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Fine-tune a Model on Your Domain

Fine-tune Llama-3.1, Qwen2, or Mistral on a custom dataset. Measure the lift over the base model.

PythonPyTorchAxolotl or Hugging Face TRLWeights & BiasesGPU instance

About this project

Fine-tuning has matured into a routine production technique in 2026 (LoRA, QLoRA, full fine-tuning). This project teaches the workflow: data collection, instruction formatting, training with Axolotl or torchtune, evaluation, and serving the fine-tuned model. Pick a domain — legal text, medical, customer support — and prove the fine-tuned model beats the base.

Why build this in 2026?

Fine-tuning is the differentiation lever for vertical AI products. Engineers who can do this end-to-end are scarce.

What you'll ship

  • GitHub repo
Trained model on Hugging Face Hub
Eval report (base vs fine-tuned)

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Skills you'll practice

pythonpytorchmachine learning