Main Purpose
LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method.
Key Features
- Capable of handling long contexts of 256k tokens or even more
- Built upon the foundation of OpenLLaMA and fine-tuned using the Focused Transformer (FoT) method
- Supports longer contexts than traditional language models
Use Case
- LongLLaMA can be used for tasks that require processing and understanding of long contexts, such as long-form text generation, document summarization, and context-aware language understanding
