qbz506/nyaya-llama-3b-stage0
084
Model Card for stage0corrected
This model is a fine-tuned version of unsloth/llama-3.2-3b-instruct-bnb-4bit. It has been trained using TRL.
Quick start
from transformers import pipeline
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="None", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])Training procedure
This model was trained with SFT.
Framework versions
- PEFT 0.18.1
- TRL: 0.26.1
- Transformers: 5.0.0
- Pytorch: 2.10.0a0+b558c986e8.nv25.11
- Datasets: 4.3.0
- Tokenizers: 0.22.1
Paper: Pramana: Fine-Tuning Large Language Models for Epistemic Reasoning through Navya-Nyaya
Citations
If you use this model/dataset, please cite:
@misc{sathish2026pramanafinetuninglargelanguage,
title={Pramana: Fine-Tuning Large Language Models for Epistemic Reasoning through Navya-Nyaya},
author={Sharath Sathish},
year={2026},
eprint={2604.04937},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2604.04937},
}