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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

deepseek-r1:1.5b

OLLAMA GGUF

qwen2 · 1.8B · Q4_K_M

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

Global Score
62 vs 37
Hardware Fit
77 vs 73
Quality Score
55 vs 22

Hardware

google/gemma-4-e4b deepseek-r1:1.5b
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 deepseek-r1:1.5b
Tokens/sec27.618.4
First chunk23 ms593 ms
TTFT480 ms30.0 s
Load timeN/A3.8 s
Memory usage13.2 GB1.0 GB
Memory %83%4%

HW Fit Score Breakdown

google/gemma-4-e4b

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

deepseek-r1:1.5b

Speed
43/50
TTFT
0/20
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

deepseek-r1:1.5b

Reasoning
4/20
Coding
0/20
Instruction
5/20
Structured
3/15
Math
7/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Weak Multilingual: Weak

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