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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

qwen2.5-coder:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
83 vs 68
Hardware Fit
96 vs 100
Quality Score
78 vs 54

Hardware

google/gemma-4-e4b qwen2.5-coder:1.5b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHLENOVO 20U30029MB
CPUAMD Ryzen 9 8940HXIntel Core™ i5-10210U
Cores328
RAM15 GB15 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MCometLake-U GT2 [UHD Graphics]
OSMicrosoft Windows 11 Home Single Language 10.0.26200Pop 24.04 LTS
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b qwen2.5-coder:1.5b
Tokens/sec35.921.8
First chunk9 ms499 ms
TTFT182 ms499 ms
Load timeN/A4.4 s
Memory usage6.5 GB1.5 GB
Memory %43%10%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

qwen2.5-coder:1.5b

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

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

qwen2.5-coder:1.5b

Reasoning
8/20
Coding
11/20
Instruction
13/20
Structured
11/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong
View google/gemma-4-e4b details | View qwen2.5-coder:1.5b details

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