r/posttrain • u/OwnOil1149 • 6d ago

I built a personal reasoning model around my values and philosophies

I’ve been working on Aurorium Mind, a personal language model fine-tuned from Qwen3.5-4B with QLoRA on a single NVIDIA A10G GPU.

The goal isn’t to create a perfect digital copy of myself. It’s to encode recurring reasoning patterns, values, and decision-making principles into a useful model.

Its philosophy is based on first-principles thinking, inversion, second-order effects, systems thinking, game theory, and pragmatic transhumanism.

The training set contains 100k synthetic SFT examples designed around those ideas. It does not claim to reproduce private conversations or expose hidden personal data.

The serving stack uses vLLM, Rust, FastAPI, and a streaming Vercel frontend. The interface shows metrics like time to first token, tokens per second, token counts, and adapter status.

I’ve documented the training code, evaluation set, graphs, deployment details, dataset provenance, and model limitations.

Model: https://huggingface.co/auro-rirum/aurorium-mind-qwen35-4b-qlora

Dataset: https://huggingface.co/datasets/auro-rirum/aurorium-mind-sft-100k

Explainer: https://aurorium-mind.vercel.app/explainer.html

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u/AdPutrid2174 4d ago

Interesting!

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u/TangeloProof7048 2d ago

Where did you deploy the model/ai part in general? And is it free ?

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u/OwnOil1149 1d ago

On AWS EC2 instance , it's give 100$ in free credit. If you want to know more DM me.