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microllm-250m:latest

OLLAMA GGUF

llama · 256.74M · F16

Not Rec.

Jul 5, 2026 · Apple M4 Pro

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
34 vs 83
Hardware Fit
100 vs 96
Quality Score
6 vs 78

Hardware

microllm-250m:latest google/gemma-4-e4b
MachineMac miniASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUApple M4 ProAMD Ryzen 9 8940HX
Cores1232
RAM24 GB15 GB
GPUApple M4 ProNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSmacOS 26.5.2Microsoft Windows 11 Home Single Language 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

microllm-250m:latest google/gemma-4-e4b
Tokens/sec291.635.9
First chunk50 ms9 ms
TTFT79 ms182 ms
Load time0.0 sN/A
Memory usage0.6 GB6.5 GB
Memory %2%43%

HW Fit Score Breakdown

microllm-250m:latest

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

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

Quality

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

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View microllm-250m:latest details | View google/gemma-4-e4b 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