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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

lfm2.5:latest

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Good

Jun 11, 2026 · Intel Core™ i5-8350U

Global Score
62 vs 73
Hardware Fit
77 vs 93
Quality Score
55 vs 65

Hardware

google/gemma-4-e4b lfm2.5:latest
MachineLENOVO 82JQLENOVO 20L7CTO1WW
CPUAMD Ryzen 7 5800HIntel Core™ i5-8350U
Cores168
RAM16 GB23 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUKaby Lake-R GT2 [UHD Graphics 620]
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Fedora Linux 44
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b lfm2.5:latest
Tokens/sec27.618.3
First chunk23 ms981 ms
TTFT480 ms981 ms
Load timeN/A8.0 s
Memory usage13.2 GB4.9 GB
Memory %83%21%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

lfm2.5:latest

Speed
43/50
TTFT
20/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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

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