Security and Licensing

Security, Data Privacy and Licensing

flowchart LR
    subgraph Remote[External / downloaded content]
      Hub[Hugging Face Hub weights + tokenizer]
      Pkgs[Python dependency packages]
    end
    subgraph Local[Developer workstation / Colab runtime]
      App[Training scripts]
      Data[Embedded example data]
      Disk[(Local model outputs)]
    end
    Hub -->|model download| App
    Pkgs -->|installed dependencies| App
    Data --> App
    App --> Disk
    Disk -.->|review before publishing| Public[Public GitHub repository]

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Security notes

• The repository has no server endpoint and therefore no runtime API authentication boundary to document.
• Pretrained weights and Python dependencies are obtained from external sources; pin versions and review trusted origins in reproducible work.
• Do not commit access tokens, personal support tickets, full model checkpoints, local caches, or private datasets.
• The source uses trust_remote_code=True in the unfinished Phi-2 draft. Review third-party code execution risks before running it; prefer turning this off where supported.
• Check all upstream model/dataset terms before redistribution.

Licensing

This project is licensed under the Apache License, Version 2.0.© 2026 Sudhanshu Shukla · Licensed under the Apache License, Version 2.0