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

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

Global Score
64 vs 66
Hardware Fit
92 vs 100
Quality Score
52 vs 52

Hardware

hf.co/bartowski/ai… 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/bartowski/ai… hf.co/empero-ai/Qw…
Tokens/sec29.940.4
First chunk100 ms93 ms
TTFT100 ms93 ms
Load time3.4 s2.7 s
Memory usage8.9 GB4.7 GB
Memory %56%30%

HW Fit Score Breakdown

hf.co/bartowski/ai9star…

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

hf.co/empero-ai/Qwen3.8…

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

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

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