metadata

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

@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 and Huggingface's TRL library.