OneBrain Rerank v1 The first entry in the OneBrain model line — the cross encoder reranker used by OneBrain native search (Tier 2 precision stage, CLI v3.4.7+). v1 is not fine tuned. It is a size/speed optimized int8 build of BAAI/bge reranker v2 m3 (Apache 2.0). Future versions (v2+) may be fine tuned for OneBrain's vault search domain; each version ships as its own repo and is sha256 pinned by the OneBrain CLI. Intended use For: reranking a small set of (query, passage) candidates returned by a first stage retriever (BM25 / vector), producing a calibrated 0–1 relevance score. This is the Tier 2 precision stage of OneBrain native search. Not for: retrieval or embedding — it scores query–passage pairs, it does not produce vectors. It is a general (not domain fine tuned) reranker, so it is not tuned for any specialized corpus in v1. Provenance Base: BAAI/bge reranker v2 m3 (Apache 2.0) ONNX export: rozgo/bge reranker v2 m3 (fp32, 2.27 GB) Quantization: dynamic int8 (QInt8 weights), onnxruntime 1.27.0, single file output ( DefaultTensorType=FLOAT for 2GB shape inference skip) model int8.onnx — 569,011,484 bytes · sha256 dd7b26f4a233732aefbe857bef026050582dc7c1bdb8aeda909080bf15b2ad88…
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