unsloth

What problem does it solve?

This Skill provides expert guidance and resources for accelerating Large Language Model (LLM) fine-tuning using the Unsloth library, significantly reducing training time and memory consumption.

Core Features & Use Cases

• Fast Fine-Tuning: Achieve 2-5x faster training and 50-80% less memory usage.
• Optimization: Supports LoRA and QLoRA for efficient fine-tuning.
• Use Case: A machine learning engineer needs to fine-tune a large language model for a specific task but has limited GPU memory. This Skill provides the necessary documentation and best practices to use Unsloth for efficient fine-tuning on their available hardware.

Quick Start

Provide guidance on how to fine-tune a Llama model using Unsloth.