Purebyte
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- purebyte-train Public
The training stack for PureByte: from a task definition to a verified GGUF specialist in 25 minutes to an hour on one consumer GPU. Synthetic look-alikes grounded in real bytes, leak checks against the exams, criteria frozen before training, multi-seed runs with controls, and proof that the C++ runtime gives the same answers.
- purebyte Public
Tiny byte-level AI on CPU: a zero-dependency C++17 runtime and neural decision models (0.8 ms per 64-byte decision, 9.4 MB RAM). Reads raw bytes, no tokenizer. Specialists for secret scanning (F1 0.797 vs 0.337 for gitleaks on CredData) and PII redaction. Code under Apache-2.0; model weights under their own license.
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