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qwen2.5-coder:14b

OLLAMA GGUF

qwen2 · 14.8B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

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

Hardware

qwen2.5-coder:14b google/gemma-4-e4b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4LENOVO 82JQ
CPUIntel Core™ i5-14400FAMD Ryzen 7 5800H
Cores1616
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 5060 TiNVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 11 Professionnel 10.0.26200Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5-coder:14b google/gemma-4-e4b
Tokens/sec38.327.6
First chunk78 ms23 ms
TTFT78 ms480 ms
Load time6.3 sN/A
Memory usage8.8 GB13.2 GB
Memory %28%83%

HW Fit Score Breakdown

qwen2.5-coder:14b

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

google/gemma-4-e4b

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

Quality

qwen2.5-coder:14b

Reasoning
14/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen2.5-coder:14b details | View google/gemma-4-e4b 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