qwen2.5-1.5b-instruct
LM-STUDIO MLXqwen2 · 1.5B · 8bit
Mar 4, 2026 · Apple M4
aya:8b
OLLAMA GGUFcommand-r · 8.0B · F16
Mar 1, 2026 · Apple M4
Global Score
69 vs 66
Hardware Fit
100 vs 92
Quality Score
56 vs 55
Hardware
qwen2.5-1.5b-instr… aya:8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen2.5-1.5b-instr… aya:8b
Tokens/sec58.120.0
First chunk211 msN/A
TTFT211 ms300 ms
Load timeN/A0.9 s
Memory usage1.5 GB6.0 GB
Memory %5%19%
HW Fit Score Breakdown
qwen2.5-1.5b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
aya:8b
Speed
32/50
TTFT
30/20
Memory
30/30
Quality
qwen2.5-1.5b-instruct
Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
aya:8b
Reasoning
10/20
Coding
6/20
Instruction
13/20
Structured
15/15
Math
2/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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