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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

microllm-250m:latest

OLLAMA GGUF

llama · 256.74M · F16

Not Rec.

Jul 5, 2026 · Apple M4 Pro

Global Score
90 vs 34
Hardware Fit
78 vs 100
Quality Score
95 vs 6

Hardware

gemma4:e4b-mlx microllm-250m:latest
MachineMacBook ProMac mini
CPUApple M2 ProApple M4 Pro
Cores1012
RAM16 GB24 GB
GPUApple M2 ProApple M4 Pro
OSmacOS 26.5macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx microllm-250m:latest
Tokens/sec46.1291.6
First chunk284 ms50 ms
TTFT3.9 s79 ms
Load time0.1 s0.0 s
Memory usage10.8 GB0.6 GB
Memory %68%2%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
12/20
Memory
16/30

microllm-250m:latest

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

Quality

gemma4:e4b-mlx

Reasoning
19/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

microllm-250m:latest

Reasoning
1/20
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
View gemma4:e4b-mlx details | View microllm-250m:latest 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