Instructions to use Rcross/IPM-Llama-2-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rcross/IPM-Llama-2-13b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
metadata
license: mit
language:
- en
library_name: peft
pipeline_tag: summarization
tags:
- llama-factory
- lora
IPM-Llama-2-13b
This model is a fine-tuned version of Llama-2-13b-hf, designed to support the inverse prompting process for the ACL2024 Findings paper "Towards Better Question Generation in QA-Based Event Extraction."
Paper Link: https://arxiv.org/abs/2405.10517
GitHub Repository: https://github.com/Rcrossmeister/RLQG
This Hugging Face repository only provides LoRA weights. Please merge them with the backbone model before use.
Backbone Model: https://huggingface.co/meta-llama/Llama-2-13b-hf