Quantization made by Richard Erkhov.
IPC-gemma - bnb 4bits
Original model description:
library_name: transformers
tags:
- legal
license: apache-2.0
datasets:
- karan842/ipc-sections
metrics:
- accuracy
Model Card for Model ID
Model Description
IPC-Gemma: AI Model for Indian Legal Code Analysis
IPC-Gemma is an advanced AI model designed to assist with tasks related to the Indian Penal Code (IPC). Trained on a comprehensive dataset of IPC sections and legal case information, this model is capable of analyzing textual descriptions of illegal activities and providing relevant insights.
Key features of IPC-Gemma:
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IPC Section Lookup: Given a description of an illegal act, the model can quickly identify the corresponding IPC section that covers that offense.
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Offense and Punishment Prediction: Based on the input description, IPC-Gemma can predict the specific offense committed and the associated punishment or penalty.
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Interpretable Outputs: Along with the predicted offense and punishment, the model provides the relevant IPC section details to offer transparency and context around its analysis.
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Legal Domain Expertise: Leveraging the Gemma language model architecture, IPC-Gemma has been fine-tuned to excel in understanding and reasoning about legal terminology and concepts.
This model is particularly useful for legal professionals, law enforcement agencies, and individuals seeking to better understand the Indian legal system. By automating the process of identifying offenses and their corresponding punishments, IPC-Gemma can save time, improve accuracy, and enhance decision-making in a variety of legal and criminal justice applications.
Whether you need to quickly look up the relevant IPC section for a given scenario or analyze the potential consequences of an illegal act, IPC-Gemma is a powerful AI tool that can provide valuable insights and support.
- Developed by: Karan Shingde
- Language(s) (NLP): English
- Finetuned from model: google/gemma-2b-it
Training Data
Hardware
Kaggle GPU-P100
Model Card Authors [optional]
