Pretraining data for language models: tokenize a text corpus once into resumable, sha256-verified binary shards, move it to a GPU server, and read random training windows via numpy.memmap. Weighted source mixing, PyTorch DataLoader adapters, CLI. Pretraining only - not for SFT or chat data.
Pretraining data for language models: tokenize a text corpus once into resumable, sha256-verified binary shards, move it to a GPU server, and read random training windows via numpy.memmap. Weighted source mixing, PyTorch DataLoader adapters, CLI. Pretraining only - not for SFT or chat data.