Tuning Large Language Models for Real-World ApplicationsChapter 511

Step 11: Deploy Modular Adapters

Section 11 of 13-~ 1 min read-Synced from Cuantum content

Imagine you fine-tune:

  • Adapter A: Customer Support
  • Adapter B: Legal Assistant
  • Adapter C: Technical Documentation

Instead of deploying three full 7B models, you deploy:

  • One base Mistral model
  • Three small adapter files

Switch adapters dynamically:

model.set_adapter("customer_support")

Code Breakdown

  • The idea is that you keep one shared base model in memory, and load or switch the active adapter depending on the task.
  • model.set_adapter("...") selects which adapter is active for forward passes and generation.
  • This is powerful because it keeps storage and deployment lightweight while still supporting many domain-specific behaviors.

This is how production systems reduce infrastructure cost dramatically.