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qwen2.5-coder:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Nov 13, 2026 · Intel Core™ i5-4590T

qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

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

Global Score
59 vs 85
Hardware Fit
100 vs 100
Quality Score
41 vs 79

Hardware

qwen2.5-coder:0.5b qwen2.5:7b
MachineFUJITSU ESPRIMO Q920MACHENIKE L16P
CPUIntel Core™ i5-4590TIntel Gen Intel® Core™ i9-12900HX
Cores424
RAM16 GB32 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterNVIDIA GeForce RTX 4060 Laptop GPU
OSMicrosoft Windows 10 Pro 10.0.19045Microsoft Windows 11 专业版 10.0.26300
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5-coder:0.5b qwen2.5:7b
Tokens/sec43.752.4
First chunk290 ms48 ms
TTFT290 ms48 ms
Load time1.4 s2.0 s
Memory usage0.9 GB4.4 GB
Memory %6%14%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

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

qwen2.5:7b

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

Quality

qwen2.5-coder:0.5b

Reasoning
7/20
Coding
8/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

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

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