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DGurgurov/OpenThinker3-7B-SFT-ES
OpenThinker3-7B-SFT-ES is a machine learning model from DGurgurov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is the result of the first stage of the ReasonXL two-stage reasoning adaptation pipeline applied to open-thoughts/OpenThinker-7B.
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From the Hugging Face model README
This model is the result of the first stage of the ReasonXL two-stage reasoning adaptation pipeline applied to open-thoughts/OpenThinker-7B.
The model is supervised fine-tuned to shift its reasoning language from English to Spanish, using reasoning traces from toroe/ReasonXL-SFT.
The objective is to enable the model to perform its reasoning in the target language while preserving its reasoning capabilities.
The corresponding GRPO model is:
DGurgurov/OpenThinker3-7B-SFT-GRPO-ES
The second stage applies RL (Dr. GRPO) to recover reasoning quality lost during SFT while preserving target-language compliance, using a composite reward over verifiable math problems.
open-thoughts/OpenThinker-7Btoroe/ReasonXL-SFTDGurgurov/OpenThinker3-7B-SFT-GRPO-ESFull training details, evaluation results, and methodology will follow soon.
If you use this model, please cite:
@misc{gurgurov2026reasonxlshiftingllmreasoning,
title={ReasonXL: Shifting LLM Reasoning Language Without Sacrificing Performance},
author={Daniil Gurgurov and Tom Röhr and Sebastian von Rohrscheidt and Josef van Genabith and Alexander Löser and Simon Ostermann},
year={2026},
eprint={2604.12378},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2604.12378},
}