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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
62 vs 68
Hardware Fit
77 vs 93
Quality Score
55 vs 57

Hardware

google/gemma-4-e4b google/gemma-4-e4b
MachineLENOVO 82JQLENOVO 82JQ
CPUAMD Ryzen 7 5800HAMD Ryzen 7 5800H
Cores1616
RAM16 GB16 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b google/gemma-4-e4b
Tokens/sec27.626.2
First chunk23 ms17 ms
TTFT480 ms572 ms
Load timeN/AN/A
Memory usage13.2 GB6.5 GB
Memory %83%41%

HW Fit Score Breakdown

google/gemma-4-e4b

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

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

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

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor

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