qwen2.5-coder:0.5b
OLLAMA GGUFqwen2 · 494.03M · Q4_K_M
Nov 13, 2026 · Intel Core™ i5-4590T
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
59 vs 78
Hardware Fit
100 vs 100
Quality Score
41 vs 68
Hardware
qwen2.5-coder:0.5b lfm2-24b-a2b
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 lfm2-24b-a2b
Tokens/sec43.7105.9
First chunk290 ms252 ms
TTFT290 ms252 ms
Load time1.4 sN/A
Memory usage0.9 GB0.1 GB
Memory %6%0%
HW Fit Score Breakdown
qwen2.5-coder:0.5b
Speed
50/50
TTFT
20/20
Memory
30/30
lfm2-24b-a2b
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
lfm2-24b-a2b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest