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--- |
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base_model: unsloth/gpt-oss-20b-unsloth-bnb-4bit |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- gpt_oss |
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- trl |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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This fine tune model is inspired by Nathan Lambert's talk "Traits of Next Generation Reasoning Models". |
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It introduces a structured multi-phase reasoning cycle for large language models (LLMs). |
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The fine tune model extends beyond simple question-answer pairs by adding explicit reasoning phases: |
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- Planning – The model outlines a step-by-step plan before attempting a solution. |
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- Answering – The model provides its initial solution. |
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- Double-Checking – The model revisits its answer, verifying correctness and coherence. |
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- Confidence – The model assigns a confidence score or justification for its final response. |
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This structure encourages models to reason more transparently, self-correct, and calibrate their confidence. |
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# Uploaded model |
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- **Developed by:** EpistemeAI |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/gpt-oss-20b-unsloth-bnb-4bit |
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This gpt_oss model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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