unsloth-sft

What problem does it solve?

This Skill streamlines the process of supervised fine-tuning (SFT) for large language models, enabling users to efficiently train models on instruction-following and conversational datasets.

Core Features & Use Cases

• Instruction Formatting: Prepares datasets for SFT using various formats like ShareGPT and Alpaca.
• Multi-turn Conversation Synthesis: Extends single-turn datasets into multi-turn conversations for better dialogue model training.
• Optimized Training: Leverages Unsloth's optimizations for faster and more memory-efficient fine-tuning.
• Use Case: Train a chatbot to follow specific instructions or engage in multi-turn dialogues by preparing your dataset with this Skill before feeding it to an SFT trainer.

Quick Start

Format your Alpaca dataset using the unsloth-sft skill to prepare it for multi-turn conversation training.