unsloth-cpt

What problem does it solve?

This Skill addresses the challenges of continued pretraining (CPT) and domain adaptation in large language models, specifically focusing on stabilizing the training of embedding layers and language modeling heads.

Core Features & Use Cases

• Domain Adaptation: Tailor models to new languages or specialized domains (e.g., legal, medical).
• Embedding & LM Head Training: Optimizes training for embed_tokens and lm_head layers, crucial for new vocabulary.
• rsLoRA Stabilization: Utilizes Rank Stabilized LoRA to maintain stability with high LoRA ranks.
• Use Case: Adapt a general-purpose LLM to understand and generate medical reports by fine-tuning it on a corpus of medical literature, ensuring accurate terminology and context.

Quick Start

Configure a model for continued pretraining using Unsloth's specialized tools and settings.