FragenAntwortLLMGPU
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.
Resource information
- Format
- gz
- Original repository
- 12634133
- DOI
- 10.5281/zenodo.12634133
- Credit basis
- Creators in Zenodo record metadata
- Access
- Open files available from the original Zenodo deposit
- Last checked
- Nov 5, 2026
- License
- mit-license
- Last record update
- Nov 5, 2026
About this resource
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.