unsloth-orpo

What problem does it solve?

This Skill streamlines the process of aligning language models with human preferences by enabling one-step preference alignment using Odds Ratio Preference Optimization (ORPO), eliminating the need for separate reference models.

Core Features & Use Cases

• One-Step Alignment: Directly train models on chosen vs. rejected responses without a separate reward model.
• Efficient Alternative: Offers a more efficient and faster approach compared to DPO or RLHF.
• Use Case: Align a chatbot's responses to be more helpful and less harmful by providing it with examples of good and bad answers, and using ORPO to fine-tune its behavior in a single training run.

Quick Start

Use the unsloth-orpo skill to perform one-step preference alignment on your dataset.