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rostlabs/rost-73m-diacritics-normalized
rost-73m-diacritics-normalized is a machine learning model from rostlabs. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
73M parameter nanochat GPT (base stage), research tag normalized-d6, checkpoint step 001920.
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From the Hugging Face model README
73M parameter nanochat GPT (base stage), research tag normalized-d6, 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, 6 layers, 384 embed, 2048 context |
| tokenizer | included under tokenizer/ (32,768 vocab) |
| training mixture | Romanian, cedilla forms normalized to comma-below (sș/ț kept) |
| stage | base |
| val bpb (own split) | 1.03736 |
Diacritics-study arm (research tag normalized-d6), scale sweep point at 73M. Pair with rost-73m-diacritics-stripped: the stripped twin pays ~54% more bits-per-byte on correct Romanian at this scale.
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.
CC-BY-NC-4.0, non-commercial, inherited from the most restrictive component of the training data.