| { |
| "packFormat": 1, |
| "direction": "de-en", |
| "source": "de", |
| "target": "en", |
| "model": { |
| "catalogueId": "translate-de-en", |
| "repo": "WindyTranslate/translate-de-en", |
| "revision": "fb6f91ba4c16c3c3e1778633d1a6c1cd6be4d0ca", |
| "baseModel": "Helsinki-NLP/opus-mt-de-en" |
| }, |
| "licence": "Apache-2.0", |
| "attribution": "Based on OPUS-MT model Helsinki-NLP/opus-mt-de-en by Helsinki-NLP (Language Technology Research Group, University of Helsinki). Licensed Apache-2.0.", |
| "notice": "This product uses the model WindyTranslate/translate-de-en\n(https://huggingface.co/WindyTranslate/translate-de-en), published by Windstorm Labs (https://windstormlabs.com).\nBased on OPUS-MT model Helsinki-NLP/opus-mt-de-en by Helsinki-NLP (Language Technology Research Group, University of Helsinki). Licensed Apache-2.0.\nWindstorm Labs modified the upstream weights; the model card describes what was changed.\nLicensed under the Apache License, Version 2.0: https://www.apache.org/licenses/LICENSE-2.0", |
| "runtime": { |
| "engine": "onnxruntime", |
| "opset": 17, |
| "weights": "int8 (dynamic quantization, MatMul; embedding int8 shared)", |
| "files": { |
| "encoder": "encoder.onnx", |
| "decoder": "decoder.onnx", |
| "sharedEmbedding": "embed.bin (external data of both graphs; keep it next to them)", |
| "sourceTokenizer": "source.spm", |
| "targetTokenizer": "target.spm", |
| "vocab": "vocab.json", |
| "config": "model_config.json" |
| }, |
| "tokenizer": "SentencePiece PIECES from source.spm mapped to ids through vocab.json (unknown piece -> <unk>), then </s>. Raw SentencePiece ids are NOT model ids. Do not use onnxruntime-extensions' tokenizer op.", |
| "sourcePrefixToken": null, |
| "decoding": { |
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| "eosTokenId": 0, |
| "padTokenId": 58100, |
| "neverGenerate": [ |
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| ], |
| "beam": 4, |
| "lengthNormalisation": "sum log-prob / output length", |
| "maxNewTokens": 256 |
| }, |
| "encoder": { |
| "inputs": [ |
| "input_ids [b,s] int64", |
| "attention_mask [b,s] int64" |
| ], |
| "outputs": [ |
| "cross_k_i / cross_v_i [b,8,s,64] for i in 0..5" |
| ] |
| }, |
| "decoder": { |
| "inputs": [ |
| "input_ids [b,1] int64 (start token on step 1, then the last token)", |
| "encoder_attention_mask [b,s] int64", |
| "past_k_i / past_v_i [b,8,t,64] float32 (t = 0 on step 1)", |
| "cross_k_i / cross_v_i (from the encoder)" |
| ], |
| "outputs": [ |
| "logits [b,1,vocab]", |
| "present_k_i / present_v_i [b,heads,t+1,head_dim] (next step's past)" |
| ] |
| } |
| }, |
| "files": { |
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| "sha256": "bc815f26294e0715586d55d006971e05ab262d124927547b06833cc4ba1a8534" |
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| }, |
| "downloadBytes": 80062191, |
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| "quality": { |
| "benchmark": "FLORES-200 devtest", |
| "sentences": 1012, |
| "chrf++": 64.81, |
| "spbleu": 44.79, |
| "ct2_int8_chrf++": 64.75, |
| "delta_vs_ct2": 0.06, |
| "beam": 4, |
| "measured": "2026-10-17", |
| "by": "Windy Translate" |
| }, |
| "built": "2026-10-17T16:42:56Z", |
| "builder": "export_lean.py (Windy Translate)" |
| } |
