fine-tuning-expert

What problem does it solve?

This Skill provides guidance for adapting large language models through PEFT methods (e.g., LoRA/QLoRA), careful dataset curation, and robust evaluation to achieve production-ready performance.

Core Features & Use Cases

• PEFT Methods: LoRA/QLoRA adapters and other parameter-efficient strategies
• Dataset Preparation: Quality checks and formatting for training data
• Training & Evaluation: Hyperparameter guidance and benchmarking
• Deployment Prep: Merging adapters, quantization, and inference optimization

Quick Start

Fine-tune a 7B base model on your customer-support dataset using LoRA adapters, then evaluate on a held-out set.