hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
gemma4:e2b
OLLAMA GGUFgemma4 · 5.1B · Q4_K_M
Aug 28, 2026 · Intel Core™ i5-10210U
Global Score
66 vs 76
Hardware Fit
100 vs 82
Quality Score
52 vs 73
Hardware
hf.co/empero-ai/Qw… gemma4:e2b
MachineMacBook ProLENOVO 20U30029MB
CPUApple M1 ProIntel Core™ i5-10210U
Cores108
RAM16 GB15 GB
GPUApple M1 ProCometLake-U GT2 [UHD Graphics]
OSmacOS 26.6.2Pop 24.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
hf.co/empero-ai/Qw… gemma4:e2b
Tokens/sec40.213.5
First chunk325 ms1270 ms
TTFT325 ms1.3 s
Load time3.1 s13.4 s
Memory usage4.7 GB6.5 GB
Memory %30%42%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:e2b
Speed
35/50
TTFT
20/20
Memory
27/30
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
15/20
Instruction
16/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong 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