{
  "model_type": "kenga-embed",
  "architectures": [
    "KengaEmbedEnc"
  ],
  "d": 768,
  "layers": 8,
  "heads": 12,
  "dff": 3072,
  "seq": 160,
  "v": 256,
  "k_attn": 192,
  "k_ff": 512,
  "rank": [
    192,
    512
  ],
  "instruct": true,
  "instruct_retr": "Instruct: Given a query, retrieve relevant passages\nQuery: ",
  "instruct_sts": "Instruct: Retrieve semantically similar text.\nQuery: ",
  "params": 41900288,
  "step": 10400,
  "acc_en": 0.8333333333333334,
  "acc_ru": 1.0,
  "method": "prophet",
  "note": "42M UTF-8 byte bidirectional encoder. Not Giga-480M. Not ruMTEB SOTA."
}