---
base_model: agentica-org/DeepCoder-1.5B-Preview
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
license: mit
language:
- en
datasets:
- UCSC-VLAA/STAR-1
---

## Inroduction
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.

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.


## Citation

```bibtex
@misc{deepcoder2025,
  title={DeepCoder: A Fully Open-Source 14B Coder at O3-mini Level},
  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},
  howpublished={\url{https://pretty-radio-b75.notion.site/DeepCoder-A-Fully-Open-Source-14B-Coder-at-O3-mini-Level-1cf81902c14680b3bee5eb349a512a51}},
  note={Notion Blog},
  year={2025}
}
```


# Uploaded  model

- **Developed by:** EpistemeAI
- **License:** MIT
- **Finetuned from model :** agentica-org/DeepCoder-1.5B-Preview

This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)