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model-00001-of-00002.safetensorsmodel-00002-of-00002.safetensorsmodel.safetensors.index.jsonconfig.json, tokenizer.json, tokenizer_config.json, chat_template.jinjanyaya-llama-3b-stage0-merged-q4.gguf (quantized full model for Ollama)unsloth/llama-3.2-3b-instruct1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3repo_id = "qbz506/nyaya-llama-3b-stage0"
4subfolder = "full/nyaya-llama-3b-stage0-merged"
5
6model = AutoModelForCausalLM.from_pretrained(
7 repo_id,
8 subfolder=subfolder,
9 torch_dtype="auto",
10 device_map="auto",
11)
12
13tokenizer = AutoTokenizer.from_pretrained(
14 repo_id,
15 subfolder=subfolder,
16 use_fast=True,
17)nyaya-llama-3b-stage0-merged-q4.gguf, then:1cat > Modelfile <<EOM
2FROM ./nyaya-llama-3b-stage0-merged-q4.gguf
3SYSTEM """
4You are a Nyaya reasoning engine. Follow the exact output format provided.
5"""
6PARAMETER temperature 0
7PARAMETER top_p 1
8EOM
9
10ollama create nyaya-llama-3b-stage0-merged-q4 -f Modelfile
11ollama run nyaya-llama-3b-stage0-merged-q4 "<your prompt>"## Samshaya (Doubt Analysis)
## Pramana (Sources of Knowledge)
## Pancha Avayava (5-Member Syllogism)
## Tarka (Counterfactual Reasoning)
## Hetvabhasa (Fallacy Check)
## Nirnaya (Ascertainment)1@misc{sathish2026pramanafinetuninglargelanguage,
2 title={Pramana: Fine-Tuning Large Language Models for Epistemic Reasoning through Navya-Nyaya},
3 author={Sharath Sathish},
4 year={2026},
5 eprint={2604.04937},
6 archivePrefix={arXiv},
7 primaryClass={cs.AI},
8 url={https://arxiv.org/abs/2604.04937},
9}
10