hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
gemma4:12b-it-qat
OLLAMA GGUFgemma4 · 11.9B · Q4_0
Jun 25, 2026 · Apple M4 Pro
Global Score
66 vs 88
Hardware Fit
100 vs 86
Quality Score
52 vs 89
Hardware
hf.co/empero-ai/Qw… gemma4:12b-it-qat
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/empero-ai/Qw… gemma4:12b-it-qat
Tokens/sec40.230.0
First chunk325 ms686 ms
TTFT325 ms7.1 s
Load time3.1 s5.4 s
Memory usage4.7 GB7.1 GB
Memory %30%30%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:12b-it-qat
Speed
50/50
TTFT
6/20
Memory
30/30
Quality
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
gemma4:12b-it-qat
Reasoning
18/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest