gemma4:e4b-it-q8_0
OLLAMA GGUFgemma4 · 8.0B · Q8_0
Aug 26, 2026 · Apple M1 Pro
liquid/lfm2-1.2b
LM-STUDIO GGUFlfm2 · 1.2B · Q8_0
Oct 1, 2026 · AMD Ryzen 7 4800H
Global Score
91 vs 69
Hardware Fit
88 vs 100
Quality Score
92 vs 56
Hardware
gemma4:e4b-it-q8_0 liquid/lfm2-1.2b
MachineMacBook ProASUSTeK COMPUTER INC. ROG Strix G513IM_G513IM
CPUApple M1 ProAMD Ryzen 7 4800H
Cores1016
RAM16 GB15 GB
GPUApple M1 ProAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.6.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
gemma4:e4b-it-q8_0 liquid/lfm2-1.2b
Tokens/sec30.0169.5
First chunk311 ms27 ms
TTFT6.2 s77 ms
Load time6.9 sN/A
Memory usage5.0 GB3.4 GB
Memory %31%22%
HW Fit Score Breakdown
gemma4:e4b-it-q8_0
Speed
50/50
TTFT
8/20
Memory
30/30
liquid/lfm2-1.2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:e4b-it-q8_0
Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest