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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 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
34 vs 68
Hardware Fit
100 vs 93
Quality Score
6 vs 57

Hardware

microllm-250m:latest google/gemma-4-e4b
MachineMac miniLENOVO 82JQ
CPUApple M4 ProAMD Ryzen 7 5800H
Cores1216
RAM24 GB16 GB
GPUApple M4 ProNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.5.2Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

microllm-250m:latest google/gemma-4-e4b
Tokens/sec291.626.2
First chunk50 ms17 ms
TTFT79 ms572 ms
Load time0.0 sN/A
Memory usage0.6 GB6.5 GB
Memory %2%41%

HW Fit Score Breakdown

microllm-250m:latest

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

google/gemma-4-e4b

Speed
46/50
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
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
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