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WindyTranslate/translate-windy-hplt-te-en
translate-windy-hplt-te-en is a translation model from WindyTranslate. Use it when you need text moved from one language to another. It is set up for ctranslate2. The card lists the license as cc-by-4.0.
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-windy-hplt-te-en
Downloads · 30 days
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From the Hugging Face model README
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-windy-hplt-te-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.
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.
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, 2000 sentence pairs |
| Tensors modified | 36 |
| Max absolute weight delta | 4.013e-05 |
base model.bin sha256 868ee2644c795eac703ac6c042d1a48c70b9269ceaa84fd23783f326ebf94413
this model.bin sha256 84aa05d18afc8e4a4b2ec8e94794dd2bd23284c4031097c9676094b9df3624ae
Verified on the quantized artifact you download, not merely internal weights.
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 | — |