---
language:
- en
- it
license: apache-2.0
tags:
- unsloth
- llama3
- NER
- RE
- OIE
- LLIMONIIE
base_model:
- unsloth/llama-3-8b-instruct-bnb-4bit
---
# LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction


LLIMONIE generalizes IE across diverse domains without requiring input ontologies.

-
Perform three tasks:
  - **Open Named Entity Recognition**

  - **Open Relation Extraction**

  - **Joint Entity and Relation Extraction**


## 💻 Quick Start
### Setup conda environment
Install the unsloth package following the repo [guide](https://github.com/unslothai/unsloth?tab=readme-ov-file#conda-installation)
### Clone the repository
```bash
git clone https://github.com/leonardoPiano/LLIMONIE.git
```
### Run the generation
```python
from PromptTemplates.instruct_prompt_templates import  NER,RE,JOINT
from LLM.Unsloth import UnslothLLM
model_path="leopiano98/LLIMONIIE_llama3-8b"

llimonie=UnslothLLM(model_path,inference=True)
task=NER
text="Alessandro Manzoni è considerato uno dei maggiori romanzieri italiani di tutti i tempi per il suo celebre romanzo I promessi sposi"
messages = [{"role": "system", "content": task},
                        {"role": "user", "content": text}]
output= llimonie.generate(messages, max_new_tokens=512)
#output: Alessandro Manzoni[Writer|Person]; I promessi sposi[Novel|Book]; italiani[Nationality|Ethnicity] 
```
- **Developed by:** leopiano98
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-instruct-bnb-4bit

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)