Artificial Intelligence
Fine tuning Llama models is one of the most in-demand skills in AI right now. Instead of relying only on closed APIs, developers are increasingly working with open-source models like Llama 3.
Why fine tune Llama?
- Better domain-specific accuracy
- Lower API dependency
- More control over model behavior
- Cost optimization
What is LoRA and QLoRA?
LoRA (Low-Rank Adaptation) allows you to fine tune Llama models efficiently without retraining billions of parameters.
pip install transformers peft accelerate bitsandbytesBasic fine tuning workflow
Dataset ? Tokenization ? Model Loading ? LoRA Setup ? Training ? EvaluationCommon mistakes during Llama fine tuning
- Using poor-quality datasets
- Improper learning rates
- Ignoring validation metrics
- Overfitting small datasets
Final Advice
Learning fine tuning Llama is not just about running scripts. It?s about understanding data preparation, evaluation, and deployment strategy.
