[MODULE] A module on quantization

[michaelshekasta]

I’d like to propose a new module aimed at optimizing language models for efficient CPU-based inference, reducing reliance on GPUs. The module covers three key areas: quantization techniques, the GGUF model format, and utilizing Intel and MLX accelerators for optimized inference.

What are you thinking?

[burtenshaw]

Hi @michaelshekasta . Sorry to go quiet on this. I've been wrapped up on an agents course for HF learn this week. I will review it tomorrow.

[michaelshekasta]

@burtenshaw a gentle reminder

[burtenshaw]

@michaelshekasta This is a great start. I've implemented a more typical structure. I would suggest that you now follow on with next stage:

• find references for each section of the module.
• add them to the references section of the markdown pages.
• add bullet point note to each section of the page with key topics.
• highlight sections that you don't understand or need help on

Once you're ready, I'll review and complete the module's prose.