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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.