google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Sep 20, 2026 · AMD Ryzen 9 8940HX
liquid/lfm2-1.2b
LM-STUDIO GGUFlfm2 · 1.2B · Q8_0
Oct 1, 2026 · AMD Ryzen 7 4800H
Global Score
83 vs 69
Hardware Fit
96 vs 100
Quality Score
78 vs 56
Hardware
google/gemma-4-e4b liquid/lfm2-1.2b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHASUSTeK COMPUTER INC. ROG Strix G513IM_G513IM
CPUAMD Ryzen 9 8940HXAMD Ryzen 7 4800H
Cores3216
RAM15 GB15 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 11 Home Single Language 10.0.26200Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b liquid/lfm2-1.2b
Tokens/sec35.9169.5
First chunk9 ms27 ms
TTFT182 ms77 ms
Load timeN/AN/A
Memory usage6.5 GB3.4 GB
Memory %43%22%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
49/50
TTFT
20/20
Memory
27/30
liquid/lfm2-1.2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
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