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qwen2.5:14b

OLLAMA GGUF

qwen2 · 14.8B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
90 vs 83
Hardware Fit
100 vs 96
Quality Score
85 vs 78

Hardware

qwen2.5:14b google/gemma-4-e4b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4ASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ i5-14400FAMD Ryzen 9 8940HX
Cores1632
RAM32 GB15 GB
GPUNVIDIA GeForce RTX 5060 TiNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSMicrosoft Windows 11 Professionnel 10.0.26200Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5:14b google/gemma-4-e4b
Tokens/sec37.835.9
First chunk74 ms9 ms
TTFT74 ms182 ms
Load time6.2 sN/A
Memory usage8.8 GB6.5 GB
Memory %28%43%

HW Fit Score Breakdown

qwen2.5:14b

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

google/gemma-4-e4b

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

Quality

qwen2.5:14b

Reasoning
17/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen2.5:14b 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