nyaya-llama-3b-stage0

Model Card for stage_0_corrected

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}, 
}