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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

microllm-10m:latest

OLLAMA GGUF

llama · 10.00M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

Global Score
90 vs 33
Hardware Fit
78 vs 100
Quality Score
95 vs 4

Hardware

gemma4:e4b-mlx microllm-10m:latest
MachineMacBook ProMac mini
CPUApple M2 ProApple M4 Pro
Cores1012
RAM16 GB24 GB
GPUApple M2 ProApple M4 Pro
OSmacOS 26.5macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx microllm-10m:latest
Tokens/sec46.11544.8
First chunk284 ms12 ms
TTFT3.9 s12 ms
Load time0.1 s0.0 s
Memory usage10.8 GB0.0 GB
Memory %68%0%

HW Fit Score Breakdown

gemma4:e4b-mlx

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

microllm-10m: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-10m:latest

Reasoning
0/20
Coding
0/20
Instruction
4/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor 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