-Project-Nord-Spiking-Neural-Network-Language-Model

by gtausa197-svg · indexed from github

The first pure SNN language model trained from scratch with a fully original architecture. 618M parameters • 93% sparsity • Runs on phone • Online learning via STDP • $260 total training cost

Nord is a spiking neural network (SNN) language model that processes text through biologically realistic discrete binary spikes — the same computational primitive used by biological neurons. Unlike conventional transformers that activate 100% of parameters on every token, Nord sustains 93% sparsity, meaning only 7% of neurons fire at any given moment.

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