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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

qwen2.5-coder:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
81 vs 68
Hardware Fit
84 vs 100
Quality Score
79 vs 54

Hardware

google/gemma-4-e4b qwen2.5-coder:1.5b
MachineGMKtec EVO-X3LENOVO 20U30029MB
CPUAMD RYZEN AI MAX+ 395Intel Core™ i5-10210U
Cores328
RAM120 GB15 GB
GPUAMD Radeon(TM) 8060S GraphicsCometLake-U GT2 [UHD Graphics]
OSMicrosoft Windows 11 Pro 10.0.26300Pop 24.04 LTS
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b qwen2.5-coder:1.5b
Tokens/sec47.321.8
First chunk23 ms499 ms
TTFT1.9 s499 ms
Load timeN/A4.4 s
Memory usage13.2 GB1.5 GB
Memory %11%10%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
44/50
TTFT
10/20
Memory
30/30

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
7/15
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