Published June 24, 2024 | Version 0.1.9
Computational notebook Open

FragenAntwortLLMGPU

  • 1. University of Luxembourg

Description

Incorporating question and answer pairs is crucial for creating accurate, context-aware, and user-friendly Large Language Models. FragenAntwortLLMGPU is a Python package designed for processing PDF documents and generating efficient Q&A pairs using large language models (LLMs) on CPU and GPU. This package can be used to fine-tune an LLM. It leverages various NLP libraries and the Mistral v1 LLM (https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF) to achieve this.

Files

Files (8.1 kB)

Name Size Download all
md5:b97539aca4842ce8ff86d10c78e17f14
8.1 kB Download

Additional details

Dates

Created
2021-06-24

Software

Repository URL
https://pypi.org/project/FragenAntwortLLMGPU/
Programming language
Python
Development Status
Active