johnsonjp34/Llama-3.2-1B-Instruct-Due-Process

Model Card for Model ID

This is Llama 3.2 1B Instruct fine tuned for due process recognition performance. The tuned adapter was part of research evaluating the performance in recognizing legal due process issues by lower parameter models. With the adapter the model displays a score of 38% of responses being in the reasonable range (8+) in the Johnson and Lauf rubric as compared to only 4% of responses being reasonable with the reference model.

Rubric scoring:

J. P. Johnson and A. P. Lauf, "Evaluating Large Language Model Understanding of Due Process," in 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), 13-14 April 2024 2024, pp. 1-5, doi: 10.1109/ICMI60790.2024.10586176.

Brought to you by Josh at www.lexcygnus.com

Model Details

Model Description

• Developed by: Joshua Johnson
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Model Sources [optional]

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• Paper [optional]: J. P. Johnson and A. P. Lauf, "Improving Due Process Recognition in Low Parameter Models," Accepted for publication in the Proceedings of the 2025 IEEE SLAAI International Conference on Artificial Intelligence (ICAI 2025)
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Uses

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How to Get Started with the Model

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Training Details

Training Data

(https://huggingface.co/datasets/johnsonjp34/Due-Process-Training)

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Evaluation

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

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Framework versions

• PEFT 0.16.0