sparse/sparse_config.json

{
  "arch": "BertForMaskedLM SPLADE (cp500/opensearch-neural-sparse-en-jp-ko)",
  "precision": "fp16",
  "vocab_size": 105879,
  "hidden": 768,
  "layers": 12,
  "pooling": "max_t(log(1+ReLU(mlm_logits))*mask)",
  "role": "implicit term-level recall (complements explicit infon extraction)",
  "eval": "recall@10=0.988, ja->ja MRR 0.62 (model card eval_summary)",
  "loader": "hyper_gliner.SpladeRetriever.from_pretrained(<repo>/sparse)",
  "note": "DIFFERENT tokenizer/vocab from the extraction model; they meet at infon/doc id, not term_id"
}