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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

Global Score
66 vs 91
Hardware Fit
100 vs 96
Quality Score
52 vs 89

Hardware

hf.co/empero-ai/Qw… gemma4:12b-mlx
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M2 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M2 Pro
OSmacOS 26.6.2macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… gemma4:12b-mlx
Tokens/sec40.224.7
First chunk101 ms610 ms
TTFT101 ms610 ms
Load time2.6 s3.6 s
Memory usage4.7 GB7.1 GB
Memory %30%45%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

gemma4:12b-mlx

Speed
50/50
TTFT
20/20
Memory
26/30

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-mlx

Reasoning
16/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View hf.co/empero-ai/Qw… details | View gemma4:12b-mlx details

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