Platypus
This project delivers advanced solutions to enhance transformer architectures like LLaMA and LLaMA-2 using LoRA and PEFT. It focuses on efficiency and affordability, allowing users to access fine-tuned models on HuggingFace with seamless integration. Recent advancements include improved data processing and scripts for easy model setup and tuning. Discover various data refinement techniques to ensure model training accuracy and uniqueness, with detailed CLI guidelines for local deployment.
