← 2b Models


See


xxxxx

(Modifying/customizing/fine-tune)

Part 4 

This is:
I already have a model.
How do I change it?
contains:
2.9.1 Fine-Tuning
2.9.2 LoRA
2.9.3 Adapters
2.9.4 Domain Specialization
These are all about:
changing an existing model

GPT: A tiny fine-tuning demo would be excellent
For example: M08 Tiny Fine Tune
  1. Load M01 model.pt, 2. Run inference, 
  3. Continue training for 100 epochs on slightly different data
  4. Save model_v2.pt, 5. Compare outputs before/after
This would teach the core idea:
  Fine-tuning = continue training an existing model on additional data.
  No transformers required. The exact same concept applies to LLMs, just at a much larger scale.
I actually think this would become one of the best demos in your 2b Models section because it bridges the gap between:
  training from scratch (Section 2), and
  using pre-trained models (Section 2b).
So yes—I would make Tiny Fine Tune the representative demo for 2b.3 Modifying models. It fits the section much better than the backdoor example.


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