unsloth-long-context

What problem does it solve?

This Skill addresses the challenge of training large language models on extremely long text sequences, which often leads to Out-of-Memory (OOM) errors and performance degradation.

Core Features & Use Cases

• Extended Context Training: Enables training models with context lengths of 89K+ tokens on high-VRAM GPUs.
• Memory Optimization: Achieves significant memory savings (30%+) compared to standard libraries like Flash Attention 2.
• Use Case: Training a model to summarize entire books or analyze lengthy codebases where standard context windows are insufficient.

Quick Start

Initialize a model for training with a maximum sequence length of 65536 tokens.