
22/30

richardyoung/qwythos-9b…

Speed
47/50
TTFT
20/20
Memory
29/30

Quality

hf.co/bartowski/ai9star…

Reasoning
17/20
Coding
14/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

richardyoung/qwythos-9b…

Reasoning
18/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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