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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

adityakale/kotakneo

OLLAMA GGUF
Good

Aug 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
85 vs 77
Hardware Fit
100 vs 100
Quality Score
79 vs 67

Hardware

qwen2.5:7b adityakale/kotakneo
MachineMACHENIKE L16PAZW GTR Pro
CPUIntel Gen Intel® Core™ i9-12900HXAMD RYZEN AI MAX+ 395
Cores2432
RAM32 GB125 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPURadeon 8060S
OSMicrosoft Windows 11 专业版 10.0.26300Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

qwen2.5:7b adityakale/kotakneo
Tokens/sec52.381.2
First chunk50 ms183 ms
TTFT50 ms183 ms
Load time2.0 s2.5 s
Memory usage4.4 GB17.8 GB
Memory %14%14%

HW Fit Score Breakdown

qwen2.5:7b

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

adityakale/kotakneo

Speed
50/50
TTFT
20/20
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

adityakale/kotakneo

Reasoning
11/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
View qwen2.5:7b details | View adityakale/kotakneo 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