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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
62 vs 81
Hardware Fit
77 vs 100
Quality Score
55 vs 73

Hardware

google/gemma-4-e4b llama3.1:8b
MachineLENOVO 82JQGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUAMD Ryzen 7 5800HIntel Core™ i5-14400F
Cores1616
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce RTX 5060 Ti
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 11 Professionnel 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b llama3.1:8b
Tokens/sec27.670.2
First chunk23 ms58 ms
TTFT480 ms58 ms
Load timeN/A4.1 s
Memory usage13.2 GB4.9 GB
Memory %83%15%

HW Fit Score Breakdown

google/gemma-4-e4b

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

llama3.1:8b

Speed
50/50
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

llama3.1:8b

Reasoning
12/20
Coding
18/20
Instruction
15/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View google/gemma-4-e4b details | View llama3.1:8b 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