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WindyWord/translate-windy-hplt-ja-en

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

translate-windy-hplt-ja-en — ja to en

CTranslate2 INT8 bilingual translation model, derived from `HPLT/translate-ja-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 / alpha8 / 16
Learning rate / steps2.5e-06 / 50
Target modulesq_proj, v_proj
Seed42 (reproducible)
Training dataopus100_ja-en (clinic cache), 2000 sentence pairs
Tensors modified36
Max absolute weight delta4.258e-05

Provenance

base   model.bin sha256  906bf045aeccd1fbe2524680821c0903f0d7638bbe1f5938231dc4f11ec0dbd4
this   model.bin sha256  b19638fea3390bffae7a9382e13320b15c443d6ec8a0fd256b86b18461ecee18

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).

spBLEUchrF
this model27.654.62
upstream, pre-fog27.81—

Limitations

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