fine-tuning

What problem does it solve?

This Skill enables users to adapt existing pretrained language models for specific tasks or datasets, improving their performance and relevance without the need for training from scratch.

Core Features & Use Cases

• Flexible Fine-tuning: Supports LoRA, QLoRA, and full fine-tuning methods.
• Diverse Dataset Handling: Accepts and converts various common dataset formats (Alpaca, ShareGPT, OpenAI chat, preference pairs).
• Use Case: Fine-tune a general-purpose LLM on your company's internal documentation to create a specialized chatbot that can answer employee questions accurately about company policies.

Quick Start

Use the fine-tuning skill to adapt the base model using the provided dataset in Alpaca format.