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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

Global Score
68 vs 18
Hardware Fit
93 vs 53
Quality Score
57 vs 3

Hardware

google/gemma-4-e4b qwen3.5:0.8b
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 43
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b qwen3.5:0.8b
Tokens/sec26.29.4
First chunk17 ms799 ms
TTFT572 ms30.0 s
Load timeN/A3.3 s
Memory usage6.5 GB1.9 GB
Memory %41%8%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.5:0.8b

Speed
23/50
TTFT
0/20
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

qwen3.5:0.8b

Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View google/gemma-4-e4b details | View qwen3.5:0.8b details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest