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qwen2.5-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

aya:8b

OLLAMA GGUF

command-r · 8.0B · F16

Good

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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest