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microllm-50m:latest

OLLAMA GGUF

llama · 49.31M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

Global Score
28 vs 85
Hardware Fit
80 vs 95
Quality Score
5 vs 81

Hardware

microllm-50m:latest gemma4:e4b-mlx
MachineMac miniMacBook Pro
CPUApple M4 ProApple M2 Pro
Cores1210
RAM24 GB16 GB
GPUApple M4 ProApple M2 Pro
OSmacOS 15.6.1macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

microllm-50m:latest gemma4:e4b-mlx
Tokens/sec1000000.047.3
First chunk50 ms258 ms
TTFT30.0 s258 ms
Load time0.3 s5.1 s
Memory usage0.1 GB7.9 GB
Memory %1%49%

HW Fit Score Breakdown

microllm-50m:latest

Speed
50/50
TTFT
0/20
Memory
30/30

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
25/30

Quality

microllm-50m:latest

Reasoning
0/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

gemma4:e4b-mlx

Reasoning
15/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View microllm-50m:latest details | View gemma4:e4b-mlx details

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