LLIMONIIE_phi3-mini

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

Clone the repository

git clone https://github.com/leonardoPiano/LLIMONIE.git

Run the generation

from PromptTemplates.instruct_prompt_templates import  NER,RE,JOINT
from LLM.Unsloth import UnslothLLM
model_path="leopiano98/LLIMONIIE_phi3-mini"

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 : Phi-3-mini-4k-instruct-bnb-4bit

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

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