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## Acknowledgements
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A huge thank you is due to the open-source community and the team behind **DeepSeek‑R1‑Distill‑Qwen‑1.5B**, whose groundwork made this innovation possible. This model is a testament to what can be achieved with passion, creativity, and a singular vision—developed entirely by a solo researcher while drawing inspiration from Berkeley’s forward-thinking research ecosystem.
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## Acknowledgements
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A huge thank you is due to the open-source community and the team behind **DeepSeek‑R1‑Distill‑Qwen‑1.5B**, whose groundwork made this innovation possible. This model is a testament to what can be achieved with passion, creativity, and a singular vision—developed entirely by a solo researcher while drawing inspiration from Berkeley’s forward-thinking research ecosystem.
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## Special Thanks
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We extend our sincere gratitude to the following teams and organizations whose contributions and ideas were instrumental in this project:
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- Qwen Team (Alibaba Cloud): for creating the exceptional QwQ-32B model used as the distillation source.
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- Agentica-org (Berkeley Sky Computing Lab and Berkeley AI Research): for valuable insights and pioneering reinforcement learning techniques.
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- DeepSeek AI: for developing the robust foundational model upon which this research is built.
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Their groundbreaking work made our innovations possible.
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