Sup computer is a research studio that builds small language models from scratch. These models are small enough to train end to end on a consumer laptop while remaining useful. The studio emphasizes open-source methods that are LLM-assisted, with a mixture of models handling each step from dataset creation to training and evaluation under human direction.
The released models include daydream-chess-nanogpt, which plays chess without knowing the rules by learning move by move from games across three board sizes in versions v1, v1-grand, and v1-micro. Gatsby-nanogpt bends any story toward the green light with an obsession level that can be dialed from 1 to 5 in versions v2 and v1. Glyph-nanogpt draws the lowercase alphabet one letter at a time as a single evolving model. Kenosha-kid-nanogpt dreams endlessly on just six words in versions v2 and v1. Shakespeare-nanogpt writes Shakespeare from scratch and improves with each research round in versions v3, v2, and v1.
Research notes document outcomes such as training around 60 models and releasing 11 after one month, each starting from a question. These models are described as knowledge-light and shaped like their data, too small to chat with. The long-term direction involves inventing harnesses that turn each model into an instrument. Additional notes cover three predictions from a font chapter experiment.
In the Foundation models & chat space, sup computer takes a focused approach. It focuses on training and experimenting with small, specialized language models on a consumer laptop without needing large-scale compute resources. sup computer is an open-source project aimed at developers. The project is open source (Open Source). sup computer is available on the web.
It is developed by sup computer, and the product first shipped in 2026. The project is developed in the open on GitHub with 246 commits in the last 90 days. Among its 3 catalogued features are Open Source Models, Research Notes, and Model Training.
Latest indexed changes and source events
1 month and 60 models later verified by the PulseGate indexer
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