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microllm-50m:latest

OLLAMA GGUF

llama · 49.31M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

gemma-4-e2b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
28 vs 79
Hardware Fit
80 vs 81
Quality Score
5 vs 78

Hardware

microllm-50m:latest gemma-4-e2b-it@q5_…
MachineMac miniDocker Container
CPUApple M4 ProIntel Gen Intel® Core™ i9-11900H
Cores1216
RAM24 GB15 GB
GPUApple M4 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 15.6.1Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

microllm-50m:latest gemma-4-e2b-it@q5_…
Tokens/sec1000000.017.2
First chunk50 ms7 ms
TTFT30.0 s1.6 s
Load time0.3 s8.9 s
Memory usage0.1 GB0.0 GB
Memory %1%0%

HW Fit Score Breakdown

microllm-50m:latest

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

gemma-4-e2b-it@q5_k_xl

Speed
32/50
TTFT
19/20
Memory
30/30

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

gemma-4-e2b-it@q5_k_xl

Reasoning
11/20
Coding
17/20
Instruction
17/20
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 gemma-4-e2b-it@q5_… 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