arman-bd/guppylm

Trend Velocity Score: 0.00
Opportunity Score: 25.00
Confidence Score: 100.00
Language: <a class="text-blue-600 dark:text-blue-400 hover:underline" href="/languages/Python">Python
First Seen: 4 months ago

Worth installing(Strong adoption and recent activity)

A ~9M parameter LLM that talks like a small fish.

Why this repo matters

Demystifies LLM training with a complete nine-million parameter model trainable in five minutes on free Colab notebooks.
Provides full transparency into data generation, tokenization, architecture, and training loops to eliminate black box confusion.
Includes browser-based WebAssembly inference and open weights for immediate experimentation without local GPU hardware requirements.

3.8k stars+540 over 36 snapshots6/22/2026 – 9/29/2026

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