hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 23, 2026 · Apple M1 Pro
gemma4:e2b-mlx
OLLAMA GGUFAug 26, 2026 · Apple M1 Pro
Global Score
66 vs 88
Hardware Fit
100 vs 79
Quality Score
52 vs 92
Hardware
hf.co/empero-ai/Qw… gemma4:e2b-mlx
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/empero-ai/Qw… gemma4:e2b-mlx
Tokens/sec40.472.8
First chunk93 ms134 ms
TTFT93 ms30.0 s
Load time2.7 s2.6 s
Memory usage4.7 GB5.7 GB
Memory %30%36%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:e2b-mlx
Speed
50/50
TTFT
0/20
Memory
29/30
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:e2b-mlx
Reasoning
19/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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