ZeroEntropy Presents Zerank-2 — Lightweight Re-ranker for Accurate Search
ZeroEntropy released Zerank-2, a Qwen3-based cross-encoder with 4 billion parameters designed to re-rank search results with high accuracy. Built for two-stage
◐ Listen to article
ZeroEntropy released Zerank-2, a Qwen3-based cross-encoder with 4 billion parameters designed to re-rank search results with high accuracy. Built for two-stage RAG systems where fast initial retrieval is enhanced by precise document re-ranking, the model is available open-source on HuggingFace.