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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

adityakale/kotakneo

OLLAMA GGUF
Good

Aug 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
68 vs 77
Hardware Fit
93 vs 100
Quality Score
57 vs 67

Hardware

google/gemma-4-e4b adityakale/kotakneo
MachineLENOVO 82JQAZW GTR Pro
CPUAMD Ryzen 7 5800HAMD RYZEN AI MAX+ 395
Cores1632
RAM16 GB125 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPURadeon 8060S
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b adityakale/kotakneo
Tokens/sec26.281.2
First chunk17 ms183 ms
TTFT572 ms183 ms
Load timeN/A2.5 s
Memory usage6.5 GB17.8 GB
Memory %41%14%

HW Fit Score Breakdown

google/gemma-4-e4b

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

adityakale/kotakneo

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

Quality

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

adityakale/kotakneo

Reasoning
11/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
View google/gemma-4-e4b details | View adityakale/kotakneo details

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$ metrillm

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Or run without installing: npx metrillm@latest