Indie dev trains Rei-v1, a tiny open reranker model for research agents
gnukeith · x · 2026-10-09
- Indie developer gnukeith released Rei-v1, the first model he trained himself: a tiny decision model for research agents, strongest on anime, programming, and academic research.
- Fine-tuned from google/embeddinggemma-2 as a cross-encoder/reranker: instead of Search API ranking results for everyone, Rei judges each result against your exact question, so the agent spends tokens on what matters.
- Open-sourced on Hugging Face under Apache-2.0, multilingual, small enough for individuals to fine-tune; confidence scores reportedly help agents stay on-task and reduce hallucination.
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