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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 11, 2026 · Intel Core™ i5-8350U

Global Score
83 vs 73
Hardware Fit
96 vs 93
Quality Score
78 vs 65

Hardware

google/gemma-4-e4b lfm2.5:latest
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHLENOVO 20L7CTO1WW
CPUAMD Ryzen 9 8940HXIntel Core™ i5-8350U
Cores328
RAM15 GB23 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MKaby Lake-R GT2 [UHD Graphics 620]
OSMicrosoft Windows 11 Home Single Language 10.0.26200Fedora Linux 44
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b lfm2.5:latest
Tokens/sec35.918.3
First chunk9 ms981 ms
TTFT182 ms981 ms
Load timeN/A8.0 s
Memory usage6.5 GB4.9 GB
Memory %43%21%

HW Fit Score Breakdown

google/gemma-4-e4b

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

lfm2.5:latest

Speed
43/50
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
14/20
Structured
13/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate 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