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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3.8:27b

OLLAMA GGUF

qwen35 · 27.3B · Q4_K_M

Excellent

Aug 15, 2026 · AMD RYZEN AI MAX+ 395

Global Score
62 vs 80
Hardware Fit
77 vs 66
Quality Score
55 vs 86

Hardware

google/gemma-4-e4b qwen3.8:27b
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 qwen3.8:27b
Tokens/sec27.618.4
First chunk23 ms587 ms
TTFT480 ms587 ms
Load timeN/A7.4 s
Memory usage13.2 GB17.4 GB
Memory %83%14%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.8:27b

Speed
17/50
TTFT
19/20
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

qwen3.8:27b

Reasoning
17/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.8:27b 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