vixhaℓ is the public developer identity behind TheVixhal and vixhal-baraiya. Their MicroGPT-C project implements training and sampling for a small character-level transformer in a single C file.[1][2][3]
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The public account describes study spanning physics and AI/machine learning, with mathematics, and work on graph-database technology at Hydra. Their GitHub biography emphasizes rebuilding systems from scratch. MicroGPT-C applies that interest to the implementation of a transformer, making the numerical training path visible rather than presenting only an API around a pretrained model.[1][2]
Contributions
MicroGPT-C includes a forward pass, backpropagation, the Adam optimizer and sampling without dependencies beyond the C standard library. It trains on a list of names and generates new character sequences. Putting the operations in one implementation lets a reader trace how predictions produce a loss and how gradients update the model, without a large training framework hiding those steps. The repository’s small-model timing and loss results describe its own examples, not the performance of large language models.[3]
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MicroGPT-C
github.comA dependency-free C implementation of a small character-level transformer, including training and sampling.
Read the single C implementation alongside the README and train it on the supplied names. A C compiler and command-line familiarity are required; basic calculus and neural-network knowledge help explain backpropagation.
Repository owner[3]Original source