Modelpublic

WindyWord/translate-windy-hplt-mk-en

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

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Model Card

translate-windy-hplt-mk-en — mk to en

CTranslate2 INT8 bilingual translation model, derived from `HPLT/translate-mk-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_mk-en (clinic cache), 2000 sentence pairs
Tensors modified	36
Max absolute weight delta	3.647e-05

Provenance

base   model.bin sha256  16ea7e1d604976f0870110e867b283f3789a8262e53f67b18949931038f0b3db
this   model.bin sha256  37b06acfc74ac4a0cbaf825c8b2b74b1dc4ece85a9985801cd8f796c202f7a7a

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	40.62	63.72
upstream, pre-fog	40.22	—

Limitations

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