translate-windy-hplt-te-en — te to en

CTranslate2 INT8 bilingual translation model, derived from HPLT/translate-te-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_te-en (clinic cache), 2000 sentence pairs
Tensors modified	36
Max absolute weight delta	4.013e-05

Provenance

base   model.bin sha256  868ee2644c795eac703ac6c042d1a48c70b9269ceaa84fd23783f326ebf94413
this   model.bin sha256  84aa05d18afc8e4a4b2ec8e94794dd2bd23284c4031097c9676094b9df3624ae

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	32.82	57.61
upstream, pre-fog	30.74	—

Limitations

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