gemma3:270m
OLLAMA GGUFgemma3 · 268.10M · Q8_0
Mar 5, 2026 · Apple M3 Pro
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
50 vs 66
Hardware Fit
97 vs 100
Quality Score
30 vs 52
Hardware
gemma3:270m hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M3 ProApple M4
Cores1210
RAM36 GB16 GB
GPUApple M3 ProApple M4
OSmacOS 15.7.5macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma3:270m hf.co/empero-ai/Qw…
Tokens/sec239.226.5
First chunk127 ms447 ms
TTFT127 ms447 ms
Load time0.7 s3.3 s
Memory usage0.6 GB4.8 GB
Memory %2%30%
HW Fit Score Breakdown
gemma3:270m
Speed
50/50
TTFT
20/20
Memory
27/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma3:270m
Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
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
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