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gemma4:e4b

OLLAMA GGUF

gemma4 · 8.0B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
90 vs 66
Hardware Fit
88 vs 100
Quality Score
91 vs 52

Hardware

gemma4:e4b hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b hf.co/empero-ai/Qw…
Tokens/sec35.626.5
First chunk300 ms447 ms
TTFT6.1 s447 ms
Load time6.1 s3.3 s
Memory usage3.1 GB4.8 GB
Memory %19%30%

HW Fit Score Breakdown

gemma4:e4b

Speed
50/50
TTFT
8/20
Memory
30/30

hf.co/empero-ai/Qwen3.8…

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

gemma4:e4b

Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest