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google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

liquid/lfm2-1.2b

LM-STUDIO GGUF

lfm2 · 1.2B · Q8_0

Good

Oct 1, 2026 · AMD Ryzen 7 4800H

Global Score
59 vs 69
Hardware Fit
62 vs 100
Quality Score
58 vs 56

Hardware

google/gemma-4-e4b liquid/lfm2-1.2b
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMASUSTeK COMPUTER INC. ROG Strix G513IM_G513IM
CPUAMD Ryzen 7 4800HAMD Ryzen 7 4800H
Cores1616
RAM15 GB15 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b liquid/lfm2-1.2b
Tokens/sec7.1169.5
First chunk41 ms27 ms
TTFT1.2 s77 ms
Load time71.7 sN/A
Memory usage0.9 GB3.4 GB
Memory %6%22%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
12/50
TTFT
20/20
Memory
30/30

liquid/lfm2-1.2b

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

Quality

google/gemma-4-e4b

Reasoning
6/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest