mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

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

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

Global Score

77 vs 64

Hardware Fit

100 vs 92

Quality Score

67 vs 52

Hardware

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

MachineMac miniMacBook Pro

CPUApple M4 ProApple M1 Pro

Cores1410

RAM64 GB16 GB

GPUApple M4 ProApple M1 Pro

OSmacOS 15.7.4macOS 26.6.2

Archarm64arm64

Power Modebalancedbalanced

Performance

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

Tokens/sec54.329.9

First chunk277 ms100 ms

TTFT277 ms100 ms

Load timeN/A3.4 s

Memory usage4.2 GB8.9 GB

Memory %7%56%

HW Fit Score Breakdown

mlx-community/meta-llam…

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/meta-llam…

Reasoning

11/20

Coding

14/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

9/10

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

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/meta… 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