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--- |
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base_model: agentica-org/DeepCoder-1.5B-Preview |
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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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- qwen2 |
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- trl |
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license: mit |
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language: |
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- en |
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datasets: |
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- UCSC-VLAA/STAR-1 |
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--- |
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## Inroduction |
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SA stands for Safety and alignment. We fine tuned DeepCoder-1.5B-Preview with STAR-1 for 250 steps to enhance safety alignment using unsloth SFT cookbook. |
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This model is fine-tuned with policy-grounded data to be safe and aligned with human values while coding. Specifically, it utilizes the STAR-1 dataset, which integrates diverse, deliberative reasoning examples evaluated rigorously by GPT-4o. This ensures the model maintains robust safety standards and minimizes biases, promoting responsible, secure, and effective coding practices without compromising its core reasoning capabilities. |
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## Citation |
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```bibtex |
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@misc{deepcoder2025, |
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title={DeepCoder: A Fully Open-Source 14B Coder at O3-mini Level}, |
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author={Michael Luo, Sijun Tan, Roy Huang, Ameen Patel, Alpay Ariyak, Qingyang Wu, Xiaoxiang Shi, Rachel Xin, Colin Cai, Maurice Weber, Ce Zhang, Li Erran Li, Raluca Ada Popa, Ion Stoica}, |
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howpublished={\url{https://pretty-radio-b75.notion.site/DeepCoder-A-Fully-Open-Source-14B-Coder-at-O3-mini-Level-1cf81902c14680b3bee5eb349a512a51}}, |
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note={Notion Blog}, |
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year={2025} |
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} |
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``` |
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# Uploaded model |
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- **Developed by:** EpistemeAI |
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- **License:** MIT |
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- **Finetuned from model :** agentica-org/DeepCoder-1.5B-Preview |
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This qwen2 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) |
