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microllm-250m:latest

OLLAMA GGUF

llama · 256.74M · F16

Not Rec.

Jul 5, 2026 · Apple M4 Pro

liquid/lfm2-1.2b

LM-STUDIO GGUF

lfm2 · 1.2B · Q8_0

Good

Oct 1, 2026 · AMD Ryzen 7 4800H

Global Score
34 vs 69
Hardware Fit
100 vs 100
Quality Score
6 vs 56

Hardware

microllm-250m:latest liquid/lfm2-1.2b
MachineMac miniASUSTeK COMPUTER INC. ROG Strix G513IM_G513IM
CPUApple M4 ProAMD Ryzen 7 4800H
Cores1216
RAM24 GB15 GB
GPUApple M4 ProAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.5.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

microllm-250m:latest liquid/lfm2-1.2b
Tokens/sec291.6169.5
First chunk50 ms27 ms
TTFT79 ms77 ms
Load time0.0 sN/A
Memory usage0.6 GB3.4 GB
Memory %2%22%

HW Fit Score Breakdown

microllm-250m:latest

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

liquid/lfm2-1.2b

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

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

liquid/lfm2-1.2b

Reasoning
9/20
Coding
7/20
Instruction
14/20
Structured
12/15
Math
5/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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