EpistemeAI/gpt-oss-deepplan

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:

• Planning – The model outlines a step-by-step plan before attempting a solution.
• Answering – The model provides its initial solution.
• Double-Checking – The model revisits its answer, verifying correctness and coherence.
• Confidence – The model assigns a confidence score or justification for its final response. This structure encourages models to reason more transparently, self-correct, and calibrate their confidence.

Uploaded model

• Developed by: EpistemeAI
• License: apache-2.0
• Finetuned from model : unsloth/gpt-oss-20b-unsloth-bnb-4bit

This gpt_oss model was trained 2x faster with Unsloth and Huggingface's TRL library.