mlx-community/quantized-gemma-2b-it
LM-STUDIO GGUFMar 5, 2026 · Apple M4
aya:8b
OLLAMA GGUFcommand-r · 8.0B · F16
Mar 1, 2026 · Apple M4
Global Score
45 vs 66
Hardware Fit
100 vs 92
Quality Score
21 vs 55
Hardware
mlx-community/quan… aya:8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/quan… aya:8b
Tokens/sec44.420.0
First chunk336 msN/A
TTFT336 ms300 ms
Load timeN/A0.9 s
Memory usage0.1 GB6.0 GB
Memory %0%19%
HW Fit Score Breakdown
mlx-community/quantized…
Speed
50/50
TTFT
20/20
Memory
30/30
aya:8b
Speed
32/50
TTFT
30/20
Memory
30/30
Quality
mlx-community/quantized…
Reasoning
4/20
Coding
1/20
Instruction
9/20
Structured
4/15
Math
2/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Poor
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