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Netra-NMT
File size: 1,365 Bytes
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{
  "format": "netra-bundle",
  "format_version": 1,
  "name": "netra-nmt",
  "version": "1.0.0",
  "task": "translation",
  "languages": [
    "en",
    "km"
  ],
  "graphs": {
    "encoder": "encoder.onnx",
    "decoder_step": "decoder_step.onnx"
  },
  "components": {
    "preprocess": {
      "type": "nmt-source",
      "lang_markers": {
        "en": "<2en>",
        "km": "<2km>"
      },
      "max_len": 256,
      "en_source": "nfc-collapse-whitespace-lowercase",
      "km_source": "khmercut-segment"
    },
    "decoder": {
      "type": "kv-cache",
      "layers": 2,
      "heads": 8,
      "head_dim": 64,
      "vocab_size": 32000,
      "pad_id": 0,
      "bos_id": 2,
      "eos_id": 3
    },
    "tokenizer": {
      "type": "sentencepiece",
      "model": "spm_32k.model"
    },
    "postprocess": [
      {
        "type": "km-desegment"
      }
    ]
  },
  "metadata": {
    "source_checkpoint": "export_rope",
    "architecture": "encoder-decoder, 12 enc / 2 dec layers, d_model 512, RoPE, RMSNorm, SwiGLU, tied embeddings",
    "license": "MIT"
  },
  "files": {
    "decoder_step.onnx": "23ca5422992f1cc388a1b58109bf1b68cc6352b35ef2e2f7c60c5c9cd5538a2d",
    "encoder.onnx": "7e04885e0c170a2f945de8482c3b83da67fe44716a698875c151caf339b37eae",
    "spm_32k.model": "213884dadb76370b50098e0b5cfeacad3d9813aa415657c7abdbb3bddde61ab7"
  }
}