Tutorials

Practical implementation routes, prepared for code-heavy follow-ups.

The tutorial section is reserved for runnable workflows, hardware fit guides, and copy-pasteable setup paths. These pages are intentionally simple now so they can absorb larger code examples later.

Code sample slot reserved9 min

How to Implement TurboQuant in Python

A step-by-step placeholder for the practical implementation guide covering environment setup, code structure, and validation workflow.

implement turboquant pythonUpdated 2026-04-22
Hardware guide placeholder8 min

Run Llama 3 on 8GB VRAM

A hardware-first tutorial placeholder focused on quantization choices, memory budgeting, and realistic tradeoffs for consumer GPUs.

run llama 3 on 8GB VRAMUpdated 2026-04-22