~/talk

Why you cannot “apt install” an LLM (yet)

Talkat SFSCON 2025 · 2025-11-07..11-08· [large-language-models]
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slides:none on file

Debian cannot “apt install” current LLMs because models need their training data to meet Debian Free Software Guidelines, datasets are huge (GPT‑2’s original dataset ~40 GB GPT‑2 dataset) and mirrors lack that capacity, and reproducible builds force retraining—costly in time and money (original GPT‑2 training cost ≈ $10k; llm.c retrains the 124M GPT‑2 variant in 20 minutes, larger in ~24h for ~$600). Packaging also raises licensing, transparency, security and mirror-storage problems that smaller ML models or runtimes (OpenCV, llama.cpp) avoid.

AI-written summary · about

  1. 0:00Introduction and Debian overview
  2. 3:21What is a Debian package
  3. 6:12Defining source code for AI models
  4. 8:43Technical challenges of LLM packaging
  5. 13:43Reproducible builds and security
  6. 16:32Transparency and ethical concerns
  7. 20:35Takeaways and Debian priorities
  8. 22:27Q&A session
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