This fine tune model is inspired by Nathan Lambert's talk "Traits of Next Generation Reasoning Models".
It introduces a structured multi-phase reasoning cycle for large language models (LLMs).
The fine tune model extends beyond simple question-answer pairs by adding explicit reasoning phases:
This gpt_oss model was trained 2x faster with
Unsloth and Huggingface's TRL library.
