Jev is a typed model that returns probability scores for multiple passages in a single request and applies binary classification filters. In a benchmark test, it processed 30 candidates 4.4x faster than a MiniLM reranker while achieving higher recall.

Name: Jev is a typed model that returns probability scores for multiple passages in a single request and applies binary classification filters. In a benchmark test, it processed 30 candidates 4.4x faster than a MiniLM reranker while achieving higher recall.
Uploaded: 2026-10-22T06:01:37.834Z
Channel: ridark_eth
Description: Jev is a typed model that returns probability scores for multiple passages in a single request and applies binary classification filters. In a benchmark test, it processed 30 candidates 4.4x faster than a MiniLM reranker while achieving higher recall.

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Discovered 2026-10-22, refreshed 2026-10-22. Descriptions and stats are pulled from the project's own X post and refreshed automatically — they aren't independently verified by JevTracks beyond the initial eligibility check.