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Notebooks

Interactive Jupyter notebooks for learning AI/ML with Bazzite AI.

Auto-Generated Documentation

This documentation is automatically generated from notebooks in the notebooks/ directory. Pages are generated dynamically at MkDocs build time.

Statistics: 58 notebooks across 3 collections


Collections

Unsloth Fine-tuning

Production fine-tuning workflows using the Unsloth framework for efficient LLM training

Notebooks: 37

Topics:

  • Setup (1 notebooks)
  • Fast Inference (3 notebooks)
  • Vision Training (2 notebooks)
  • SFT Training (5 notebooks)
  • GRPO Training (5 notebooks)
  • DPO Training (2 notebooks)
  • Reward Training (2 notebooks)
  • RLOO Training (5 notebooks)
  • QLoRA Experiments (12 notebooks)

LLMs on Supercomputers

Comprehensive course covering prompt engineering, RAG, and fine-tuning. Adapted from TU Wien's AI Factory Austria training materials.

Notebooks: 15

Topics:

  • D0 - Setup (1 notebooks)
  • D1 - Prompt Engineering Essentials (6 notebooks)
  • D2 - Retrieval Augmented Generation (2 notebooks)
  • D3 - Fine-tuning on One GPU (6 notebooks)

Ollama Integration

Hands-on notebooks demonstrating Ollama usage with GPU acceleration on Bazzite AI

Notebooks: 6