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qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

Global Score
85 vs 81
Hardware Fit
100 vs 84
Quality Score
79 vs 79

Hardware

qwen2.5:7b google/gemma-4-e4b
MachineMACHENIKE L16PGMKtec EVO-X3
CPUIntel Gen Intel® Core™ i9-12900HXAMD RYZEN AI MAX+ 395
Cores2432
RAM32 GB120 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUAMD Radeon(TM) 8060S Graphics
OSMicrosoft Windows 11 专业版 10.0.26300Microsoft Windows 11 Pro 10.0.26300
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5:7b google/gemma-4-e4b
Tokens/sec52.347.3
First chunk50 ms23 ms
TTFT50 ms1.9 s
Load time2.0 sN/A
Memory usage4.4 GB13.2 GB
Memory %14%11%

HW Fit Score Breakdown

qwen2.5:7b

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

google/gemma-4-e4b

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

Quality

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen2.5:7b 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