hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 23, 2026 · Apple M1 Pro
gemma4:e2b
OLLAMA GGUFgemma4 · 5.1B · Q4_K_M
May 24, 2026 · Intel Gen Intel® Core™ i7-1355U
Global Score
66 vs 72
Hardware Fit
100 vs 71
Quality Score
52 vs 72
Hardware
hf.co/empero-ai/Qw… gemma4:e2b
MachineMacBook ProDell Inc. Inspiron 15 3530
CPUApple M1 ProIntel Gen Intel® Core™ i7-1355U
Cores1012
RAM16 GB31 GB
GPUApple M1 ProRaptor Lake-P [Iris Xe Graphics]
OSmacOS 26.6.2cachyos rolling
Archarm64x64
Power Modebalancedlow-power
Performance
hf.co/empero-ai/Qw… gemma4:e2b
Tokens/sec40.410.8
First chunk93 ms1408 ms
TTFT93 ms1.4 s
Load time2.7 s6.0 s
Memory usage4.7 GB7.2 GB
Memory %30%23%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:e2b
Speed
21/50
TTFT
20/20
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:e2b
Reasoning
10/20
Coding
16/20
Instruction
14/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Weak Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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