Modelpublic

WindyWord/translate-windy-hplt-lt-en

sourceHugging Facecc-by-4.0updated 2mo agoView on Hugging Face

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Model Card

translate-windy-hplt-lt-en — lt to en

CTranslate2 INT8 bilingual translation model, derived from `HPLT/translate-lt-en-v2.0-hplt_opus` (the HPLT project, CC-BY-4.0).

CC-BY-4.0 permits commercial use and modification and requires attribution; this notice provides it. Windstorm Labs did not train the base model.

Recovery note

HPLT publishes native Marian (.npz + .spm + .vocab) and marks its repos inference: false. An earlier conversion of this model to transformers format corrupted the weights, producing untranslatable output, and the model was written off. It was recovered on 2026-07-26 by converting the original .npz with the official Marian converter. The model was always fine; the conversion was not.

What was changed

A deliberately minimal LoRA fine-tune ("windy hallmark") merged into the base weights.


Rank / alpha	8 / 16
Learning rate / steps	2.5e-06 / 50
Target modules	`q_proj`, `v_proj`
Seed	42 (reproducible)
Training data	opus100_lt-en (clinic cache), 2000 sentence pairs
Tensors modified	36
Max absolute weight delta	3.452e-05

Provenance

base   model.bin sha256  102fffc9be89535964fe2032c23382c656e360581e2a269f8a21298ff3e82c17
this   model.bin sha256  c8b96d26addce720870eec0fba0c82beeae479774eb92e0713cf79a8354f4322

Verified on the quantized artifact you download, not merely internal weights.

Evaluation

FLORES-200 devtest, 200 sentences, beam 4, CTranslate2 INT8 on CPU. Metrics: spBLEU (flores200 tokenizer) + chrF (word_order=0).

	spBLEU	chrF
this model	28.5	53.37
upstream, pre-fog	28.17	—

Limitations

—One language pair only (lt to en).
—FLORES-200 is news and encyclopedic prose; it says little about conversational register.
—No human evaluation was performed.