Back to leaderboard

mlx-community/Llama-3.2-1B-Instruct-4bit

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

aya:8b

OLLAMA GGUF

command-r · 8.0B · F16

Good

Mar 1, 2026 · Apple M4

Global Score
57 vs 66
Hardware Fit
100 vs 92
Quality Score
39 vs 55

Hardware

mlx-community/Llam… 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/Llam… aya:8b
Tokens/sec126.420.0
First chunk139 msN/A
TTFT139 ms300 ms
Load timeN/A0.9 s
Memory usage0.3 GB6.0 GB
Memory %1%19%

HW Fit Score Breakdown

mlx-community/Llama-3.2…

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

aya:8b

Speed
32/50
TTFT
30/20
Memory
30/30

Quality

mlx-community/Llama-3.2…

Reasoning
5/20
Coding
3/20
Instruction
15/20
Structured
10/15
Math
1/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate

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
View mlx-community/Llam… details | View aya:8b details

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