TinyBuddy-30M / README.md
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TinyBuddy-30M

A 30 million parameter GPT-style transformer trained on TinyStories.

Architecture

  • 6 layers, 8 attention heads, 256 embedding dim
  • 50,000 vocabulary size (untied weights)
  • 512 context length (trained on 128 for speed)

Training

  • Dataset: TinyStories (5,000 stories)
  • Steps: 1,500
  • Hardware: CPU only
  • Loss: ~5.5 (coherent but not good)

What It Can Do

  • Generate 2-3 word fragments that resemble story patterns
  • Sometimes repeat words from the prompt
  • Produce gibberish that's trying to be English

What It Cannot Do

  • Tell a coherent story
  • Answer questions
  • Anything useful

Why It Exists

To demonstrate that even a tiny transformer learns patterns, not rules. This is a real AI, just a very small one.