hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
gemma4:e4b
OLLAMA GGUFgemma4 · 8.0B · Q4_K_M
Apr 3, 2026 · AMD RYZEN AI MAX+ 395
Global Score
66 vs 84
Hardware Fit
100 vs 98
Quality Score
52 vs 78
Hardware
hf.co/empero-ai/Qw… gemma4:e4b
MachineMacBook ProAZW GTR Pro
CPUApple M4AMD RYZEN AI MAX+ 395
Cores1032
RAM16 GB125 GB
GPUApple M4Radeon 8060S
OSmacOS 26.6.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance
Performance
hf.co/empero-ai/Qw… gemma4:e4b
Tokens/sec26.553.0
First chunk447 ms214 ms
TTFT447 ms214 ms
Load time3.3 s3.1 s
Memory usage4.8 GB15.0 GB
Memory %30%12%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:e4b
Speed
48/50
TTFT
20/20
Memory
30/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
gemma4:e4b
Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong 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