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

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

mlx-community/gemma-3-1b-it-8bit

LM-STUDIO GGUF

Good

Mar 5, 2026 · Apple M4

Global Score

65 vs 72

Hardware Fit

94 vs 99

Quality Score

52 vs 61

Hardware

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

MachineMacBook ProMacBook Air

CPUApple M1 ProApple M4

Cores1010

RAM16 GB32 GB

GPUApple M1 ProApple M4

OSmacOS 26.6.2macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

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

Tokens/sec29.686.3

First chunk264 ms253 ms

TTFT264 ms253 ms

Load time3.8 sN/A

Memory usage8.4 GB1.1 GB

Memory %53%4%

HW Fit Score Breakdown

hf.co/bartowski/ai9star…

Speed

50/50

TTFT

20/20

Memory

24/30

mlx-community/gemma-3-1…

Speed

50/50

TTFT

20/20

Memory

29/30

Quality

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

mlx-community/gemma-3-1…

Reasoning

7/20

Coding

14/20

Instruction

16/20

Structured

14/15

Math

2/15

Multilingual

8/10

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

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