Comprehensive Guide for Instruction Fine-tuning of LLaMa 3.2 using MonsterAPI

This guide teaches how to fine-tune a Llama-3.2 model for generating code using the Alpaca Python coding dataset and LORA, which preserves pre-trained knowledge while facilitating learning of new tasks. The process involves installing necessary dependencies, importing them, logging into an HF account, loading the model tokenizer, preparing the dataset, applying a chat template, pushing the dataset to Huggingface, and finally fine-tuning the model using MonsterAPI's Fine-tuning service. Customization options are available for various settings during the fine-tuning process.