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gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

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 M1 Pro
Cores1210
RAM36 GB16 GB
GPUApple M3 ProApple M1 Pro
OSmacOS 15.7.5macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma3:270m hf.co/empero-ai/Qw…
Tokens/sec239.240.4
First chunk127 ms93 ms
TTFT127 ms93 ms
Load time0.7 s2.7 s
Memory usage0.6 GB4.7 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
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
View gemma3:270m details | View hf.co/empero-ai/Qw… details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest