rostlabs/rost-126m-diacritics-normalized

126M parameter nanochat GPT (base stage), research tag normalized, checkpoint step 001920.

Part of the rost model zoo — the full set of trained variants behind the rost research series, published for reproducibility. This is a research model, not a product.

architecture	nanochat GPT, 8 layers, 512 embed, 2048 context
tokenizer	included under tokenizer/ (32,768 vocab)
training mixture	Romanian, cedilla forms normalized to comma-below
stage	base
val bpb (own split)	0.95689

Diacritics-study arm (research tag normalized, d8). The winning convention: normalize legacy cedilla encodings, keep the diacritics.

Validation bits-per-byte is measured on this arm's own validation split and is not comparable across arms — cross-arm comparisons in the rost write-ups are always cross-evaluated on identical text.

Licence

CC-BY-NC-4.0, non-commercial, inherited from the most restrictive component of the training data.