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

LM-STUDIO GGUF

Marginal

Mar 5, 2026 · Apple M4

hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

Global Score

57 vs 64

Hardware Fit

100 vs 92

Quality Score

39 vs 52

Hardware

mlx-community/Llam… hf.co/bartowski/ai…

MachineMacBook AirMacBook Pro

CPUApple M4Apple M1 Pro

Cores1010

RAM32 GB16 GB

GPUApple M4Apple M1 Pro

OSmacOS 26.3macOS 26.6.2

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/Llam… hf.co/bartowski/ai…

Tokens/sec126.429.9

First chunk139 ms108 ms

TTFT139 ms108 ms

Load timeN/A3.4 s

Memory usage0.3 GB8.9 GB

Memory %1%56%

HW Fit Score Breakdown

mlx-community/Llama-3.2…

Speed

50/50

TTFT

20/20

Memory

30/30

hf.co/bartowski/ai9star…

Speed

50/50

TTFT

20/20

Memory

22/30

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

hf.co/bartowski/ai9star…

Reasoning

17/20

Coding

14/20

Instruction

6/20

Structured

0/15

Math

14/15

Multilingual

1/10

Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

View mlx-community/Llam… details | View hf.co/bartowski/ai… 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