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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

lfm2.5:latest

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Good

Jun 20, 2026 · AMD RYZEN AI MAX+ 395

Global Score
83 vs 79
Hardware Fit
96 vs 100
Quality Score
78 vs 70

Hardware

google/gemma-4-e4b lfm2.5:latest
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHAZW GTR Pro
CPUAMD Ryzen 9 8940HXAMD RYZEN AI MAX+ 395
Cores3232
RAM15 GB125 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MRadeon 8060S
OSMicrosoft Windows 11 Home Single Language 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b lfm2.5:latest
Tokens/sec35.9134.4
First chunk9 ms226 ms
TTFT182 ms226 ms
Load timeN/A1.8 s
Memory usage6.5 GB6.9 GB
Memory %43%6%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

lfm2.5:latest

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

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