# Long Document Summarization

Buddhi-128k-Chat is a pioneering general-purpose chat model with a 128K context window, finely tuned based on Mistral 7B Instruct and optimized through innovative YaRN technology to handle extended context lengths of up to 128,000 tokens.

This is a large-scale book summarization model based on the LED architecture, specifically designed for long document summarization tasks, particularly for generating summaries of book content.

A book summarization generation model based on the Pegasus-X-Large architecture, excelling in handling summarization tasks for long documents and book content.

A long-text summarization model based on the T5 architecture, capable of processing inputs up to 16,384 tokens, suitable for book and technical document summarization tasks.

A book summarization model based on the Long-T5 architecture, capable of processing long documents and generating high-quality summaries.

A long-document encoder-decoder (LED) model fine-tuned on the Billsum dataset, specializing in legal text summarization

A Longformer Encoder-Decoder model fine-tuned on the ILC dataset, specifically designed for legal document summarization tasks

A text summarization model based on the LED architecture, specifically designed for generating summaries of technical, academic, and narrative long texts.

A long-document summarization model based on the LED architecture, specifically optimized for book chapter and full-book level summarization tasks