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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

lfm2.5:latest

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Good

Jun 20, 2026 · AMD RYZEN AI MAX+ 395

Global Score
59 vs 79
Hardware Fit
62 vs 100
Quality Score
58 vs 70

Hardware

google/gemma-4-e4b lfm2.5:latest
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMAZW GTR Pro
CPUAMD Ryzen 7 4800HAMD RYZEN AI MAX+ 395
Cores1632
RAM15 GB125 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPURadeon 8060S
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b lfm2.5:latest
Tokens/sec7.1134.4
First chunk41 ms226 ms
TTFT1.2 s226 ms
Load time71.7 s1.8 s
Memory usage0.9 GB6.9 GB
Memory %6%6%

HW Fit Score Breakdown

google/gemma-4-e4b

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

lfm2.5:latest

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

lfm2.5:latest

Reasoning
2/20
Coding
11/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View lfm2.5:latest details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest