Fine-Tune Llama 3.2: Easy Local Deployment

In the video titled “EASIEST Way to Fine-Tune LLAMA-3.2 and Run it in Olama” by Prompt Engineering, the host demonstrates how to fine-tune Meta’s Llama 3.2 model using Unsloth and run it locally with Olama. The tutorial covers preparing the FindTom100K dataset, adjusting prompt templates, and adding LoRA adapters for efficient fine-tuning. With these steps, users can deploy custom fine-tuned Llama 3.2 models on their own devices, enabling powerful AI capabilities without relying on cloud resources. The video emphasizes the importance of local deployment for enhanced performance and accessibility.