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LoRA & QLoRA Hands-On: Custom Models on a Budget
The practitioner's manual: ranks and alphas that matter, the training knobs worth touching, debugging bad runs, merging vs hot-swapping adapters, and serving your tuned model cheaply.
3 sections·7 lessons
What you'll learn
1. LoRA Internals (Just Enough)
- Video: fine-tune your own LLM with LoRA on a custom dataset
- Ranks, alphas, and target modules
- Check: internals
2. Training Runs That Converge
- Hyperparameters, monitoring, and debugging
- Check: training runs
3. Merge, Serve, Ship
- From adapter file to production endpoint
- Final check: serving
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