{
 "packFormat": 1,
 "direction": "en-de",
 "source": "en",
 "target": "de",
 "model": {
  "catalogueId": "translate-en-de",
  "repo": "WindyTranslate/translate-en-de",
  "revision": "751ef3680a3c312229aa73a0176a228f0c233b6a",
  "baseModel": "Helsinki-NLP/opus-mt-en-de"
 },
 "licence": "CC-BY-4.0",
 "attribution": "Based on OPUS-MT model Helsinki-NLP/opus-mt-en-de by Helsinki-NLP (Language Technology Research Group, University of Helsinki). Licensed CC-BY-4.0.",
 "notice": "This product uses the model WindyTranslate/translate-en-de\n(https://huggingface.co/WindyTranslate/translate-en-de), published by Windstorm Labs (https://windstormlabs.com).\nBased on OPUS-MT model Helsinki-NLP/opus-mt-en-de by Helsinki-NLP (Language Technology Research Group, University of Helsinki). Licensed CC-BY-4.0.\nWindstorm Labs modified the upstream weights; the model card describes what was changed.\nLicensed under Creative Commons Attribution 4.0 International: https://creativecommons.org/licenses/by/4.0/",
 "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)"
   ]
  }
 },
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   "sha256": "dc9c783c65c8b687f365048e14c77f7d0d76fbf7ac521897165caa585be9aa14"
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   "sha256": "980f013ba461a9bd56a0257357c83a1d1ecbca91cc2599cafe7ce8a9333465ee"
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   "sha256": "bbd1f495eea99c8e21ae086d9146e0fa7b096c3dfdd9ba07ab8b631889df5c9b"
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  "test_vectors.json": {
   "bytes": 27391,
   "sha256": "211495478cf7e1cf7e4ad5d441aecce05da135bb9a6952bcf182a0587f8d206d"
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   "sha256": "d5acea957b265a78554999144459c5e391e0df525864edc8287bc090290baa44"
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 "downloadBytes": 80063011,
 "weightsBytes": 80035620,
 "quality": {
  "benchmark": "FLORES-200 devtest",
  "sentences": 1012,
  "chrf++": 60.72,
  "spbleu": 42.45,
  "ct2_int8_chrf++": 60.95,
  "delta_vs_ct2": -0.23,
  "beam": 4,
  "measured": "2026-10-17",
  "by": "Windy Translate"
 },
 "built": "2026-10-17T16:41:57Z",
 "builder": "export_lean.py (Windy Translate)"
}