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gpt-oss-deepplan
EpistemeAI/gpt-oss-deepplan
gpt-oss-deepplan is a machine learning model from EpistemeAI. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
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).
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Public
Updated Sep 20, 2025
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43.8 MB
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Sep 20, 2025
- Updated
- Sep 20, 2025
- SHA
- a6349a24
Base models
Model card
From the Hugging Face model README
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.
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- Sep 20, 2025
- Updated
- Sep 20, 2025