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README.md

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-# Reinforcement-Learned Teacher Student 7B
+# RLT-7B
 
 This repository contains a 7B parameter student model trained using the **Reinforcement-Learned Teachers (RLT)** pipeline introduced in our paper [Reinforcement Learning Teachers](https://arxiv.org/abs/2506.08388).
 
-## Model Description
+## Model Details
+
+- **Developed by:** [Sakana AI](https://sakana.ai/)
+- **Model type:** Autoregressive Language Model
+- **License:** Apache License, Version 2.0
+- **Paper:** https://arxiv.org/abs/2506.08388
+- **Code:** https://github.com/SakanaAI/RLT
 
-The 7B RLT student is distilled from a 7B Reinforcement-Learned Teacher, which has been explicitly trained to produce high-quality reasoning traces optimized for student distillation.
+## Model Description
 
-The model was trained with supervised fine-tuning using the same hyperparameters, the system prompt, and the reasoning tags from [Li et al. 2025](https://arxiv.org/pdf/2502.07374).
+This 7B RLT student was distilled from a 7B Reinforcement-Learned Teacher, which has been explicitly trained to produce high-quality reasoning traces optimized for student distillation. The model was trained with supervised fine-tuning using the same hyperparameters, the system prompt, and the reasoning tags from [Li et al. 2025](https://arxiv.org/pdf/2502.07374).
 Evaluation was conducted using the [SkyThought](https://github.com/NovaSky-AI/SkyThought) library at commit `4bb8f3e`. Please refer to our [repository](https://github.com/SakanaAI/RLT) and [paper](https://arxiv.org/abs/2506.08388) for details and results.