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rost-126m-base
rostlabs/rost-126m-base
rost-126m-base 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.
126M parameter nanochat GPT (base stage), research tag ro30, checkpoint step 001920.
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At a glance
- License
- cc-by-nc-4.0
- Model type
- nanochat-gpt
- Access
- Public
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026
- SHA
- b6181880
Model card
From the Hugging Face model README
rostlabs/rost-126m-base
126M parameter nanochat GPT (base stage), research tag ro30, 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 | 30% Romanian (FineWeb2-ro) / 70% English (ClimbMix), interleaved at document level |
| stage | base |
| val bpb (own split) | 1.01113 |
The bilingual base of the rost RO:EN ratio sweep (research tag ro30, the selected 30:70 arm). Companion SFT: rost-126m-sft.
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.
- Type
- nanochat-gpt
- License
- cc-by-nc-4.0
- Languages
- ro, en
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026