KS

Byte-level GPTs that dream up login-style usernames (darkphoenix, Cargan66), trained on the ks46/usernames corpus. Every folder is one trained model: its checkpoint (ckpt.pt), the export for the single-threaded x86-64 batch kernel ndgen (model-int7.ndq, model.ndq), the kernel's golden reference NLLs, eval.json, manifest.json, samples.txt and a card with the details. Vocabulary is 256 bytes with byte 0 as the stop token; the held-out split is xxh364(name) % 64 == 0, so bits/char are comparable only between models trained on the same corpus.