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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

gemma3n:latest

OLLAMA GGUF

gemma3n · 6.9B · Q4_K_M

Excellent

Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor

Global Score
59 vs 81
Hardware Fit
100 vs 100
Quality Score
41 vs 73

Hardware

qwen2.5-coder:0.5b gemma3n:latest
MachineFUJITSU ESPRIMO Q920Supermicro AS -2015HS-TNR
CPUIntel Core™ i5-4590TAMD EPYC 9654P 96-Core Processor
Cores464
RAM16 GB128 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterGH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSMicrosoft Windows 10 Pro 10.0.19045Ubuntu 24.04.3 LTS
Archx64x64
Power Modebalancedperformance

Performance

qwen2.5-coder:0.5b gemma3n:latest
Tokens/sec43.7108.7
First chunk290 ms333 ms
TTFT290 ms333 ms
Load time1.4 s4.5 s
Memory usage0.9 GB8.6 GB
Memory %6%7%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

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

gemma3n:latest

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

gemma3n:latest

Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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