# Multi-task QA

PuddleJumper-13B-V2 is a hybrid model that combines the strengths of EverythingLM-V3-13b QLoRa and OpenOrca-Platypus2-13B, suitable for various natural language processing tasks.

This is a sentence transformer model based on DistilBERT, capable of mapping sentences and paragraphs into a 768-dimensional dense vector space, suitable for sentence similarity and feature extraction tasks.

A multi-functional model based on the T5 architecture, integrating question answering systems, text summarization, and sentiment detection, fine-tuned on multiple datasets.