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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

gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
59 vs 76
Hardware Fit
100 vs 51
Quality Score
41 vs 87

Hardware

qwen2.5-coder:0.5b gemma-3-27b-it-qat
MachineFUJITSU ESPRIMO Q920Mac mini
CPUIntel Core™ i5-4590TApple M4 Pro
Cores414
RAM16 GB64 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterApple M4 Pro
OSMicrosoft Windows 10 Pro 10.0.19045macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5-coder:0.5b gemma-3-27b-it-qat
Tokens/sec43.78.9
First chunk290 ms3976 ms
TTFT290 ms4.0 s
Load time1.4 sN/A
Memory usage0.9 GB15.7 GB
Memory %6%25%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

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

gemma-3-27b-it-qat

Speed
12/50
TTFT
9/20
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

gemma-3-27b-it-qat

Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong 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